Combining GFR and Albuminuria to Classify CKD Improves Prediction of ESRD
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Key result
Combining eGFR and albuminuria for CKD classification reduced the required referral population from 4.7% to 1.4% while maintaining similar detection of ESRD progression (65.6% vs 69.4%).
Why the study?
Does combining estimated GFR and albuminuria improve the prediction of progression to end-stage renal disease in the general adult population?
Population
65,589 adults from the general population participating in the Nord-Trøndelag Health Study in Norway, mean…
Design
Cohort
Follow-up
10.3 yr
Authors
Discussion
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Implication
May reduce unnecessary CKD referrals; hypothesis-generating for practice change pending prospective validation.
Study Design
Type
Cohort (n=65,589)
Structured PICO
Does combining estimated GFR and albuminuria improve the prediction of progression to end-stage renal disease in the general adult population?
P
Population
65,589 adults from the general population participating in the Nord-Trøndelag Health (HUNT 2) Study in Norway, mean age 50.1 years, 46.8% male.
O
Outcome
Progression to end-stage renal disease (ESRD) after 10.3 years of follow-uphard clinical
Main Result
Absolute Event Rate: 65.6% vs 69.4%
p-value: p=<0.001
Combining eGFR and urinary albumin quantification significantly improves the prediction of ESRD progression compared to eGFR alone, allowing for more accurate and efficient specialist referral.
Limitations
- Validity of ESRD as a primary outcome due to competing cardiovascular death
- Potential misclassification bias from low-risk groups
- Only a subgroup was invited to deliver urine for albumin testing, requiring multiple imputation
- Imprecision of the MDRD formula in the range of near-normal values
- Homogeneous study population decreases generalizability to other ethnic groups
Cite This Study
Hallan et al. (2009) conducted a cohort in Chronic kidney disease (n=65,589). Combined eGFR and albuminuria classification vs. eGFR alone (current stages 3 to 4 CKD) was evaluated on Progression to ESRD (p=<0.001). Combining eGFR and albuminuria for CKD classification reduced the required referral population from 4.7% to 1.4% while maintaining similar detection of ESRD progression (65.6% vs 69.4%).
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