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Development and Internal Validation of the Palliative Metabolic Risk Score (PMRS) for Predicting Critical Outcome in
Muhammet Fatih Şahin1, Ali Erol2
1Department of Internal Medicine, Kestel State Hospital, 16100 Bursa, Türkiye.
Healthcare (Basel, Switzerland)
|May 4, 2026
Summary
Acute physiological instability, not diabetes mellitus, drives critical outcomes in palliative patients. Key predictors include hyperglycemia, elevated C-reactive protein (CRP), low albumin, and oxygen needs, offering better prognostic insights.
Area of Science:
- Palliative Care Medicine
- Internal Medicine
- Clinical Chemistry
Background:
- In-hospital critical outcomes are high in palliative patients, often due to acute instability.
- Diabetes Mellitus (DM) is common but its independent impact on critical outcomes is unclear.
- This study investigates acute metabolic and inflammatory markers as predictors of critical outcomes.
Purpose of the Study:
- To determine if acute metabolic and inflammatory markers predict short-term outcomes better than DM status alone in palliative inpatients.
- To identify key physiological markers for predicting in-hospital critical outcomes or ICU transfer.
- To assess the prognostic value of glucose, CRP, albumin, and oxygen requirement.
Main Methods:
- Retrospective study of 200 palliative inpatients (Jan 2024-Jan 2025).
- Data collected: demographics, clinical information, laboratory results (glucose, CRP, albumin).
- Logistic regression and ROC analyses used to identify predictors and optimal thresholds.
Main Results:
- DM (30.5%) did not independently predict critical outcomes (p=0.904).
- Significant predictors: oxygen requirement (OR=4.08), glucose (OR=1.01), and cancer (OR=3.28).
- Optimal thresholds: CRP > 64.1 mg/L, albumin < 25 g/L; risk stratification showed increasing critical outcome rates (39.0% to 85.4%).
Conclusions:
- Acute metabolic and inflammatory markers (hyperglycemia, elevated CRP, hypoalbuminemia, oxygen need) are stronger predictors than DM.
- These markers can improve prognostic accuracy in palliative care.
- A simple bedside model using these parameters may enhance patient communication and care planning.
