Browsing by Author "Mohan, Chandra"

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    Diagnostic Accuracy of a Smartphone-based 12-lead ECG for Detection of Common Bradycardias, Tachycardias, and Ectopic Arrhythmias
    (Galenos Publishing House, 2026-02-24) Mohan, Chandra; Gururani, Kunal et al.
    Background and Aim: Electrocardiography (ECG) remains the cornerstone for diagnosing cardiac arrhythmias. The purpose of this study was to assess the diagnostic performance of a smartphone-based ECG device (Spandan Ultra 12-lead) compared with a standard 12-lead ECG device for detecting common cardiac arrhythmias (bradycardias, tachycardias, and ectopic arrhythmias), with a cardiologist as the reference standard. Materials and Methods: The study was a prospective, cross-sectional, single-blind, observational, comparative diagnostic accuracy study conducted in 321 patients aged ≥20 years who exhibited signs of arrhythmias. For analysis of diagnostic performance, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), accuracy, F-score, positive and negative likelihood ratios [(positive likelihood ratio (PLR) and negative likelihood ratio (NLR)], Matthews correlation coefficient (MCC), and the Farrington-Manning score were used to provide a comprehensive evaluation. Results: The mean age was 51.95±14.51 years; 50.47% were male. The smartphone-based ECG demonstrated higher sensitivity (86.54% vs. 77.80%), specificity (93.68% vs. 91.38%), PPV (72.58% vs. 64.61%), NPV (97.29% vs. 95.31%), accuracy (92.52% vs. 89.09%), F1 score (0.79 vs. 0.70), PLR (13.7 vs. 9.05), MCC (0.75 vs. 0.64), area under the curve (0.851 vs. 0.846), and lower NLR (0.14 vs. 0.24) compared with the standard 12-lead ECG. The Farrington-Manning non-inferiority test demonstrates that the smartphone-based ECG was non-inferior to the standard 12-lead ECG on all validation parameters. Conclusion: The Spandan Ultra 12-lead smartphone-based ECG is a reliable diagnostic tool for detecting common bradycardias, tachycardias, and ectopic arrhythmias. Its simultaneous multichannel recording enables rapid and accurate rhythm assessment, demonstrating comparable diagnostic performance to that of the standard 12-lead ECG and serving as a complementary diagnostic tool for detecting common arrhythmias.
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    Diagnostic agreement of smartphone-based electrocardiogram with coronary angiography in identifying vessel involvement in patients with myocardial infarction
    (Elsevier, 2026-02-11) Mohan, Chandra; Gururani, Kunal
    Background: Acute myocardial infarction (MI) remains one of the major causes of morbidity and mortality throughout the world. The objectives of this study were to determine the diagnostic agreement between the findings from Portable (Spandan Pro) and Conventional Electrocardiogram with coronary angiography (CAG) regarding vessel involvement in MI patients, and to assess related risk factors. Methodology: This study was an Observational, Single-arm, Cross-sectional study performed on 109 subjects at a local hospital in Dehradun. The study was approved by the Institutional Ethics Committee, and informed consent was obtained from all the participants. For diagnostic agreement, Statistical analyses such as Cohen's κ, weighted κ, prevalence- and bias-adjusted κ (PABAK), and Jaccard index were used. Results: The mean age of the included patients was 58 ± 11.96 years, with a significant male predominance (88.07%). For overall vessel involvement of ECGs with CAG, portable ECG showed a higher sensitivity (84.76 vs. 78.10%), and for LAD artery, it also showed higher sensitivity (88.46% vs. 82.05%) compared to the conven tional ECG. Diagnostic agreement showed substantial agreement with CAG (PABAK 0.68), and according to the Jaccard Index, there was a moderate agreement (approximately 50%) between the ECG-derived findings with CAG across all types of vessel diseases. The most prevalent confounding factor among the participants was smoking (41.9%), followed by Hypertension (39.0%) and diabetes (34.3%). Conclusion: This study indicates that Portable ECG performed comparably to conventional ECG and had a moderate level of diagnostic agreement with CAG in the detection of vessel involvement in patients with MI.