The present disclosure relates to a method and a device for determining an internal filtration rate IFR within a capillary hemodialyzer.
The difficult removal of middle molecules from patients suffering from end-stage kidney disease represents one of the major challenges of hemodialysis. High concentrations of middle molecular weight (MW) solutes, such as β2-micro-globulin, myoglobin, complement factor D, and polyclonal free light chains (κ-FLC and λ-FLC), have been correlated to critical clinical outcomes in chronic kidney disease patients. In conventional hemodialysis, low MW solutes (e.g. urea and creatinine) are effectively removed by diffusion, whereas the removal of middle MW solutes is generally achieved with the superimposition of convective transport over pure diffusion. The use of more water-permeable high-flux dialyzers and hemodiafiltration to increase convective transport has been shown to enhance the clearance of middle MW solutes, but still leads to unsatisfactory clinical results.
In EP 3 102 312 B1 and EP 3 102 314 B1, a new class of membranes, defined as Medium cut-off (MCO), and hemodialyzers comprising such membranes are disclosed. The particular features of MCO membranes include high MW retention onset and MW cut-off value close to the molecular weight of albumin, allowing for the removal of solutes up to ca. 45 kDa with negligible albumin loss. The use of hemodialyzers equipped with MCO membranes has made it possible to perform a new therapy called expanded hemodialysis (HDx), in which convective and diffusive transport are efficiently combined to increase dialyzer removal capability over a wide range of molecular weights. This is due to the interplay among the larger permeability of the MCO membranes as compared to that of high-flux membranes, and their geometrical structure, which increase convective transport across the hemodialyzer membrane by enhancing internal filtration (i.e. movement of plasma water from the blood compartment towards the dialysate compartment across the porous membrane in the proximal part of the hemodialyzer) and back filtration (i.e. movement of plasma water from the dialysate compartment towards the blood compartment in the distal part of the hemodialyzer). The compensation of internal filtration (IF) with an adequate amount of back filtration (BF) also permits to avoid a complex set-up and the use of fluid reinfusion, thus overcoming some practical issues of hemodiafiltration.
Methods to experimentally quantify the rate of IF and BF applied to hemodialyzers equipped with MCO membranes have been recently described by A. Lorenzin et al.: “Quantification of internal filtration in hollow fiber hemodialyzers with Medium cut-off membrane”, Blood Purif. 46 (2018) 196-204. However, the experimental quantification of IF generally requires complex settings, and it is not costeffective. Therefore, a simple and effective method for determining internal filtration rate IFR within a hemodialyzer is still lacking.
The present disclosure provides a method and a device for determining an internal filtration rate IFR within a capillary hemodialyzer. The method only requires dimensions of the hemodialyzer, dimensions well as physical parameters of the hollow fiber membranes present in the hemodialyzer, and flow rates of blood and dialysate through the hemodialyzer, all of which are readily available.
The present disclosure provides a computer-implemented method for determining an internal filtration rate IFR within a capillary hemodialyzer. The method comprises
In one embodiment, the method additionally comprises
In a particular embodiment, data on physical properties of the hemodialyzer and of hollow fibers present in the hemodialyzer are acquired from a database in operative association with a processor of the computer.
In one embodiment of the method, the database comprises data on physical properties of a plurality of different hemodialyzers and of hollow fibers present in the hemodialyzers. For each hemodialyzer of the plurality of different hemodialyzers, such data may comprise a diameter d H of the housing of the hemodialyzer, a number N of the hollow fibers present in the hemodialyzer, an effective length L of the hollow fibers present in the hemodialyzer, a total surface area Atot of the hollow fibers present in the hemodialyzer, an internal diameter dB of the hollow fibers present in the hemodialyzer, a wall thickness δM of the hollow fibers present in the hemodialyzer, a porosity εm of the hollow fibers present in the hemodialyzer, and an ultrafiltration coefficient KUF of the hollow fibers present in the hemodialyzer.
Additionally, the database may comprise data on a blood viscosity μB and a dialysate viscosity μD.
In a further embodiment, data on physical properties of the hemodialyzer and of hollow fibers present in the hemodialyzer and/or the blood flow rate QB and the dialysis flow rate QD through the hemodialyzer during operation of the hemodialyzer is acquired from an input device in operative association with a processor of the computer.
The hemodialyzer is perfused with blood at a blood flow rate QB and dialysate at a dialysate flow rate QD during operation, i.e., when it is used in an external blood circuit to remove toxins from blood. The internal filtration rate IFR and the total volume Vtot of fluid exchanged through the wall of the hollow fiber membranes present in the hemodialyzer vary with blood flow rate QB and dialysate flow rate QD through the hemodialyzer.
In one embodiment, the input device comprises a contactless reader. In a particular embodiment, the contactless reader is an optical reader which acquires data of a barcode or QR code present on a hemodialyzer. In another particular embodiment, the contactless reader is a sensor which acquires data from an RFID or NFC tag present on or in the hemodialyzer.
In a further embodiment, the input device comprises at least one user interface. In a particular embodiment, the user interface comprises a keyboard or a touchscreen. In a further embodiment of the system, the input device comprises a graphical use interface (GUI). In a particular embodiment, the input device comprises a touchscreen of a smartphone. The input device is used for manually entering data on physical properties of the hemodialyzer and of hollow fibers present in the hemodialyzer, and/or the blood flow rate QB and the dialysis flow rate QD through the hemodialyzer during operation of the hemodialyzer.
