Shock : molecular, cellular, and systemic pathobiological aspects and therapeutic approaches : the official journal the Shock Society, the European Shock Society, the Brazilian Shock Society, the International Federation of Shock Societies
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To date, no studies have attempted to utilize data from a combination of vital signs, heart rate variability and complexity (HRV, HRC), as well as machine learning (ML), for identifying the need for lifesaving interventions (LSIs) in trauma patients. The objectives of this study were to examine the utility of the above for identifying LSI needs and compare different LSI-associated models, with the hypothesis that an ML model would be superior in performance over multivariate logistic regression models. One hundred four patients transported from the injury scene via helicopter were selected for the study. ⋯ Likewise, ROC curves demonstrated better identification for LSIs using GCS and HRC (AUC of 0.94) than using GCS and HR (AUC of 0.92). Importantly, ROC curves demonstrated that an ML model using HR, GCS, and HRC (AUC of 0.99) had superior performance over multivariate logistic regression models for identifying the need for LSIs in trauma patients. Development of computer decision support systems should utilize vital signs, HRC, and ML in order to achieve more accurate diagnostic capabilities, such as identification of needs for LSIs in trauma patients.
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Comparative Study
The Value of non-invasive Measurement of the Compensatory Reserve Index in Monitoring and Triage of Patients Experiencing Minimal Blood Loss.
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. ⋯ 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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Serum cholesterol procalcitonin (PCT) and C-reactive protein (CRP) levels were measured consecutively in 76 critically ill patients at admission to the intensive care unit. The presence of infection was defined according to the CDC (Centers for Disease Control and Prevention) criteria; in-house mortality, underlying diseases, and severity of sepsis were monitored. ⋯ In a control group without infection, no difference of cholesterol, PCT, or CRP was found between survivors and nonsurvivors. Our data show that low cholesterol levels in patients with infectious disease have a prognostic value and may be useful markers to identify high-risk patients already at admission.
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The practical value of blood cultures in the diagnosis of sepsis is impaired by a delay in the turnaround time to result and by the fact that blood culture positive can be found for only about 30% of these patients. Conventional laboratory signs of sepsis and acute phase protein biomarkers are sensitive and easy to use, but often also very nonspecific. Molecular diagnostic reflects currently the most promising avenue to decrease time to result and to influence decision making for antibiotic therapy in the septic host. ⋯ We have evaluated prospectively 830 adult patients with suspected bloodstream infection and at least two criteria of systemic inflammatory response syndrome. In more than 50% of critically ill patients strongly suspected of having sepsis, we arrived to an etiological diagnosis only by the molecular method in a median time of 15 h, with specificity and predictive positive values of 96% and 94%, respectively. We highlight the role of DNAemia as time-critical, high-specificity, etiological, non-culture-based rule-in diagnostic biomarker in patients with presumed sepsis.
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The bacterial infection following thermal injury is a very important factor of excessive inflammatory response and multiple organ damage. Muramyl dipeptide (MDP) is the key structure of gram-positive bacteria and gram-negative bacteria triggering the innate immune system. The aim of the present study was to determine the effect of MDP on thermal injury-induced inflammatory responses, organ function injury, and mortality in rats. ⋯ Plasma levels of interleukin-6, interleukin-10, interferon-γ, and high-mobility group box 1; the white blood cell counts; the serum concentrations of alanine aminotransferase, aspartate aminotransferase, total bilirubin, creatine kinase isoenzyme-MB, blood urea nitrogen, and creatinine; and the activity of lung tissue myeloperoxidase significantly increased after thermal injury alone. Compared with the scald group, MDP led to more serious inflammatory responses and organ function damage and higher mortality (P < 0.05, respectively). These data indicate that MDP exacerbates thermal injury-induced inflammatory cytokine production, accompanied by multiple organ dysfunction syndrome and high mortality in rats.