Effect of Vitamin D Level on Severity of Ejection Fraction and Lipid Profile in Myocardial Infarction Patients Presenting to a Tertiary Care Hospital of Mardan

Background: This study investigates the relationship between serum vitamin D levels and various cardiovascular parameters in patients with myocardial infarction (MI). This research investigates how vitamin D content affects heart functions and lipid measurements in patients with MI. Methodology: A total of 100 MI patients participated in this study with median age at 57.5 years and 80% of them being male according to the cross-sectional design. Standard questionnaires together with blood samples and echocardiography served as data collection methods. SPSS version 26 served to analyze the relationship between vitamin D levels and cardiovascular parameters. Results: The participants showed a mean heart function at 41.4% (± 9.2%) and presented serum vitamin-D concentrations at 42.9 ng/mL (± 17.1). The study participants showed common dyslipidemic patterns as their mean total cholesterol levels and LDL, HDL, and triglyceride values measured at 214.5 mg/dL (± 54.9), 145.5 mg/dL (± 48.5), 39.7 mg/dL (± 7.1), and 216.3 mg/dL (± 74.3) respectively. The population mainly presented with hypertension combined with diabetes mellitus followed by hyperlipidemia. Study findings demonstrated a positive relationship between vitamin D level and ejection fraction (R = 0.38, p < 0.001) as well as HDL (R = 0.39, p < 0.001) and negative correlations between vitamin D and LVEDV (R = −0.53, p < 0.001) and LVESV (R = −0.49, p < 0.001). Conclusion: The presence of sufficient vitamin-D levels appears to improve both heart function and blood lipid values while reducing left ventricular chamber size which may prevent cardiac remodeling and heart failure progression. Routinely checking levels of vitamin-D combined with appropriate supplementing strategies and certain life-style changes might help MI patients improve their condition. The longitudinal research with longer periods of observation should be pursued to determine cause-and-effect relationships.