Key result
Spandan smartphone ECG detects AF with ~88% accuracy, outperforming conventional 12-lead ECG.
Why the study?
A large portion of AF remains misdiagnosed, and the accuracy of proposed smartphone ECG applications for diagnosing AF is unknown.
Does the Spandan smartphone ECG accurately detect atrial fibrillation in patients compared to a conventional 12-lead ECG?
Cross-Sectional (n=32)
Single-blind
No
Does the Spandan smartphone ECG accurately detect atrial fibrillation in patients compared to a conventional 12-lead ECG?
The Spandan smartphone ECG demonstrated high accuracy (87.8%) in detecting atrial fibrillation, suggesting its potential utility as a portable screening and monitoring tool.
Answers are grounded in this paper and cite their sources.
Should not yet change AF detection practice; leaves open prospective validation of smartphone ECG accuracy.
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.
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Chandola et al. (2023) conducted a cross-sectional in Atrial Fibrillation (n=32). Spandan Smartphone ECG vs. Conventional 12-lead ECG was evaluated on Accuracy of atrial fibrillation detection. The Spandan smartphone ECG demonstrated an 87.8% accuracy in detecting atrial fibrillation compared to 59.37% for the conventional 12-lead ECG when validated against a cardiologist's diagnosis.
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