ArticleStroke and vascular neurology2025
Analysis of prehospital delay in acute ischaemic stroke and its influencing factors: a multicentre prospective case registry study in China.
Article in Stroke and vascular neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systemic review of facial expression recognition (FER) in stroke: diagnosis and emerging applications in rehabilitation.Frontiers in neurologyPooled it
- Prediction of Early Hospital Admission (≤24 Hours) After Stroke Using Machine Learning and Deep Learning: Multicenter Study From China.JMIR medical informatics · 2026Article
- From disease-specific control to system-embedded governance: a multidimensional policy design analysis of stroke prevention and stroke center development in China.Frontiers in public health · 2026Article
- Development and validation of a risk prediction model of prehospital delay in patients with acute ischemic stroke.Frontiers in public health · 2026Article
- Effects of Stroke Awareness on Onset-to-Hospital Time and Healthcare Costs in Acute Ischemic Stroke: A Cross-Sectional Study.Noro psikiyatri arsivi · 2026Article
- Resveratrol attenuates pyroptosis and neuroinflammation by inhibiting the TLR4/NF-κB/AIM2 pathway in ischemic stroke rats.Frontiers in pharmacology · 2026Article
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20 authors.
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Abstract
backgroundPrehospital delay in acute ischaemic stroke (AIS) remains prevalent in China. We aimed to assess the status of the onset-to-door time (ODT) in AIS and analyse its influencing factors.
methodsData were collected from a prospective multicentre hospital-based registry (China National Cerebrovascular Disease Prevention and Control Project Management Special Database) of patients with AIS involving 21 hospitals across different economic and geographical regions in China in 2022. The Mann-Whitney U test or t-test was used for between-group comparisons. Factors influencing ODT ≤3 hours were analysed using a binary logistic regression model.
resultsOf the included 12 484 patients (attended middle school or below, 69.2%), females had a higher illiteracy rate (13.1%) than males (4.8%); 94.8% were living with others at illness onset; 22.5% of patients/family members were aware of the stroke emergency map (SEM, but only 7.3% were transported by SEM; 76.8% lived within 20 km of the first visited hospital. Significant differences occurred in modes of arrival at hospitals among cities of different sizes (χ²=74.882, p<0.001). Being in a medium-sized (OR 0.65, 95% CI 0.50 to 0.86); large (OR 0.61, 95% CI 0.47 to 0.79) or extralarge city (OR 0.60, 95% CI 0.46 to 0.78); experiencing cardiogenic embolism (OR 0.65, 95% CI 0.50 to 0.86) or stroke of undetermined aetiology (OR 0.69, 95% CI 0.52 to 0.92); stroke onset between 18:00 and 23:59 (OR 0.71, 95% CI 0.60 to 0.85); distance <20 km from onset location to the hospital (OR 0.47, 95% CI 0.41 to 0.54); being transported by SEM (OR 0.31, 95% CI 0.26 to 0.36) and having initial National Institutes of Health Stroke Scale scores of 5-15 (OR 0.63, 95% CI 0.57 to 0.71) or 16-42 (OR 0.32, 95% CI 0.27 to 0.39) were independent factors favouring ODT ≤3 hours. Conversely, being transferred between hospitals during transportation (OR 3.31, 95% CI 2.66 to 4.14); experiencing wake-up stroke (OR 2.00, 95% CI 1.67 to 2.38); symptom-onset including dizziness (OR 1.28, 95% CI 1.10 to 1.47) and prestroke modified Rankin scale (mRS) score of 2-3 (OR 1.58, 95% CI 1.30 to 1.92) or 4-5 (OR 1.48, 95% CI 1.02 to 2.15) tended to indicate ODT >3 hours.
conclusionsUrban scale, stroke type, onset time, distance from initial location to the first hospital visit, transportation method, stroke symptoms, prestroke mRS score and stroke severity significantly influenced prehospital delay. Our findings can facilitate the development of targeted policies.
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