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Risk Assessment Analysis of Type II Diabetes Mellitus and Dyslipidemia with Coronary Artery Stenosis Scoring:
Pradeep Kumar Dabla1, Dharmsheel Shrivastav1, Vimal Mehta2
1Department of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Associated Maulana Azad Medical College, Jawaharlal, Nehru Marg, New Delhi.
Insights
Diabetes significantly worsens coronary artery disease (CAD) severity, indicated by higher Gensini Scores. Managing blood glucose and lipid profiles is crucial for assessing cardiovascular risk in diabetic patients.
Area of Science:
- Cardiology
- Endocrinology
- Metabolic Syndrome
Background:
- Diabetes mellitus is a significant risk factor for coronary artery disease (CAD).
- Diabetic patients often exhibit a higher prevalence of multivessel disease and poorer cardiovascular outcomes.
- This study investigates the link between lipid profiles, diabetes, and CAD severity.
Purpose of the Study:
- To explore the relationship between lipid profiles and diabetes in relation to CAD severity.
- To evaluate the degree of coronary artery stenosis using the Gensini Score (GS).
Main Methods:
- A cohort of 300 participants was studied: 100 with CAD and diabetes, 100 with CAD without diabetes, and 100 healthy controls.
- Lipid profiles were quantified, and HbA1c levels were measured.
- Coronary artery stenosis was assessed using the Gensini Score (GS) from angiographic data.
Main Results:
- Diabetic CAD patients showed significantly higher Gensini Scores (32.97±22.47) compared to non-diabetic CAD patients (28.70±20.60).
- Positive correlations were observed between HbA1c, random blood sugar, and triglycerides (TG) with GS.
- High-density lipoprotein (HDL) levels showed a significant negative correlation with GS.
Conclusions:
- Lipoprotein levels and diabetic indicators significantly impact CAD severity.
- Personalized management of diabetes and CAD is essential.
- Regular monitoring of glucose and lipid levels is recommended for cardiovascular risk assessment.
Background:
Diabetes is an established risk factor for coronary artery disease (CAD), with substantial evidence linking it to a higher prevalence of multivessel disease and worse cardiovascular outcomes. This study aimed to explore the relationship between lipid profile and diabetes with severity of CAD by evaluating the degree of stenosis as assessed by Gensini Score (GS).
Methods:
A total of 300 participants were included: 100 CAD patients with diabetes, 100 CAD patients without diabetes, and 100 healthy controls. Serum lipoproteins were quantified using standard colorimetric methods, while HbA1c levels were determined through HPLC. GS was assessed using angiographic data obtained from the catheterization laboratory.
Results:
Significant differences in lipid profile, and HbA1c were observed between diabetic CAD patients, non-diabetic CAD patients, and healthy controls. The GS in patients with CAD was markedly elevated in the diabetic CAD cohort (32.97±22.47) in comparison to the non-diabetic CAD cohort (28.70±20.60). A positive correlation was found between HbA1c (r2=0.061), random blood sugar (r2=0.23), and TG (r2=0.00) with the GS. Conversely, HDL levels (r2= -0.074) exhibited a significant negative correlation with GS.
Conclusion:
Our results suggest that lipoproteins and diabetic indicators have a considerable impact on the severity of CAD. This highlights the need for a more personalized approach in managing diabetes and CAD, incorporating regular monitoring of glucose and lipid levels to evaluate cardiovascular risk.
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