Browsing by Subject "ORGAN DYSFUNCTION"

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    THE PATIENT-SPECIFIC INJURY SCORE: PRECISION MEDICINE IN TRAUMA PATIENTS PREDICTS ORGAN DYSFUNCTION AND OUTCOMES
    (Office of the Vice Chancellor for Research, 2016-04-08) Metzger, C.; McCarroll, T.; Bakdash, K.; Zarzaur, B.; Steenberg, S.; Cutshall, A.; Brown, K.; Savage, S.; McKinley, T.O.; Gaski, G.E.
    Introduction: Current injury scoring systems in polytraumatized patients are limited at predicting patient outcomes. We present a novel method that quantifies mechanical tissue damage and cumulative hypoperfusion using a precision medicine approach. We hypothesized that a Patient-Specific Injury score formulated from individualized injury indices would stratify patient risk for developing organ dysfunction after injury. We compared correspondence between PSI and the Injury Severity Score with outcomes of organ dysfunction and MOF. Methods: Fifty Multiply-injured-patients (MIPs) were studied. Tissue Damage Volume scores were measured from admission pan-axial CT scans using purpose-designed post-processing software to quantify volumetric magnitude and distribution of injuries. Ischemic injury was quantified using Shock Volumes. SV is a time-magnitude integration of shock index. Values above 0.9 were measured in the 24-hours after injury. Metabolic response was quantified by subtracting the lowest first 24 hr pH from 7.40. PSI combines these indices into the formula: PSI=[0.2TDV+SV]*MR. Correspondence coefficients from regression modeling between PSI and organ dysfunction, measured by the Marshall Multiple Organ Dysfunction score averaged from days 2-5 post-injury, were compared to similar regression models of ISS vs. day 2-5 MOD-scores. We compared PSI and ISS in patients that did or did not develop MOF. Results: PSI demonstrated better correlation to organ dysfunction (r2=0.576) in comparison to ISS (r2=0.393) using the MOD-score on days 2-5. Mean PSI increased 3.4x(58.5vs.17.0;p<0.02) and ISS scores increased 1.4x(39.0vs.28.0;p=0.10) in patients that developed MOF versus those that did not. Conclusions: This study shows that a precision medicine approach that integrates patient-specific indices of mechanical tissue damage, ischemic tissue injury, and metabolic response better corresponds to phenotypic changes including organ dysfunction and MOF compared to ISS in MIPs. The PSI-score can be calculated within 24 hours of injury, making it useful for stratifying risk and predicting the magnitude of organ dysfunction to anticipate.
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    SHOCK VOLUME: A PRECISION MEDICINE BASED INDEX THAT PREDICTS TRANSFUSION REQUIREMENTS AND ORGAN DYSFUNCTION IN MULTIPLY INJURED PATIENTS
    (Office of the Vice Chancellor for Research, 2016-04-08) McCarroll, Tyler; Metzger, Cameron; Bakdash, Kenaz; Gaski, Greg E.; McKinley, Todd O.
    Introduction: Multiply injured patients (MIPs) in hemorrhagic shock develop oxygen debt, which causes organ dysfunction and can lead to death. Clinicians monitor hypoperfusion by interpreting progression of traditional hemodynamic measures along with serum markers of hypoperfusion, which reflect current hemodynamic and metabolic status. However, these indices are sampled at discrete time points and poorly reflect cumulative hypoperfusion. Shock Volume (SV) is a novel, non-invasive, patient-specific index developed to quantify cumulative hypoperfusion. SV integrates the time and magnitude of shock index (Heart Rate/Systolic Blood Pressure) values above 0.9 (known threshold of hypoperfusion) using serial individual vital sign data. SV can be monitored in real time to assess ongoing hypoperfusion. The goal of this study was to determine how SV corresponded to transfusion requirements and organ dysfunction. Methods: SV was measured in six hour increments for 48 hours after injury in a retrospective cohort of 74 MIPs (18-65; Injury Severity Score > 18). SV was compared to base deficit (BD) in predicting mass transfusions (MT) and critical administration transfusions (CATs). Presence of multiple organ failure (MOF) was determined using the Denver Organ Failure assessment score, while Sequential Organ Failure Assessment scores were used to determine magnitude of organ dysfunction. Results: Patients who had accumulated 40 units of SV within six hours of injury and 100 units of SV within twelve hours of injury were at high risk for requiring MT or multiple CATs. SV measurements were equally sensitive and specific as compared to BD values in predicting transfusions. SV measurements at six hours after injury stratified patients at risk for MOF and corresponded to the magnitude of organ failure. Conclusions: SV is a patient-specific index that can be quantified in real-time in critically injured patients. SV is a non-invasive surrogate for cumulative hypoperfusion and predicts high volume transfusions and organ dysfunction.