Arch Surg Chicago
-
To determine if a pressure dressing containing fibrinogen and thrombin could provide more effective control of arterial hemorrhage than a pressure dressing alone in an animal model of arterial injury. ⋯ Bandages containing fibrinogen and thrombin significantly reduced the amount of blood loss and allowed mean arterial pressures to be maintained in animals with uncontrolled hemorrhage from femoral artery lacerations. A hemostatic bandage may be an important adjuvant for controlling severe extremity hemorrhage in the prehospital setting.
-
Comparative Study
Predictive accuracy of the TRISS survival statistic is improved by a modification that includes admission pH.
To determine if pH measured at the time of hospital admission and corrected for PCO2 was an independent predictor of trauma survival. ⋯ The arterial pH measurement obtained on hospital arrival and corrected for PCO2 is a significant independent predictor of survival and adds to the predictive accuracy of the TRISS survival statistic. Age, sex, and the extremity and soft tissue components of the AIS85 did not contribute to the accuracy of the TRISS statistic in this patient population.
-
To describe the current indications and operative outcomes of pancreatic resection. ⋯ Current indications for pancreatic resection have expanded. These procedures are associated with a low risk for death and postoperative complications when performed in a high-volume setting.
-
Comparative Study
A comparison of four severity-adjusted models to predict mortality after coronary artery bypass graft surgery.
To assess the validity of four severity-adjusted models to predict mortality following coronary artery bypass graft surgery by using an independent surgical database. ⋯ The currently used coronary artery bypass graft predictive models, although generally accurate, have significant shortcomings and should be used with caution. The predicted mortality rate following coronary artery bypass graft surgery varied by a factor of 3.3 from lowest to highest, making the choice of model a critical factor when assessing outcome. The use of these models for individual patient risk estimations is risky because of the marked discrepancies in individual predictions created by each model.