Novel anthropometric and lipid indices as predictors of chronic kidney disease: insights from a decade-long cohort study.

AIM: In recent years, some studies have suggested that obesity and hyperlipidemia play a crucial role in chronic kidney disease (CKD); however, more research is needed. This study investigated the predictive role of lipid profiles and anthropometric indices in the incidence of CKD.

METHODS AND MATERIALS: The study subjects were participants in the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD), a prospective cohort study that began in 2010. Demographic information, anthropometric indices including body weight (BW), waist circumference (WC), hip circumference (HC), body mass index (BMI), waist-hip ratio (WHR), waist-height ratio (WHtR), body adiposity index (BAI), body roundness index (BRI), weight-adjusted waist index (WWI), A body shape index (ABSI), abdominal volume index (AVI), WC/height ratio, and hip/height ratio, as well as laboratory investigations (including lipid profile) were recorded. Development of CKD was determined in the follow-up visits ten years after the first visit.

RESULTS

Out of the 6,935 patients (41% male), 3859 (55%) were diagnosed with CKD. After adjusting confounders including age, sex, marriage, job, education, and smoking, the analysis revealed that weight (RR = 1.010 (1.006-1.014), p < 0.001), HC (RR = 1.011 (1.005-1.017), p < 0.001), height (RR = 1.026 (1.018-1.034), p < 0.001), WWI (RR = 0.917 (0.869-0.967), p < 0.01), Arm/height (RR = 1.361 (1.109-1.671, p < 0.01), and demispan/ height (RR = 1.361 (1.109-1.671) p < 0.01) were independent predictors of CKD.

CONCLUSION

Anthropometric and lipid indices have the potential to identify individuals at higher risk of developing CKD. However, further research is necessary in this field.