The net benefit analysis showed that all score’s aggregate value in the clinical decision when the calculated probabilities of death ranged between 10 and 40%. Calibration assessment revealed a weak correlation between the observed and expected number of cases in several thresholds of risk, calculated by each model, for both tested outcomes. Index tests were found to discriminate regular for both target conditions with a poor calibration (C statistics-intra-ICU mortality AUROCs: APACHE II 0.808, SAPS 3 0.821 and SOFA 0.797/in-hospital mortality AUROCs: APACHE II 0.772, SAPS 3 0.790 and SOFA 0.742). After, the clinical relevance of applying them was evaluated through the measurement of the net benefit of their use in the clinical decision. The process comprised the assessment of discrimination through analysis of the areas under the receiver operating characteristic curves and calibration of the prognostic models for the target conditions. This study aimed to evaluate these index tests for their prognostic accuracy for intra-ICU and in-hospital mortalities as target conditions in patients admitted to ICU after urgent or elective surgeries and to test whether they aid in decision-making. SOFA, SAPS 3 and APACHE II are prognostic scores widely used to predict mortality in ICU patients. The early postoperative period is critical for surgical patients.
0 kommentar(er)
