Medical ventilator systems have long been used to provide ventilatory and supplemental oxygen support to patients. These ventilators typically comprise a source of pressurized gas, such air or oxygen, which is fluidly connected to the patient through a conduit or tubing. As each patient may require a different ventilation strategy, modern ventilators can be customized for the particular needs of an individual patient. For example, several different ventilator modes or settings have been created to provide better ventilation for patients in various different scenarios.
This disclosure describes systems and methods for providing drive pressure ventilation of a patient. The disclosure describes a novel breath type that provides spontaneous ventilation that allows for the calculation of drive pressure that does not require invasive monitoring. To accomplish this goal, the drive pressure (DP) breath type (also referred to herein as drive pressure ventilation) briefly interrupts and smoothly transitions from a base spontaneous breath subtype, into a temporary breath subtype in response to the detection of a condition. As such, ventilator systems and methods utilizing the DP breath type as disclosed herein may adjust ventilator parameters and/or perform other actions based on a monitored dynamic drive pressure.
In part, this disclosure describes a method for drive pressure ventilation of a patient with a ventilator. The method includes ventilating the patient with the ventilator in a spontaneous breath subtype; non-invasively monitoring respiratory data of the patient with at least one of a pressure sensor and a flow sensor operatively coupled to at least one of a patient circuit or a pressure generating system; analyzing the respiratory data to detect a patient effort; delivering inspiratory gas to the patient with the ventilator in response to a detected patient effort; determining an occurrence of a condition by the ventilator based on information gathered by the ventilator, in response to the condition, determining a percent support setting for the PA breath subtype based on a target setting or the respiratory data from the spontaneous breath subtype; automatically and temporarily switching from the spontaneous breath subtype into the PA breath subtype for at least three breaths in response to calculating the percent support setting; estimating a respiratory system compliance and a respiratory system resistance of the patient during the PA breath subtype based on the respiratory data; returning to the spontaneous breath subtype after the at least three breaths; calculating a drive pressure of the patient during the spontaneous breath subtype utilizing the respiratory system compliance, the a respiratory system resistance, and the respiratory data received after the return; and displaying the drive pressure. The spontaneous breath subtype does not include a proportional assist (PA) breath subtype.
Yet another aspect of this disclosure describes a ventilator system for delivering drive pressure ventilation to a patient. The ventilator system includes a pressure generating system, a ventilation tubing system, one or more non-invasive sensors, a controller, and a display. The pressure generating system generates a flow of breathing gas. The ventilation tubing system includes a patient interface. The patient interface connects the pressure generating system to the patient. The one or more non-invasive sensors are operatively coupled to at least one of the pressure generating system or the ventilation tubing system. The one or more non-invasive sensors generate output indicative of at least one of flow, volume or pressure. The controller collects and analyzes the output to determine a condition. In response to the condition, the controller temporarily switches the ventilator system from a spontaneous breath subtype into a proportional assist (PA) breath subtype for at least one breath. The controller estimates a respiratory system compliance of the patient during the PA breath subtype based on the output collected during the PA breath subtype. Additionally, after the at least one breath, the controller switches the ventilator system from the PA breath subtype back to the spontaneous breath subtype. After a return to the spontaneous breath subtype, the controller calculates a drive pressure of the patient based on the respiratory system compliance and the output after the return. The display displays the drive pressure.
The disclosure further describes a non-transitory computer-readable medium having computer-executable instructions for performing a method of ventilating a patient with a ventilator. The method includes ventilating the patient with the ventilator in a spontaneous breath subtype; monitoring respiratory data of the patient with at least one of a pressure sensor and a flow sensor operatively coupled to at least one of a patient circuit or a pressure generating system; analyzing the respiratory data to detect a patient effort; delivering inspiratory gas to the patient with the ventilator in response to a detected patient effort; determining an occurrence of a condition by the ventilator based on information gathered by the ventilator; in response to the condition, automatically and temporarily switching from the spontaneous breath subtype into the PA breath subtype for at least three breaths; estimating a respiratory system compliance and a respiratory system resistance of the patient during the PA breath subtype based on the respiratory data; calculating a drive pressure of the patient during the spontaneous breath subtype utilizing respiratory system compliance, the respiratory system resistance, and the respiratory data received during the spontaneous breath subtype; and performing an action based on the drive pressure. The spontaneous breath subtype does not include a PA breath subtype. A percent support setting for the PA breath subtype is determined based on at least one of a target setting, a non-invasively monitored flow, a non-invasively monitored pressure, or a noninvasively monitor tidal volume during the spontaneous breath subtype from at least one of the pressure sensor and the flow sensor by the ventilator.
These and various other features as well as advantages which characterize the systems and methods described herein will be apparent from a reading of the following detailed description and a review of the associated drawings. Additional features are set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the technology. The benefits and features of the technology will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.
The following drawing figures, which form a part of this application, are illustrative of embodiments of systems and methods described below and are not meant to limit the scope of the invention in any manner, which scope shall be based on the claims appended hereto.
Although the techniques introduced above and discussed in detail below may be implemented for a variety of medical devices, the present disclosure will discuss the implementation of these techniques in the context of a medical ventilator for use in providing ventilation support to a human patient. A person of skill in the art will understand that the technology described in the context of a medical ventilator for human patients could be adapted for use with other systems such as ventilators for non-human patients and general gas transport systems.
Medical ventilators are used to provide a breathing gas to a patient who may otherwise be unable to breathe sufficiently. In modern medical facilities, pressurized air and oxygen sources are often available from wall outlets. Accordingly, ventilators may provide pressure regulating valves (or regulators) connected to centralized sources of pressurized air and pressurized oxygen. The regulating valves function to regulate flow so that respiratory gas having a desired concentration of oxygen is supplied to the patient at desired pressures and rates. Ventilators capable of operating independently of external sources of pressurized air are also available.
While operating a ventilator, it is desirable to control the percentage of oxygen in the gas supplied by the ventilator to the patient. Further, as each patient may require a different ventilation strategy, modern ventilators can be customized for the particular needs of an individual patient.
For the purposes of this disclosure, a “breath” refers to a single cycle of inspiration and exhalation delivered with the assistance of a ventilator. The term “breath type” refers to some specific definition or set of rules dictating how the pressure and flow of respiratory gas is controlled by the ventilator during a breath.
A ventilation “mode”, on the other hand, is a set of rules controlling how multiple subsequent breaths should be delivered. Modes may be mandatory, that is controlled by the ventilator, or spontaneous, that is that allow a breath to be delivered or controlled upon detection of a patient's effort to inhale, exhale or both. For example, a simple mandatory mode of ventilation is to deliver one breath of a specified mandatory breath type at a clinician-selected respiratory rate (e.g., one breath every 6 seconds). Until the mode is changed, ventilators will continue to provide breaths of the specified breath type as dictated by the rules defining the mode. For example, breath types may be mandatory mode breath types (that is, the initiation and termination of the breath is made by the ventilator) or spontaneous mode breath types (which refers to breath types in which the breath is initiated and terminated by the patient). Examples of breath types utilized in the spontaneous mode of ventilation include proportional assist (PA) breath type, volume support (VS) breath type, pressure support (PS) breath type, and etc. Examples of mandatory breath types include a volume control breath type, a pressure control breath type, and etc.
Positive pressure delivery during mechanical ventilation can be injurious to the lung. Therefore, measurements and methods that would allow for minimizing the lung injury have been utilized by mechanical ventilators to reduce lung injuries. Previously, studies showed that utilizing low tidal volume was likely to prevent ventilator-induced lung injury (VILI). However, newer studies have shown that low tidal volumes only increase the chance of patient survival (or reduce the likelihood VILI) if this low tidal volume is associated with decreases in patient drive pressure. Further, studies have shown that increases in patient drive pressure, particularly above 15 cm of H2O, are strongly associated with decreased patient survival rates. As such, patient drive pressure may be a better mechanical ventilation parameter than tidal volume for survival prediction and/or ventilation control.
Patient drive is the pressure that is applied ‘inside the lungs’ causing them to inflate. This ‘driving pressure’ is what the lungs are exposed to in order to inflate them against the compliance of the lung. For a mechanically ventilated patient, the patient drive pressure can be calculated as the pressure above baseline pressure applied by the ventilator at the patient wye (i.e., Pwye−Pend exp), minus the pressure to overcome the artificial airway (i.e., RTUBE*QLUNG), minus the pressure created by the respiratory muscles (i.e., Pmus). Accordingly, the equation for calculating drive pressure is listed below:
Pdrive=Pwye−Pend exp−RTUBEQLUNG−Pmus, (EQ #1)
where:
Accordingly, the current disclosure describes a drive pressure (DP) breath type for ventilating a patient. The DP breath type (also referred to herein as drive pressure ventilation) is a spontaneous breath type that allows for the calculation of drive pressure that does not require invasive monitoring. To accomplish this goal, the DP breath type briefly interrupts and smoothly transitions from a base spontaneous breath subtype into a temporary proportional assist (PA) breath subtype for a predetermined period in response to a condition and then smoothly transitions back into the base spontaneous breath subtype. In some aspects, the DP breath type accomplishes the smooth transition by determining a percent support setting for the PA breath subtype based on the target settings of the base spontaneous breath subtype and/or based on non-invasively monitored/measured parameters. In other aspects, a predetermined percent support setting is utilized for the transition by the DP breath type. As such, ventilator systems and methods utilizing the DP breath type may adjust ventilator parameters and/or perform other actions based on a monitored drive pressure.
Ventilation tubing system 130 (or patient circuit 130) may be a two-limb (shown) or a one-limb circuit for carrying gases to and from the patient 150. In a two-limb embodiment, a fitting, typically referred to as a “wye-fitting”, may be provided to couple a patient interface 180 (as shown, an endotracheal tube) to an inspiratory limb 132 and an expiratory limb 134 of the ventilation tubing system 130.
Pneumatic system 102 may be configured in a variety of ways. In the present example, pneumatic system 102 includes an expiratory module 108 coupled with the expiratory limb 134 and an inspiratory module 104 coupled with the inspiratory limb 132. Compressor 106 or other source(s) of pressurized gases (e.g., air, oxygen, and/or helium) is coupled with inspiratory module 104 and the expiratory module 108 to provide a gas source for ventilatory support via inspiratory limb 132.
The inspiratory module 104 is configured to deliver gases to the patient 150 according to prescribed ventilatory settings. In some embodiments, inspiratory module 104 is configured to provide ventilation according to various breath types, e.g., via a DP breath type, or via any other suitable breath types.
The expiratory module 108 is configured to release gases from the patient's lungs according to prescribed ventilatory settings. Specifically, expiratory module 108 is associated with and/or controls an expiratory valve for releasing gases from the patient 150.
