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Characterizing the Risk Profiles of Intensive Care Units
Moreno, R; Hochrieser, H; Metnitz, B; Bauer, P; Metnitz, POBJECTIVE: To develop a new method to evaluate the performance of individual ICUs through the calculation and visualisation of risk profiles. METHODS: The study included 102,561 patients consecutively admitted to 77 ICUs in Austria. We customized the function which predicts hospital mortality (using SAPS II) for each ICU. We then compared the risks of hospital mortality resulting from this function with the ri...
Sepsis Mortality Prediction Based on Predisposition, Infection and Response
Moreno, R; Metnitz, B; Adler, L; Hoechtl, A; Bauer, P; Metnitz, P; SAPS 3 InvestigatorsOBJECTIVE: To empirically test, based on a large multicenter, multinational database, whether a modified PIRO (predisposition, insult, response, and organ dysfunction) concept could be applied to predict mortality in patients with infection and sepsis. DESIGN: Substudy of a multicenter multinational cohort study (SAPS 3). PATIENTS: A total of 2,628 patients with signs of infection or sepsis who stayed in the ...
Modeling in-Hospital Patient Survival During the First 28 Days After Intensive ...
Moreno, R; Metnitz, P; Metnitz, B; Bauer, P; Afonso de Carvalho, S; Hoechtl, A; SAPS 3 InvestigatorsOBJECTIVE: The objective of the study was to develop a model for estimating patient 28-day in-hospital mortality using 2 different statistical approaches. DESIGN: The study was designed to develop an outcome prediction model for 28-day in-hospital mortality using (a) logistic regression with random effects and (b) a multilevel Cox proportional hazards model. SETTING: The study involved 305 intensive care unit...
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