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. Author manuscript; available in PMC: 2013 May 1.
Published in final edited form as: Circ Heart Fail. 2012 May 1;5(3):303–306. doi: 10.1161/CIRCHEARTFAILURE.112.968545

Table.

Studies comparing MDRD Study and CKD-EPI equations for long term risk

Author, Date,
Study
Population
Description,
number of
participants
Age* eGFR > 60
ml/min/1.73
m2 (%)
Creatinine
assay
calibration^
Outcomes Relative risk
in those
classified by
the CKD-EPI
equation to a
higher GFR
category װ
Relative risk
in those
classified by
the CKD-EPI
equation to a
lower GFR
category װ
McAllister 2012;
MAGGIC
Heart failure,
n=20,754
68 55 N All-cause
mortality
AlFaleh; 2012;
SPACE
Acute coronary
syndrome,
n =5,034
58 74 N In-hospital
mortality
NR NR
Skali et al; 2011;
VALIANT
AMI with heart
failure,
n =14,527
66 69 Y Composite of
cardiovascular
death,
congestive HF,
recurrent MI, or
stroke
Stevens; 2010
KEEP
High risk,
n =116,321
55** 86 Y All-cause
mortality
White; 2010; AusDiab High risk,
n = 11,247
52 93 Y All-cause
mortality
NR
Matsushita; 2010; ARIC General
population,
n =13,905
54 98 Y ESRD, all-
cause mortality,
coronary heart
disease, stroke
↓ for all
outcomes
↑ for all
outcomes

Studies identified by searching Medline for studies that have compared the CKD-EPI and MDRD Study equations for prognosis

*

Mean or median, as reported in the paper or weighted mean calculated across subgroups

^

Assay calibration appropriate for each equation

װ

Compared to those not reclassified

**

Mean age from KEEP population reported separately

MAGGIC,Meta-analysis Global Group in Chronic Heart Failure; SPACE; The Saudi Project for Assessment of Coronary Events; VALIANT; Valsartan in Acute Myocardial Infarction Trial; AMI, Acute Myocardial Infarction; KEEP, Kidney Early Evaluation Program; AusDiab; Australian Diabetes, Obesity and Life Style Study Survey; ARIC Atherosclerosis Risk in Communities; ESRD, End Stage Renal Disease; N, no; Y, yes; NR, Not Reported;