The ventilator 100 may also include one or more non-invasive sensors 107 communicatively coupled to ventilator 100. Sensors are referred to herein as non-invasive when the sensors are located externally to patient. For example, sensors located in the patient wye 170, in the expiratory module 108, in the inspiratory module 104, or on the patient's finger are all external to the patient and are non-invasive. Sensors are referred to herein as invasive when the sensors are located within the patient or placed inside the patient's body, such as sensors located in an endotracheal tube, near a patient diaphragm, or on an esophageal balloon. While invasive sensors can provide great patient data or measurements, these sensors can often be hard to maintain or keep properly positioned. For example, an esophageal balloon can easily be knocked out of proper position in response to patient movement. Once moved, all of the data recorded from the sensors on the balloon are inaccurate. Further, if condensation or material corrupts the sensor and interferes with accurate measurements, the invasive sensor has to be removed from the body to service and/or clean it. Further, because invasive sensors are located within the patient, they usually require the patient to be sedated or undergo a surgical procedure for implantation or positioning adjustment. As such, invasive sensors are burdensome to the patient, hard to implant, hard to maintain, and hard to keep positioned when compared to non-invasive sensors. The embodiment of
Sensors 107 may communicate with various components of ventilator 100, e.g., pneumatic system 102, other sensors 107, processor 116, condition module 117, drive pressure module 118, treatment module 119, and/or any other suitable components and/or modules. In one embodiment, sensors 107 generate output and send this output to pneumatic system 102, other sensors 107, processor 116, condition module 117, drive pressure module 118, treatment module 119 and any other suitable components and/or modules. Sensors 107 may employ any suitable sensory or derivative technique for monitoring one or more patient parameters or ventilator parameters associated with the ventilation of a patient 150. Sensors 107 may detect changes in patient parameters indicative of patient triggering, for example. Sensors 107 may be placed in any suitable non-invasive location, e.g., within the ventilatory circuitry (excluding an endotracheal tube) or other devices communicatively coupled to the ventilator 100. Further, sensors 107 may be placed within the ventilatory circuitry or within components or modules of ventilator 100. For example, sensors 107 may be coupled to the inspiratory and/or expiratory modules for detecting changes in circuit pressure and/or flow. In other examples, sensors 107 may be affixed to the ventilatory tubing or may be embedded in the tubing itself. Additionally or alternatively, sensors 107 may be affixed or embedded in or near wye-fitting and/or in a non-invasive patient interface. Indeed, any non-invasive sensory device useful for monitoring changes in measurable parameters during ventilatory treatment may be employed in accordance with embodiments described herein. In some aspects, the ventilator 100 does not utilize any invasive sensors or sensory devices.
As should be appreciated, with reference to the Equation of Motion, ventilatory parameters are highly interrelated and, according to embodiments, may be either directly or indirectly monitored. That is, parameters may be directly monitored by one or more sensors 107, as described above, or may be indirectly monitored or estimated/calculated using a model, such as a model derived from the Equation of Motion:
where:
The pneumatic system 102 may include a variety of other components, including mixing modules, valves, tubing, accumulators, filters, etc. Controller 110 is operatively coupled with pneumatic system 102, signal measurement and acquisition systems, and an operator interface 120 that may enable an operator to interact with the ventilator 100 (e.g., change ventilator settings, select operational modes, view monitored parameters, etc.).
In one embodiment, the operator interface 120 of the ventilator 100 includes a display 122 communicatively coupled to ventilator 100. Display 122 provides various input screens, for receiving clinician input, and various display screens, for presenting useful information to the clinician. In one embodiment, the display 122 is configured to include a graphical user interface (GUI). The GUI may be an interactive display, e.g., a touch-sensitive screen or otherwise, and may provide various windows and elements for receiving input and interface command operations. Alternatively, other suitable means of communication with the ventilator 100 may be provided, for instance by a wheel, keyboard, mouse, or other suitable interactive device. Thus, operator interface 120 may accept commands and input through display 122. Display 122 may also provide useful information in the form of various ventilatory data regarding the physical condition of a patient 150. The useful information may be derived by the ventilator 100, based on data collected by a processor 116, and the useful information may be displayed to the clinician in the form of graphs, wave representations, pie graphs, text, or other suitable forms of graphic display. For example, patient data may be displayed on the GUI and/or display 122. Additionally or alternatively, patient data may be communicated to a remote monitoring system coupled via any suitable means to the ventilator 100. In one embodiment, the display 122 may display one or more of an alert, a current drive pressure, a past drive pressure, a drive pressure graph, a recommendation, a drive pressure breach of a threshold, a ventilation parameter change, a current patient effort, a diaphragmatic pressure, a patient respiratory compliance, a patient respiratory resistance, a desired drive pressure range, a trigger sensitivity, a condition, a tidal volume, a flow, a pressure, a target setting, a breath type, a ventilation mode, and/or etc.
Controller 110 is a command and control computing devices and may include memory 112, one or more processors 116, storage 114, and/or other components of the type commonly found in command and control computing devices. Controller 110 may further include a condition module 117, a drive pressure module 118, and/or a treatment module 119 as illustrated in
The memory 112 includes non-transitory, computer-readable storage medium that stores software that is executed by the processor 116 and which controls the operation of the ventilator 100. In an embodiment, the memory 112 includes one or more solid-state storage devices such as flash memory chips. In an alternative embodiment, the memory 112 may be mass storage connected to the processor 116 through a mass storage controller (not shown) and a communications bus (not shown). Although the description of computer-readable media contained herein refers to a solid-state storage, it should be appreciated by those skilled in the art that computer-readable storage media can be any available non-transitory medium that can be accessed by the processor 116. That is, computer-readable storage media includes non-transitory, volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. For example, computer-readable storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.
The inspiratory module 104 receives a selected DP breath type from the controller 110. The DP breath type utilizes a mix of two different breath types (referred to herein as breath subtypes) and smoothly transitions between the two different breath types. The two different breath types utilized within the DP breath type are referred to herein as a base breath subtype and a temporary breath subtype that is triggered upon the detection or occurrence of a condition. The base breath subtype is any spontaneous breath type other than the PA breath type, such as a PS or VS breath type. In some aspects, the base spontaneous breath subtype is predetermined for the DP breath type. In other aspects, the base spontaneous breath subtype is selected by the clinician. Depending upon the base spontaneous breath subtype, other inputs, such as a target setting, may be required from the clinician for operating the DP breath type. A target setting as utilized herein refers to a setting that has to be input for a breath type or breath subtype to function or work. For example, if the base spontaneous breath subtype is a PS breath type, the ventilator 100 may require a target pressure input from the clinician. For example, if the base spontaneous breath subtype is a VS breath type, ventilator 100 may require a target tidal volume input from the clinician. However, other inputs, such as patient interface type, ventilation tubing system size, PEEP levels, and/or etc. may also be required from the clinician for operating the DP breath type depending upon the type of ventilator and/or the base spontaneous breath subtype. The temporary breath subtype is a PA breath type. When the PA breath type is being utilized as the temporary breath subtype during a DP breath type, the PA breath type is referred to herein a PA breath subtype. As such, while the use of different breath types, such as PA, PS, VS are discussed herein, these breath types are not being implemented, but instead are being utilized as breath subtype or portion within the DP breath type. During the DP breath type, the controller 110 sends instructions to the inspiratory module 104 and/or the expiratory module 108 for delivering the base spontaneous breath subtype while the condition module 117 of the controller 110 monitors for a condition.
Initiation and execution of a DP breath type requires detection of an inspiratory trigger. In some aspects, a patient trigger is calculated based on a measured or monitored patient inspiration flow. Any suitable type of triggering detection for determining a patient trigger may be utilized by the ventilator 100, such as nasal detection, diaphragm detection, and/or brain signal detection. Further, the ventilator 100 may detect patient triggering via a pressure-monitoring method, a flow-monitoring method, direct or indirect measurement of neuromuscular signals, or any other suitable method. Sensors 107 suitable for this detection may include any suitable sensing device as known by a person of skill in the art for a ventilator.
According to an embodiment, a pressure-triggering method may involve the ventilator 100 monitoring the circuit pressure, and detecting a slight drop in circuit pressure. The slight drop in circuit pressure may indicate that the patient's respiratory muscles are creating a slight negative pressure that in turn generates a pressure gradient between the patient's lungs and the airway opening in an effort to inspire. The ventilator 100 may interpret the slight drop in circuit pressure as a patient trigger and may consequently initiate inspiration by delivering respiratory gases.
Alternatively, the ventilator 100 may detect a flow-triggered event. Specifically, the ventilator 100 may monitor the circuit flow, as described above. If the ventilator 100 detects a slight drop in the base flow through the exhalation module during exhalation, this may indicate, again, that the patient 150 is attempting to inspire. In this case, the ventilator 100 is detecting a drop in bias flow (or baseline flow) attributable to a slight redirection of gases into the patient's lungs (in response to a slightly negative pressure gradient as discussed above). Bias flow refers to a constant flow existing in the circuit during exhalation that enables the ventilator 100 to detect expiratory flow changes and patient triggering.
In response to a detection of a patient trigger, the controller 110 sends instruction to the inspiratory module 104 to deliver breathing gas to the patient based on the parameters of DP breath type.
During ventilation with the base spontaneous breath subtype, the condition module 117 monitors input to determine the occurrence of one or more conditions. In some aspects, the condition module 117 monitors the measurements from the non-invasive sensors. In other aspects, the condition module 117 monitors other received ventilator data or calculations to determine the occurrence of the condition. In some aspects, the condition may be any event that is indicative of a change in patient respiratory system compliance and/or patient respiratory system resistance, such as a predetermined pressure differential, volume differential, a tidal volume differential, a specific flow waveform shape, a specific volume waveform shape, a specific pressure waveform shape, a predetermined change in pressure, a predetermined change in flow, a predetermined change in tidal volume and/or etc. For example, the condition may be a change in non-invasively monitored flow, pressure, and/or of volume of at least 25%. In other aspects, the condition is an expiration of a set period or predetermined number of breaths, since the last PA breath subtype switch or since the start of the last PA breath subtype. For example, the condition may be the expiration of 30, 60, 90, or 120 minutes or the occurrence of 400, 300, or 200 breaths since the last temporary switch into the PA breath subtype or the start of the last PA breath subtype. In other examples, the condition module 117 monitors for the following condition to occur: 1) expiration of 1 hour since the last PA breath subtype; or 2) a 25% change in one of non-invasively measured pressure, flow, or tidal volume during the base spontaneous breath subtype. If the DP breath type was just initialized, the conditions discussed above may be monitored from the start of ventilation or the start of the DP breath type instead of since the last temporary switch into the PA breath subtype or the start of the last PA breath subtype. If the condition module 117 detects a condition, the condition module 117 of the controller 110 determines a percent support setting and sends instructions to the pressure generating system 102 to provide a short temporary switch into a PA breath subtype utilizing the determined percent support setting.
In some aspects, the condition module 117 determines a percent support setting by utilizing a predetermined or preset percent support setting. In other aspects, the condition module 117 determines a percent support setting based on a target setting for the base spontaneous breath subtype. For example, if the target pressure for the PS breath type is 10 cm H2O, then the condition module 117 will determine a percent supporting setting to achieve approximately the same pressure level. In another example, if the target volume for a VS breath type is 400 ml, then the condition module 117 will determine a percent support setting to achieve approximately the same volume level. In other aspects, the percent setting is determined by the condition module 117 based on outputs from the non-invasive sensor. For example, if inspiratory pressure measurement is 9.8 cm H2O from inspiratory pressure sensor, then the condition module 117 will determine a percent support setting to achieve approximately the same pressure level. In further aspects, the condition module 117 may utilize additional ventilator parameters or inputs to the target setting and/or the outputs from the non-invasive sensor to determine a percent support setting, such as mask type, patient circuit diameter, and etc.
The PA breath subtype is an effort-based breath type that dynamically determines the amount of ventilatory support to deliver based on a continuous estimation/calculation of patient effort and respiratory characteristics. Patient effort as discussed in the PA breath type is not a muscle pressure (Pmus). In contrast, the patient effort during the PA breath type refers to resistive and elastic pressure drops. The resulting dynamically generated profile is computed in real- or quasi-real-time and used by the ventilator as a set of points for control of applicable parameters.
Initiation and execution of an effort-based breath type, such as PA breath type or PA breath subtype, has two operation prerequisites: (1) detection of an inspiratory trigger; and (2) detection and measurement of an appreciable amount of patient respiratory effort to constitute a sufficient reference above a ventilator's control signal error deadband. Advanced, sophisticated triggering technologies detect initiation of inspiratory efforts efficiently. Patient effort is calculated based on measured patient inspiration flow. Patient effort is utilized to calculate a target airway pressure for the inspiration. The delivered airway pressure as used herein is the airway pressure measured at the ventilator-patient interface. The target airway pressure is resistive pressure (Presistive) plus elastic pressure (Pelastic) plus positive end exhalation pressure (PEEP), where Presistive and Pelastic are scaled by the percent support setting.
