Literature DB >> 22764191

Short-term change in kidney function and risk of end-stage renal disease.

Tanvir Chowdhury Turin1, Josef Coresh, Marcello Tonelli, Paul E Stevens, Paul E de Jong, Christopher K T Farmer, Kunihiro Matsushita, Brenda R Hemmelgarn.   

Abstract

BACKGROUND: It is unclear what degree of change in the eGFR over a 1-year period indicates clinically significant progression, and whether this change adds additional information beyond that obtained by a single eGFR measure alone.
METHODS: We included 598 397 adults who had at least two outpatient eGFR measurements (at least 6 months apart) during 1-year accrual period in Alberta, Canada. Change in kidney function (using the first and last eGFR) was defined by change in kidney function category with confirmation based on percent (%) change in eGFR [(last eGFR - first eGFR)/first eGFR × 100]. The groups for change in kidney function were thus defined as: 'certain drop' (drop in CKD category with ≥25% decrease in the eGFR); 'uncertain drop' (drop in CKD category with <25% decrease in the eGFR); 'stable' (no change in CKD category); 'uncertain rise' (rise in CKD category with <25% rise in the eGFR) and 'certain rise' (rise in CKD category with ≥25% increase in the eGFR). Adjusted end-stage renal disease (ESRD) rates (per 1000 person-years) for each group of change in kidney function were calculated using Poisson regression. Adjusted risks of ESRD associated with change in kidney function, in reference to stable kidney function, were estimated.
RESULTS: Among the 598 397 participants, 74.8% (n = 447 570) had stable (no change in CKD category), 3.3% (n = 19 591) had a certain drop and 3.7% (n = 22 171) had a certain rise in kidney function. Participants who experienced a certain change in kidney function (both drop and rise) were older, more likely to be female, and had a higher prevalence of comorbidities, in comparison with those with stable kidney function. There were 1966 (0.3%) ESRD events over a median follow-up of 3.5 years. Compared with participants with stable kidney function, after adjustment for covariates, and the first eGFR measurement, those with certain drop had 5-fold increased risk of ESRD (HR: 5.11; 95% CI: 4.56-5.71), whereas those with an uncertain drop had 2-fold increased risk (HR: 2.13; 95% CI: 1.84-2.47). After adjustment for the eGFR and covariates at the last visit, neither a certain nor uncertain drop in the eGFR was associated with an increased ESRD risk. The ESRD risk associated with the last eGFR level, adjusted for the slope over time, were 2.89 (95% CI: 2.35-3.55), 10.98 (95% CI: 8.69-13.87), 35.20 (95% CI: 27.95-44.32) and 147.96 (116.92-187.23) for categories 2, 3a, 3b and 4, respectively, in reference to category 1.
CONCLUSIONS: A change in eGFR category accompanied by ≥25% decline (certain drop) is associated with increased ESRD risk. However, this elevated risk is captured by patient characteristics and eGFR at the last visit, suggesting that eGFR trajectories based on more than two serum creatinine measurements over a period longer than 1 year are required to determine ESRD risk and allow more reliable risk prediction.

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Year:  2012        PMID: 22764191     DOI: 10.1093/ndt/gfs263

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  43 in total

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2.  Evidence-Based Decision Making 6: Administrative Databases as Secondary Data Source for Epidemiologic and Health Service Research.

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3.  Guidelines for clinical evaluation of chronic kidney disease : AMED research on regulatory science of pharmaceuticals and medical devices.

Authors:  Eiichiro Kanda; Naoki Kashihara; Kunihiro Matsushita; Tomoko Usui; Hirokazu Okada; Kunitoshi Iseki; Kenichi Mikami; Tetsuhiro Tanaka; Takashi Wada; Hirotaka Watada; Kohjiro Ueki; Masaomi Nangaku
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4.  Diabetes mellitus as a cause or comorbidity of chronic kidney disease and its outcomes: the Gonryo study.

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Journal:  Clin Exp Nephrol       Date:  2017-07-27       Impact factor: 2.801

5.  Past Decline Versus Current eGFR and Subsequent ESRD Risk.

Authors:  Csaba P Kovesdy; Josef Coresh; Shoshana H Ballew; Mark Woodward; Adeera Levin; David M J Naimark; Joseph Nally; Dietrich Rothenbacher; Benedicte Stengel; Kunitoshi Iseki; Kunihiro Matsushita; Andrew S Levey
Journal:  J Am Soc Nephrol       Date:  2015-12-11       Impact factor: 10.121

6.  The Effects of eGFR Change on CVD, Renal, and Mortality Outcomes in a Hypertensive Cohort Treated With 3 Different Antihypertensive Medications.

Authors:  Joshua I Barzilay; Barry R Davis; Sara L Pressel; Alokananda Ghosh; Mahboob Rahman; Paula T Einhorn; William C Cushman; Paul K Whelton; Jackson T Wright
Journal:  Am J Hypertens       Date:  2018-04-13       Impact factor: 2.689

Review 7.  Renal function trajectory over time and adverse clinical outcomes.

Authors:  Badrul Munir Sohel; Nahid Rumana; Masaki Ohsawa; Tanvir Chowdhury Turin; Martina Ann Kelly; Mohammad Al Mamun
Journal:  Clin Exp Nephrol       Date:  2016-01-04       Impact factor: 2.801

8.  Long term renal function in Asian HIV-1 infected adults receiving tenofovir disoproxil fumarate without protease inhibitors.

Authors:  Geoffroy Liegeon; Linda Harrison; Anouar Nechba; Guttiga Halue; Sukit Banchongkit; Ampaipith Nilmanat; Naruepon Yutthakasemsunt; Panita Pathipvanich; Suchart Thongpaen; Rittha Lertkoonalak; Thomas Althaus; Marc Lallemant; Jean-Yves Mary; Gonzague Jourdain
Journal:  J Infect       Date:  2019-08-08       Impact factor: 6.072

9.  Predialysis Kidney Function and Its Rate of Decline Predict Mortality and Hospitalizations After Starting Dialysis.

Authors:  Melissa Soohoo; Elani Streja; Yoshitsugu Obi; Connie M Rhee; Daniel L Gillen; Keiichi Sumida; Danh V Nguyen; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Mayo Clin Proc       Date:  2018-07-04       Impact factor: 7.616

10.  Clinical and metabolomic risk factors associated with rapid renal function decline in sickle cell disease.

Authors:  Julia Z Xu; Melanie E Garrett; Karen L Soldano; Sean T Chen; Clary B Clish; Allison E Ashley-Koch; Marilyn J Telen
Journal:  Am J Hematol       Date:  2018-09-27       Impact factor: 10.047

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