Original Investigation
Pathogenesis and Treatment of Kidney Disease
A Meta-analysis of the Association of Estimated GFR, Albuminuria, Diabetes Mellitus, and Hypertension With Acute Kidney Injury

https://doi.org/10.1053/j.ajkd.2015.02.338Get rights and content

Background

Diabetes mellitus and hypertension are risk factors for acute kidney injury (AKI). Whether estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio (ACR) remain risk factors for AKI in the presence and absence of these conditions is uncertain.

Study Design

Meta-analysis of cohort studies.

Setting & Population

8 general-population (1,285,045 participants) and 5 chronic kidney disease (CKD; 79,519 participants) cohorts.

Selection Criteria for Studies

Cohorts participating in the CKD Prognosis Consortium.

Predictors

Diabetes and hypertension status, eGFR by the 2009 CKD Epidemiology Collaboration creatinine equation, urine ACR, and interactions.

Outcome

Hospitalization with AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.

Results

During a mean follow-up of 4 years, there were 16,480 episodes of AKI in the general-population and 2,087 episodes in the CKD cohorts. Low eGFRs and high ACRs were associated with higher risks of AKI in individuals with or without diabetes and with or without hypertension. When compared to a common reference of eGFR of 80 mL/min/1.73 m2 in nondiabetic patients, HRs for AKI were generally higher in diabetic patients at any level of eGFR. The same was true for diabetic patients at all levels of ACR compared with nondiabetic patients. The risk gradient for AKI with lower eGFRs was greater in those without diabetes than with diabetes, but similar with higher ACRs in those without versus with diabetes. Those with hypertension had a higher risk of AKI at eGFRs > 60 mL/min/1.73 m2 than those without hypertension. However, risk gradients for AKI with both lower eGFRs and higher ACRs were greater for those without than with hypertension.

Limitations

AKI identified by diagnostic code.

Conclusions

Lower eGFRs and higher ACRs are associated with higher risks of AKI among individuals with or without either diabetes or hypertension.

Section snippets

Study Selection Criteria

Studies were selected according to criteria of the CKD Prognosis Consortium (CKD-PC), as previously described.15 We included studies of general-population and CKD cohorts with baseline information about eGFR and albuminuria and at least 50 AKI events. We restricted all analyses to adults 18 years or older. Data transfer and analyses were done from October 2013 through June 2014. The Institutional Review Board (IRB) at the Johns Hopkins Bloomberg School of Public Health approved the study (IRB

Participant Characteristics

We included 1,285,045 participants from 8 general-population cohorts (mean follow-up, 4-13 years) and 79,519 participants from 5 CKD cohorts (mean follow-up, 1-5 years; Table 1). The prevalence of diabetes and hypertension ranged from 4% to 34% and 20% to 82%, respectively, in the general-population cohorts and 14% to 89% and 42% to 93%, respectively, in the CKD cohorts. Among the general-population cohorts, there were 16,480 AKI events, and 0.2% to 6% of the individual study populations

Discussion

In this meta-analysis, lower eGFRs and higher levels of albuminuria were independently associated with increased risks of AKI in individuals with and without diabetes and hypertension, with the highest risks of AKI consistently observed in individuals with low eGFRs and high albuminuria regardless of the presence or absence of these conditions. Persons with diabetes generally had higher risks of AKI compared with individuals without diabetes at any level of eGFR, but this difference was

Acknowledgements

CKD-PC investigators and collaborators (expansions of acronyms/ abbreviations are listed in Item S2): AKDN: Marcello Tonelli, MD, SM, Brenda R. Hemmelgarn, MD, PhD, Matthew T. James, MD, PhD, and Tanvir Chowdhury Turin, MD, PhD, University of Calgary, Canada; ARIC: Josef Coresh, MD, PhD, Kunihiro Matsushita, MD, PhD, Morgan Grams, MD, PhD, and Yingying Sang, MS, Johns Hopkins University, United States; CHS: Michael Shlipak, MD, MPH, University of California, San Francisco and San Francisco

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    Because an author of this article is an editor for AJKD, the peer-review and decision-making processes were handled entirely by an Associate Editor (Beth Piraino, MD) who served as Acting Editor-in-Chief. Details of the journal’s procedures for potential editor conflicts are given in the Information for Authors & Journal Policies.

    A list of the CKD Prognosis Consortium investigators and collaborators appears in the Acknowledgements.

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