BackgroundPremature ventricular complex (PVC) is the etiology of cardiomyopathy known as PVC-induced cardiomyopathy. Various studies have shown certain characteristics that predispose to cardiomyopathy. Present study was the first community-based study conducted to determine the characteristics and prevalence of PVC in certain population, especially Makassar City.MethodsThis study used a cross-sectional study method conducted from June 2017 to May 2018 using data from Telemedicine Electrocardiogram (ECG) at Hasanuddin University Hospital. The characteristics of PVC were QRS PVC duration, coupling interval (CI), PVC morphology in lead V1.ResultsWe calculated 8,847 ECGs, and found 98 ECGs with PVC (1.1%). Incidence of PVC was higher in women than men (52%). Characteristics of PVC with QRS duration include < 140 ms (45.9%); 140 - 159 ms (31.6%); and > 160 ms (22.4%), respectively; and PVC with CI < 300 ms (2%), CI 300 - 599 ms (88%), and CI > 600 ms (10%). Left bundle branch block (LBBB) and right bundle branch block (RBBB) morphology were found in (76.5%) and (19.4%) subjects in turn. Statistically, QRS PVC duration and PVC morphology showed significant differences based on age group (sequentially, P = 0.012 and P = 0.014). While gender only showed a significant difference in QRS PVC duration (P = 0.030).ConclusionsThe prevalence of PVC in the population of Makassar City is similar to the prevalence in other general populations. There are differences in the distribution and prevalence of PVC based on their characteristics according to age group and gender.

Purpose In the past few years, premature ventricular contraction (PVC) has attracted immense attention, both in patients with or without structural heart disease. Despite the technological advancement, no guiding tools are currently available to assist in the prediction of origin of PVC using a 12‐lead electrocardiogram (ECG) before electrophysiology and ablation procedures. Park and co‐workers compiled the existing algorithms for the morphology of ECG from the literature and generated a single algorithm based on specific features of ECG for the prediction of PVC origin. The Park algorithm is limited to idiopathic PVC and has not been evaluated clinically. In the present study, the Park algorithm was used to predict PVC origin in patients with or without structural heart disease and compared with the gold standard examination based on three-dimensional electrophysiological mapping studies. Patients and Methods A cross‐sectional study employing ECG data and electrophysiology study (EPS) reports from patients’ medical records at Integrated Heart Center Wahidin Sudirohusodo Hospital, Makassar, Indonesia was conducted. The study was performed from April 2018 to June 2019 with a total of 31 samples; however, four samples were excluded during the EPS. Results In the present study, the incidence of structural heart disease was 45.2%. The suitability of the Park algorithm for electrophysiological evaluation was 85.2%, both in the case of PVC with and/or without structural heart disease. The prediction of the origin of PVC in the right or left heart using the Park algorithm showed a sensitivity of 95%, specificity of 100%, positive predictive value of 100%, negative predictive value of 87.5%, and accuracy of 96%. Conclusion The findings of the study suggest significant accuracy of the Park algorithm in the prediction of location of origin of PVC. High sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the Park algorithm highlight its suitability to be used for determining the location of PVC origin in the right or left heart.