ArticlePeerJ2025
Prognostic nutritional index (PNI) as an influencing factor for in-hospital mortality in patients with stroke-associated pneumonia: a retrospective study.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The Prognostic Nutritional Index as a Lifeline for Cardiovascular Health in Individuals With Insomnia: A Prospective Cohort Study.Health science reports · 2026Article
- Association between prognostic nutritional index and mortality in patients with sepsis-associated delirium: a retrospective cohort study using the MIMIC-IV database.BMC nutrition · 2026Article
- Independent and combined predictive value of nutritional, electrolyte, inflammatory, and insulin resistance indices for post-stroke infection in acute ischemic stroke: a retrospective study.Frontiers in nutrition · 2026Article
- Association between PNI and all-cause mortality in ischemic stroke patients: a large-scale retrospective cohort study.Frontiers in nutrition · 2026Article
- The Effect of Malnutrition, Inflammatory Biomarkers, and Stress-Induced Hyperglycemia on the Glomerular Filtration Rate in Renal Dysfunction.International journal of general medicine · 2025Article
- Preoperative prognostic nutritional index as a predictive factor for postoperative pneumonia in esophageal cancer patients undergoing esophagectomy.Frontiers in nutrition · 2025Article
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6 authors.
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Abstract
Background: Stroke-associated pneumonia (SAP) significantly increases patients' risk of death after stroke. The identification of patients at high risk for SAP remains difficult. Nutritional assessment is valuable for risk identification in stroke patients. The aim of this study was to evaluate the relationship between prognostic nutritional index (PNI) levels and in-hospital mortality in SAP patients. Methods: A total of 336 SAP patients who visited the Third People's Hospital of Chengdu from January 2019 to December 2023 were included in this study, and PNI were calculated based on the results of admission examinations. Linear regression was used to analyze the influencing factors of baseline PNI in SAP patients. Logistic regression as well as restricted cubic splines (RCS) were used to analyze the relationship between baseline PNI levels and hospital mortality events in SAP patients. Receiver operating characteristic (ROC) curves were plotted to assess the predictive value of PNI for in-hospital mortality by area under the curve (AUC). Results: Thirty out of 336 SAP patients presented with in-hospital mortality and these patients had significantly lower PNI levels. In our study, PNI levels were influenced by age, body mass index, and total cholesterol. Increased PNI levels are an independent protective factor for the risk of in-hospital mortality in SAP patients (OR: 0.232, 95% CI [0.096-0.561], Conclusion: PNI levels in SAP patients were associated with the short-term prognosis of patients, and SAP patients with elevated PNI levels had a reduced risk of in-hospital mortality.
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