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- W2886744947 abstract "Abstract Objective To improve the accuracy of the Acute Physiology and Chronic Health Evaluation (APACHE) II model for predicting hospital mortality in critically ill cancer patients. Materials and methods This was a prospective cohort study of 522 patients admitted to ICU with a solid tumor. We developed the “APACHE II score for critically ill patients with a solid tumor” (APACHE IICCP score), in which typical variables of critically ill cancer patients were added to general APACHE II score. Calibration and discrimination were evaluated by Hosmer–Lemeshow test (H–L) and area under receiver operating characteristic curve (AROC), respectively. The improvement in predicting hospital mortality with the new model was assessed using a reclassification analysis by integrated discrimination improvement (IDI), net reclassification improvement (NRI; cut-off point of 20% in risk of death) and quantitative NRI (qNRI). Results The hospital mortality rate was 13%. Discrimination was superior for APACHE IICCP score (AROC = 0.91 [95% CI 0.87–0.94; p Conclusions The performance of APACHE IICCP score was superior to that observed for general APACHE II score in predicting mortality in critically ill patients with a solid tumor. Other studies validating this new predictive model are required." @default.
- W2886744947 created "2018-08-22" @default.
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- W2886744947 date "2018-10-01" @default.
- W2886744947 modified "2023-10-03" @default.
- W2886744947 title "APACHE II score for critically ill patients with a solid tumor: A reclassification study" @default.
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- W2886744947 doi "https://doi.org/10.1016/j.redare.2018.07.002" @default.
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