Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
Clinical Trials Unit, University of Bern, Switzerland.
Swiss Med Wkly. 2021 Feb 20;151:w20421. doi: 10.4414/smw.2021.20421. eCollection 2021 Feb 15.
Anticoagulation of patients with screen-detected atrial fibrillation may prevent ischaemic strokes. The STAR-FIB study programme aims to determine the age- and sex-specific prevalence of silent atrial fibrillation and to develop a clinical prediction model to identify patients at risk of undiagnosed atrial fibrillation in a hospitalised patient population.
The STAR-FIB study programme includes a prospective cohort study and a case-control study of hospitalised patients aged 65–84 years, evenly distributed for both age and sex. We recruited 795 patients without atrial fibrillation for the cohort study (49.2% females; median age 74.8 years). All patients had three serial 7-day Holter ECGs to screen for silent atrial fibrillation. The primary endpoint will be any episode of atrial fibrillation or atrial flutter of ≥30 seconds duration. The age- and sex-specific prevalence of newly diagnosed atrial fibrillation will be estimated. For the case-control study, 120 patients with paroxysmal atrial fibrillation were recruited as cases (41.7% females; median age 74.6 years); controls will be randomly selected from the cohort study in a 2:1 ratio. All participants in the cohort study and all cases were prospectively evaluated including clinical, laboratory, echocardiographic and electrical parameters. A clinical prediction model for undiagnosed atrial fibrillation will be derived in the case-control study and externally validated in the cohort study.
The STAR-FIB study programme will estimate the age- and sex-specific prevalence of silent atrial fibrillation in a hospitalised patient population, and develop and validate a clinical prediction model to identify patients at risk of silent atrial fibrillation.
对筛查出的房颤患者进行抗凝治疗可能预防缺血性脑卒中。STAR-FIB 研究项目旨在确定年龄和性别特异性的无症状性房颤患病率,并开发一种临床预测模型,以识别住院患者人群中无症状性房颤的高危患者。
STAR-FIB 研究项目包括一项前瞻性队列研究和一项住院患者的病例对照研究,年龄在 65-84 岁之间,按年龄和性别均匀分布。我们招募了 795 名无房颤的队列研究患者(女性占 49.2%;中位年龄 74.8 岁)。所有患者均进行了三次为期 7 天的 Holter ECG 连续监测,以筛查无症状性房颤。主要终点为任何持续时间≥30 秒的房颤或房扑发作。将估计新诊断房颤的年龄和性别特异性患病率。对于病例对照研究,招募了 120 名阵发性房颤患者作为病例(女性占 41.7%;中位年龄 74.6 岁);将以 2:1 的比例从队列研究中随机选择对照组。所有队列研究的参与者和所有病例都进行了前瞻性评估,包括临床、实验室、超声心动图和电参数。将在病例对照研究中推导无症状性房颤的临床预测模型,并在队列研究中进行外部验证。
STAR-FIB 研究项目将估计住院患者人群中无症状性房颤的年龄和性别特异性患病率,并开发和验证一种临床预测模型,以识别无症状性房颤的高危患者。