Literature DB >> 24667628

The value of noninvasive measurement of the compensatory reserve index in monitoring and triage of patients experiencing minimal blood loss.

Roy Nadler1, Victor A Convertino, Sami Gendler, Gadi Lending, Ari M Lipsky, Sylvain Cardin, Alexander Lowenthal, Elon Glassberg.   

Abstract

Currently available triage and monitoring tools are often late to detect life-threatening clinically significant physiological aberrations and provide limited data in prioritizing bleeding patients for treatment and evacuation. The Compensatory Reserve Index (CRI) is a novel means of assessing physiologic reserve, shown to correlate with central blood volume loss under laboratory conditions. The purpose of this study was to compare the noninvasive CRI device with currently available vital signs in detecting blood loss. Study subjects were soldiers volunteering for blood donation (n = 230), and the control group was composed of soldiers who did not donate blood (n = 34). Data collected before and after blood donation were compared, receiver operator characteristic curves were generated after either donation or the appropriate time interval, and areas under the curves (AUCs) were compared. Compared with pre-blood loss, blood donation resulted in a mean reduction of systolic blood pressure by 3% (before, 123 mmHg; after, 119 mmHg; P < 0.01). The CRI demonstrated a 16% reduction (before, 0.74; after, 0.62; P < 0.01). Heart rate, diastolic blood pressure, and oxygen saturation remained unchanged. The AUC for change in CRI was 0.81, 0.56 for change in heart rate, 0.53 for change in systolic blood pressure, 0.55 and 0.58 for pulse pressure and shock index, respectively. The AUCs for detecting mild blood loss at a single measurement were 0.73 for heart rate, 0.60 for systolic blood pressure, 0.62 for diastolic blood pressure, 0.45 for pulse oximetry, and 0.84 for CRI. The CRI was better than standard indices in detecting mild blood loss. Single measurement of CRI may enable a more accurate triage, and CRI monitoring may allow for earlier detection of casualty deterioration.

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Year:  2014        PMID: 24667628     DOI: 10.1097/SHK.0000000000000178

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


  10 in total

1.  Development of hemorrhage identification model using non-invasive vital signs.

Authors:  Yang Chen; Joo Heung Yoon; Michael R Pinsky; Ting Ma; Gilles Clermont
Journal:  Physiol Meas       Date:  2020-06-10       Impact factor: 2.833

2.  Comparison of compensatory reserve during lower-body negative pressure and hemorrhage in nonhuman primates.

Authors:  Carmen Hinojosa-Laborde; Jeffrey T Howard; Jane Mulligan; Greg Z Grudic; Victor A Convertino
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-03-30       Impact factor: 3.619

3.  The Effect of Passive Heat Stress and Exercise-Induced Dehydration on the Compensatory Reserve During Simulated Hemorrhage.

Authors:  Daniel Gagnon; Zachary J Schlader; Amy Adams; Eric Rivas; Jane Mulligan; Gregory Z Grudic; Victor A Convertino; Jeffrey T Howard; Craig G Crandall
Journal:  Shock       Date:  2016-09       Impact factor: 3.454

4.  State-of-the-art monitoring in treatment of dengue shock syndrome: a case series.

Authors:  Steven L Moulton; Jane Mulligan; Anon Srikiatkhachorn; Siripen Kalayanarooj; Greg Z Grudic; Sharone Green; Robert V Gibbons; Gary W Muniz; Carmen Hinojosa-Laborde; Alan L Rothman; Stephen J Thomas; Victor A Convertino
Journal:  J Med Case Rep       Date:  2016-08-24

Review 5.  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

Review 6.  Central Hypovolemia Detection During Environmental Stress-A Role for Artificial Intelligence?

Authors:  Björn J P van der Ster; Yu-Sok Kim; Berend E Westerhof; Johannes J van Lieshout
Journal:  Front Physiol       Date:  2021-12-15       Impact factor: 4.566

7.  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

8.  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

9.  A wireless ultrasound patch detects mild-to-moderate central hypovolemia during lower body negative pressure.

Authors:  Jon-Émile S Kenny; Mai Elfarnawany; Zhen Yang; Andrew M Eibl; Joseph K Eibl; Chul-Ho Kim; Bruce D Johnson
Journal:  J Trauma Acute Care Surg       Date:  2022-05-21       Impact factor: 3.697

10.  Non-linear Heart Rate and Blood Pressure Interaction in Response to Lower-Body Negative Pressure.

Authors:  Ajay K Verma; Da Xu; Amanmeet Garg; Anita T Cote; Nandu Goswami; Andrew P Blaber; Kouhyar Tavakolian
Journal:  Front Physiol       Date:  2017-10-24       Impact factor: 4.566

  10 in total

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