Polkinghorne, KR and Wolfe, R and Jachno, KM and Wetmore, JB and Woods, RL and McNeil, JJ and Nelson, MR and Reid, CM and Murray, AM, on behalf of the ASPREE Investigator Group, Prevalence of chronic kidney disease in the elderly using the ASPirin in Reducing Events in the Elderly study cohort, Nephrology, 24, (12) pp. 1248-1256. ISSN 1320-5358 (2019) [Refereed Article]
Copyright 2019 Asian Pacific Society of Nephrology
Methods: GFR was estimated using CKD-EPI and BIS1 equations. CKD was defined as eGFR <60 mL/min/1.73 m2 or ≥ 60 mL/min/1.73 m2 with urine albumin creatinine ratio (UACR) ≥ 3 mg/mmol. Logistic regression was used to identify predictors of CKD prevalence defined by each eGFR equation.
Results: Data for analysis were complete for 17,762 participants. Mean age was 75.1 years (SD 5); 56.4% were female, 76.4% had hypertension, 9% had diabetes mellitus. Mean CKD-EPIeGFR was 73.0 (SD 14.2), compared with mean BIS1eGFR of 62.7 (11.4). Median UACR was 0.8 (IQR 0.5, 1.5) mg/mmol. Prevalence of CKD by CKD-EPIeGFR was 27% (predominantly due to normoalbuminuric stage 3a CKD), substantially lower than 47.1% by BIS1eGFR; the difference was predominantly driven by reclassification of individuals from G1 and G2 CKD to stage G3a without albuminuria. Increased prevalence of CKD by either equation was related to older age, hypertension, diabetes, or higher body mass index.
Conclusions: Prevalence of CKD with CKD-EPIeGFR was 27%, and doubled using the elderly specific BIS1eGFR, with most participants reclassified from stage 2 to stage 3a. Increased prevalence of CKD was related older age, hypertension, diabetes, or increased body mass index.
|Item Type:||Refereed Article|
|Keywords:||albuminuria, chronic kidney disease, elderly, estimated glomerular filtration rate, prevalence|
|Research Division:||Biomedical and Clinical Sciences|
|Research Group:||Clinical sciences|
|Research Field:||Nephrology and urology|
|Objective Group:||Clinical health|
|Objective Field:||Clinical health not elsewhere classified|
|UTAS Author:||Nelson, MR (Professor Mark Nelson)|
|Web of Science® Times Cited:||9|
|Deposited By:||Menzies Institute for Medical Research|
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