Shahid Sufyan, Iqbal Minahil, Saeed Humza, Hira Sara, Batool Amna, Khalid Salman, Tahirkheli Naeem Khan
Department of Cardiology, Khawaja Muhammad Safdar Medical College, Sialkot, Pakistan.
Department of Cardiology, Allama Iqbal Medical College, Lahore, Pakistan.
JACC Adv. 2025 Jan 9;4(2):101538. doi: 10.1016/j.jacadv.2024.101538. eCollection 2025 Feb.
Electrocardiography (ECG) is the gold standard for the diagnosis of atrial fibrillation (AF). Recently, smartwatches like the Apple Watch have emerged as a promising, user-friendly device for rapid detection and diagnosis of AF, but the reliability and diagnostic accuracy still remain controversial.
The purpose of this study was to perform a systematic review and diagnostic test accuracy meta-analysis evaluating the diagnostic performance of the Apple Watch ECG in detecting AF.
The literature search was conducted on PubMed, Embase, and Cochrane Library through April 2024 for studies comparing the diagnostic accuracy of Apple Watch to standard 12-lead ECG. Statistical analysis was performed using R Software version 4.4.0 and OpenMeta[Analyst]. Pooled analyses of sensitivity, specificity, and area under the receiver operating characteristic curve were determined along with their 95% CIs. The quality of studies was analyzed using the QUADAS-2 tool.
The meta-analysis included 11 studies comprising 4,241 participants. Their mean age was 62.56 ± 3.92 years, and 28% of the patients were females. The pooled sensitivity and specificity of the Apple Watch for detecting AF were 94.8% (95% CI: 91.7% to 96.8%; I = 67%) and 95% (95% CI: 88.6% to 97.8%; I = 88%), respectively. The area under the receiver operating characteristic curve was 0.96 (95% CI: 0.92-0.97).
The Apple Watch ECG carries high accuracy in detecting atrial fibrillation, providing a convenient diagnostic option for patients.
心电图（ECG）是诊断心房颤动（AF）的金标准。最近，像苹果手表这样的智能手表已成为一种有前景的、用户友好的设备，用于快速检测和诊断AF，但其可靠性和诊断准确性仍存在争议。
本研究的目的是进行一项系统评价和诊断试验准确性的荟萃分析，以评估苹果手表心电图检测AF的诊断性能。
截至2024年4月，在PubMed、Embase和Cochrane图书馆进行文献检索，以查找比较苹果手表与标准12导联心电图诊断准确性的研究。使用R软件4.4.0版和OpenMeta[Analyst]进行统计分析。确定了敏感性、特异性和受试者操作特征曲线下面积的合并分析及其95%置信区间。使用QUADAS-2工具分析研究质量。
荟萃分析纳入了11项研究，共4241名参与者。他们的平均年龄为62.56±3.92岁，28%的患者为女性。苹果手表检测AF的合并敏感性和特异性分别为94.8%（95%置信区间：91.7%至96.8%；I² = 67%）和95%（95%置信区间：88.6%至97.8%；I² = 88%）。受试者操作特征曲线下面积为0.96（95%置信区间：0.92 - 0.97）。
苹果手表心电图在检测心房颤动方面具有很高的准确性，为患者提供了一种便捷的诊断选择。
