Literature DB >> 27058052

Specificity of Compensatory Reserve and Tissue Oxygenation as Early Predictors of Tolerance to Progressive Reductions in Central Blood Volume.

Jeffrey T Howard1, Jud C Janak, Carmen Hinojosa-Laborde, Victor A Convertino.   

Abstract

We previously reported that measurements of muscle oxygen saturation (SmO2) and the compensatory reserve index (CRI) provided earlier indication of reduced central blood volume than standard vital signs (e.g., blood pressure, heart rate, arterial oxygen saturation). In the present study, we hypothesized that the CRI would provide greater sensitivity and specificity to detect progressive decrease in central circulating blood volume compared with SmO2. Continuous noninvasive measures of CRI (calculated from feature changes in the photoplethysmographic arterial waveforms) were collected from 55 healthy volunteer subjects before and during stepwise lower body negative pressure (LBNP) to the onset of hemodynamic decompensation. Near infrared spectroscopy was used on the forearm to obtain deep SmO2, hydrogen ion concentration ([H]), and hemoglobin volume (HbT; decreases reflect vasoconstriction). CRI decreased by 97% in a linear fashion across progressive blood volume loss, with no clinically significant alterations in vital signs. The receiver operating characteristic (ROC) area under the curve (AUC) for the CRI was 0.91, with a sensitivity of 0.87 and specificity of 0.80, when predicting decompensation at progressive levels of LBNP. In comparison, SmO2, [H], and HbT had significantly lower ROC AUC, sensitivity and specificity values for detecting the same outcome. Consistent with our hypothesis, CRI detected central hypovolemia with significantly greater specificity than measures of tissue metabolism. Single measurement of CRI may enable more accurate triage, while CRI monitoring may allow for earlier detection of casualty deterioration.

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Year:  2016        PMID: 27058052     DOI: 10.1097/SHK.0000000000000632

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


  8 in total

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

Review 2.  The physiology of blood loss and shock: New insights from a human laboratory model of hemorrhage.

Authors:  Alicia M Schiller; Jeffrey T Howard; Victor A Convertino
Journal:  Exp Biol Med (Maywood)       Date:  2017-01-01

3.  Measurement of compensatory reserve predicts racial differences in tolerance to simulated hemorrhage in women.

Authors:  Megan M Wenner; Kumba Adia Hinds; Jeffrey T Howard; Corinne D Nawn; Nina S Stachenfeld; Victor A Convertino
Journal:  J Trauma Acute Care Surg       Date:  2018-07       Impact factor: 3.313

4.  Enabling the assessment of trauma-induced hemorrhage via smart wearable systems.

Authors:  Jonathan Zia; Jacob Kimball; Christopher Rolfes; Jin-Oh Hahn; Omer T Inan
Journal:  Sci Adv       Date:  2020-07-22       Impact factor: 14.136

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

6.  Lactate levels and clearance rate in neonates undergoing mechanical ventilation in Tibet.

Authors:  Dan Chen; Xiuxiu Liu; Jiujun Li
Journal:  J Int Med Res       Date:  2020-10       Impact factor: 1.671

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

  8 in total

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