Florien S van Royen, Geert-Jan Geersing, Daphne C Erkelens, Mathé Delissen, Jorn V F Rutten, Dorien L Zwart, Maarten van Smeden, Frans H Rutten, Sander van Doorn
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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.</p><p><strong>Results: </strong>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%.</p><p><strong>Discussion: </strong>Urgency allocation appears to be suboptimal in BEFAST positive patients calling the OHS-PC. 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引用次数: 0
摘要
导言:对于疑似中风或短暂性脑缺血发作(TIA)患者,快速分流是改善临床疗效的当务之急。为此,在非工作时间初级保健(OHS-PC)中使用了平衡-视力-面部-手臂-语言时间(BEFAST)项目。我们探讨了致电 OHS-PC 的 BEFAST 阳性患者发生中风和 TIA 的风险,并评估了额外的预测因素是否能改善风险分层:这是一项横断面研究,研究人员从电话分诊录音中回顾性收集了被归类为 BEFAST 阳性的致电 OHS-PC 且伴有神经功能缺失症状的患者的常规护理数据。研究人员使用逻辑回归法拟合了四个模型(预测因子包括年龄、性别、心脑血管疾病史和心血管风险因素),以预测中风或 TIA 的结果。使用似然比检验选出最佳模型,随后进行内部验证:在 1289 名 BEFAST 阳性患者中,脑卒中或 TIA 诊断风险为 52%,中位年龄为 72 岁,女性占 56%。在结果为中风/TIA 的患者中,24% 接受了低急诊分配,而 92% 在呼叫时有体征或症状。只有加入年龄和性别后,中风或 TIA 的预测结果才会有所改善(内部验证的 c 统计量为 0.72,95%CI 为 0.69-0.75)。40 岁以下人群的中风或 TIA 预测风险仍低于 20%。70 岁及以上女性和 55 岁及以上男性的预测风险高于 50%:讨论:在呼叫 OHS-PC 的 BEFAST 阳性患者中,急诊分配似乎并不理想。在这种情况下,可以通过增加年龄和性别来改进风险分层。
Additional predictors of stroke and transient ischaemic attack in BEFAST positive patients in out-of-hours emergency primary care.
Introduction: 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.
Methods: 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.
Results: 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%.
Discussion: 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.
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