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Stratification of the severity of critically ill patients with classification trees

DOI: 10.1186/1471-2288-9-83

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Abstract:

Retrospective study of 2864 patients. Random partition (70:30) into a Development Set (DS) n = 1808 and Validation Set (VS) n = 808. Their properties of discrimination are compared with the ROC curve (AUC CI 95%), Percent of correct classification (PCC CI 95%); and the calibration with the Calibration Curve and the Standardized Mortality Ratio (SMR CI 95%).CTs are produced with a different selection of variables and decision rules: CART (5 variables and 8 decision rules), CHAID (7 variables and 15 rules) and C4.5 (6 variables and 10 rules). The common variables were: inotropic therapy, Glasgow, age, (A-a)O2 gradient and antecedent of chronic illness. In VS: all the models achieved acceptable discrimination with AUC above 0.7. CT: CART (0.75(0.71-0.81)), CHAID (0.76(0.72-0.79)) and C4.5 (0.76(0.73-0.80)). PCC: CART (72(69-75)), CHAID (72(69-75)) and C4.5 (76(73-79)). Calibration (SMR) better in the CT: CART (1.04(0.95-1.31)), CHAID (1.06(0.97-1.15) and C4.5 (1.08(0.98-1.16)).With different methodologies of CTs, trees are generated with different selection of variables and decision rules. The CTs are easy to interpret, and they stratify the risk of hospital mortality. The CTs should be taken into account for the classification of the prognosis of critically ill patients.Stratifying the patients into risk groups, according to their severity, is essential for the comparison of treatments and the establishment of differences between different units or hospital centres. As a result, working in an intensive care unit (ICU) necessitates making prognoses for patients within the first 24 hours of their admission. Establishing a prognosis consists of assigning a probability of death by using variables commonly used for the diagnosis and treatment of critically ill patients [1].Severity scores are classic tools used in establishing this probability. The most commonly used scores are the APACHE II (Acute Physiology and Chronic Health Evaluation II), the SAPS II (Simplified Acute

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