ArticleBMC geriatrics2024
The relationship between the Barthel Index and stroke-associated pneumonia in elderly patients and factors of SAP.
Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The effect of high-intensity interval training on cardiorespiratory fitness for non-ambulatory stroke survivors: a randomized controlled trial.Frontiers in sports and active living · 2026Trial
- Observational
- The Analysis of Risk Factors of Stroke-Associated Pneumonia in Patients with Acute Stroke Based on Lasso Regression and the Construction of a Nomogram Prediction Model.Infection and drug resistance · 2026Article
- Association between nutritional status and pneumonia in patients with spontaneous intracerebral hemorrhage.Frontiers in nutrition · 2025Article
- Predicting Stroke-Associated Pneumonia in Acute Ischemic Stroke: A Machine Learning Model Development and Validation Study with CBC-Derived Inflammatory Indices.International journal of general medicine · 2025Article
- Stroke-associated pneumonia with low PaOFrontiers in neurology · 2025Article
- Atrial volume reduction correlates with early improvement in hemorrhage-associated normal pressure hydrocephalus-a 3D computed tomography volumetric study.Frontiers in neurologyArticle
- Development and validation of a machine learning model for predicting stroke-associated pneumonia in older patients with acute ischemic stroke.Frontiers in neurologyArticle
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19 authors.
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Abstract
backgroundStroke-associated pneumonia (SAP) is a common complication in stroke patients, and the Barthel Index (BI) is a well-established metric for assessing activities of daily living (ADL). However, the association between BI and SAP in acute ischemic stroke (AIS) patients remains unclear. This study aims to investigate the relationship between BI at admission and SAP, and explore the factors in AIS elderly patients.
methodRetrospective data were collected from ischemic stroke patients hospitalized at the Second Affiliated Hospital of Nanchang University between January 2018 and July 2021, including their basic demographic and laboratory test results. Restricted cubic spline regression, multivariate logistic regression analysis, and receiver operating characteristic (ROC) curve analysis were employed to investigate the relationship between BI and SAP. Additionally, the Shapley Additive exPlanations (SHAP) method was used to identify the factors influencing SAP.
resultsThe study included 7,548 eligible stroke patients with a mean age of 75.1 ± 7.6 years, among which 41.14% were female. The SAP group demonstrated significantly lower BI compared to the non-SAP group (50.86 ± 35.60 vs. 75.27 ± 26.33, P < 0.001). Additionally, a conspicuous trend of decreasing SAP risk across the Q1-4 groups was observed (P < 0.001). The RCS analysis further confirmed a gradual reduction in SAP risk with increasing BI. Based on the clinical model, both the BI (NRI = 0.014, P = 0.005; IDI = 0.04, P < 0.001) and the NIHSS score (NRI = 0.09, P = 0.03; IDI = 0.025, P < 0.001) demonstrated additional predictive value for SAP. Multivariate logistic regression and SHAP analysis identified WBC, CONUT, TG, UA, and RBC levels, as well as the type of health insurance (urban employee basic medical insurance), as important independent predictors of SAP.
conclusionBI at admission constitutes a risk factor for the onset of SAP in elderly patients with AIS, Compared to the NIHSS and mRS score, BI may be a more reliable and practical predictor of SAP.
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