Comparison of Survival Prognostic Tools in Terminal-stage Tumor Patients: A Multicenter Prospective Cohort Study

Author:

Cheng Ziluo1,Yin Xiaoli2,Zhou Yuxin3,Wang Yeping4,Mei Zhen4,Wu Yanping5

Affiliation:

1. Southeast University

2. Nanjing Xiaohang Hospital

3. Cicely Saunders Institute,Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care,King's College London

4. Jiangsu cancer Hospital

5. ZhongDa Hospital Southeast University

Abstract

Abstract

Purpose Previous studies have discussed the effectiveness of the Karnofsky Performance Scale (KPS), Palliative Performance Scale (PPS), Palliative Prognostic Index (PPI), and Delirium-Palliative Prognostic Score (D-PaP) in predicting the survival of patients with terminal-stage tumor, but their effectiveness in the Chinese terminal-stage tumor population still needs to be explored. Therefore, we conducted this prospective cohort study to investigate the applicability of KPS, PPS, PPI, and D-PaP in predicting survival in Chinese patients with terminal-stage tumors. Methods This is a prospective cohort study that collected data from 286 terminal-stage tumor patients across four medical institutions in China from September 2020 to October 2023. The feasibility of using KPS, PPS, PPI, and D-PaP to predict 7-day and 30-day survival in terminal-stage tumor patients was discussed using receiver operating characteristic (ROC) curves. The differences in survival among terminal-stage tumor patients using new cut-off values for the four survival prognostic tools were discussed using Kaplan-Meier survival curves. Results The study ultimately included 286 patients with terminal-stage tumor, with an overall median survival of 8 days. For the prediction of the 30-day survival, the area under the ROC curve of KPS, PPS, PPI, and D-PaP were 0.783 (95% CI 0.687–0.878), 0.756 (0.658–0.855), 0.759 (0.655–0.862), and 0.872 (0.784–0.959), respectively. The optimal cut-off values were 25 for KPS, 35 for PPS, 3.75 for PPI, and 8.25 for D-PaP. Their corresponding sensitivity was 62.2%, 76%, 67.9%, and 88.5%, while their specificity was 83.3%, 70.8%, 75%, and 83.3%, respectively. Conclusion KPS, PPS, PPI, and D-PaP are all effective in predicting survival in Chinese patients with terminal-stage tumors. Particularly, D-PaP is the most suitable for predicting 30-day survival.

Publisher

Research Square Platform LLC

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