ArticleInfection and drug resistance2025
Risk Factors and Prognosis Analyses of Hospital-Acquired Pneumonia in Elderly Critically Ill Patients with Acute Ischemic Stroke Based on Machine Learning.
Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- AI-Driven Innovations in Transfusion Medicine: A Narrative Synthesis of Current Reviews.Medical sciences (Basel, Switzerland) · 2025Review
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: Increased post-stroke sympathetic drive is linked to hospital-acquired pneumonia (HAP). This study investigated the incidence, prognosis, and risk factors of HAP in elderly critically ill acute ischemic stroke (AIS) patients. Methods: We analyzed HAP risk factors and prognosis in critically ill AIS patients (aged >50, NIHSS >15) from the First Affiliated Hospital of Xi'an Medical University (September 2023-February 2024). Nine factors from 19 variables were selected, with 11 machine learning algorithms for HAP risk prediction. Kaplan-Meier survival estimate, Cox proportional hazards model, 10-fold cross-validation, Friedman and post-hoc Nemenyi tests were used for prognosis analysis and algorithm selection. SHapley Additive explanation values explained feature weights. Results: Of 785 patients, 215 (27.39%) developed HAP, 40.38% were >80 years, 67.01% male, with 30.68% overall mortality. Key predictive variables included respiratory failure, hospital stays, consecutive febrile days, number of bacteria, antibiotics, CRP, immunopotentiator, blood transfusion, and ICU admission. XGBoost performed best (AUC: 0.995 [0.995-0.996] training sets, 0.898 [0.891-0.905] validation sets). HAP, respiratory failure, number of bacteria and ICU admission deteriorated survival, longer hospital stays improved prognosis. Top 3 features via SHAP were number of bacteria, ICU admission and consecutive febrile days. Conclusion: Elderly critically ill AIS patients with HAP are more prone to respiratory failure, prolonged fever, blood transfusion, ICU admission, or death. The number of bacteria-positive species and elevated CRP levels (≥5 mg/L) were identified as among the most significant predictors associated with the development of HAP in our model. Administration of antibiotics and immunopotentiators was significantly associated with improved prognosis in our cohort. However, further interventional studies are required to confirm a causal therapeutic benefit.
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