Controlling Six Risk Factors Can Combat CKD in Obesity

TOPLINE:
Optimal management of blood pressure, A1c levels, low-density lipoprotein cholesterol (LDL-C), albuminuria, smoking, and physical activity may reduce the excess risk for chronic kidney disease (CKD) typically linked to obesity. The protective effect is more pronounced in men, in those with lower healthy food scores, and in users of diabetes medication.
METHODOLOGY:
Obesity is a significant risk factor for CKD, but it is unknown if managing multiple other obesity-related CKD risk factors can mitigate the excess CKD risk.
Researchers assessed CKD risk factor control in 97,538 participants with obesity from the UK Biobank and compared them with an equal number of age- and sex-matched control participants with normal body weight and no CKD at baseline.
Participants with obesity were assessed for six modifiable risk factors: Blood pressure, A1c levels, LDL-C, albuminuria, smoking, and physical activity.
Overall, 2487, 12,720, 32,388, 36,988, and 15,381 participants with obesity had at most two, three, four, five, and six risk factors under combined control, respectively, with the two or fewer group serving as the reference.
The primary outcome was incident CKD and the degree of combined risk factor control in persons. The CKD risk and risk factor control in participants with obesity were also compared with CKD incidence in matched normal weight participants.
TAKEAWAY:
During a median follow-up period of 10.8 years, 3954 cases of incident CKD were reported in participants with obesity and 1498 cases in matched persons of normal body mass index (BMI).
In a stepwise pattern, optimal control of each additional risk factor was associated with 11% (adjusted hazard ratio [aHR], 0.89; 95% CI, 0.86-0.91) reduction in the incidence of CKD events, down to a 49% reduction in CKD incidence (aHR, 0.51; 95% CI, 0.43-0.61) for combined control of all six risk factors in participants with obesity.
The protective effect of combined control of risk factors was more pronounced in men vs women, in those with lower vs higher healthy diet scores, and in users vs nonusers of diabetes medication.
A similar stepwise pattern emerged between the number of risk factors controlled and CKD risk in participants with obesity compared with matched individuals of normal BMI, with the excess CKD risk eliminated in participants with obesity with six risk factors under control.
IN PRACTICE:
“Comprehensive control of risk factors might effectively neutralize the excessive CKD risk associated with obesity, emphasizing the potential of a joint management approach in the prevention of CKD in this population,” the authors wrote.
SOURCE:
The study was led by Rui Tang, MS, Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana. It was published online in Diabetes, Obesity and Metabolism.
LIMITATIONS:
The evaluated risk factors for CKD were arbitrarily selected, which may not represent the ideal group. The study did not consider the time-varying effect of joint risk factor control owing to the lack of some variables such as A1c. The generalizability of the findings was limited because over 90% of the UK Biobank cohort is composed of White people and individuals with healthier behaviors compared with the overall UK population.
DISCLOSURES:
The study was supported by grants from the US National Heart, Lung, and Blood Institute and the National Institute of Diabetes and Digestive and Kidney Diseases. The authors declared no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
 
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