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Insulin resistance is not independently associated with chronic kidney disease in Chinese population: A
Ce Jing1, Shaoyong Xu1, Jie Ming1
1Department of Endocrinology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Insights
Insulin resistance (IR) is not an independent predictor of chronic kidney disease (CKD) in China. Metabolic syndrome (MS) significantly contributes to the link between IR and CKD, highlighting the importance of managing MS for kidney health.
Area of Science:
- Nephrology
- Endocrinology
- Public Health
Background:
- Metabolic syndrome (MS) may influence the relationship between insulin resistance (IR) and chronic kidney disease (CKD).
- Limited studies exist on this association in the Chinese population.
- This study investigates the independent association of IR with CKD in Chinese adults.
Purpose of the Study:
- To determine if insulin resistance (IR) is an independent risk factor for chronic kidney disease (CKD).
- To explore the role of metabolic syndrome (MS) in the association between IR and CKD.
Main Methods:
- Utilized data from the 2007-2008 China National Diabetes and Metabolic Disorders Study.
- Defined chronic kidney disease (CKD) as an estimated glomerular filtration rate <60 ml/min/1.73m².
- Assessed insulin resistance (IR) using the homeostatic model assessment (HOMA-IR).
Main Results:
- Higher quartiles of HOMA-IR correlated with increased CKD prevalence in the general population (P<0.001).
- No significant association between HOMA-IR quartiles and CKD was found in individuals without MS (P=0.288).
- Adjusted odds ratios for CKD increased with HOMA-IR quartiles in the general population, but not in the subgroup without MS.
Conclusions:
- Insulin resistance (IR) is not an independent predictor of chronic kidney disease (CKD) in the Chinese population.
- Metabolic syndrome (MS) plays a significant role in the association between IR and CKD.
- Managing MS is crucial for mitigating the risk of CKD in individuals with IR.
Background:
Metabolic syndrome (MS) may modify the association of insulin resistance (IR) with chronic kidney disease (CKD), but the relevant studies were not enough. We evaluated whether IR is independently associated with CKD in Chinese population.
Methods:
The data were from 2007-2008 China National Diabetes and Metabolic Disorders Study. CKD was defined as an estimated glomerular filtration rate <60ml/min/1.73m(2). IR was evaluated by using the homeostatic model assessment (HOMA-IR).
Results:
A total of 11,143 individuals were included. Participants in the higher quartiles of HOMA-IR tended to have higher prevalence of CKD in general population (P<0.001). However, there was no significant difference among the quartiles of HOMA-IR in population without MS (P=0.288). In general population, the adjusted odds ratio of CKD was 1.183 (95% CI: 0.838-1.670), 1.543 (95% CI: 1.103-2.158), and 1.549 (95% CI: 1.079-2.223) in the second, third and fourth quartile of HOMA-IR relative to the lowest quartile, while the odds ratios in population without MS showed no significance in all higher quartiles.
Conclusions:
IR was not an independently significant predictor of CKD in Chinese population, and MS may contribute greatly to the association between IR and CKD.
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