Authors
Xuanyue Yu, Ziqi Han, Dong Chen, Wen Zhao, Phyo Myint, Shuya Cai, Tie-Ping Fan, Chunpeng Gao, Lichao Zhao, Han Liu, Dirk M Hermann, Shiyao Wang, Yi Liu
Published in
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. Pages 271678X261487851. Sep 02, 2026. Epub Sep 02, 2026.
Abstract
To analyze clinical characteristics, risk factors, and a predictive model for non-aspiration stroke-associated infections (NASAI) in acute ischemic stroke (AIS) patients receiving intravenous alteplase thrombolysis.
This prospective cohort study included AIS patients from the DATIS cohort (Jan 2018-Jul 2024) who received rt-PA thrombolysis. NASAI was defined as stroke-associated infection without evidence of aspiration. Patients were randomized 7:3 into training (n=1171) and validation (n=503) sets. LASSO and logistic regression were used to select predictors. Model performance was assessed by ROC curve, calibration curve (CC), and decision curve analysis (DCA).
Among 1828 patients, NASAI prevalence was 10.72% (196/1828), accounting for 56% of all SAI cases. Independent risk factors included older age (OR 1.62), hypertension (1.64), higher admission NIHSS (4.03), heart rate (1.06), and white blood cell count (1.16). The nomogram showed AUCs of 0.80 (training) and 0.78 (validation), with good calibration and net benefit on DCA.
A nomogram based on five easily accessible variables demonstrated strong predictive performance for NASAI, offering a practical tool for early risk assessment in thrombolyzed AIS patients.
PMID:
42683813
Bibliographic data and abstract were imported from PubMed on 02 Sep 2026.
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