Device for Measuring Capillary Blood Flow and the Onset of Shock

Information

  • Research Project
  • 8646183
  • ApplicationId
    8646183
  • Core Project Number
    R44HL106851
  • Full Project Number
    2R44HL106851-02
  • Serial Number
    106851
  • FOA Number
    PA-13-088
  • Sub Project Id
  • Project Start Date
    12/1/2010 - 13 years ago
  • Project End Date
    5/31/2016 - 8 years ago
  • Program Officer Name
    BALDWIN, TIM
  • Budget Start Date
    8/1/2014 - 9 years ago
  • Budget End Date
    5/31/2015 - 9 years ago
  • Fiscal Year
    2014
  • Support Year
    02
  • Suffix
  • Award Notice Date
    7/23/2014 - 9 years ago

Device for Measuring Capillary Blood Flow and the Onset of Shock

DESCRIPTION (provided by applicant): Hemorrhagic shock is a major cause of death in emergency departments and trauma centers. Currently there is no clinically accepted quantitative monitor of the onset of hemorrhagic shock. Death from hemorrhagic shock results from diminished capillary blood flow and the resultant failure of the body to oxygenate major organs. The long-term goal of this proposal, a collaboration between Radiation Monitoring Devices and the Mayo Clinic, is to develop a sensor patch (CBFM) that attaches to a patient's skin and continuously monitors capillary blood flow and predicts the onset of hemorrhagic shock. The sensor is based upon diffuse correlation spectroscopy (DCS). DCS measures fluctuations in near-infrared light scattering of blood cell motion in capillaries. DCS extracts th characteristic time constants due to mean blood flow velocity. The aims of the proposal are: 1. Integrate DCS system with physiological monitors, 2. Perform definitive measurements using the human lower body negative pressure (LBNP) model for hemorrhage. 3. Analyze DCS and physiological data and answer the following questions: Is normalization of subject-to-subject variation possible? Is subject-to-subject variability reduced by DRS-based determination of tissue scattering and absorbance properties? Is predictive value improved by addition of vital parameters and if so, what is the best approach to multiparametric smart algorithms? Is predictive value improved by measuring the change in ? with progressive bleed? 4. Perform LBNP studies under the US Army LBNP pressure to failure (presyncope) protocol. 5. Test the CBFM in a clinical setting during high-blood loss, human spinal surgery. 6. Complete all reports

IC Name
NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
  • Activity
    R44
  • Administering IC
    HL
  • Application Type
    2
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    497445
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    837
  • Ed Inst. Type
  • Funding ICs
    NHLBI:497445\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    RADIATION MONITORING DEVICES, INC.
  • Organization Department
  • Organization DUNS
    073804411
  • Organization City
    WATERTOWN
  • Organization State
    MA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    024724624
  • Organization District
    UNITED STATES