Literature DB >> 18586172

All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan.

Chi Pang Wen1, Ting Yuan David Cheng, Min Kuang Tsai, Yen Chen Chang, Hui Ting Chan, Shan Pou Tsai, Po Huang Chiang, Chih Cheng Hsu, Pei Kun Sung, Yi Hua Hsu, Sung Feng Wen.   

Abstract

BACKGROUND: Both end-stage renal disease and chronic kidney disease are increasing worldwide; however, the full effect of chronic kidney disease is unknown because mortality risks for all five stages are unavailable. We assessed prevalence and mortality risks for all stages of chronic kidney disease and quantified its attributable mortality in Taiwan.
METHODS: The cohort consisted of 462 293 individuals aged older than 20 years who participated in a standard medical screening programme since 1994. As of Dec 31, 2006, we identified 14 436 deaths. Chronic kidney disease was determined by glomerular filtration rate and urinary protein. We estimated national prevalence in Taiwan from the cohort by adjusting age and educational levels. Hazard ratios (HRs) were calculated with Cox proportionate hazards model. We calculated mortality attributable to chronic kidney disease for national population and for low socioeconomic status.
FINDINGS: The national prevalence of chronic kidney disease was 11.93% (95% CI 11.66-12.28), but only 3.54% (3.37-3.68) of participants in the cohort were aware of their disorder. Prevalence was substantially higher in the group with low socioeconomic status than in the high status group (19.87% [19.84-19.91] vs 7.33% [7.31-7.35]). 56 977 (12%) of cohort participants had chronic kidney disease; those with disease had 83% higher mortality for all cause (HR 1.83 [1.73-1.93]) and 100% higher for cardiovascular diseases (2.00 [1.78-2.25]), in a cohort that was observed for 13 years with median follow-up of 7.5 years (IQR 4.0-10.1). 10.3% (95% CI 9.57-11.03) of deaths in the entire population were attributable to chronic kidney disease, but 17.5% (16.27-18.67) of deaths in the low socioeconomic status population. 2350 (39%) deaths occurred before 65 years of age in those with chronic kidney disease. Regular users of Chinese herbal medicines had a 20% (odds ratio 1.20 [1.16-1.24]) increased risk of developing chronic kidney disease.
INTERPRETATION: The high prevalence of chronic kidney disease and its associated all-cause mortality, especially in people with low socioeconomic status, make reduction of this disorder a public-health priority. Promotion of its recognition through the general public knowing their glomerular filtration rate and testing their urine is crucial to reduce premature deaths from all causes and to attenuate this global epidemic.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18586172     DOI: 10.1016/S0140-6736(08)60952-6

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  314 in total

1.  Cancer-specific mortality in chronic kidney disease: longitudinal follow-up of a large cohort.

Authors:  Pei-Hsuan Weng; Kuan-Yu Hung; Hsien-Liang Huang; Jen-Hau Chen; Pei-Kun Sung; Kuo-Chin Huang
Journal:  Clin J Am Soc Nephrol       Date:  2011-04-21       Impact factor: 8.237

2.  Preoperative proteinuria predicts adverse renal outcomes after coronary artery bypass grafting.

Authors:  Tao-Min Huang; Vin-Cent Wu; Guang-Huar Young; Yu-Feng Lin; Chih-Chung Shiao; Pei-Chen Wu; Wen-Yi Li; Hsi-Yu Yu; Fu-Chang Hu; Jou-Wei Lin; Yih-Sharng Chen; Yen-Hung Lin; Shoei-Shen Wang; Ron-Bin Hsu; Fan-Chi Chang; Nai-Kuan Chou; Tzong-Shinn Chu; Yu-Chang Yeh; Pi-Ru Tsai; Jenq-Wen Huang; Shuei-Liong Lin; Yung-Ming Chen; Wen-Je Ko; Kwan-Dun Wu
Journal:  J Am Soc Nephrol       Date:  2010-11-29       Impact factor: 10.121

3.  Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions.

Authors:  Andrew S Levey; Lesley A Stevens
Journal:  Am J Kidney Dis       Date:  2010-04       Impact factor: 8.860

4.  Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts.

Authors:  Ron T Gansevoort; Kunihiro Matsushita; Marije van der Velde; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Josef Coresh
Journal:  Kidney Int       Date:  2011-02-02       Impact factor: 10.612

5.  The message for World Kidney Day 2009: hypertension and kidney disease: a marriage that should be prevented.

Authors:  George L Bakris; Eberhard Ritz
Journal:  Clin J Am Soc Nephrol       Date:  2009-02-11       Impact factor: 8.237

6.  The message for World Kidney Day 2009: hypertension and kidney disease-a marriage that should be prevented.

Authors:  George L Bakris; Eberhard Ritz
Journal:  Clin Exp Nephrol       Date:  2009-01-28       Impact factor: 2.801

7.  The message for World Kidney Day 2009: hypertension and kidney disease-a marriage that should be prevented.

Authors:  George L Bakris; Eberhard Ritz
Journal:  Pediatr Nephrol       Date:  2009-01-17       Impact factor: 3.714

8.  Effect of food insecurity on chronic kidney disease in lower-income Americans.

Authors:  Deidra C Crews; Marie Fanelli Kuczmarski; Vanessa Grubbs; Elizabeth Hedgeman; Vahakn B Shahinian; Michele K Evans; Alan B Zonderman; Nilka Rios Burrows; Desmond E Williams; Rajiv Saran; Neil R Powe
Journal:  Am J Nephrol       Date:  2014-01-08       Impact factor: 3.754

9.  Effect of Strict Volume Control on Renal Progression and Mortality in Non-Dialysis-Dependent Chronic Kidney Disease Patients: A Prospective Interventional Study.

Authors:  Kubra Esmeray; Oguzhan Sıtkı Dizdar; Selahattin Erdem; Ali İhsan Gunal
Journal:  Med Princ Pract       Date:  2018-08-27       Impact factor: 1.927

10.  Prevalence of chronic kidney disease in the Japanese general population.

Authors:  Enyu Imai; Masaru Horio; Tsuyoshi Watanabe; Kunitoshi Iseki; Kunihiro Yamagata; Shigeko Hara; Nobuyuki Ura; Yutaka Kiyohara; Toshiki Moriyama; Yasuhiro Ando; Shoichi Fujimoto; Tsuneo Konta; Hitoshi Yokoyama; Hirofumi Makino; Akira Hishida; Seiichi Matsuo
Journal:  Clin Exp Nephrol       Date:  2009-06-11       Impact factor: 2.801

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.