Page 22 - Journal of Special Operations Medicine - Spring 2016
P. 22

Compensatory Reserve for Early and
                      Accurate Prediction of Hemodynamic Compromise

              Case Studies for Clinical Utility in Acute Care and Physical Performance



                        Camille L. Stewart, MD; Corinne D. Nawn, BS; Jane Mulligan, PhD;
                      Greg Grudic, PhD; Steven L. Moulton, MD; Victor A. Convertino, PhD




          ABSTRACT

          Background: Humans are able to compensate for sig-  a review of traditional vital signs, especially some com-
          nificant loss of their circulating blood volume, allowing   bination of heart rate (HR), blood pressure (BP), respi-
          vital signs to remain relatively stable until compensatory   ratory rate, oxygen saturation, and mental status. These
          mechanisms are overwhelmed. The authors present sev-  vital  signs  can  prove  to  be  unreliable.   This  is  espe-
                                                                                               2–6
          eral clinical and performance case studies in an effort to   cially true for young healthy people (e.g., children, ath-
          demonstrate real-time measurements of an individual’s   letes, military personnel), who are able to compensate
          reserve to compensate for acute changes in circulat-  for comparatively larger volume losses without evidence
          ing blood volume. This measurement is referred to as   of compromise.  When individuals do decompensate,
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          the Compensatory Reserve Index (CRI). Methods: We   the process can be sudden and unpredictable. 4,7
          identified seven clinical and two physical performance
          conditions relevant to military casualty and operational   Technology to detect and track compensated hemor-
          medicine as models of intravascular volume compro-  rhage that is more sensitive and specific than “legacy”
          mise.  Retrospective  analysis  of photoplethysmogram   vital signs remains a capability gap in military emergency
          (PPG) waveform features  was used to calculate  CRI,   medicine. In an effort to address this gap, photoplethys-
          where 1 represents supine normovolemia and 0 repre-  mogram (PPG) waveform signals were recorded from
          sents hemodynamic decompensation. Results: All cases   a large cohort of healthy volunteers by investigators at
          had CRI values suggestive of volume compromise (<0.6)   the US Army Institute of Surgical Research (USAISR)
          not otherwise evident by heart rate and systolic blood   to study individual responses to hemorrhage-like reduc-
          pressure. CRI decreased with reduced central blood   tions in central blood volume.  Advanced signal pro-
                                                                                        8,9
          volume and increased with restored volume (e.g., fluid   cessing and machine-learning techniques were used by
          resuscitation). Conclusion: The results from these case   researchers at the University of Colorado to analyze the
          studies demonstrate that machine-learning techniques   entirety of millions of PPG waveforms generated during
          can be used to (1) identify a clinical or physiologic status   the USAISR experiments. This work led to the discovery
          of individuals through real-time measures of changes in   of multiple, previously unidentified waveform features,
          PPG waveform features that result from compromise to   which represent the integration of all mechanisms that
          circulating blood volume and (2) signal progression to-  enable a human to compensate for acute reductions in
          ward hemodynamic instability, with opportunity for early   central blood volume (e.g., hemorrhage, dehydration).
          and effective intervention, well in advance of changes in   This physiologic phenomenon is described as the com-
          traditional vital signs.                           pensatory reserve,  and the algorithm used to calculate
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                                                             this reserve capacity is called the Compensatory Reserve
          Keywords:  Compensatory Reserve Index; machine learn-  Index (CRI). 5,8,10  The CRI acts like a “fuel gauge,” in-
          ing; photoplethysmography; shock; testing, orthostatic;   dicating the proportion of additional circulating blood
          physical exercise                                  volume loss a patient can tolerate before the onset of
                                                             hemodynamic decompensation. CRI values range from
                                                             1 to 0 and correspond with the body’s ability to com-
                                                             pensate for acute changes in intravascular volume. 8,10
          Introduction
                                                             When a patient loses intravascular volume due to bleed-
          Continuous assessment of clinical or performance con-  ing or dehydration, the “fuel tank” begins to empty and
          sequences related to reduced circulatory blood volume   CRI goes down. We thus hypothesized that CRI values
          is one of the most difficult tasks in civilian medicine, as   would parallel changes in central blood volume status
          well as military clinical and operational medicine.  This   over time specific to individuals whose physiologic re-
                                                     1
          assessment is usually made by physical examination and   serve to compensate had been compromised. As an  initial


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