Prediction of 90-day mortality among cancer patients with unplanned hospitalisation: a retrospective validation study of three prognostic scores
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View abstract on PubMed
Summary
This summary is machine-generated.The PROMISE score effectively predicts 90-day mortality in hospitalised cancer patients. Combining it with the CTI score (C-reactive protein-Triglyceride-Glucose Index) further enhances risk stratification for better oncologic care.
Area Of Science
- Oncology
- Clinical Epidemiology
- Biostatistics
Background
- Accurate prediction of 90-day mortality is crucial for personalized cancer care.
- Existing prognostic models often lack precision in risk stratification.
- This study evaluates the PROMISE, GRIm, and CTI scores for unplanned hospitalizations.
Purpose Of The Study
- To independently evaluate the prognostic performance of three scoring systems: PROMISE, GRIm, and CTI.
- To assess the combined PROMISE-CTI score for predicting 90-day mortality in hospitalized cancer patients.
- To determine the utility of these scores in optimizing oncologic care.
Main Methods
- Retrospective observational study of 1109 cancer patients admitted for unplanned hospitalizations.
- Calculation of PROMISE, GRIm, and CTI scores using established methodologies.
- Statistical analysis including logistic regression and ROC curve analysis to evaluate predictive performance.
Main Results
- High PROMISE and CTI scores were significantly associated with increased 90-day mortality.
- The PROMISE-CTI Combined score demonstrated excellent discriminatory performance (AUC = 0.884).
- The PROMISE-CTI Combined score achieved high accuracy (86.7%), sensitivity (92.4%), and specificity (81.1%).
Conclusions
- The PROMISE score shows strong predictive ability for 90-day mortality in hospitalized cancer patients.
- Integrating the CTI score into the PROMISE score improves risk stratification.
- The PROMISE-CTI Combined score is a potentially valuable tool for short-term prognostic assessment.
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