J Trauma
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Randomized Controlled Trial Clinical Trial
Prostaglandin E1 inhibits platelet decrease after massive blood transfusions during major surgery: influence on coagulation cascade?
A plunge in platelet count if often observed after massive blood transfusions during major surgery. This study was designed to assess whether the prophylactic administration of prostaglandin E1 (PGE1) might prevent this drop in platelet count. ⋯ In our study, the administration of PGE1 prevented a reduction in platelet count. Furthermore, measurements of clotting activity furnished the possibility that PGE1 might inhibit transfusion-induced coagulation disturbances. We recommend that PGE1 should be considered in patients requiring massive transfusion during major surgery.
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Comparative Study
Resuscitation from hemorrhagic shock with diaspirin cross-linked hemoglobin, blood, or hetastarch.
An oxygen-transporting hemoglobin solution should be more effective than a nonhemoglobin solution for resuscitation from hemorrhagic shock. A way to evaluate this effectiveness is to determine whether a hemoglobin solution can reverse the base deficit accumulated during hemorrhage at a faster rate than a nonhemoglobin solution. Using this criterion, we compared the resuscitative powers of autologous blood, hetastarch (Het), and diaspirin cross-linked hemoglobin (DCLHb). ⋯ Based on the rate of base deficit correction and the volume of solution required, autologous blood was the most effective resuscitation solution. However, DCLHb was more effective than Het. DCLHb may be an attractive alternative to blood for resuscitation from hemorrhagic shock.
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Scapulothoracic dissociation is an infrequent injury with a potentially devastating outcome. The diagnosis has heretofore relied on the radiographic description of the forequarter disruption. Recent experience with four patients at a single trauma center, along with review of 54 injuries adequately described in the literature, indicates a broader spectrum of injury. ⋯ Identification of this injury requires clinical suspicion, based upon the injury mechanism and physical findings, to accurately assess the degree of trauma to musculoskeletal, neurologic, and vascular structures. Based upon these clinical findings, a rational approach to diagnostic techniques, injury classification, and appropriate surgical intervention can be achieved. Outcome is dependent on early recognition of the subset of patients with injuries amenable to surgical treatment and rehabilitation.
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Comparative Study
Comparison of the Injury Severity Score and ICD-9 diagnosis codes as predictors of outcome in injury: analysis of 44,032 patients.
Appropriate stratification of injury severity is a critical tool in the assessment of the treatment and the prevention of injury. Since its inception, the Injury Severity Score (ISS) has been the generally recognized "gold standard" for anatomic injury severity assessment. However, there is considerable time and expense involved in the collection of the information required to calculate an accurate ISS. In addition, the predictive power of the ISS has been shown to be limited. Previous work has demonstrated that the anatomic information about injury contained in the International Classification of Diseases Version 9 (ICD-9) can be a significant predictor of survival in trauma patients. The goal of this study was to utilize the San Diego County Trauma Registry (SDTR), one of the nation's leading trauma registries, to compare the predictive power of the ISS with the predictive power of the information contained in the injured patients' ICD-9 diagnoses codes. It was our primary hypothesis that survival risk ratios derived from patients' ICD-9 diagnoses codes would be equal or better predictors of survival than the Injury Severity Score. The implications of such a finding would have the potential for significant cost savings in the care of injured patients. ⋯ The present study confirms previous work showing that survival risk ratios derived from injured patients' ICD-9 diagnoses codes are as good as or better than ISS as predictors of survival.