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Abstract: PUB420

Prevalence of CKD and Its Relationship with Cardiovascular Risk: An Experience from Calcutta School Teachers' Cardiovascular Health Study Using Atherosclerotic Cardiovascular Disease (ASCVD) Model

Session Information

Category: Hypertension and CVD

  • 1602 Hypertension and CVD: Clinical

Author

  • Ray, Madhab, UC Davis Health, Sacramento, California, United States

Group or Team Name

  • Healthy Heart Initiative Study Group.
Background

Cardiovascular disease (CVD) is the number one cause of death in high-income nations. Chronic kidney disease (CKD) shares most of the traditional risk factors with CVD. CVD event rates are much higher when CKD is a comorbidity. This study aimed to assess the relationship of CKD with CVD risk estimated by ASCVD model.

Methods

Cardiovascular risk factors and kidney function were evaluated in 4,140 schoolteachers in Calcutta, India in the summer of 2019 with joint approval of Tufts University IRB, Boston, and the local Ethics Committee, Calcutta. CVD risk was evaluated using the American College of Cardiology ASCVD risk calculator and stratified as mild (<5), moderate (>5 and <10) and high (>10). Kidney function was evaluated using serum creatinine level and eGFR calculated with CKD-Epi equation. Two-way Anova was used to evaluate the relationship between estimated GFR and ASCVD risk categories.

Results

The mean age of the participants was 44 years and 41% were male. Most participants (86%) were categorized as low risk for CVD, while 12% and 2% of the participants had moderate and high risk, respectively. Most participants had CKD G2 (n = 125, 52%) followed by G1 and G3 (n = 53, 22% each). Six participants had CKD G3B while number of participants in G4 and G5 were one in each category. There were no significant differences in the GFR among the different ASCVD risk categories (p-value > 0.05).

Conclusion

Our study failed to demonstrate any significant difference in GFR among the different CVD risk categories. In a randomized sample stratified by the CVD risk a high proportion of participants were found to be diabetic, previously not diagnosed. This discrepancy possibly led to under estimation of the CVD risk of the participants while their GFR was overestimated because of their underlying hyperglycemia. Further studies are necessary to ascertain the community burden of CKD and to explore the complex relationship between CKD and different traditional and nontraditional cardiovascular risk factors.

Cardiovascular risk categories and their relationship with estimated GFR
ASCVD Risk CategoryMaleFemaleCombinedGFR (mean) +/-SD
Low78114192 (86%)74.92 +/- 20.76
Moderate21728 (12%)72.32 +/- 17.43
High17320 (2%)76.95 +/27.29

Two-way Anova p value not statistically significant