Patients with chronic obstructive pulmonary disease (COPD) have an increased risk of cardiovascular involvement, which is among the leading causes of morbidity and mortality worldwide. Echocardiography (ECHO) could be a reliable, non-invasive tool for predicting the risk of cardiovascular modalities in patients with COPD. Combining the ECHO parameters with highly selective cardiac troponin could predict the severity and outcome of patients with COPD. This prospective observational study was conducted at a tertiary care hospital in South India. All patients who met the criteria were included. Patients with other concomitant chronic lung diseases were excluded. An echocardiographic examination was performed, and blood samples for hs-Tnt were taken on admission for patients admitted with COPD. Categorical variables were analyzed using Pearson's Chi-square test, and the T-test was used to compare the means. One-way analysis of variance (ANOVA) followed by the Bonferroni multiple comparison tests was done to compare different echo parameters concerning COPD severity. The mean tricuspid annulus plane systolic excursion (TAPSE) and right ventricle (RV) fraction area change (FAC) values were lower with the increase in the disease severity (P < 0.001). There was a significant increase in the mean systolic pressures in the right atrium and ventricle in patients with severe COPD (P < 0.001). The mean hs-TnT values were significantly higher in patients with severe COPD (18.86 ± 18.12) and correlated well with the increase in the severity of the disease (P < 0.001). Changes in the echo parameters, such as mean TAPSE and RV FAC values, negatively correlated with COPD severity. There was an increase in systolic pressure in both atria and ventricles with the progression of COPD. Troponin helped predict mortality during hospitalization. Comprehensive echocardiographic parameters, such as TAPSE and RV FAC, help assess the disease's severity, predict mortality, and evaluate whether the proper ventricular function is reliable. Troponin is a valuable adjunct that is an independent and strong predictor of overall mortality in patients with COPD.