JHSM

Journal of Health Sciences and Medicine (JHSM) is an unbiased, peer-reviewed, and open access international medical journal. The Journal publishes interesting clinical and experimental research conducted in all fields of medicine, interesting case reports, and clinical images, invited reviews, editorials, letters, comments, and related knowledge.

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Original Article
The Prognostic Nutritional Index as a predictor of in-hospital mortality in geriatric intensive care patients
Aims: This study aimed to evaluate the prognostic value of the Prognostic Nutritional Index (PNI) in predicting in-hospital mortality among geriatric patients admitted to the intensive care unit (ICU).
Methods: This single-center, retrospective cohort study included 337 patients aged ?65 years who were admitted to the ICU between June and December 2024. Patients were divided into two groups based on clinical outcomes: survivors and non-survivors. Demographic data, comorbidities, clinical outcomes, and laboratory values including serum albumin and lymphocyte count were analyzed. PNI was calculated as: PNI=[10×serum albumin (g/dl)]+[0.005×total lymphocyte count (/mm3)]. Statistical analyses included univariate and multivariate logistic regression and receiver operating characteristic (ROC) curve analysis.
Results: Among 337 patients, 195 (57.9%) died during ICU stay. PNI scores were significantly lower in non-survivors (p=0.001), with an optimal cut-off value of ?29.8 (sensitivity: 43.1%, specificity: 90.1%). The area under the ROC curve for PNI was 0.661, indicating limited discriminatory power. Multivariate analysis identified prolonged ICU stay (OR=1.052), elevated WBC (OR=1.044), hypoalbuminemia (OR=2.283), increased urea (OR=1.006), lactate (OR=1.144), sepsis (OR=2.362), and stroke (OR=2.746) as independent predictors of mortality (p<0.05).
Conclusion: Low PNI scores are associated with in-hospital mortality in geriatric ICU patients. However, given its low sensitivity and moderate AUC, PNI should not be used as a standalone predictor. Instead, as a simple and cost-effective biomarker, it may serve as a supportive tool alongside other clinical parameters for early risk stratification in geriatric intensive care settings.


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Volume 8, Issue 3, 2025
Page : 502-506
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