作者
Morgan E Grams, Yingying Sang, Shoshana H Ballew, Ron T Gansevoort, Heejin Kimm, Csaba P Kovesdy, David Naimark, Cecilia Oien, David H Smith, Josef Coresh, Mark J Sarnak, Benedicte Stengel, Marcello Tonelli, Brenda R Hemmelgarn, Matthew T James, Tanvir Chowdhury Turin, Kunihiro Matsushita, Morgan Grams, Michael Shlipak, Ronit Katz, David C Wheeler, Jonathan Emberson, Martin J Landray, Jonathan N Townend, Jamie Green, H Les Kirchner, Robert Perkins, Alex R Chang, Solfrid Romundstad, Knut Aasarød, Cecilia M Øien, Stein Hallan, Micah L Thorp, Eric S Johnson, Gabriel Chodick, Esma Herzel, Rachel Katz, Varda Shalev, Stephan JL Bakker, Hiddo J Lambers Heerspink, Pim van der Harst, Sun Ha Jee, Yejin Mok, Navdeep Tangri, Johan Ärnlöv, Anders Larsson, Lars Lannfelt, Kamyar Kalantar-Zadeh, Paul E de Jong, Kunitoshi Iseki, Andrew S Levey, David Warnock, Mark Woodward
发表日期
2015/10/1
来源
American Journal of Kidney Diseases
卷号
66
期号
4
页码范围
591-601
出版商
WB Saunders
简介
Background
Acute kidney injury (AKI) is a serious global public health problem. We aimed to quantify the risk of AKI associated with estimated glomerular filtration rate (eGFR), albuminuria (albumin-creatinine ratio [ACR]), age, sex, and race (African American and white).
Study Design
Collaborative meta-analysis.
Setting & Population
8 general-population cohorts (1,285,049 participants) and 5 chronic kidney disease (CKD) cohorts (79,519 participants).
Selection Criteria for Studies
Available eGFR, ACR, and 50 or more AKI events.
Predictors
Age, sex, race, eGFR, urine ACR, and interactions.
Outcome
Hospitalized with or for AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.
Results
16,480 (1.3%) general-population cohort participants had AKI over a mean follow-up of 4 years; 2,087 (2.6%) CKD participants had AKI over a mean follow-up of 1 year …
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ME Grams, Y Sang, SH Ballew, RT Gansevoort… - American Journal of Kidney Diseases, 2015