ABSTRACT
Heart failure (HF) is a leading cause of morbidity and mortality worldwide, with projections showing a further rise in incidence, impacting a decline in quality of life and the costs incurred in its diagnosis and treatment. The authors aim to establish the correlation between the prediction of left ventricular diastolic dysfunction based on a change in QT wave intervals. Methods: A cross-sectional at Holy-family Hospital, Rawalpindi Medical University, Pakistan. One thousand five hundred patients were referred for electrocardiography (ECG) for clinical suspicion of HF between May and July 2022. Ejection fraction (EF), lateral mitral annulus velocity (e'), mitral inflow early (E) and late (A) velocities, left ventricular filling pressure (E/e' ratio), and QT interval (QTc) was calculated. Odds ratios with a 95% CI (odds) were obtained by comparing QTc with all variables. Results: The patients were mostly middle-aged adults with a mean age of 30.27 (±7.64). Male to female ratio was nearly balanced, with 771 (51.4%) males included in the clinical survey. The ECG parameters were; QT interval-494.07 (±63.61), EF-57.11 (±11.96), early to atrial filling velocity ratio-0.71 (±0.20), and lateral mitral annulus velocity-8.29 (±1.64). Conclusion: The promising results for correlation between QT interval and ECG parameters, particularly EF and lateral mitral annulus velocity, should not be considered as the alternative in diagnosing left ventricular diastolic dysfunction thus far. Prolonged electrocardiographic QTc interval in patients with HF is useful in predicting diastolic dysfunction.