A PA breath type or subtype refers to a type of ventilation in which the ventilator acts as an inspiratory amplifier that provides pressure support based on the patient's effort. Usually, the degree of amplification (the “percent support setting”) during a PA breath type is set by an operator or clinician, for example as a percentage based on the patient's effort. However, during the DP breath type, the condition module 117 determines the percent support setting provided during the PA breath subtype.
In one implementation of a PA breath subtype, the ventilator may continuously monitor the patient's instantaneous inspiratory flow and instantaneous net lung volume, which are indicators of the patient's inspiratory effort. These signals, together with ongoing estimates of the patient's lung compliance and lung/airway resistance and the Equation of Motion
allow the ventilator to estimate/calculate a patient effort and derive therefrom a target airway pressure to provide the support that assists the patient's inspiratory muscles to the degree selected by the operator as the percent support setting. In this equation, the patient effort is inspiratory muscle pressure and is negative. The percent support setting as determined by the condition module 117 divides the total work of breathing calculated between the patient and the ventilator.
Unlike other spontaneous breath subtypes, the PA breath subtype can calculate compliance and resistance without having to utilize an invasive sensor. As such, the PA breath subtype is a spontaneous breath type that is able to calculate dynamic respiratory system compliance and respiratory system resistance. In other spontaneous breath subtypes, an invasive sensor located in an esophageal balloon is needed. However, as discussed above, an esophageal balloon can easily become dislodged if the patient moves affecting sensor accuracy, is highly invasive to implant, and/or is uncomfortable for a spontaneously breathing patient. Due to the disruptive nature of the esophageal balloon, the esophageal balloon is rarely utilized during a spontaneous breath subtype.
Due to the unique configuration of the PA breath subtype, the PA breath subtype is capable of determining a patient respiratory system compliance and/or resistance in an end exhalation hold of 300 ms or 0.3 seconds, which will usually go unnoticed by a spontaneously breathing patient. In a typical PA breath type, this 300 ms end expiratory hold is provided intermittently at random. During the DP breath type, the 300 ms end expiratory hold is provided in the first, second, third, or fourth breath of the temporary PA breath subtype portion of the DP breath type. Any additional 300 ms holds are provided after a predetermined number of breaths or after a set time period during the PA breath subtype. In other words, the PA breath subtype does not provide the 300 ms end expiratory hold at random but instead at predetermined intervals. As such, the DP breath type is able to calculate patient respiratory compliance and patient respiratory system resistance without having to utilize an invasive sensor measurement. The DP breath type utilizes the following equation to determine patient respiratory system compliance:
CRAW=(VLUNG/Pressure_delta).
The DP breath type utilizes the following equation to determine patient respiratory system resistance:
RRAW=RRAW+ET−RET,
where:
During the PA breath subtype, the drive pressure module 118 calculates patient respiratory resistance and/or compliance based on non-invasive sensor output. The condition module 117 provides the PA breath subtype for at least one breath. In some aspects, the condition module 117 provides the PA breath subtype for at least three breaths. In some aspects, the condition module 117 provides the PA breath subtype until a predetermined number of patient respiratory compliance and/or resistance measurements have been made by the ventilator 100. In some aspects, the condition module 117 provides the PA breath subtype until at least two or three patient respiratory compliance and/or resistance measurements have been made by the ventilator 100. In other aspects, the condition module 117 provides the PA breath subtype until at least one, two, three, four, or five patient respiratory compliance and/or resistance measurements have been made by the ventilator 100. The predetermined number of patient respiratory compliance and/or resistance measurements can be completed in 1 breath, 2 breaths, 3 breaths, 5 breaths, 7 breaths, 8 breaths, 10 breaths, 12 breaths, 15 breaths, 20 breaths, 25 breaths or 30 breaths. In other aspects, a predetermined number of patient respiratory compliance and/or resistance measurements can be completed by the condition module 117 in 4 to 12 breaths.
After the temporary PA breath subtype portion has been completed (e.g., the predetermined number of patient respiratory compliance and/or resistance measurements have been made by the ventilator 100), the condition module 117 switches the ventilation of the patient back to the previously utilized base spontaneous breath subtype.
After the return to the previously utilized base spontaneous breath subtype, the drive pressure module 118 monitors respiratory data of the patient, such as the non-invasive sensor output. In some aspects, the drive pressure module 118 estimates a dynamic drive pressure waveform of the patient during the spontaneous breath subtype based on the respiratory data and the respiratory system compliance and/or compliance. Next, the drive pressure module 118 calculates a drive pressure of the patient during the spontaneous breath subtype utilizing the respiratory system compliance and/or the respiratory system resistance, and the respiratory data. The drive pressure calculated by the drive pressure module 118 can be dynamic and/or static.
In some aspects, equations (1) and (3) can be combined to get the following drive pressure equation:
Pdrive=RrsQLUNG+1/Crs∫QLUNGdt, EQ #4.
If equation #4 above is evaluated at the end of the inspiratory phase, and QLUNG is assumed to be zero (e.g., at the transition point between inspiration and exhalation), the integral of QLUNG is the tidal volume, Vt. Based on these assumptions, a static drive pressure is calculated by the drive pressure module 118 of control 110 by utilizing the following equation:
Pdrive=1/CrsVt=Vt/Crs, EQ #5.
In further aspects, a dynamic drive pressure is calculated by the drive pressure module 118 of control 110 by utilizing the following equation:
Pmus=Pwye−Pend exp−(RTUBE+Rrs)QLUNG−1/Crs∫QLUNGdt, EQ #6
where:
The drive pressure module 118 measures the drive pressure repeatedly throughout a breath. In some aspects, the drive pressure module 118 measures drive pressure every servo cycle, such as every 2 milliseconds, 5 millisecond, or 10 milliseconds. The servo cycle is the amount of time required by the processor 116 or controller 110 of the ventilator 100 to perform a calculation in response to a received measured pressure or flow. In some aspects, the sensors 107 send output or measurements every servo cycle.
The drive pressure module 118 communicates the drive pressure to other modules, such as the treatment module 119 and condition module 117, controller 110, the pneumatic system 102, and/or the display 122.
The treatment module 119 performs an action in response to receiving the drive pressure. The action may include generating a display of the drive pressure, evaluating the drive pressure, generating an alert based on the drive pressure, providing a recommendation based on the drive pressure, and/or changing ventilator parameters based on the drive pressure. For example, the treatment module 119 may send instruction to the display to display 122 a determined drive pressure. In other aspects, the treatment module may generate a graph of the drive pressure, such as a waveform or bar graph of the drive pressure. For instance, the treatment module 119 may generate a graph or waveform of drive pressure versus time.
In some aspects, the treatment module 119 evaluates the drive pressure by comparing the drive pressure to a threshold. If the treatment module 119 determines that the drive pressure breaches the threshold, the treatment module 119 performs an action in response to this determination. As discussed above, the action may include a display of the drive pressure and/or the breach, generating an alert based on the breach, providing a recommendation based on the breach, and/or changing ventilator parameters based on the breach. If the treatment module 119 determines that the drive pressure does not breach the threshold, the treatment module 119 continues to evaluate the received drive pressures from the drive pressure module 118. In further aspects, if the treatment module 119 determines that the drive pressure does not breach the threshold, the treatment module 119 may also provide a recommendation to the clinician based on the drive pressure meeting the threshold.
The drive pressure threshold may be a drive pressure of 15 cm of H2O or less, a drive pressure of 10 cm of H2O or less, or a drive pressure of 5 cm of H2O to 15 cm of H2O. This list is exemplary and is not meant to be limiting. Any suitable drive pressure range for optimal patient ventilation may be utilized by the treatment module 119, controller 110, and/or ventilator 100. The threshold may be predetermined, selected by the ventilator based on other patient information, or selected or input by a clinician.
In response to a drive pressure or a breach of a threshold by the drive pressure, the treatment module 119 may generate an alert. The alert may be a visual, audio, or any other type of sensory notification that notifies a clinician that the patient's drive pressure has breached a predetermined threshold. In response to a drive pressure meeting a threshold, or a breach of a threshold, the treatment module 119 may provide a recommendation. The recommendation may be changes to ventilator parameters, such as target settings, other ventilator settings, changes in breath type, changes in breath subtype, and/or changes in ventilator mode. For example, if the drive pressure exceeds a threshold, such as is greater than 15 cm of H2O, the treatment module 119 may recommend a decrease in tidal volume, a decrease in flow, a decrease in pressure, an increase in PEEP, and/or a decrease in PEEP to try and bring the drive pressure within the desired levels. For example, if the drive pressure exceeds a threshold, such as is less than 2 cm of H2O, the treatment module 119 may recommend an increase in tidal volume, an increase in flow, an increase in pressure, and/or a increase in PEEP because such changes may be beneficial for the patient and have no or very low risk of causing lung injury. Alternatively, the treatment module 119 may automatically modify the ventilation parameters listed above based on drive pressure or the result of a comparison of drive pressure to a threshold. The ventilation parameter may include a target setting, oxygen percentage, rise time, trigger sensitivity, peak flow rate, peak inspiratory pressure, tidal volume, and/or PEEP. In some aspects, the treatment module 119 may adjust ventilation parameters to maintain the drive pressure within a target range, such as the threshold. An automatic change in ventilation parameter may be sent by treatment module 119 to the display 122 or other modules to notify the clinician of the change.
As discussed above, method 200 illustrates a method for drive pressure ventilation of a patient with a ventilator. Accordingly, method 200 ventilates a patient with a DP breath type. Method 200 provides a spontaneous breath type that allows for the calculation of dynamic drive pressure and does not require invasive monitoring. To accomplish this goal, the method 200 briefly interrupts and smoothly transitions from a base spontaneous breath subtype, other than a PA breath subtype, into the PA breath subtype in response to a condition and then smoothly transitions back into the base spontaneous breath subtype when a patient respiratory system compliance and/or resistance has been calculated. Method 200 accomplishes the smooth transition by determining a percent support setting for the PA breath subtype. As such, method 200 may adjust ventilator parameters and/or perform other actions based on a monitored dynamic drive pressure.
As illustrated, method 200 includes a spontaneous ventilation operation 201. During the spontaneous ventilation operation 201, the ventilator ventilates the patient utilizing a spontaneous breath subtype. The spontaneous breath subtype is any spontaneous breath type other than a PA breath type.
As illustrated, method 200 includes a spontaneous collection operation 202. During the spontaneous collection operation 202, the ventilator collects and analyzes non-invasive sensor output during the spontaneous breath subtype. In other words, during spontaneous collection operation 202, the ventilator non-invasively monitors respiratory data of the patient. Non-invasive sensor output or respiratory data refers to the output or measurements generated by non-invasive sensors. As such, in some aspects, during spontaneous collection operation 202, the ventilator collects flow rate, tidal volume, and/or pressure measurements from non-invasive sensors located in the ventilator 100 and/or ventilation tubing system 130. In some aspects during spontaneous collection operation 202, the ventilator 100 estimates a pressure or flow at the wye 170 based on an analysis of the non-invasive sensor output. In other aspects, other parameters are derived by the ventilator 100 during spontaneous collection operation 202 based on analysis of the of the non-invasive sensor output.
During operations 201 and 202, the ventilator analyzes the non-invasive sensor output or respiratory data to detect a patient effort. During operations 201 and 202, the ventilator delivers inspiratory gas to the patient with the ventilator in response to a detected patient effort. The inspiratory gas is delivered according to the spontaneous breath subtype.
