Observational studyMedical science monitor : international medical journal of experimental and clinical research2020
Do We Need to Distinguish Thrombolysis and Nonthrombolysis Patients When Applying Stroke-Associated Pneumonia Predicting Scores? An External Validation from a 2-Center Database.
Observational study in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
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3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.
- European stroke organisation guideline on stroke-associated pneumonia.European stroke journal · 2026Guideline
- Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis.Frontiers in medicine · 2022Pooled it
- Prevalence, severity, and predictors of dysphagia among patients with acute stroke in Oman.Journal of education and health promotion · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Due to the lack of validation for predictive scoring of stroke-associated pneumonia in both thrombolysis- and nonthrombolysis-treated ischemic stroke (IS) patients, this study aimed to evaluate 4 scoring methods in the 2 subgroups. MATERIAL AND METHODS The CerebroVascular Database Project database included data from patients with cerebral IS that were admitted in 2 hospitals from February 2016 to January 2018. A total of 138 thrombolysis-treated and 138 nonthrombolysis-treated IS patients were enrolled. Area under receiver operating characteristic curves (AUROC) were performed to examine the discrimination of the 4 scores, and Hosmer-Lemeshow test was used to evaluate the goodness of fit. RESULTS The incidence of stroke-associated pneumonia was 24.8%. The thrombolysis and nonthrombolysis subgroups were not significantly different with regard to sex, present smoking, chronic obstructive pulmonary disease history, atrial fibrillation history, blood pressure, or glucose level on admission. However, significant differences were found in National Institutes of Health Stroke Scale scores (P<0.001), Glascow Coma Scale scores (P<0.001), Oxfordshire Community Stroke Project classification (P<0.001), dysphagia (P<0.001), and white blood cell counts (P=0.039). The AUROC for the Age, Atrial fibrillation, Dysphagia, male Sex, stroke Severity, National Institutes of Health Stroke Scale; Preventive ANtibacterial THERapy in acute Ischemic Stroke; Acute Ischemic Stroke-Associated Pneumonia Score (AIS-APS); and Independence, Sex, Age, National Institutes of Health Stroke Scale scores in total population were 0.80 (0.74-0.84), 0.75 (0.69-0.80), 0.80 (0.76-0.85), and 0.76 (0.71-0.81). The goodness of fit was 0.22, 0.22, 0.27, and 0.17, respectively. The AUROC of 4 scores between subgroups were not statistically significant. CONCLUSIONS The AIS-APS had the highest AUC and goodness of fit in our population. All 4 scores can be applied regardless of whether thrombolysis has been performed on patients.
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