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Race, Interleukin-6, TMPRSS6 Genotype, and Cardiovascular Disease in Patients With Chronic Kidney Disease
Ian R Barrows1, Matt Devalaraja2, Rahul Kakkar2
1Division of Cardiology George Washington University School of Medicine Washington DC.
Insights
Black patients with chronic kidney disease face higher mortality and cardiovascular disease (CVD) risks. Plasma interleukin-6 (IL-6) levels, not TMPRSS6 genotype, significantly impact these outcomes, with diabetes and IL-6 explaining racial disparities.
Area of Science:
- Nephrology
- Cardiovascular Medicine
- Genetics
Background:
- Racial disparities in mortality and cardiovascular disease (CVD) exist in chronic kidney disease (CKD) patients.
- Factors like inflammation, genetics, and comorbidities are implicated in these differences.
- Interleukin-6 (IL-6) and TMPRSS6 genotype are investigated as potential determinants.
Purpose of the Study:
- To examine the interaction of race, plasma IL-6, and TMPRSS6 genotype on CVD and mortality in CKD patients.
- To identify mediators responsible for racial disparities in mortality and CVD.
Main Methods:
- Analysis of 3031 participants from the Chronic Renal Insufficiency Cohort study.
- Assessment of all-cause mortality and a composite CVD endpoint (myocardial infarction, peripheral artery disease, stroke, heart failure).
- Utilized Cox proportional hazard models and path models including IL-6, diabetes, and urine albumin-to-creatinine ratio.
Main Results:
- Black CKD patients had significantly higher mortality (34% vs. 26%) and CVD composite (41% vs. 28%) than White patients over 10 years.
- TMPRSS6 genotype did not associate with outcomes after adjustment.
- Higher IL-6 levels were strongly associated with increased mortality and CVD composite risk in both races.
- After IL-6 adjustment, racial disparity in mortality disappeared, but a smaller disparity remained for CVD.
- Path models incorporating IL-6, diabetes, and urine albumin-to-creatinine ratio explained racial disparities in mortality and CVD.
Conclusions:
- Racial disparities in mortality and CVD among CKD patients can be explained by factors including plasma IL-6 levels and diabetes.
- Plasma IL-6 is a significant mediator of CVD and mortality risk in CKD.
- Targeting IL-6 and managing diabetes may help reduce racial disparities in CKD outcomes.
Abstract:
Background Differences in death rate and cardiovascular disease (CVD) between Black and White patients with chronic kidney disease is attributed to sociocultural factors, comorbidities, genetics, and inflammation. Methods and Results We examined the interaction of race, plasma IL-6 (interleukin-6), and TMPRSS6 genotype as determinants of CVD and mortality in 3031 Chronic Renal Insufficiency Cohort study participants. The primary outcomes were all-cause mortality and a composite of incident myocardial infarction, peripheral artery disease, stroke, and heart failure. During the median follow-up of 10 years, Black patients with chronic kidney disease experienced a significantly higher mortality (34% versus 26%) and CVD composite (41% versus 28%) compared with White patients. After adjustment, TMPRSS6 genotype did not associate with the outcomes. The adjusted hazard ratio for mortality (4.11 [2.48-6.80], P<0.001) and CVD composite (2.52 [1.96-3.24], P<0.001) were higher for the highest versus lowest IL-6 quintile. The adjusted hazards for death per 1-quintile increase in IL-6 in White and Black individuals were 1.53 (1.42-1.64) versus 1.29 (1.20-1.38) (P<0.001), respectively. For CVD composite they were 1.61 (1.50-1.74) versus 1.30 (1.22-1.39) (P<0.001), respectively. In Cox proportional hazard models that included IL-6, there was no longer a racial disparity for death (1.01 [0.87-1.16], P=0.92), but significant unexplained mediation remained for CVD (1.24 [1.07-1.43]; P=0.004). Path models that included IL-6, diabetes, and urine albumin to creatinine ratio were able to identify variables responsible for racial disparity in mortality and CVD. Conclusions Racial differences in mortality and CVD among patients with chronic kidney disease could be explained by good-fitting path models that include selected mediator variables including diabetes and plasma IL-6.
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