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Dec 6, 2024Keywords:
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Sokoto Journal of Medical Laboratory Science (SJMLS) is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The journal holds the copyright for all the published articles. The signed copyright form submitted by the authors is a publication agreement between the journal and the authors.
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Evaluation of Lipid Profile and Troponin-I as Predictors of Cardiovascular Disorders among Young Adults in Ado-Ekiti
Abstract
Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality worldwide, presenting a significant public health challenge. It encompasses a spectrum of conditions affecting the heart or blood vessels. This study aimed to evaluate the Lipid Profile and Troponin-I as Predictors of Cardiovascular Disorders among Young Adults in Ado-Ekiti, Nigeria. The objectives included investigating dyslipidemia and elevated Troponin-I prevalence, examining contributing factors, exploring Lipid profile-CVD risk associations, assessing Troponin-I-CVD risk factor correlations, and comparing predictive powers. Ethical approval and informed consent were obtained. Clinical assessments and blood samples were collected for Lipid Profile and Troponin-I analysis. A cross-sectional design was used with 384 participants aged 18–45 years. SPSS software was used for statistical analysis. The age distribution showed that 19.50% were aged 18–28, 45.60% were aged 28–38, and 34.90% fell within the 38–48 age range. The mean age and standard deviation for each age group were provided, with statistical tests indicating significant differences between the groups (p < 0.05, F = 1217.461). Participants with “AT RISK” of CVD exhibited higher mean Cardiovascular Risk Ratio (CRR) scores (7.0341 ± 2.52) compared to those with “NO RISK” (3.1531 ± 0.34). Logistic regression analysis identified Total cholesterol as a significant predictor of CVD risk (B = 0.902, p < 0.05, Exponentiated Coefficient (B) = 2.464), while Troponin-I did not significantly predict risk (B = -0.203, p = 0.366, Exponentiated Coefficient (B) = 0.816). Multivariate analysis demonstrated that the predictor variables collectively provided a good fit to the data (Wald = 62.048, df = 6, p < 0.05). Total cholesterol emerged as a significant CVD risk predictor. Troponin-I's role warrants further investigation. Findings emphasize the multifactorial nature of CVD risk and the importance of comprehensive assessments for accurate prediction and management.
