Prediction of 90-day mortality among cancer patients with unplanned hospitalisation: a retrospective validation study of three prognostic scores.

ABSTRACT:

Background

Accurate prediction of 90-day mortality in hospitalised cancer patients is critical for guiding personalised treatment decisions and optimising oncologic care. However, existing prognostic models often lack sufficient precision, particularly in distinguishing between high- and low-risk patients. In this retrospective study, we independently evaluated the prognostic performance of three scoring systems-the Prognostic Score for Hospitalised Cancer Patients (PROMISE), the Gustave Roussy Immune (GRIm) score, and the C-reactive protein-Triglyceride-Glucose Index (CTI)-in patients admitted for unplanned hospitalisations.

Methods

This retrospective observational study was conducted at the Medical Oncology Clinic of Ankara Etlik City Hospital, Turkey, and included patient

SUBMITTER: Uyar GC 

PROVIDER: S-EPMC12266187 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature