A Single Blinded, Cross-Sectional, Single-Center Study for the Validation of Atrial Fibrillation Detection using Spandan Smartphone ECG

Nitin Chandola, S. Mahajan, Salil Garg, Yogendra Pratap Singh, Richa Sharma, T. Bhatia, Basundhara Bansal
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Abstract

The atrial fibrillation prevalence is found between 0.1% and 4% in community-based research and between 2.8% and 14% in studies conducted in hospitals; nevertheless, a large portion of AF is still misdiagnosed. Smartphone applications for diagnosing AF have been proposed given that a big portion of Indians own smartphones, although it is unknown how accurate these programs would be. The study's objectives were as follows: a) To evaluate the diagnostic efficacy of the Spandan ECG in detecting AF in a single center trial that took place in SMIH Dehradun under the supervision of the cardiologist, and b) to investigate arrhythmia detection through a smartphone-based and monitoring. This single-blinded, cross-sectional, single-center study was conducted at Shri Mahant Indresh Hospital (SMIH), Dehradun, Uttarakhand, India from August 2022 to December 2022. Patients (n=32) undergoing the electrocardiogram (ECG) at the Department of Cardiology of the SMIH, Dehradun during the study period and diagnosed with atrial fibrillation. Mean age (SD) was 59.93±13.81 years. Males (n=17/32, 53.1%) show more frequency than females. Most patients had a medical history of coronary artery disease (21.8%). True positive cases derived from confusion matrix of atrial fibrillation detected using smartphone based ECG and 12 lead standard ECG along with the cardiologist’s diagnosis was 29/32 on smartphone-based as compared to 19/32 from 12 lead gold standard. Atrial fibrillation was detected correctly in 29/32 cases and 19/32 cases by smartphone ECG and 12 lead gold standard, respectively. The study hypotheses that Spandan's ability of real-time ECG monitoring will be useful in evaluating whether a patient's discomfort is caused by recurrent arrhythmia.
一项单盲、横断面、单中心研究验证Spandan智能手机ECG检测心房颤动的有效性
在社区研究中发现房颤患病率在0.1%至4%之间,在医院进行的研究中发现患病率在2.8%至14%之间;然而,很大一部分房颤仍被误诊。鉴于很大一部分印度人拥有智能手机,已经提出了用于诊断房颤的智能手机应用程序,尽管尚不清楚这些程序的准确性。该研究的目的如下:a)在心脏病专家的监督下,在Dehradun进行的单中心试验中评估Spandan ECG检测AF的诊断效果;b)通过基于智能手机的心律失常检测和监测进行研究。这项单盲、横断面、单中心研究于2022年8月至2022年12月在印度北阿坎德邦德拉敦的Shri Mahant Indresh医院(SMIH)进行。研究期间在dehradon的SMIH心内科接受心电图检查并诊断为房颤的患者(n=32)。平均年龄(SD) 59.93±13.81岁。男性发病频率高于女性(n=17/32, 53.1%)。大多数患者有冠状动脉病史(21.8%)。使用基于智能手机的心电图和12导联标准心电图以及心脏病专家的诊断检测到的房颤混淆矩阵得出的真阳性病例在基于智能手机的心电图中为29/32,而在12导联金标准中为19/32。智能手机心电图和12铅金标准对房颤的检出率分别为29/32例和19/32例。该研究假设Spandan的实时心电图监测能力将有助于评估患者的不适是否由复发性心律失常引起。
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