At DP operation 204, a drive pressure of the patient is calculated or estimated during the spontaneous breath subtype utilizing a calculated or estimated compliance measurement and/or resistance measurement determined during the last PA breath subtype and the output from the sensors during the spontaneous breath subtype. The calculation and/or estimation of the compliance measurement and/or resistance measurement is discussed in more detail below and performed during operations 212 and 214. In some aspects, the ventilator during DP operation 204 may calculate or estimate the muscle pressure of the patient during the spontaneous breath subtype based on the compliance measurement and/or resistance measurement. During DP operation 204, the ventilator calculates or estimates a dynamic drive pressure. For example, as discussed above, the ventilator during DP operation 204 may calculate or estimate the dynamic drive pressure by utilizing Equation #6 listed above. In some aspects, the ventilator during DP operation 204 is also capable of calculating or estimating static drive pressure by utilizing Equation #5 listed above.
Method 200 also includes a determination operation 206. At determination operation 206, the ventilator determines if a condition occurred. In some aspects, the ventilator during determination operation 206 monitors the non-invasive sensor output to determine if the condition has occurred. In other aspects, the ventilator during determination operation 206 monitors the number of delivered breath or the passage of time to determine if a condition has occurred. If the ventilator determines that the condition occurred at determination operation 206, the ventilator selects to perform support setting operation 208. If the ventilator determines that the condition did not occur during determination operation 206, the ventilator selects to perform action operation 220. The condition may be the expiration of a predetermined amount of time, the delivery of a predetermined number of breaths, and/or a change in one or more monitored parameters that indicates that a change in patient respiratory system compliance and/or resistance has occurred. In some aspects, the condition is a change in monitored pressure, monitored tidal volume, or monitored flow of at least 25%. In other aspects, the condition is expiration of 1 hour from the last use of the PA breath subtype without a change in monitored pressure, monitored tidal volume, or monitored flow of at least 25% since the last PA breath subtype. In further aspects, the condition is the delivery of 200 breaths from the last use of the PA breath subtype without a change in monitored pressure, monitored tidal volume, or monitored flow of at least 25% since the last PA breath subtype.
As illustrated, method 200 includes support setting operation 208. At support setting operation 208 the ventilator determines a percent support setting for a PA breath subtype. In some aspects, at support setting operation 208, the ventilator utilizes a predetermined support setting. In other aspects, at support setting operation 208 the ventilator selects a support setting based on at least one of a target setting from the spontaneous breath subtype or the non-invasively measured respiratory data collected during the spontaneous breath subtype. In further aspects, the ventilator during support setting operation 208 determines other settings for the PA breath subtype. For example, a PEEP level for the PA breath subtype may be set based on a PEEP level utilized in the spontaneous breath subtype.
Next, switch operation 210 is performed by the ventilator. At switch operation 210 the ventilator automatically and temporarily switches from the spontaneous breath subtype into the PA breath subtype for at least one breath utilizing the determined or calculated percent support setting. In some aspects, at switch operation 210 the ventilator automatically and temporarily switches from the spontaneous breath subtype into the PA breath subtype for at least three breaths utilizing the determined or calculated percent support setting. The PA breath subtype is performed for at least one breath, at least two breaths, or at least three breaths. In some aspects, the PA breath subtype is delivered by the ventilator during switch operation 210 until at least one patient respiratory system compliance and/or resistance measurement has been obtained. In some aspects, the PA breath subtype is delivered by the ventilator during switch operation 210 until at least two different patient respiratory system compliance and/or resistance measurements have been obtained. In some aspects, the PA breath subtype is delivered by the ventilator during the switch operation 210 until 5, 4, 3, or 2 patient respiratory system compliance and/or resistance measurements have been obtained. As such, the ventilator may deliver ventilation utilizing the PA breath subtype for at most 4 breaths, 8 breaths, 10 breaths, 12 breaths, 15 breaths, 20 breaths, 30 breaths, 40 breaths, or 50 breaths.
Accordingly, method 200 also includes PA collect and analyze operation 212. The ventilator during the PA collect and analyze operation 212, collects and analyzes the non-invasively measured respiratory data during the PA breath subtype. Next, a compliance operation 214 is performed by the ventilator. During the compliance operation 214, the ventilator calculates or estimates the patient respiratory system compliance and/or resistance based on the non-invasively measured respiratory data taken during the PA breath subtype during the PA collect and analyze operation 212. If multiple patient respiratory system compliance and/or resistance measurements are taken by the ventilator during compliance operation 214, the ventilator determines a compliance measurement and/or a resistance measurement based on these multiple measurements. For example, if multiple patient respiratory system compliance measurements are taken, the ventilator may average the measurements or select the middle or last obtained measurement to be utilized as the PA breath subtype calculated compliance measurement for use during DP operation 204.
Method 200 also includes a return operation 216. At return operation 216 the ventilator switches from the PA breath subtype back to the previously utilized spontaneous breath subtype. As discussed above, the ventilator returns the spontaneous breath subtype after a predetermined number of patient respiratory system compliance or resistance measurements have been obtained during the PA breath subtype, after a predetermined number of breaths, or after a predetermined amount of time. Next, spontaneous ventilation operation 201 is performed again.
Method 200 also includes action operation 220. At action operation 220, the ventilator performs an action based on drive pressure. The action may include generating a display of the drive pressure, evaluating the drive pressure, generating an alert based on the drive pressure, providing a recommendation based on the drive pressure, and/or changing ventilator parameters based on the drive pressure. In some aspects, the ventilator may generate a graph of the drive pressure for display during action operation 220, such as a waveform or bar graph of the drive pressure. In some aspects, the ventilator evaluates the drive pressure by comparing the drive pressure to threshold during action operation 220. If the ventilator determines that the drive pressure breaches the threshold during action operation 220, ventilator performs an action in response to this determination. As discussed above the action may include a display of the drive pressure and/or the breach, generating an alert based on the breach, providing a recommendation based on the breach, and/or changing ventilator parameters based on the breach. If the ventilator determines that the drive pressure does not breach the threshold during action operation 220, the ventilator continues to evaluate the calculated or estimated drive pressure. In further aspects, if the ventilator during action operation 220 determines that the drive pressure does not breach the threshold, the ventilator may also provide a recommendation to the clinician based on the drive pressure meeting the threshold.
In response to a drive pressure or a breach of a threshold by the drive pressure, the ventilator may generate an alert during action operation 220. In response to a drive pressure meeting a threshold, or a breach of a threshold, the ventilator may provide a recommendation. Alternatively, the ventilator during action operation 220 may automatically modify the ventilation parameters listed above based on drive pressure or the result of a comparison of drive pressure to a threshold.
In some embodiments, a microprocessor-based ventilator that accesses a computer-readable medium having computer-executable instructions for performing the method of ventilating a patient with a medical ventilator is disclosed. This method includes repeatedly performing the steps disclosed in method 200 above and/or as illustrated in
In another example,
Given the structure of the R-M Plane, it's now possible to indicate how the patient's status can be monitored and identified, either by a software algorithm or by using boundary conditions set by the clinician. If the clinician were interested in maintaining lung-protective ventilation, upper and lower, horizontal boundaries would alert when VT/kg were too low or too high. Ventilator notifications could identify key changes and suggest corrections. A patient with ARDS might be decompensating with ever worsening compliance. Boundary violations could notify the clinician of this occurring.
In another aspect, a feature of the recurring points could be utilized with
In some embodiments, the ventilator system includes: means for ventilating a patient with the ventilator in a spontaneous breath subtype; means for non-invasively monitoring respiratory data of the patient with at least one of a pressure sensor and a flow sensor operatively coupled to at least one of a patient circuit or a pressure generating system; means for analyzing the respiratory data to detect a patient effort; means for delivering inspiratory gas to the patient with the ventilator in response to a detected patient effort; means for determining an occurrence of a condition by the ventilator based on information gathered by the ventilator; in response to the condition, means for determining a percent support setting for a PA breath subtype based on a target setting or the respiratory data from the spontaneous breath subtype; means for automatically and temporarily switching from the spontaneous breath subtype into the PA breath subtype for at least one breath in response to calculating the percent support setting; means for estimating a respiratory system compliance and/or respiratory system resistance of the patient during the PA breath subtype based on the respiratory data; means for returning to the spontaneous breath subtype after the at least three breaths; means for calculating a drive pressure of the patient during the spontaneous breath subtype utilizing the respiratory system compliance and/or the respiratory system resistance and the respiratory data; and means for performing an action based on the drive pressure. The spontaneous breath subtype does not include a proportional assist (PA) breath type.
Those skilled in the art will recognize that the methods and systems of the present disclosure may be implemented in many manners and as such are not to be limited by the foregoing exemplary embodiments and examples. In other words, functional elements being performed by a single or multiple components, in various combinations of hardware and software or firmware, and individual functions, can be distributed among software applications at either the client or server level or both. In this regard, any number of the features of the different embodiments described herein may be combined into single or multiple embodiments, and alternate embodiments having fewer than or more than all of the features herein described are possible. Functionality may also be, in whole or in part, distributed among multiple components, in manners now known or to become known. Thus, myriad software/hardware/firmware combinations are possible in achieving the functions, features, interfaces and preferences described herein. Moreover, the scope of the present disclosure covers conventionally known manners for carrying out the described features and functions and interfaces, and those variations and modifications that may be made to the hardware or software firmware components described herein as would be understood by those skilled in the art now and hereafter.
Numerous other changes may be made which will readily suggest themselves to those skilled in the art and which are encompassed in the spirit of the disclosure and as defined in the appended claims. While various embodiments have been described for purposes of this disclosure, various changes and modifications may be made which are well within the scope of the present invention. Numerous other changes may be made which will readily suggest themselves to those skilled in the art and which are encompassed in the spirit of the disclosure and as defined in the appended claims.
This application is a continuation of U.S. application Ser. No. 16/174,483, filed Oct. 30, 2018, which claims priority to U.S. Provisional Application Ser. No. 62/586,077, filed Nov. 14, 2017, and claims priority to U.S. Provisional Application Ser. No. 62/725,490, filed Aug. 31, 2018, the complete disclosures of which are hereby incorporated herein by reference in their entireties. To the extent appropriate, priority is claimed to each of the above applications.
