Key result
Cardiovascular biomarkers including HsCRP and NLR correlate significantly with glycemic and blood pressure parameters.
Why the study?
Because CVD increases death rates by three to seven times and mortality and morbidity increase significantly with disease duration, it is crucial to evaluate significant cardiovascular risk factors and biomarkers in patients with diabetes and metabolic diseases.
Are cardiovascular risk biomarkers (RDW, TLC, NLR, HsCRP, GGT) associated with metabolic syndrome components across different subgroups of patients with type 2 diabetes mellitus, hypertension, obesity, and dyslipidemia?
Cross-Sectional (n=140)
No
Are cardiovascular risk biomarkers (RDW, TLC, NLR, HsCRP, GGT) associated with metabolic syndrome components across different subgroups of patients with type 2 diabetes mellitus, hypertension, obesity, and dyslipidemia?
Routine inflammatory and biochemical markers such as HsCRP, GGT, RDW, TLC, and NLR correlate significantly with glycemic, lipid, and blood pressure parameters in patients with clustering metabolic diseases, offering a low-cost method to assess cardiovascular risk.
Answers are grounded in this paper and cite their sources.
These correlations may aid risk stratification in metabolic disorders; leaves open prospective validation for outcome prediction.
Background: Depending on the mode of presentation, CVD increases death rates by three to seven times. Serum total cholesterol is a strong predictor of the risk of CV events in people with diabetes. Mortality and morbidity are significantly increased with duration. It is crucial to evaluate the significant risk factors in diabetes. Methodology: It is a cross-sectional study and comprised of 140 subjects. Demographic details and Blood samples for biochemical parameters of the subjects were collected and recorded. Participants who met the inclusion criteria were divided in to three groups and evaluated the cardiovascular risk markers such as, RDW, TLC, NLR, HsCRP and GGT in metabolic diseases patients, Results: Group A subjects have shown significant (p<0.005, p<0.003) and positive correlation with NLR. In group B it was found that TLC was statistically significant and positive correlation with DBP. In Group C Subjects with T2DM, obesity, Hypertension and Dyslipidemia, TLC has shown significance (p<0.024) and inverse correlation with SBP and NLR was found to be statistically significant (p<0.042) and inversely correlated with HbA1C. Discussion: In our study, it was established that one of the metabolic components in all subdivided groups shows significance and positive correlation with TLC and NLR. T2DM subjects have shown significant (p<0.005, p<0.003) and positive correlation with NLR Subjects with T2DM, obesity, Hypertension and Dyslipidemia, TLC has shown significance (p<0.024) and inverse correlation with SBP and NLR was found to be statistically significant (p<0.042) and inversely correlated with HbA1C. Conclusion: Thus, knowing the principle of Metabolic diseases not only provides a practical and effective technique to identify individuals with multiple risk factors for cardiovascular diseases, but also provides insight to public health policy planners for future prevention and promotion of healthy living. Finally, patients with metabolic diseases need to face financial strain and it becomes the burden for the developing society. Key words: Metabolic diseases. cardio vascular diseases, Biomarkers
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Ramya et al. (2026) conducted a cross-sectional in Metabolic diseases (Type 2 diabetes mellitus, obesity, hypertension, and dyslipidemia) (n=140). Cardiovascular risk biomarkers (RDW, TLC, NLR, HsCRP, and GGT) vs. Metabolic syndrome components across three patient groups was evaluated on Pearson correlation between cardiovascular risk biomarkers (HsCRP, GGT, RDW, TLC, NLR) and metabolic disease components (FBG, HbA1c, BMI, SBP, DBP, HDL, TGL) (p=<0.005). Cardiovascular biomarkers HsCRP, GGT, TLC, and NLR showed significant correlations with glycemic and blood pressure parameters in patients with T2DM, obesity, hypertension, and dyslipidemia (p<0.05).
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