Prediction of In-Hospital Mortality of Patients With Advanced Cancer Using the Chuang Prognostic Score

Abstract

The prediction of in-hospital mortality may help in improving end-of-life care for patients dying of cancer. The Chuang Prognostic Score (CPS) was developed to predict survival of terminally ill patients with cancer. The CPS was assessed in 61 hospitalized adult patients with advanced cancer. Using a CPS cutoff point of ≥6, in-hospital mortality was predicted with 71% positive predictive value, 91% negative predictive value, 75% sensitivity, 89% specificity, and 85% overall accuracy. The patients were divided according to the CPS score into 3 groups (Group 1: CPS < 3.5, Group 2: CPS ≥ 3.5-<6, and Group 3: CPS ≥ 6) with a median survival of not reached, 118 days, and 16 days, respectively ( P < .001). The CPS may be useful in predicting in-hospital mortality of hospitalized patients with advanced cancer.