Department of General Practice & Nursing Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Department of Epidemiology & Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
PLoS One. 2024 Sep 20;19(9):e0310769. doi: 10.1371/journal.pone.0310769. eCollection 2024.
In patients suspected of stroke or transient ischemic attack (TIA), rapid triaging is imperative to improve clinical outcomes. For this purpose, balance-eye-face-arm-speech-time (BEFAST) items are used in out-of-hours primary care (OHS-PC). We explored the risk of stroke and TIA among BEFAST positive patients calling to the OHS-PC, and assessed whether additional predictors could improve risk stratification.
This is a cross-sectional study of retrospectively gathered routine care data from telephone triage tape-recordings of patients calling the OHS-PC with neurological deficit symptoms, classified as BEFAST positive. Four models-with the predictors age, sex, a history of cardiovascular or cerebrovascular disease, and cardiovascular risk factors-were fitted using logistic regression to predict the outcome stroke or TIA. Likelihood ratio testing was used to select the best model, which was subsequently internally validated.
The risk of stroke or TIA diagnosis was 52% among 1,289 BEFAST positive patients, median age 72 years, 56% female sex. Of patients with the outcome stroke/TIA, 24% received a low urgency allocation, while 92% had signs or symptoms when calling. Only the addition of age and sex improved predicting stroke or TIA (internally validated c-statistic 0.72, 95%CI 0.69-0.75). The predicted risk of stroke or TIA remained below 20% in those aged below 40. Females aged 70 or over and males aged 55 or over, had a predicted risk above 50%.
Urgency allocation appears to be suboptimal in BEFAST positive patients calling the OHS-PC. Risk stratification could be improved in this setting by adding age and sex.
在疑似中风或短暂性脑缺血发作(TIA)的患者中,快速分诊对于改善临床结局至关重要。为此,在非工作时间的初级保健(OHS-PC)中使用平衡-眼-面-臂-言语-时间(BEFAST)项目。我们探讨了在致电 OHS-PC 出现神经功能缺损症状的 BEFAST 阳性患者中发生中风和 TIA 的风险,并评估了其他预测指标是否可以改善风险分层。
这是一项回顾性研究,对通过电话分诊的 OHS-PC 来电患者的常规护理数据进行了分析,这些患者的神经功能缺损症状被归类为 BEFAST 阳性。使用逻辑回归为四个模型拟合了预测结局为中风或 TIA 的预测因子(年龄、性别、心血管或脑血管疾病史以及心血管危险因素)。使用似然比检验选择最佳模型,然后对其进行内部验证。
在 1289 例 BEFAST 阳性患者中,有 52%的患者诊断为中风或 TIA,中位年龄为 72 岁,56%为女性。患有中风/TIA 结局的患者中,24%被分配为低紧急度,而 92%在来电时出现了症状或体征。仅增加年龄和性别可以提高预测中风或 TIA 的能力(内部验证的 C 统计量为 0.72,95%CI 为 0.69-0.75)。在年龄低于 40 岁的患者中,中风或 TIA 的预测风险仍低于 20%。70 岁或以上的女性和 55 岁或以上的男性,其预测风险高于 50%。
在 BEFAST 阳性患者致电 OHS-PC 时,紧急度分配似乎并不理想。通过增加年龄和性别,这种情况下的风险分层可以得到改善。