Number | Name | Date | Kind |
---|---|---|---|
3669108 | Sundblom et al. | Jun 1972 | A |
4127123 | Bird | Nov 1978 | A |
4141356 | Smargiassi | Feb 1979 | A |
4448192 | Stawitcke et al. | May 1984 | A |
4527557 | DeVries et al. | Jul 1985 | A |
4637385 | Rusz | Jan 1987 | A |
4655213 | Rapoport et al. | Apr 1987 | A |
4752089 | Carter | Jun 1988 | A |
4773411 | Downs | Sep 1988 | A |
4805612 | Jensen | Feb 1989 | A |
4805613 | Bird | Feb 1989 | A |
4821709 | Jensen | Apr 1989 | A |
4921642 | LaTorraca | May 1990 | A |
4954799 | Kumar | Sep 1990 | A |
4986268 | Tehrani | Jan 1991 | A |
5044362 | Younes | Sep 1991 | A |
5057822 | Hoffman | Oct 1991 | A |
5072737 | Goulding | Dec 1991 | A |
5107830 | Younes | Apr 1992 | A |
5148802 | Sanders et al. | Sep 1992 | A |
5150291 | Cummings et al. | Sep 1992 | A |
5161525 | Kimm et al. | Nov 1992 | A |
5165398 | Bird | Nov 1992 | A |
5237987 | Anderson et al. | Aug 1993 | A |
5239995 | Estes et al. | Aug 1993 | A |
5271389 | Isaza et al. | Dec 1993 | A |
5279549 | Ranford | Jan 1994 | A |
5299568 | Forare et al. | Apr 1994 | A |
5301921 | Kumar | Apr 1994 | A |
5303698 | Tobia et al. | Apr 1994 | A |
5307795 | Whitwam et al. | May 1994 | A |
5313937 | Zdrojkowski | May 1994 | A |
5319540 | Isaza et al. | Jun 1994 | A |
5325861 | Goulding | Jul 1994 | A |
5333606 | Schneider et al. | Aug 1994 | A |
5339807 | Carter | Aug 1994 | A |
5343857 | Schneider et al. | Sep 1994 | A |
5351522 | Lura | Oct 1994 | A |
5353788 | Miles | Oct 1994 | A |
5357946 | Kee et al. | Oct 1994 | A |
5368019 | LaTorraca | Nov 1994 | A |
5383449 | Forare et al. | Jan 1995 | A |
5385142 | Brady et al. | Jan 1995 | A |
5390666 | Kimm et al. | Feb 1995 | A |
5398676 | Press et al. | Mar 1995 | A |
5401135 | Stoen et al. | Mar 1995 | A |
5402796 | Packer et al. | Apr 1995 | A |
5407174 | Kumar | Apr 1995 | A |
5413110 | Cummings et al. | May 1995 | A |
5433193 | Sanders et al. | Jul 1995 | A |
5438980 | Phillips | Aug 1995 | A |
5443075 | Holscher | Aug 1995 | A |
5452714 | Anderson et al. | Sep 1995 | A |
5492113 | Estes et al. | Feb 1996 | A |
5507282 | Younes | Apr 1996 | A |
5513631 | McWilliams | May 1996 | A |
5517983 | Deighan et al. | May 1996 | A |
5520071 | Jones | May 1996 | A |
5524615 | Power | Jun 1996 | A |
RE35295 | Estes et al. | Jul 1996 | E |
5531221 | Power | Jul 1996 | A |
5535738 | Estes et al. | Jul 1996 | A |
5540222 | Younes | Jul 1996 | A |
5542415 | Brody | Aug 1996 | A |
5544674 | Kelly | Aug 1996 | A |
5549106 | Gruenke et al. | Aug 1996 | A |
5551418 | Estes et al. | Sep 1996 | A |
5572993 | Kurome et al. | Nov 1996 | A |
5582163 | Bonassa | Dec 1996 | A |
5596984 | O'Mahony et al. | Jan 1997 | A |
5598838 | Servidio et al. | Feb 1997 | A |
5630411 | Holscher | May 1997 | A |
5632269 | Zdrojkowski | May 1997 | A |
5632270 | O'Mahony et al. | May 1997 | A |
5645048 | Brodsky et al. | Jul 1997 | A |
5660171 | Kimm et al. | Aug 1997 | A |
5664560 | Merrick et al. | Sep 1997 | A |
5664562 | Bourdon | Sep 1997 | A |
5671767 | Kelly | Sep 1997 | A |
5672041 | Ringdahl et al. | Sep 1997 | A |
5673689 | Power | Oct 1997 | A |
5692497 | Schnitzer et al. | Dec 1997 | A |
5694923 | Hete et al. | Dec 1997 | A |
5704345 | Berthon-Jones | Jan 1998 | A |
5715812 | Deighan et al. | Feb 1998 | A |
5720278 | Lachmann et al. | Feb 1998 | A |
5735267 | Tobia | Apr 1998 | A |
5743253 | Castor et al. | Apr 1998 | A |
5752506 | Richardson | May 1998 | A |
5762480 | Adahan | Jun 1998 | A |
5765558 | Psaros et al. | Jun 1998 | A |
5771884 | Yarnall et al. | Jun 1998 | A |
5782233 | Niemi et al. | Jul 1998 | A |
5791339 | Winter | Aug 1998 | A |
5794615 | Estes | Aug 1998 | A |
5794986 | Gansel et al. | Aug 1998 | A |
5803065 | Zdrojkowski et al. | Sep 1998 | A |
5813399 | Isaza et al. | Sep 1998 | A |
5823187 | Estes et al. | Oct 1998 | A |
5826575 | Lall | Oct 1998 | A |
5829441 | Kidd et al. | Nov 1998 | A |
5864938 | Gansel et al. | Feb 1999 | A |
5865168 | Isaza | Feb 1999 | A |
5868133 | DeVries et al. | Feb 1999 | A |
5878744 | Pfeiffer | Mar 1999 | A |
5881717 | Isaza | Mar 1999 | A |
5881723 | Wallace et al. | Mar 1999 | A |
5884622 | Younes | Mar 1999 | A |
5884623 | Winter | Mar 1999 | A |
5901704 | Estes et al. | May 1999 | A |
5904141 | Estes et al. | May 1999 | A |
5909731 | O'Mahony et al. | Jun 1999 | A |
5915379 | Wallace et al. | Jun 1999 | A |
5915380 | Wallace et al. | Jun 1999 | A |
5915382 | Power | Jun 1999 | A |
5918597 | Jones et al. | Jul 1999 | A |
5921238 | Bourdon | Jul 1999 | A |
5927274 | Servidio et al. | Jul 1999 | A |
5934274 | Merrick et al. | Aug 1999 | A |
5957130 | Krahbichler et al. | Sep 1999 | A |
5970975 | Estes et al. | Oct 1999 | A |
5975081 | Hood et al. | Nov 1999 | A |
6024089 | Wallace et al. | Feb 2000 | A |
6029664 | Zdrojkowski et al. | Feb 2000 | A |
6029665 | Berthon-Jones | Feb 2000 | A |
6041777 | Faithfull et al. | Mar 2000 | A |
6041780 | Richard et al. | Mar 2000 | A |
6047860 | Sanders | Apr 2000 | A |
6076523 | Jones et al. | Jun 2000 | A |
6105575 | Estes et al. | Aug 2000 | A |
6116240 | Merrick et al. | Sep 2000 | A |
6116464 | Sanders | Sep 2000 | A |
6123073 | Schlawin et al. | Sep 2000 | A |
6135105 | Lampotang et al. | Oct 2000 | A |
6135106 | Dirks et al. | Oct 2000 | A |
6142150 | O'Mahony et al. | Nov 2000 | A |
6161539 | Winter | Dec 2000 | A |
6196222 | Heinonen et al. | Mar 2001 | B1 |
6209540 | Sugiura et al. | Apr 2001 | B1 |
6213119 | Brydon et al. | Apr 2001 | B1 |
6220245 | Takabayashi et al. | Apr 2001 | B1 |
6240919 | MacDonald et al. | Jun 2001 | B1 |
6253765 | Hognelid et al. | Jul 2001 | B1 |
6257234 | Sun | Jul 2001 | B1 |
6269812 | Wallace et al. | Aug 2001 | B1 |
6273444 | Power | Aug 2001 | B1 |
6283119 | Bourdon | Sep 2001 | B1 |
6302105 | Wickham et al. | Oct 2001 | B1 |
6302851 | Gedeon | Oct 2001 | B1 |
6305372 | Servidio | Oct 2001 | B1 |
6305373 | Wallace et al. | Oct 2001 | B1 |
6305374 | Zdrojkowski et al. | Oct 2001 | B1 |
6321748 | O'Mahoney | Nov 2001 | B1 |
6325785 | Babkes et al. | Dec 2001 | B1 |
6345619 | Finn | Feb 2002 | B1 |
6357438 | Hansen | Mar 2002 | B1 |
6360745 | Wallace et al. | Mar 2002 | B1 |
6369838 | Wallace et al. | Apr 2002 | B1 |
6371113 | Tobia et al. | Apr 2002 | B1 |
6412483 | Jones et al. | Jul 2002 | B1 |
6427689 | Estes et al. | Aug 2002 | B1 |
6431169 | do Val et al. | Aug 2002 | B1 |
6439229 | Du et al. | Aug 2002 | B1 |
6467477 | Frank et al. | Oct 2002 | B1 |
6467478 | Merrick et al. | Oct 2002 | B1 |
6484719 | Berthon-Jones | Nov 2002 | B1 |
6526970 | DeVries et al. | Mar 2003 | B2 |
6532956 | Hill | Mar 2003 | B2 |
6532957 | Berthon-Jones | Mar 2003 | B2 |
6539940 | Zdrojkowski et al. | Apr 2003 | B2 |
6546930 | Emerson et al. | Apr 2003 | B1 |
6553991 | Isaza | Apr 2003 | B1 |
6553992 | Berthon-Jones et al. | Apr 2003 | B1 |
6557553 | Borrello | May 2003 | B1 |
6557554 | Sugiura | May 2003 | B1 |
6571795 | Bourdon | Jun 2003 | B2 |
6575163 | Berthon-Jones | Jun 2003 | B1 |
6578575 | Jonson | Jun 2003 | B1 |
6581597 | Sugiura | Jun 2003 | B2 |
6588422 | Berthon-Jones et al. | Jul 2003 | B1 |
6595213 | Bennarsten | Jul 2003 | B2 |
6609517 | Estes et al. | Aug 2003 | B1 |
6612995 | Leonhardt et al. | Sep 2003 | B2 |
6622726 | Du | Sep 2003 | B1 |
6626175 | Jafari et al. | Sep 2003 | B2 |
6629527 | Estes et al. | Oct 2003 | B1 |
6629934 | Mault et al. | Oct 2003 | B2 |
6631716 | Robinson et al. | Oct 2003 | B1 |
6640806 | Yurko | Nov 2003 | B2 |
6644310 | Delache et al. | Nov 2003 | B1 |
6651657 | Manigel et al. | Nov 2003 | B1 |
6668824 | Isaza et al. | Dec 2003 | B1 |
6672300 | Grant | Jan 2004 | B1 |
6675797 | Berthon-Jones | Jan 2004 | B1 |
6675801 | Wallace et al. | Jan 2004 | B2 |
6679258 | Strom | Jan 2004 | B1 |
6688307 | Berthon-Jones | Feb 2004 | B2 |
6708691 | Hayek | Mar 2004 | B1 |
6718974 | Moberg | Apr 2004 | B1 |
6725447 | Gilman et al. | Apr 2004 | B1 |
6739337 | Isaza | May 2004 | B2 |
6755193 | Berthon-Jones et al. | Jun 2004 | B2 |
6758217 | Younes | Jul 2004 | B1 |
6761167 | Nadjafizadeh et al. | Jul 2004 | B1 |
6761168 | Nadjafizadeh et al. | Jul 2004 | B1 |
6796305 | Banner et al. | Sep 2004 | B1 |
6810876 | Berthon-Jones | Nov 2004 | B2 |
6814074 | Nadjafizadeh et al. | Nov 2004 | B1 |
6820613 | Wenkebach | Nov 2004 | B2 |
6823866 | Jafari et al. | Nov 2004 | B2 |
