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Analysis of onset-to-door time and its influencing factors in Chinese patients with acute ischemic stroke during the 2020 COVID-19 epidemic: a preliminary, prospective, multicenter study.
Liao, Yuqi; Qi, Wenwei; Li, Shuting; Shi, Xin; Wu, Xiaohong; Chi, Feng; Xia, Runyu; Qin, Limin; Cao, Liming; Ren, Lijie.
Afiliação
  • Liao Y; School of Medicine, Shenzhen University, Shenzhen, China.
  • Qi W; National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
  • Li S; Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Shi X; School of Statistics, Shandong Technology and Business University, Yantai, China.
  • Wu X; School of Statistics, Shandong Technology and Business University, Yantai, China.
  • Chi F; School of Health Management, China Medical University, Shenyang, China.
  • Xia R; Department of Neurology, The First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen City, 518000, China.
  • Qin L; Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, China.
  • Cao L; Department of Neurology, The First Affiliated Hospital of Shenzhen University, 3002 Sungang West Road, Futian District, Shenzhen City, 518000, China.
  • Ren L; Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, China.
BMC Health Serv Res ; 24(1): 615, 2024 May 10.
Article em En | MEDLINE | ID: mdl-38730381
ABSTRACT

BACKGROUND:

Pre-hospital delay in China is a serious issue with unclear relevant reasons, seriously impeding the adoption of appropriate measures. Herein, we analyzed the onset-to-door time (ODT) in Chinese patients with acute ischemic stroke (AIS) and its influencing factors.

METHODS:

We prospectively recruited 3,459 patients with AIS from nine representative tertiary general hospitals in China between January and June 2022. Patients were divided into ODT ≤ 3 h and ODT > 3 h groups. Following single-factor analysis, binary logistic regression analysis was performed to evaluate the risk factors leading to pre-hospital delay.

RESULTS:

In total, 763 (21.83%) patients arrived at the hospital within 3 h of onset. After adjusting for confounding factors, the risk factors for ODT were residence in rural areas (odds ratio [OR] 1.478, 95% credibility interval [CI] 1.024-2.146) and hospital transfer (OR 7.479, 95% CI 2.548-32.337). The protective factors for ODT were location of onset ≤ 20 km from the first-visit hospital (OR 0.355, 95% CI 0.236-0.530), transportation by emergency medical services (OR 0.346, 95% CI 0.216-0.555), history of atrial fibrillation (OR 0.375, 95% CI 0.207-0.679), moderate stroke (OR 0.644, 95% CI 0.462-0.901), and severe stroke (OR 0.506, 95% CI 0.285-0.908).

CONCLUSIONS:

Most patients with AIS fail to reach a hospital within the critical 3-h window. The following measures are recommended to reduce pre-hospital delays reasonable distribution of hospitals accessible to nearby residents, minimizing interhospital transfer, paying attention to patients with mild stroke, and encouraging patients to use ambulance services. Pre-hospital delays for patients can be reduced by implementing these measures, ultimately improving the timeliness of treatment and enhancing patient prognosis. This study was carried out amid the COVID-19 pandemic, which presented challenges and constraints.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tempo para o Tratamento / AVC Isquêmico / COVID-19 Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tempo para o Tratamento / AVC Isquêmico / COVID-19 Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article