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Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and public health interest. This analysis introduces flexible statistical methods for estimating center-level effects on individual outcomes in the context of highly variable patient populations, such as those of the PRospective, Observational, Multi-center Major Trauma Transfusion study. Ten US level I trauma centers enrolled a total of 1,245 trauma patients who survived at least 30 minutes after admission and received at least one unit of red blood cells. Outcomes included death, multiple organ failure, substantial bleeding, and transfusion of blood products. The centers involved were classified as either large or small-volume based on the number of massive transfusion patients enrolled during the study period. We focused on estimation of parameters inspired by causal inference, specifically estimated impacts on patient outcomes related to the volume of the trauma hospital that treated them. We defined this association as the change in mean outcomes of interest that would be observed if, contrary to fact, subjects from large-volume sites were treated at small-volume sites (the effect of treatment among the treated). We estimated this parameter using three different methods, some of which use data-adaptive machine learning tools to derive the outcome models, minimizing residual confounding by reducing model misspecification. Differences between unadjusted and adjusted estimators sometimes differed dramatically, demonstrating the need to account for differences in patient characteristics in clinic comparisons. In addition, the estimators based on robust adjustment methods showed potential impacts of hospital volume. For instance, we estimated a survival benefit for patients who were treated at large-volume sites, which was not apparent in simpler, unadjusted comparisons. By removing arbitrary modeling decisions from the estimation process and concentrating on parameters that have more direct policy implications, these potentially automated approaches allow methodological standardization across similar comparativeness effectiveness studies. [ABSTRACT FROM AUTHOR]

Background: We sought to determine whether aggressive resuscitation in trauma patients presenting without vital signs, or "dead on arrival," was futile. We also sought to determine whether organ donation was an unexpected benefit of aggressive resuscitation.Study Design: We conducted a review of adults presenting to our Level I trauma center with no signs of life (pulse = 0 beats/min; systolic blood pressure = 0 mmHg; and no evidence of neurologic activity, Glasgow Coma Scale score = 3). Primary end point was survival to hospital discharge or major organ donation (ie heart, lung, kidney, liver, or pancreas were harvested). We compared our survival rates with those of the National Trauma Data Bank in 2012. Patient demographics, emergency department vital signs, and outcomes were analyzed.Results: Three hundred and forty patients presented with no signs of life to our emergency department after injury (median Injury Severity Score = 40). There were 7 survivors to discharge, but only 5 (1.5%) were functionally independent (4 were victims of penetrating trauma). Of the 333 nonsurvivors, 12 patients (3.6%) donated major organs (16 kidneys, 2 hearts, 4 livers, and 2 lungs). An analysis of the National Trauma Data Bank yielded a comparable survival rate for those presenting dead on arrival, with an overall survival rate of 1.8% (100 of 5,384); 2.3% for blunt trauma and 1.4% for penetrating trauma.Conclusions: Trauma patients presenting dead on arrival rarely (1.5%) achieve functional independence. However, organ donation appears to be an under-recognized outcomes benefit (3.6%) of the resuscitation of injury victims arriving without vital signs. [ABSTRACT FROM AUTHOR]

Abstract: Background: Tight glucose control (TGC) may reduce mortality in critically ill trauma patients. We hypothesize that euglycemia is beneficial, and a measure considering time and degree of hyperglycemia is most associated with mortality. Methods: We performed a review of intensive care unit trauma patients admitted for more than 3 days between January 2005 and December 2007 on a TGC protocol with a goal of 80 to 110 mg/dL. Hyperglycemic, hypoglycemic, and euglycemic time ranges, and area of interpolated curves above and below 80 to 110 mg/dL were assessed. Associations with mortality were based on logistic regression models adjusted for age, injury severity score, and admission Glasgow Coma Scale score. Results: A total of 546 patients were identified, and 68 (13%) died. Time spent as hyperglycemic (P = .29) and hyperglycemic area under the curve (P = .58) were not associated with mortality; hyperglycemic area/time (P = .01) was associated with mortality. Regarding hypoglycemia, area over the curve (P = .009) and time spent as hypoglycemic (P = .002) were associated with mortality. Conclusions: TGC prevents prolonged, high degrees of hyperglycemia; avoiding hypoglycemia likely provides mortality benefit for trauma patients. [ABSTRACT FROM AUTHOR]

Abstract: Background: Level III trauma centers are an effective component of a healthy trauma system. This study examined the effectiveness over time of a Level III trauma center in a predominately rural region. Methods: For analysis, the data were divided into 2 equal time spans: an early period (1997–2002) and a late period (2003–2008). A dedicated trauma service was implemented in 2003. Results: A total of 8,689 patient outcomes were analyzed. In those patients with an injury severity score of 15 or less, 49 of 3,307 (1.5%) patients died in the early period, and 74 of 4,244 (1.7%) died in the late period (P = .40). In those with an injury severity score greater than 15, 66 of 402 patients (16.4%) died in the early period, whereas 81 of 736 (11.0%) patients died in the late period (P = .01). Despite the increased injury severity, overall mortality rates remained unchanged. Conclusions: Implementation of a full-time trauma service resulted in improved outcomes including a 33% mortality reduction in the severely injured. [ABSTRACT FROM AUTHOR]