6837242 | Younes | Jan 2005 | B2 |
6837244 | Yagi et al. | Jan 2005 | B2 |
6854462 | Berthon-Jones et al. | Feb 2005 | B2 |
6860858 | Green et al. | Mar 2005 | B2 |
6866040 | Bourdon | Mar 2005 | B1 |
6877511 | DeVries et al. | Apr 2005 | B2 |
6899103 | Hood et al. | May 2005 | B1 |
6910480 | Berthon-Jones | Jun 2005 | B1 |
6915803 | Berthon-Jones et al. | Jul 2005 | B2 |
6920878 | Sinderby et al. | Jul 2005 | B2 |
6932084 | Estes et al. | Aug 2005 | B2 |
6948497 | Zdrojkowski et al. | Sep 2005 | B2 |
6960854 | Nadjafizadeh et al. | Nov 2005 | B2 |
6976487 | Melker et al. | Dec 2005 | B1 |
6997881 | Green et al. | Feb 2006 | B2 |
7000610 | Bennarsten et al. | Feb 2006 | B2 |
7000612 | Jafari et al. | Feb 2006 | B2 |
7013892 | Estes et al. | Mar 2006 | B2 |
7021310 | Sinderby et al. | Apr 2006 | B1 |
7032589 | Kerechanin, II et al. | Apr 2006 | B2 |
7036504 | Wallace et al. | May 2006 | B2 |
7040321 | Göbel | May 2006 | B2 |
7055522 | Berthon-Jones | Jun 2006 | B2 |
7066173 | Banner et al. | Jun 2006 | B2 |
7077131 | Hansen | Jul 2006 | B2 |
RE39225 | Isaza et al. | Aug 2006 | E |
7096866 | Be'eri et al. | Aug 2006 | B2 |
7100607 | Zdrojkowski et al. | Sep 2006 | B2 |
7100609 | Berthon-Jones et al. | Sep 2006 | B2 |
7117438 | Wallace et al. | Oct 2006 | B2 |
7137389 | Berthon-Jones | Nov 2006 | B2 |
7152598 | Morris et al. | Dec 2006 | B2 |
7162296 | Leonhardt et al. | Jan 2007 | B2 |
7210478 | Banner et al. | May 2007 | B2 |
7225013 | Geva et al. | May 2007 | B2 |
7246618 | Habashi | Jul 2007 | B2 |
7255103 | Bassin | Aug 2007 | B2 |
7267121 | Ivri | Sep 2007 | B2 |
7270126 | Wallace et al. | Sep 2007 | B2 |
7270128 | Berthon-Jones et al. | Sep 2007 | B2 |
7296573 | Estes et al. | Nov 2007 | B2 |
7305987 | Schöller et al. | Dec 2007 | B2 |
7305988 | Acker | Dec 2007 | B2 |
7320320 | Berthon-Jones | Jan 2008 | B2 |
7334578 | Biondi et al. | Feb 2008 | B2 |
7367337 | Berthon-Jones et al. | May 2008 | B2 |
7369757 | Farbarik | May 2008 | B2 |
7370650 | Nadjafizadeh et al. | May 2008 | B2 |
RE40402 | Leonhardt et al. | Jun 2008 | E |
7425201 | Euliano | Sep 2008 | B2 |
7428902 | Du et al. | Sep 2008 | B2 |
7455717 | Sprinkle | Nov 2008 | B2 |
7460959 | Jafari | Dec 2008 | B2 |
7475685 | Dietz et al. | Jan 2009 | B2 |
7484508 | Younes | Feb 2009 | B2 |
7487773 | Li | Feb 2009 | B2 |
7509957 | Duquette et al. | Mar 2009 | B2 |
7516742 | Stenzler et al. | Apr 2009 | B2 |
7520279 | Berthon-Jones | Apr 2009 | B2 |
7533670 | Freitag et al. | May 2009 | B1 |
7556038 | Kirby et al. | Jul 2009 | B2 |
7588031 | Truschel et al. | Sep 2009 | B2 |
7588543 | Euliano | Sep 2009 | B2 |
7610914 | Bolam et al. | Nov 2009 | B2 |
7617824 | Doyle | Nov 2009 | B2 |
7621270 | Morris et al. | Nov 2009 | B2 |
7621271 | Brugnoli | Nov 2009 | B2 |
7644713 | Berthon-Jones | Jan 2010 | B2 |
7654802 | Crawford, Jr. et al. | Feb 2010 | B2 |
7672720 | Heath | Mar 2010 | B2 |
7678058 | Patangay et al. | Mar 2010 | B2 |
7678061 | Lee et al. | Mar 2010 | B2 |
7682312 | Lurie | Mar 2010 | B2 |
7690378 | Turcott | Apr 2010 | B1 |
7694677 | Tang | Apr 2010 | B2 |
7697990 | Ujhazy et al. | Apr 2010 | B2 |
7708016 | Zaiser et al. | May 2010 | B2 |
7717110 | Kane et al. | May 2010 | B2 |
7717111 | Schneider et al. | May 2010 | B2 |
7717113 | Andrieux | May 2010 | B2 |
7722546 | Madaus et al. | May 2010 | B2 |
D618356 | Ross | Jun 2010 | S |
7727160 | Green et al. | Jun 2010 | B2 |
7730886 | Berthon-Jones | Jun 2010 | B2 |
7751894 | Freeberg | Jul 2010 | B1 |
7763097 | Federspiel et al. | Jul 2010 | B2 |
7770578 | Estes et al. | Aug 2010 | B2 |
7784461 | Figueiredo et al. | Aug 2010 | B2 |
7793659 | Breen | Sep 2010 | B2 |
7802571 | Tehrani | Sep 2010 | B2 |
7810496 | Estes et al. | Oct 2010 | B2 |
7810497 | Pittman et al. | Oct 2010 | B2 |
7819815 | Younes | Oct 2010 | B2 |
7823588 | Hansen | Nov 2010 | B2 |
7841343 | Deane | Nov 2010 | B2 |
7849854 | DeVries et al. | Dec 2010 | B2 |
7855716 | McCreary et al. | Dec 2010 | B2 |
7866318 | Bassin | Jan 2011 | B2 |
7874293 | Gunaratnam et al. | Jan 2011 | B2 |
D632796 | Ross et al. | Feb 2011 | S |
D632797 | Ross et al. | Feb 2011 | S |
7891354 | Farbarik | Feb 2011 | B2 |
7893560 | Carter | Feb 2011 | B2 |
7914459 | Green et al. | Mar 2011 | B2 |
D638852 | Skidmore et al. | May 2011 | S |
7934499 | Berthon-Jones | May 2011 | B2 |
7984714 | Hausmann et al. | Jul 2011 | B2 |
D643535 | Ross et al. | Aug 2011 | S |
7992557 | Nadjafizadeh et al. | Aug 2011 | B2 |
8001967 | Wallace et al. | Aug 2011 | B2 |
D645158 | Sanchez et al. | Sep 2011 | S |
8015974 | Christopher | Sep 2011 | B2 |
8021310 | Sanborn et al. | Sep 2011 | B2 |
D649157 | Skidmore et al. | Nov 2011 | S |
D652521 | Ross et al. | Jan 2012 | S |
D652936 | Ross et al. | Jan 2012 | S |
D653749 | Winter et al. | Feb 2012 | S |
8113062 | Graboi et al. | Feb 2012 | B2 |
8122885 | Berthon-Jones | Feb 2012 | B2 |
D655405 | Winter et al. | Mar 2012 | S |
D655809 | Winter et al. | Mar 2012 | S |
D656237 | Sanchez et al. | Mar 2012 | S |
8136521 | Matthews | Mar 2012 | B2 |
8181648 | Perine et al. | May 2012 | B2 |
8210173 | Vandine | Jul 2012 | B2 |
8210174 | Farbarik | Jul 2012 | B2 |
8240684 | Ross et al. | Aug 2012 | B2 |
8267085 | Jafari et al. | Sep 2012 | B2 |
8272379 | Jafari et al. | Sep 2012 | B2 |
8272380 | Jafari et al. | Sep 2012 | B2 |
8302600 | Andrieux et al. | Nov 2012 | B2 |
8302602 | Andrieux et al. | Nov 2012 | B2 |
8353844 | Jin | Jan 2013 | B2 |
D692556 | Winter | Oct 2013 | S |
D693001 | Winter | Nov 2013 | S |
8603006 | Mulqueeny et al. | Dec 2013 | B2 |
8617083 | Euliano | Dec 2013 | B2 |
8646447 | Martin | Feb 2014 | B2 |
D701601 | Winter | Mar 2014 | S |
8672858 | Euliano | Mar 2014 | B2 |
8826907 | Masic | Sep 2014 | B2 |
8876728 | Baloa Welzien | Nov 2014 | B2 |
8910632 | Tiedje | Dec 2014 | B2 |
8920333 | Younes | Dec 2014 | B2 |
8950399 | Handzsuj | Feb 2015 | B2 |
8960192 | Welzien et al. | Feb 2015 | B2 |
D731048 | Winter | Jun 2015 | S |
D731049 | Winter | Jun 2015 | S |
D731065 | Winter | Jun 2015 | S |
D736905 | Winter | Aug 2015 | S |
9155852 | Soliman et al. | Oct 2015 | B2 |
D744095 | Winter | Nov 2015 | S |
9220856 | Martin | Dec 2015 | B2 |
9392964 | Mulqueeny | Jul 2016 | B2 |
9592356 | Truschel | Mar 2017 | B2 |
9808591 | Esmaeil-zadeh-azar | Nov 2017 | B2 |
9839760 | Bonassa | Dec 2017 | B2 |
9895083 | Zheng | Feb 2018 | B2 |
9925346 | Dong et al. | Mar 2018 | B2 |
9950129 | Glenn et al. | Apr 2018 | B2 |
9956363 | Masic | May 2018 | B2 |
9987457 | Winter et al. | Jun 2018 | B2 |
10022084 | Nonaka | Jul 2018 | B2 |
10165966 | Banner | Jan 2019 | B2 |
10207068 | Jafari et al. | Feb 2019 | B2 |
10293126 | Berry | May 2019 | B2 |
10668239 | Kimm | Jun 2020 | B2 |
20050034727 | Shusterman et al. | Feb 2005 | A1 |
20050039748 | Andrieux | Feb 2005 | A1 |
20050139212 | Bourdon | Jun 2005 | A1 |
20060155336 | Heath | Jul 2006 | A1 |
20060174884 | Habashi | Aug 2006 | A1 |
20060235324 | Lynn | Oct 2006 | A1 |
20060249148 | Younes | Nov 2006 | A1 |
20060278223 | Younes | Dec 2006 | A1 |
20070000494 | Banner et al. | Jan 2007 | A1 |
20070017515 | Wallace et al. | Jan 2007 | A1 |
20070028921 | Banner et al. | Feb 2007 | A1 |
20070044796 | Zdrojkowski et al. | Mar 2007 | A1 |
20070044799 | Hete et al. | Mar 2007 | A1 |
20070077200 | Baker | Apr 2007 | A1 |
20070215146 | Douglas et al. | Sep 2007 | A1 |
20070227537 | Bemister et al. | Oct 2007 | A1 |
20070272241 | Sanborn et al. | Nov 2007 | A1 |
20070284361 | Nadjafizadeh et al. | Dec 2007 | A1 |
20080011301 | Qian | Jan 2008 | A1 |
20080017198 | Ivri | Jan 2008 | A1 |
20080045813 | Phuah et al. | Feb 2008 | A1 |
20080053441 | Gottlib et al. | Mar 2008 | A1 |
20080053443 | Estes et al. | Mar 2008 | A1 |
20080053444 | Estes et al. | Mar 2008 | A1 |
20080072896 | Setzer et al. | Mar 2008 | A1 |
20080072901 | Habashi | Mar 2008 | A1 |
20080072902 | Setzer et al. | Mar 2008 | A1 |
20080078390 | Milne et al. | Apr 2008 | A1 |
20080083644 | Janbakhsh et al. | Apr 2008 | A1 |
20080092894 | Nicolazzi et al. | Apr 2008 | A1 |
20080097234 | Nicolazzi et al. | Apr 2008 | A1 |
20080110461 | Mulqueeny et al. | May 2008 | A1 |
20080142012 | Farnsworth et al. | Jun 2008 | A1 |
20080163872 | Negele et al. | Jul 2008 | A1 |
20080185002 | Berthon-Jones et al. | Aug 2008 | A1 |
