Literature DB >> 32245423

Prevalence and risk factors of chronic kidney disease and diabetic kidney disease in a central Chinese urban population: a cross-sectional survey.

Jia-Yu Duan1, Guang-Cai Duan2, Chong-Jian Wang2, Dong-Wei Liu1, Ying-Jin Qiao1, Shao-Kang Pan1, Deng-Ke Jiang1, Yong Liu1, Zi-Hao Zhao1, Lu-Lu Liang1, Fei Tian1, Zhang-Suo Liu3.   

Abstract

BACKGROUND: This study was conducted to evaluate and update the current prevalence of and risk factors for chronic kidney disease (CKD) and diabetic kidney disease (DKD) in a central Chinese urban population.
METHODS: From December 2017 to June 2018, a total of 5231 subjects were randomly enrolled from 3 communities in 3 districts of Zhengzhou. CKD was defined as estimated glomerular filtration rate (eGFR) < 60 mL/min.1.73m2 or urinary albumin to creatinine ratio ≥ 30 mg/g (albuminuria). Diabetic subjects with systolic blood pressure > 140 mmHg, albuminuria or an eGFR less than 60 mL/min/1.73 m2 were classified as having DKD. Participants completed a questionnaire assessing lifestyle and relevant medical history, and blood and urine specimens were taken. Serum creatinine, uric acid, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein and urinary albumin were assessed. The age- and sex-adjusted prevalences of CKD and DKD were calculated, and risk factors associated with the presence of reduced eGFR, albuminuria, DKD, severity of albuminuria and progression of reduced renal function were analyzed by binary and ordinal logistic regression.
RESULTS: The overall adjusted prevalence of CKD was 16.8% (15.8-17.8%) and that of DKD was 3.5% (3.0-4.0%). Decreased renal function was detected in 132 participants (2.9, 95% confidence interval [CI]: 2.5-3.2%), whereas albuminuria was found in 858 participants (14.9, 95% CI: 13.9-15.9%). In all participants with diabetes, the prevalence of reduced eGFR was 6.3% (95% CI = 3.9-8.6%) and that of albuminuria was 45.3% (95% CI = 40.4-50.1%). The overall prevalence of CKD in participants with diabetes was 48.0% (95% CI = 43.1-52.9%). The results of the binary and ordinal logistic regression indicated that the factors independently associated with a higher risk of reduced eGFR and albuminuria were older age, sex, smoking, alcohol consumption, overweight, obesity, diabetes, hypertension, dyslipidemia and hyperuricemia.
CONCLUSIONS: Our study shows the current prevalence of CKD and DKD in residents of Central China. The high prevalence suggests an urgent need to implement interventions to relieve the high burden of CKD and DKD in China.

Entities:  

Keywords:  Chronic kidney disease; Diabetic kidney disease; Ordinal logistic regression; Prevalence

Year:  2020        PMID: 32245423     DOI: 10.1186/s12882-020-01761-5

Source DB:  PubMed          Journal:  BMC Nephrol        ISSN: 1471-2369            Impact factor:   2.388


  9 in total

1.  The Prevalence, Progress and Risk Factor Control of Chronic Kidney Disease in Chinese Adults With Type 2 Diabetes Mellitus in Primary Care.

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3.  Poor Control of Plasma Triglycerides Is Associated with Early Decline of Estimated Glomerular Filtration Rates in New-Onset Type 2 Diabetes in China: Results from a 3-Year Follow-Up Study.

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Journal:  J Diabetes Res       Date:  2020-09-28       Impact factor: 4.011

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5.  The relationship between urinary albumin to creatinine ratio and all-cause mortality in the elderly population in the Chinese community: a 10-year follow-up study.

Authors:  Anhang Zhang; Man Li; Jiaojiao Qiu; Jin Sun; Yongkang Su; Shuang Cai; Qiligeer Bao; Bokai Cheng; Shouyuan Ma; Yan Zhang; Shuxia Wang; Ping Zhu
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7.  Comparative efficacy of novel antidiabetic drugs on cardiovascular and renal outcomes in patients with diabetic kidney disease: A systematic review and network meta-analysis.

Authors:  Hongwei Cao; Tao Liu; Li Wang; Qiuhe Ji
Journal:  Diabetes Obes Metab       Date:  2022-06-06       Impact factor: 6.408

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Review 9.  Signaling Pathways Involved in Diabetic Renal Fibrosis.

Authors:  Yuqing Zhang; Xiaomin Kang; Rongrong Zhou; Yuting Sun; Fengmei Lian; Xiaolin Tong
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  9 in total

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