• Márcio Soares and Jorge I F Salluh.
• Instituto Nacional de Câncer - INCA, Centro de Tratamento Intensivo, 10o Andar, Pça. Cruz Vermelha, 23, 20230-130, Rio de Janeiro, RJ, Brazil. marciosoaresms@yahoo.com.br
• Intensive Care Med. 2006 Nov 1;32(11):1839-44.

ObjectivesTo validate the SAPS 3 admission prognostic model in patients with cancer admitted to the intensive care unit (ICU).DesignCohort study.SettingTen-bed medical-surgical oncologic ICU.Patients And ParticipantsNine hundred and fifty-two consecutive patients admitted over a 3-year period.InterventionsNone.Measurements And ResultsData were prospectively collected at admission of ICU. SAPS II and SAPS 3 scores with respective estimated mortality rates were calculated. Discrimination was assessed by area under receiver operating characteristic (AUROC) curves and calibration by Hosmer-Lemeshow goodness-of-fit test. The mean age was 58.3+/-23.1 years; there were 471 (49%) scheduled surgical, 348 (37%) medical and 133 (14%) emergency surgical patients. ICU and hospital mortality rates were 24.6% and 33.5%, respectively. The mean SAPS 3 and SAPS II scores were 52.3+/-18.5 points and 35.3+/-20.7 points, respectively. All prognostic models showed excellent discrimination (AUROC>or=0.8). The calibration of SAPS II was poor (p<0.001). However, the calibration of standard SAPS 3 and its customized equation for Central and South American (CSA) countries were appropriate (p>0.05). SAPS II and standard SAPS 3 prognostic models tended somewhat to underestimate the observed mortality (SMR>1). However, when the customized equation was used, the estimated mortality was closer to the observed mortality [SMR=0.95 (95% CI=0.84-1.07)]. Similar results were observed when scheduled surgical patients were excluded.ConclusionsThe SAPS 3 admission prognostic model at ICU admission, in particular its customized equation for CSA, was accurate in our cohort of critically ill patients with cancer.

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