20080196720 | Kollmeyer et al. | Aug 2008 | A1 |
20080202528 | Carter et al. | Aug 2008 | A1 |
20080216832 | Carter et al. | Sep 2008 | A1 |
20080216833 | Pujol et al. | Sep 2008 | A1 |
20080234595 | Ranieri et al. | Sep 2008 | A1 |
20080257349 | Hedner et al. | Oct 2008 | A1 |
20080283061 | Tiedje | Nov 2008 | A1 |
20080295839 | Habashi | Dec 2008 | A1 |
20090020120 | Schatzl et al. | Jan 2009 | A1 |
20090020121 | Bassin | Jan 2009 | A1 |
20090038616 | Mulcahy et al. | Feb 2009 | A1 |
20090056719 | Newman, Jr. | Mar 2009 | A1 |
20090084381 | DeVries et al. | Apr 2009 | A1 |
20090095298 | Gunaratnam et al. | Apr 2009 | A1 |
20090107502 | Younes | Apr 2009 | A1 |
20090114224 | Handzsuj et al. | May 2009 | A1 |
20090159082 | Eger | Jun 2009 | A1 |
20090165795 | Nadjafizadeh et al. | Jul 2009 | A1 |
20090171176 | Andersohn | Jul 2009 | A1 |
20090173347 | Berthon-Jones | Jul 2009 | A1 |
20090188502 | Tiedje | Jul 2009 | A1 |
20090199855 | Davenport | Aug 2009 | A1 |
20090205661 | Stephenson et al. | Aug 2009 | A1 |
20090205663 | Vandine et al. | Aug 2009 | A1 |
20090221926 | Younes | Sep 2009 | A1 |
20090229611 | Martin et al. | Sep 2009 | A1 |
20090241951 | Jafari et al. | Oct 2009 | A1 |
20090241952 | Nicolazzi et al. | Oct 2009 | A1 |
20090241953 | Vandine et al. | Oct 2009 | A1 |
20090241955 | Jafari et al. | Oct 2009 | A1 |
20090241956 | Baker, Jr. et al. | Oct 2009 | A1 |
20090241957 | Baker, Jr. | Oct 2009 | A1 |
20090241958 | Baker, Jr. | Oct 2009 | A1 |
20090241962 | Jafari et al. | Oct 2009 | A1 |
20090247848 | Baker, Jr. | Oct 2009 | A1 |
20090247849 | McCutcheon et al. | Oct 2009 | A1 |
20090247853 | Debreczeny | Oct 2009 | A1 |
20090247891 | Wood | Oct 2009 | A1 |
20090287070 | Baker, Jr. | Nov 2009 | A1 |
20090301486 | Masic | Dec 2009 | A1 |
20090301487 | Masic | Dec 2009 | A1 |
20090301490 | Masic | Dec 2009 | A1 |
20090301491 | Masic et al. | Dec 2009 | A1 |
20100011307 | Desfossez et al. | Jan 2010 | A1 |
20100024820 | Bourdon | Feb 2010 | A1 |
20100051026 | Graboi | Mar 2010 | A1 |
20100051029 | Jafari et al. | Mar 2010 | A1 |
20100065055 | Morris et al. | Mar 2010 | A1 |
20100065057 | Berthon-Jones | Mar 2010 | A1 |
20100069761 | Karst et al. | Mar 2010 | A1 |
20100071689 | Thiessen | Mar 2010 | A1 |
20100071692 | Porges | Mar 2010 | A1 |
20100071695 | Thiessen | Mar 2010 | A1 |
20100071696 | Jafari | Mar 2010 | A1 |
20100071697 | Jafari et al. | Mar 2010 | A1 |
20100078017 | Andrieux et al. | Apr 2010 | A1 |
20100078026 | Andrieux et al. | Apr 2010 | A1 |
20100081119 | Jafari et al. | Apr 2010 | A1 |
20100081955 | Wood, Jr. et al. | Apr 2010 | A1 |
20100137380 | Maybaum | Jun 2010 | A1 |
20100137723 | Patangay et al. | Jun 2010 | A1 |
20100137729 | Pierry et al. | Jun 2010 | A1 |
20100137730 | Hatlestad | Jun 2010 | A1 |
20100139660 | Adahan | Jun 2010 | A1 |
20100145201 | Westbrook et al. | Jun 2010 | A1 |
20100147303 | Jafari et al. | Jun 2010 | A1 |
20100152553 | Ujhazy et al. | Jun 2010 | A1 |
20100152560 | Turcott | Jun 2010 | A1 |
20100170512 | Kuypers et al. | Jul 2010 | A1 |
20100174200 | Wood et al. | Jul 2010 | A1 |
20100174207 | Lee et al. | Jul 2010 | A1 |
20100180898 | Schneider et al. | Jul 2010 | A1 |
20100186741 | Aylsworth et al. | Jul 2010 | A1 |
20100186742 | Sherman et al. | Jul 2010 | A1 |
20100186743 | Kane et al. | Jul 2010 | A1 |
20100186744 | Andrieux | Jul 2010 | A1 |
20100191076 | Lewicke et al. | Jul 2010 | A1 |
20100191137 | Brada et al. | Jul 2010 | A1 |
20100192094 | Jeha et al. | Jul 2010 | A1 |
20100198086 | Kuo et al. | Aug 2010 | A1 |
20100199991 | Koledin | Aug 2010 | A1 |
20100210924 | Parthasarathy et al. | Aug 2010 | A1 |
20100218764 | Kwok et al. | Sep 2010 | A1 |
20100218765 | Jafari et al. | Sep 2010 | A1 |
20100218766 | Milne | Sep 2010 | A1 |
20100218767 | Jafari et al. | Sep 2010 | A1 |
20100218773 | Thornton | Sep 2010 | A1 |
20100222692 | McCawley et al. | Sep 2010 | A1 |
20100224190 | Tilley et al. | Sep 2010 | A1 |
20100228133 | Averina et al. | Sep 2010 | A1 |
20100228134 | Martikka et al. | Sep 2010 | A1 |
20100229863 | Enk | Sep 2010 | A1 |
20100234750 | Ariav et al. | Sep 2010 | A1 |
20100236553 | Jafari et al. | Sep 2010 | A1 |
20100236554 | Prete | Sep 2010 | A1 |
20100236555 | Jafari et al. | Sep 2010 | A1 |
20100241009 | Petkie | Sep 2010 | A1 |
20100242961 | Mougel et al. | Sep 2010 | A1 |
20100242965 | Berthon-Jones | Sep 2010 | A1 |
20100249549 | Baker, Jr. et al. | Sep 2010 | A1 |
20100249630 | Droitcour et al. | Sep 2010 | A1 |
20100249631 | Aoki et al. | Sep 2010 | A1 |
20100249632 | Lee et al. | Sep 2010 | A1 |
20100249633 | Droitcour et al. | Sep 2010 | A1 |
20100252037 | Wondka et al. | Oct 2010 | A1 |
20100252039 | Cipollone et al. | Oct 2010 | A1 |
20100252040 | Kapust et al. | Oct 2010 | A1 |
20100252041 | Kapust et al. | Oct 2010 | A1 |
20100252042 | Kapust et al. | Oct 2010 | A1 |
20100252043 | Freitag | Oct 2010 | A1 |
20100256463 | Greenwald et al. | Oct 2010 | A1 |
20100258116 | Federspiel et al. | Oct 2010 | A1 |
20100258124 | Madaus et al. | Oct 2010 | A1 |
20100258126 | Ujhazy et al. | Oct 2010 | A1 |
20100258127 | Hk | Oct 2010 | A1 |
20100262032 | Freeberg | Oct 2010 | A1 |
20100275920 | Tham et al. | Nov 2010 | A1 |
20100282259 | Figueiredo et al. | Nov 2010 | A1 |
20100288279 | Seiver et al. | Nov 2010 | A1 |
20100288283 | Campbell et al. | Nov 2010 | A1 |
20100300446 | Nicolazzi et al. | Dec 2010 | A1 |
20100307499 | Eger et al. | Dec 2010 | A1 |
20110011400 | Gentner et al. | Jan 2011 | A1 |
20110017214 | Tehrani | Jan 2011 | A1 |
20110023878 | Thiessen | Feb 2011 | A1 |
20110023879 | Vandine et al. | Feb 2011 | A1 |
20110023880 | Thiessen | Feb 2011 | A1 |
20110023881 | Thiessen | Feb 2011 | A1 |
20110029910 | Thiessen | Feb 2011 | A1 |
20110036352 | Estes et al. | Feb 2011 | A1 |
20110041849 | Chen et al. | Feb 2011 | A1 |
20110041850 | Vandine et al. | Feb 2011 | A1 |
20110126829 | Carter et al. | Jun 2011 | A1 |
20110126832 | Winter et al. | Jun 2011 | A1 |
20110126834 | Winter et al. | Jun 2011 | A1 |
20110126835 | Winter et al. | Jun 2011 | A1 |
20110126836 | Winter et al. | Jun 2011 | A1 |
20110126837 | Winter et al. | Jun 2011 | A1 |
20110128008 | Carter | Jun 2011 | A1 |
20110132361 | Sanchez | Jun 2011 | A1 |
20110132362 | Sanchez | Jun 2011 | A1 |
20110132364 | Ogilvie et al. | Jun 2011 | A1 |
20110132365 | Patel et al. | Jun 2011 | A1 |
20110132366 | Ogilvie et al. | Jun 2011 | A1 |
20110132367 | Patel | Jun 2011 | A1 |
20110132368 | Sanchez et al. | Jun 2011 | A1 |
20110132369 | Sanchez | Jun 2011 | A1 |
20110132371 | Sanchez et al. | Jun 2011 | A1 |
20110133936 | Sanchez et al. | Jun 2011 | A1 |
20110138308 | Palmer et al. | Jun 2011 | A1 |
20110138309 | Skidmore et al. | Jun 2011 | A1 |
20110138311 | Palmer | Jun 2011 | A1 |
20110138315 | Vandine et al. | Jun 2011 | A1 |
20110138323 | Skidmore et al. | Jun 2011 | A1 |
20110146681 | Jafari et al. | Jun 2011 | A1 |
20110146683 | Jafari et al. | Jun 2011 | A1 |
20110154241 | Skidmore et al. | Jun 2011 | A1 |
20110175728 | Baker, Jr. | Jul 2011 | A1 |
20110196251 | Jourdain et al. | Aug 2011 | A1 |
20110197888 | Deutsch et al. | Aug 2011 | A1 |
20110209702 | Vuong et al. | Sep 2011 | A1 |
20110209704 | Jafari et al. | Sep 2011 | A1 |
20110209707 | Terhark | Sep 2011 | A1 |
20110213215 | Doyle et al. | Sep 2011 | A1 |
20110230780 | Sanborn et al. | Sep 2011 | A1 |
20110249006 | Wallace et al. | Oct 2011 | A1 |
20110259330 | Jafari et al. | Oct 2011 | A1 |
20110259332 | Sanchez et al. | Oct 2011 | A1 |
20110259333 | Sanchez et al. | Oct 2011 | A1 |
20110265024 | Leone et al. | Oct 2011 | A1 |
20110271960 | Milne et al. | Nov 2011 | A1 |
20110273299 | Milne et al. | Nov 2011 | A1 |
20120000467 | Milne et al. | Jan 2012 | A1 |
20120000468 | Milne et al. | Jan 2012 | A1 |
20120000469 | Milne et al. | Jan 2012 | A1 |
20120000470 | Milne et al. | Jan 2012 | A1 |
20120029317 | Doyle et al. | Feb 2012 | A1 |
20120030611 | Skidmore | Feb 2012 | A1 |
20120060841 | Crawford, Jr. et al. | Mar 2012 | A1 |
20120071729 | Doyle et al. | Mar 2012 | A1 |
20120090611 | Graboi et al. | Apr 2012 | A1 |
20120096381 | Milne et al. | Apr 2012 | A1 |
20120133519 | Milne et al. | May 2012 | A1 |
20120136222 | Doyle et al. | May 2012 | A1 |
20120137249 | Milne et al. | May 2012 | A1 |
