Literature DB >> 28767544

Compensatory Reserve Index: Performance of A Novel Monitoring Technology to Identify the Bleeding Trauma Patient.

Michael C Johnson1, Abdul Alarhayem1, Victor Convertino2, Robert Carter2, Kevin Chung2, Ronald Stewart1, John Myers1, Daniel Dent1, Lilian Liao1, Ramon Cestero1, Susannah Nicholson1, Mark Muir1, Martin Schwacha1, David Wampler1, Mark DeRosa1, Brian Eastridge1.   

Abstract

INTRODUCTION: Hemorrhage is one of the most substantial causes of death after traumatic injury. Standard measures, including systolic blood pressure (SBP), are poor surrogate indicators of physiologic compromise until compensatory mechanisms have been overwhelmed. Compensatory Reserve Index (CRI) is a novel monitoring technology with the ability to assess physiologic reserve. We hypothesized CRI would be a better predictor of physiologic compromise secondary to hemorrhage than traditional vital signs.
METHODS: A prospective observational study of 89 subjects meeting trauma center activation criteria at a single level I trauma center was conducted from October 2015 to February 2016. Data collected included demographics, SBP, heart rate, and requirement for hemorrhage-associated, life-saving intervention (LSI) (i.e., operation or angiography for hemorrhage, local or tourniquet control of external bleeding, and transfusion >2 units PRBC). Receiver-operator characteristic (ROC) curves were formulated and appropriate thresholds were calculated to compare relative value of the metrics for predictive modeling.
RESULTS: For predicting hemorrhage-related LSI, CRI demonstrated a sensitivity of 83% and a negative predictive value (NPV) of 91% as compared with SBP with a sensitivity to detect hemorrhage of 26% (P < 0.05) and an NPV of 78%. ROC curves generated from admission CRI and SBP measures demonstrated values of 0.83 and 0.62, respectively. CRI identified significant hemorrhage requiring potentially life-saving therapy more reliably than SBP (P < 0.05).
CONCLUSION: The CRI device demonstrated superior capacity over systolic blood pressure in predicting the need for posttraumatic hemorrhage intervention in the acute resuscitation phase after injury.

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Year:  2018        PMID: 28767544     DOI: 10.1097/SHK.0000000000000959

Source DB:  PubMed          Journal:  Shock        ISSN: 1073-2322            Impact factor:   3.454


  6 in total

Review 1.  Physiological comparison of hemorrhagic shock and V˙ O2max: A conceptual framework for defining the limitation of oxygen delivery.

Authors:  Victor A Convertino; Kristen R Lye; Natalie J Koons; Michael J Joyner
Journal:  Exp Biol Med (Maywood)       Date:  2019-05-01

2.  The Feasibility of a Novel Index From a Wireless Doppler Ultrasound Patch to Detect Decreasing Cardiac Output in Healthy Volunteers.

Authors:  Jon-Émile S Kenny; Andrew M Eibl; Matthew Parrotta; Bradley F Long; Joseph K Eibl
Journal:  Mil Med       Date:  2021-01-25       Impact factor: 1.437

3.  The Doppler shock index measured by a wearable ultrasound patch accurately detects moderate-to-severe central hypovolemia during lower body negative pressure.

Authors:  Jon-Émile S Kenny; Mai Elfarnawany; Zhen Yang; Matt Myers; Andrew M Eibl; Joseph K Eibl; Jenna L Taylor; Chul Ho Kim; Bruce D Johnson
Journal:  J Am Coll Emerg Physicians Open       Date:  2021-08-07

Review 4.  Wearable Sensors Incorporating Compensatory Reserve Measurement for Advancing Physiological Monitoring in Critically Injured Trauma Patients.

Authors:  Victor A Convertino; Steven G Schauer; Erik K Weitzel; Sylvain Cardin; Mark E Stackle; Michael J Talley; Michael N Sawka; Omer T Inan
Journal:  Sensors (Basel)       Date:  2020-11-10       Impact factor: 3.576

5.  The compensatory reserve index predicts recurrent shock in patients with severe dengue.

Authors:  Huynh Trung Trieu; Lam Phung Khanh; Damien Keng Yen Ming; Chanh Ho Quang; Tu Qui Phan; Vinh Chau Nguyen Van; Ertan Deniz; Jane Mulligan; Bridget Ann Wills; Steven Moulton; Sophie Yacoub
Journal:  BMC Med       Date:  2022-04-07       Impact factor: 8.775

6.  AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.

Authors:  Victor A Convertino; Robert W Techentin; Ruth J Poole; Ashley C Dacy; Ashli N Carlson; Sylvain Cardin; Clifton R Haider; David R Holmes Iii; Chad C Wiggins; Michael J Joyner; Timothy B Curry; Omer T Inan
Journal:  Sensors (Basel)       Date:  2022-03-30       Impact factor: 3.576

  6 in total

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