Literature DB >> 34269439

Compensatory reserve detects subclinical shock with more expeditious prediction for need of life-saving interventions compared to systolic blood pressure and blood lactate.

Victor A Convertino1,2, Michael C Johnson3, Abdul Alarhayem3, Susannah E Nicholson3, Kevin K Chung2, Mark DeRosa3, Brian J Eastridge3.   

Abstract

INTRODUCTION: We conducted a prospective observational study on 205 trauma patients at a level I trauma facility to test the hypothesis that a compensatory reserve measurement (CRM) would identify higher risk for progression to shock and/or need a life-saving interventions (LSIs) earlier than systolic blood pressure (SBP) and blood lactate (LAC).
METHODS: A composite outcome metric included blood transfusion, procedural LSI, and mortality. Discrete measures assessed as abnormal (ab) were SBP <90 mmHg, CRM <60%, and LAC >2.0. A graded categorization of shock was defined as: no shock (normal [n] SBP [n-SBP], n-CRM, n-LAC); sub-clinical shock (ab-CRM, n-SBP, n-LAC); occult shock (n-SBP, ab-CRM, ab-LAC); or overt shock (ab-SBP, ab-CRM, ab-LAC).
RESULTS: Three patients displayed overt shock, 53 displayed sub-clinical shock, and 149 displayed no shock. After incorporating lactate into the analysis, 86 patients demonstrated no shock, 25 were classified as sub-clinical shock, 91 were classified as occult shock, and 3 were characterized as overt shock. Each shock subcategory revealed a graded increase requiring LSI and transfusion. Initial CRM was associated with progression to shock (odds ratio = 0.97; p < .001) at an earlier time than SBP or LAC.
CONCLUSIONS: Initial CRM uncovers a clinically relevant subset of patients who are not detected by SBP and LAC. Our results suggest CRM could be used to more expeditiously identify injured patients likely to deteriorate to shock, with requirements for blood transfusion or procedural LSI.
© 2021 AABB. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Entities:  

Keywords:  compensation; oxygen delivery; shock categorization; traumatic hemmorhage

Year:  2021        PMID: 34269439     DOI: 10.1111/trf.16494

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  1 in total

1.  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

  1 in total

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