20120137250 | Milne et al. | May 2012 | A1 |
20120157872 | Welzien et al. | Jun 2012 | A1 |
20120167885 | Masic et al. | Jul 2012 | A1 |
20120185792 | Kimm et al. | Jul 2012 | A1 |
20120197578 | Vig et al. | Aug 2012 | A1 |
20120197580 | Vij et al. | Aug 2012 | A1 |
20120211008 | Perine et al. | Aug 2012 | A1 |
20120216809 | Milne et al. | Aug 2012 | A1 |
20120216810 | Jafari et al. | Aug 2012 | A1 |
20120216811 | Kimm et al. | Aug 2012 | A1 |
20120226444 | Milne et al. | Sep 2012 | A1 |
20120247471 | Masic et al. | Oct 2012 | A1 |
20120272960 | Milne | Nov 2012 | A1 |
20120272961 | Masic et al. | Nov 2012 | A1 |
20120272962 | Doyle et al. | Nov 2012 | A1 |
20120277616 | Sanborn et al. | Nov 2012 | A1 |
20120279501 | Wallace et al. | Nov 2012 | A1 |
20120304995 | Kauc | Dec 2012 | A1 |
20120304997 | Jafari et al. | Dec 2012 | A1 |
20130000644 | Thiessen | Jan 2013 | A1 |
20130006133 | Doyle et al. | Jan 2013 | A1 |
20130006134 | Doyle et al. | Jan 2013 | A1 |
20130008443 | Thiessen | Jan 2013 | A1 |
20130025596 | Jafari et al. | Jan 2013 | A1 |
20130025597 | Doyle et al. | Jan 2013 | A1 |
20130032151 | Adahan | Feb 2013 | A1 |
20130042869 | Andrieux et al. | Feb 2013 | A1 |
20130047983 | Andrieux et al. | Feb 2013 | A1 |
20130047989 | Vandine et al. | Feb 2013 | A1 |
20130053717 | Vandine et al. | Feb 2013 | A1 |
20130074844 | Kimm et al. | Mar 2013 | A1 |
20130081536 | Crawford, Jr. et al. | Apr 2013 | A1 |
20130104896 | Kimm et al. | May 2013 | A1 |
20130146055 | Jafari et al. | Jun 2013 | A1 |
20130152923 | Andrieux et al. | Jun 2013 | A1 |
20130158370 | Doyle et al. | Jun 2013 | A1 |
20130159912 | Baker, Jr. | Jun 2013 | A1 |
20130167842 | Jafari et al. | Jul 2013 | A1 |
20130167843 | Kimm et al. | Jul 2013 | A1 |
20130174846 | Stenqvist | Jul 2013 | A1 |
20130186397 | Patel | Jul 2013 | A1 |
20130186400 | Jafari et al. | Jul 2013 | A1 |
20130186401 | Jafari et al. | Jul 2013 | A1 |
20130192599 | Nakai et al. | Aug 2013 | A1 |
20130220324 | Jafari et al. | Aug 2013 | A1 |
20130233314 | Jafari et al. | Sep 2013 | A1 |
20130233319 | Winter et al. | Sep 2013 | A1 |
20130239038 | Skidmore et al. | Sep 2013 | A1 |
20130239967 | Jafari et al. | Sep 2013 | A1 |
20130255682 | Jafari et al. | Oct 2013 | A1 |
20130255685 | Jafari et al. | Oct 2013 | A1 |
20130276788 | Masic | Oct 2013 | A1 |
20130283197 | Skidmore | Oct 2013 | A1 |
20130284172 | Doyle et al. | Oct 2013 | A1 |
20130284173 | Masic et al. | Oct 2013 | A1 |
20130284177 | Li et al. | Oct 2013 | A1 |
20130327331 | Bourdon | Dec 2013 | A1 |
20130333697 | Carter et al. | Dec 2013 | A1 |
20130333703 | Wallace et al. | Dec 2013 | A1 |
20130338514 | Karst et al. | Dec 2013 | A1 |
20130345532 | Doyle et al. | Dec 2013 | A1 |
20140000606 | Doyle et al. | Jan 2014 | A1 |
20140012150 | Milne et al. | Jan 2014 | A1 |
20140034054 | Angelico et al. | Feb 2014 | A1 |
20140041656 | Jourdain et al. | Feb 2014 | A1 |
20140048071 | Milne et al. | Feb 2014 | A1 |
20140048072 | Angelico et al. | Feb 2014 | A1 |
20140121553 | Milne et al. | May 2014 | A1 |
20140123979 | Doyle | May 2014 | A1 |
20140130798 | Milne et al. | May 2014 | A1 |
20140182590 | Platt et al. | Jul 2014 | A1 |
20140224250 | Sanchez et al. | Aug 2014 | A1 |
20140251328 | Graboi et al. | Sep 2014 | A1 |
20140261409 | Dong et al. | Sep 2014 | A1 |
20140261410 | Sanchez et al. | Sep 2014 | A1 |
20140261424 | Doyle et al. | Sep 2014 | A1 |
20140276176 | Winter | Sep 2014 | A1 |
20140290657 | Vandine et al. | Oct 2014 | A1 |
20140309507 | Baker, Jr. | Oct 2014 | A1 |
20140345616 | Masic | Nov 2014 | A1 |
20140360497 | Jafari et al. | Dec 2014 | A1 |
20140366879 | Kimm et al. | Dec 2014 | A1 |
20140373845 | Dong | Dec 2014 | A1 |
20150034082 | Kimm et al. | Feb 2015 | A1 |
20150045687 | Nakai et al. | Feb 2015 | A1 |
20150090258 | Milne et al. | Apr 2015 | A1 |
20150090264 | Dong | Apr 2015 | A1 |
20150107584 | Jafari et al. | Apr 2015 | A1 |
20150217069 | Novotni et al. | Aug 2015 | A1 |
20150231351 | Jonson | Aug 2015 | A1 |
20160045694 | Esmaeil-zadeh-azar | Feb 2016 | A1 |
20160106938 | Jourdain et al. | Apr 2016 | A1 |
20160114115 | Glenn et al. | Apr 2016 | A1 |
20160135713 | Chbat et al. | May 2016 | A1 |
20160243324 | Doyle et al. | Aug 2016 | A1 |
20160250427 | Jafari et al. | Sep 2016 | A1 |
20160256643 | Graboi et al. | Sep 2016 | A1 |
20160256656 | Glenn et al. | Sep 2016 | A1 |
20160354566 | Thiessen | Dec 2016 | A1 |
20170095627 | Jafari et al. | Apr 2017 | A1 |
20170164872 | Sanborn et al. | Jun 2017 | A1 |
20170182269 | Masic et al. | Jun 2017 | A1 |
20170296765 | Dong et al. | Oct 2017 | A1 |
20180036500 | Esmaeil-zadeh-azar | Feb 2018 | A1 |
20180193578 | Glenn et al. | Jul 2018 | A1 |
20180207378 | Masic | Jul 2018 | A1 |
20180207379 | Masic | Jul 2018 | A1 |
20180256838 | Doyle et al. | Sep 2018 | A1 |
20190143058 | Kimm | May 2019 | A1 |
20190143059 | Sanborn | May 2019 | A1 |
Number | Date | Country |
---|---|---|
104135925 | Nov 2014 | CN |
982043 | Mar 2000 | EP |
1491227 | Dec 2004 | EP |
858352 | Jan 2005 | EP |
1515767 | Aug 2009 | EP |
2000175886 | Jun 2000 | JP |
2008000436 | Jan 2008 | JP |
2008178695 | Aug 2008 | JP |
5608675 | Oct 2014 | JP |
5858927 | Feb 2016 | JP |
9014852 | Dec 1990 | WO |
9214505 | Sep 1992 | WO |
9308857 | May 1993 | WO |
199715343 | May 1997 | WO |
9812965 | Apr 1998 | WO |
199951292 | Oct 1999 | WO |
199962580 | Dec 1999 | WO |
200010634 | Mar 2000 | WO |
200078380 | Dec 2000 | WO |
0100264 | Jan 2001 | WO |
0100265 | Jan 2001 | WO |
200174430 | Oct 2001 | WO |
2002028460 | Apr 2002 | WO |
2002032488 | Apr 2002 | WO |
2003008027 | Jan 2003 | WO |
4047621 | Jun 2004 | WO |
2005004780 | Jan 2005 | WO |
2007082384 | Jul 2007 | WO |
2007102866 | Sep 2007 | WO |
2007145948 | Dec 2007 | WO |
2010081223 | Jul 2010 | WO |
2010121313 | Oct 2010 | WO |
2011145014 | Nov 2011 | WO |
2013137797 | Sep 2013 | WO |
2016189069 | Dec 2016 | WO |
2017055959 | Apr 2017 | WO |
Entry |
---|
7200 Series Ventilator, Options, and Accessories: Operator's Manual. Nellcor Puritan Bennett, Part No. 22300 A, Sep. 1990, pp. 1-196. |
7200 Ventilatory System: Addendum/Errata. Nellcor Puritan Bennett, Part No. 4-023576-00, Rev. A, Apr. 1998, pp. 1-32. |
800 Operator's and Technical Reference Manual. Series Ventilator System, Nellcor Puritan Bennett, Part No. 4-070088-00, Rev. L, Aug. 2010, pp. 1-476. |
840 Operator's and Technical Reference Manual. Ventilator System, Nellcor Puritan Bennett, Part No. 4-075609-00, Rev. G, Oct. 2006, pp. 1-424. |
Amato, Marcelo et al., “Driving Pressure and Survival in the Acute Respiratory Distress Syndrome”, The NE Journal of Medicine, 372;8, Feb. 19, 2015, 9 pages. |
Canadian Office Action in Application 3046571, dated Nov. 6, 2019, 4 pages. |
Canadian Office Action in Application 3046571, dated Jul. 24, 2019, 4 pages. |
Georgopoulos, Dimitris et al., “Driving Pressure during assisted mechanical ventilation—Is it controlled by patient brain?”, Resp Phys & Neur 228 (2016); 69-75. |
Grieco, Domenico et al., “Should we use driving pressure to set tidal volume?”, Current Opinion, Review, www.co-criticalcare.com, vol. 23, No. 1, Feb. 2017, 7 pages. |
Kacmarek, Robert M. et al., “Physiology of Ventilatory Support”, Chapter 43, found online at: https://clinicalgate.com/physiology-of-ventilatory-support/, published on Jan. 6, 2015, 19 pgs. |
PCT International Search Report and Written Opinion in International Application PCT/US2018/058226, dated Dec. 21, 2018, 19 pages. |
Puritan Bennett 980 Series Ventilator Operator's Manual, Covidien, Jan. 29, 2014, Part. No. 10077893 A Jan. 2014, 506 pages. |
YouTube Video: “Accurately setting PEEP with transpulmonary pressure”, Hamilton Medical, found online at: https://www.youtube.com/watch?v=GH1rtU-1hJc#action=share, 5:09, published on Mar. 2, 2015. |
PCT International Preliminary Report on Patentability in International Application PCT/US2018/058226, dated May 19, 2020, 9 pages. |
China Office Action dated Jun. 2, 2021 for Chinese Application No. 201880004211.9, 6 pages. |
Number | Date | Country | |
---|---|---|---|
20200254202 A1 | Aug 2020 | US |
Number | Date | Country | |
---|---|---|---|
62725490 | Aug 2018 | US | |
62586077 | Nov 2017 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 16174483 | Oct 2018 | US |
Child | 16859526 | US |