Kidney Disease In Chinese Population Research Articles

Metabolic dysfunction, rather than obesity, is a risk factor for chronic kidney disease in Chinese population

Background Metabolic dysfunction and obesity are closely related to chronic kidney disease (CKD). However, studies on the relationship between various metabolic syndrome-body mass index (MetS-BMI) phenotypes and the risk of CKD in the Chinese population have not yet been explored. Materials and methods Data from the China Health and Retirement Longitudinal Study (CHARLS) 2015 were analyzed in this study. This study enrolled 12,054 participants. Participants were divided into six distinct groups according to their MetS-BMI status. Across the different MetS-BMI groups, the odd ratios (ORs) for CKD were determined using multivariable logistic regression models. Results The prevalence of CKD was higher in metabolically unhealthy groups than in the corresponding healthy groups. Moreover, the fully adjusted model showed that all metabolically unhealthy individuals had an increased risk of developing CKD compared to the metabolically healthy normal weight group (OR = 1.62, p = 0.002 for the metabolically unhealthy normal weight group; OR = 1.55, p < 0.001 for the metabolically unhealthy overweight group; and OR = 1.77, p < 0.001 for the metabolically unhealthy obesity group. Conclusions This study is the first to evaluate the relationship between the MetS-BMI phenotype and renal prognosis in the Chinese population. Individuals with normal weights are at different risk of developing CKD depending on their different metabolic phenotypes.

Prehypertension and Chronic Kidney Disease in Chinese Population: Four-Year Follow-Up Study.

Hypertension is a well established cause of chronic kidney disease (CKD). However, the effect of prehypertension on risk of CKD is controversial. The aim of this study is to determine whether prehypertension increases the risk of CKD events in the Chinese population. We enrolled 20,034 with prehypertension and 12,351 with ideal blood pressure in this prospective study. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 ml/min 1.73m2. The new occurrences of CKD events were collected during follow-up. Cumulative survival and freedom for the occurrence of new CKD events was analyzed using the Kaplan-Meier approach. Multivariate Cox Regression was used to analyze the effect of prehypertension on CKD. The median follow-up time was 47 (interquartile range 44–51) months. 601 new onset CKD events occurred during the follow-up period. The cumulative incidence of new CKD events was higher in the prehypertensive population than that in the ideal blood pressure population (2.10% vs 1.46%, P = 0.0001). Multivariate Cox Regression showed that relative risks (RRs) for the new onset CKD events in the prehypertensive population were 1.69 (95% confidence intervals (CI): 1.41~2.04, P = 0.001) higher than those in the ideal blood pressure population. Similarly, the risks were 1.68 (95% CI: 1.33~2.13 P = 0.001) times higher in females and 2.14 (95% CI: 1.58~2.91 P = 0.001) times higher in males by adjustment for traditional CV risk factors. Our findings demonstrated prehypertension is an independent risk factor for the occurrence of new CKD events in the Chinese population.

Insulin resistance is not independently associated with chronic kidney disease in Chinese population: A population-based cross-sectional study

BackgroundMetabolic 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. MethodsThe data were from 2007–2008 China National Diabetes and Metabolic Disorders Study. CKD was defined as an estimated glomerular filtration rate <60ml/min/1.73m2. IR was evaluated by using the homeostatic model assessment (HOMA-IR). ResultsA 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. ConclusionsIR was not an independently significant predictor of CKD in Chinese population, and MS may contribute greatly to the association between IR and CKD.

Prevalence and risk factors of albuminuria and chronic kidney disease in Chinese population with type 2 diabetes and impaired glucose regulation: Shanghai diabetic complications study (SHDCS)

Diabetes is a major risk factor for the development of kidney disease. We aimed to determine the prevalence of albuminuria and chronic kidney disease (CKD) in Chinese subjects with diabetes and pre-diabetes and the risk factors for kidney disease. An urban community-based sample of 3714 adults in Shanghai was classified into normal glucose tolerance (NGT), impaired glucose regulation (IGR) and diabetes. The estimated glomerular filtration rate (eGFR) and the urinary albumin-to-creatinine ratio (ACR) were applied to designate renal function and albuminuria, respectively. Binary logistic regression was performed to analyse the contribution of risk factors to CKD. Polynominal regression was used to determine the trends of eGFR with the increment of ACR. The prevalence of microalbuminuria, macroalbuminuria and CKD in subjects with diabetes was 22.8%, 3.4% and 29.6%, respectively, which was significantly higher than that in non-diabetes subjects. After adjustment for age, the odds ratio of hypertension for albuminuria and renal insufficiency (eGFR <60 mL/min/1.73 m(2,) stages 3-5 of CKD) were 1.23 (P = 0.000) and 2.55 (P = 0.000). Diabetes and cardiovascular disease (CVD) both increased the risk for albuminuria significantly, with the odds ratio of 1.22 (P = 0.04) and 1.36 (P = 0.006), respectively. Diabetes and CVD were not independent risk factor for renal insufficiency. Although the worsening trends of eGFR are similar in diabetes and IGR subjects, IGR was not a significant risk factor for albuminuria and renal insufficiency. Screening for albuminuria and eGFR is highly recommended for older patients with diabetes, hypertension and CVD to prevent end-stage kidney disease.