In another embodiment, the input device comprises an extracorporeal blood treatment apparatus. The extracorporeal blood treatment apparatus controls the parameters of an extracorporeal blood circuit comprising a hemodialyzer during operation, i.e. during the treatment of a patient.
When used as an input device for the method of the present disclosure, the extracorporeal blood treatment apparatus provides data on physical properties of the hemodialyzer and of hollow fibers present in the hemodialyzer, and/or the blood flow rate QB and the dialysis flow rate QD through the hemodialyzer during operation of the hemodialyzer. In one embodiment of the method, the processor acquires realtime data of the blood flow rate QB and the dialysis flow rate QD through a hemodialyzer during operation of the hemodialyzer and, optionally, data on the duration TD of the operation, from the extracorporeal blood treatment apparatus, i.e. during an actual treatment. In another embodiment, a blood flow rate QB and a dialysis flow rate QD through a hemodialyzer during operation of the hemodialyzer and, optionally, a duration TD of the operation, are manually entered through the input device to simulate a treatment.
In one embodiment of the method, the data on physical properties of the hemodialyzer and of hollow fibers present in the hemodialyzer comprise a diameter d H of the housing of the hemodialyzer, a number N of the hollow fibers present in the hemodialyzer, an effective length L of the hollow fibers present in the hemodialyzer, a total surface area Atot of the hollow fibers present in the hemodialyzer, an internal diameter dB of the hollow fibers present in the hemodialyzer, a wall thickness δM of the hollow fibers present in the hemodialyzer, a porosity εm of the hollow fibers present in the hemodialyzer, and an ultrafiltration coefficient KUF of the hollow fibers present in the hemodialyzer.
In one embodiment of the method, the internal filtration rate IFR is determined according to
with
This equation can be rewritten as
In another embodiment of the method, the internal filtration rate IFR is determined according to
with
In a further embodiment of the method, some of the parameters in the above equation for IFR are calculated according to the following equations:
with
In one embodiment of the method, the total volume V tot of fluid exchanged through the wall of the hollow fiber membranes present in the hemodialyzer over a time period TD of operation of the hemodialyzer is determined according to
The present disclosure also provides a system comprising
In one embodiment of the system, the input device, the output device, and the processor are contained in a portable device. In one embodiment, the portable device is a portable computer, for instance, a laptop, a tablet computer, or a PDA. In a further embodiment, the portable device is a mobile communication device, for instance, a smartphone.
In one embodiment of the system, the output device is a display device. Examples of suitable display devices include monitors, computer displays, and touchscreens. In a particular embodiment, the display device is a touchscreen of a smartphone.
In one embodiment of the system, the database is present in a computer memory in operative association with the computer processor. In a further embodiment, the computer memory is contained in a portable device comprising the input device, the output device, and the processor. In another embodiment, the database is present in a remote computer memory, a network drive, or a cloud memory accessible via the internet.
The present disclosure also provides a computer program for instructing a computer processor to perform the method of
In one embodiment, the computer program takes the form of a software application (“app”) that can be installed and run on a smartphone.
The present disclosure also provides a non-transitory computer-readable medium comprising the computer program.
It will be understood that the features mentioned above and those described hereinafter can be used not only in the combination specified but also in other combinations or on their own, without departing from the scope of the present invention.
The method of the present disclosure will now be further described in the following examples and referring to the attached drawings.
Internal filtration rates within a hemodialyzer (Polyflux® 210H, Gambro Dialysatoren GmbH, 72379 Hechingen, Germany) were determined according to one embodiment of the method of the present disclosure, and compared to internal flow rates determined experimentally (from D. Schneditz et al.: “Internal filtration, filtration fraction, and blood flow resistance in high- and low-flux dialyzers”, Clin. Hemorheol. Microcirc. 58 (2014) 455-469).
The following physical properties of the hemodialyzer were used for the determination:
Values for blood viscosity of μ=5.2 mPas and dialysate viscosity of μD=0.96 mPas were used.
Internal filtration rate IFR was determined for a dialysis flow rate QD of 500 ml/min, and blood flow rates QB of 200 ml/min, 300 ml/min, 400 ml/min, and 500 ml/min, respectively.
The values for the following constant parameters were obtained as described above.
The following table shows IFR at QD=500 ml/min and different blood flow rates QB.
Internal filtration rates within a hemodialyzer (Theranova® 400, Gambro Dialysatoren GmbH, 72379 Hechingen, Germany) were determined according to one embodiment of the method of the present disclosure, and compared to internal flow rates determined experimentally (from A. Lorenzin et al.: “Quantification of Internal Filtration in Hollow Fiber Hemodialyzers with Medium Cut-off Membrane”, Blood Purif. 46 (2018) 196-204).
The following physical properties of the hemodialyzer were used for the determination:
Values for blood viscosity of μB=5.0 mPas and dialysate viscosity of μD=0.96 mPas were used.
Internal filtration rate IFR was determined for a dialysis flow rate QD of 500 ml/min, and blood flow rates QB of 300 ml/min and 400 ml/min, respectively.
The values for the following constant parameters were obtained as described above.
The following table shows IFR at QD=500 ml/min and different blood flow rates QB.
Number | Date | Country | Kind |
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19202905.6 | Oct 2019 | EP | regional |
Filing Document | Filing Date | Country | Kind |
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PCT/EP2020/078807 | 10/13/2020 | WO |