• Sang-Yeon Suh, Youn Seon Choi, Jae Yong Shim, Young Sung Kim, Chang Hwan Yeom, Daeyoung Kim, Shin Ae Park, Sooa Kim, Ji Yeon Seo, Su Hyun Kim, Daegyeun Kim, Sung-Eun Choi, and Hong-Yup Ahn.
• Department of Family Medicine, Dongguk University Ilsan Hospital, Goyang-si, Gyeonggi-do, South Korea.
• Support Care Cancer. 2010 Feb 1; 18 (2): 151-7.

Goals Of WorkThe goal of this study was to develop a new, objective prognostic score (OPS) for terminally ill cancer patients based on an integrated model that includes novel objective prognostic factors.Materials And MethodsA multicenter study of 209 terminally ill cancer patients from six training hospitals in Korea were prospectively followed until death. The Cox proportional hazard model was used to adjust for the influence of clinical and laboratory variables on survival time. The OPS was calculated from the sum of partial scores obtained from seven significant predictors determined by the final model. The partial score was based on the hazard ratio of each predictor. The accuracy of the OPS was evaluated.Main ResultsThe overall median survival was 26 days. On the multivariate analysis, reduced oral intake, resting dyspnea, low performance status, leukocytosis, elevated bilirubin, elevated creatinine, and elevated lactate dehydrogenase (LDH) were identified as poor prognostic factors. The range of OPS was from 0.0 to 7.0. For the above cutoff point of 3.0, the 3-week prediction sensitivity was 74.7%, the specificity was 76.5%, and the overall accuracy was 75.5%.ConclusionsWe developed the new OPS, without clinician's survival estimates but including a new prognostic factor (LDH). This new instrument demonstrated accurate prediction of the 3-week survival. The OPS had acceptable accuracy in this study population (training set). Further validation is required on an independent population (testing set).

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