Prediction of Next-Day Survival in Imminently Dying Cancer Patients: A Multicenter Cohort Study

• Published in: Journal of palliative medicine Vol. 28; no. 3; p. 345
• Main Authors: Mori, Masanori, Yamaguchi, Takuhiro, Maeda, Isseki, Hatano, Yutaka, Chiu, Shih-Wei, Yamaguchi, Takashi, Imai, Kengo, Yokomichi, Naosuke, Otani, Hiroyuki, Hamano, Jun, Tsuneto, Satoru, Hui, David, Morita, Tatsuya
• Format: Journal Article
• Language: English
• Published: United States 01.03.2025
• Subjects: Aged; Aged, 80 and over; Cohort Studies; Female; Humans; Japan; Male; Middle Aged; Neoplasms - mortality; Palliative Care; Prognosis; Prospective Studies; Terminal Care; Japan; next-day survival; prediction; advanced cancer; impending death; clinical signs
• ISSN: 1557-7740
• DOI: 10.1089/jpm.2024.0334

Accurate prediction of next-day survival in imminently dying patients is crucial for facilitating timely end-of-life decisions. To develop diagnostic models for predicting next-day survival in cancer patients with a Palliative Performance Scale (PPS) score of ≤20. A multicenter, prospective, observational study. We enrolled advanced cancer patients at 23 palliative care units across Japan. Clinical signs of impending death were recorded daily after patients' PPS scores decreased to ≤20, continuing until death or for up to 14 days. The developed models included the prediction of one-day survival-decision tree (P1d-Survival-DT), based on recursive partitioning analysis, the P1d-Survival-organ system score, which utilized a scoring system across four clinical systems (nervous/cardiovascular/respiratory/musculoskeletal), and the early signs model that focused on the absence of two early signs (altered consciousness and liquid dysphagia). Of the 1896 patients included in the study, 1396 (74%) reached PPS ≤20. The average age was 73 ± 12 years, with 49% being female. The P1d-Survival-DT model showed next-day survival rates of 91.6% for patients with a response to verbal stimuli and no peripheral cyanosis, and 37.1% for those with no response to verbal stimuli and respiration with mandibular movement. The P1d-Survival-organ system score model revealed a 95.9% survival rate for score = 0, decreasing progressively to 46.7% for score = 4. The early signs model predicted a 95.2% survival rate in patients with normal consciousness and no liquid dysphagia. This study successfully developed three distinct models to predict next-day survival in cancer patients with PPS ≤20, offering vital tools for informed decision making in palliative care settings.