Case report shows smartphone ECG accurately identifies double vessel disease in a patient, suggesting its utility in low-resource settings.
Introduction: Early diagnosis of obstructive coronary artery disease (CAD), particularly double vessel disease (DVD), is critical for preventing adverse cardiovascular outcomes. Patient Information: A 67-year-old male with known CAD presented with a complaint of Chest pain. The patient had no co-morbid conditions like hypertension, diabetes mellitus, or a smoking history. Spandan's ECG findings were consistent with the gold standard 12-lead ECG (Philips PageWriter ECG), showing anteroseptal MI with lateral wall ischemia. The patient underwent coronary angiography to clarify the extent and severity of CAD. Based on the coronary angiography, the final diagnosis of the patient was DVD involving the left anterior descending artery (LAD) and the left circumflex artery (LCX). Conclusion: This case illustrates the clinical efficacy of the Spandan smartphone-based ECG device, which revealed results comparable to the gold standard 12-lead ECG and was subsequently confirmed by coronary angiography. The results validate the utility of the Spandan as a reliable tool for the early detection of significant CAD in resource-limited or point-of-care settings. Plain Language Summaries (PLS) A 67-year-old patient with a history of heart disease presented to the hospital with acute chest pain. Physicians initially employed a normal ECG machine, which indicated the traces of a heart attack. The following day, they employed a smartphone-based ECG device named Spandan, which also indicated identical results. Both tests indicated damage in the front and side regions of the heart. Subsequently, a coronary angiography confirmed two great heart arteries were severely narrowed and diagnosed with double vessel disease. This case illustrates that the Spandan ECG device can identify serious heart conditions accurately and can prove to be a valuable asset in regions where regular ECG machines are inaccessible. Early identification like this has the potential to save lives, particularly in remote or low-resource areas.
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Mohan et al. (2025) studied this question.
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