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Am J Kidney Dis. 2008 Oct;52(4):653-60. doi: 10.1053/j.ajkd.2008.04.026. Epub 2008 Jun 30.

Predicting the risk of dialysis and transplant among patients with CKD: a retrospective cohort study.

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  • 1Center for Health Research, Kaiser Permanente Northwest, Portland, OR 97227, USA.

Abstract

BACKGROUND:

Providers need a reliable way to identify patients with chronic kidney disease (CKD) at the highest risk of progression to end-stage renal disease so they can intervene to slow progression and refer patients to nephrology for comanagement. We developed a risk score to predict the 5-year risk of renal replacement therapy (RRT) in patients with stage 3 or 4 CKD.

STUDY DESIGN:

Retrospective cohort study.

SETTING & PARTICIPANTS:

Participants were members of a health maintenance organization and met Kidney Disease Outcomes Quality Initiative criteria for stage 3 or 4 CKD during 1999 or 2000: two estimated glomerular filtration rate values of 15 to 59 mL/min/1.73 m(2).

PREDICTOR:

Characteristics collected during routine clinical practice.

OUTCOMES & MEASUREMENTS:

We ascertained the onset of RRT (dialysis or kidney transplantation) using the health maintenance organization databases. Cox regression predicted patient risk of RRT and generated a risk scoring system.

RESULTS:

9,782 patients experienced a 3.3% five-year progression to RRT (95% confidence interval, 2.9 to 3.7). Using 6 characteristics (age, sex, estimated glomerular filtration rate, diabetes, anemia, and hypertension), the risk score discriminated the highest risk patients effectively: 19.0% of patients in the highest risk quintile experienced progression, and 0.2% of patients in the lowest risk quintile experienced progression. The c statistic also showed effective discrimination: 0.89 on a scale of 0.5 to 1.0. Predicted and observed risks agreed within 1.0%--effective calibration. We present a range of predicted risk cutoff values from 1% to 20% and their test properties for decision makers' consideration.

LIMITATIONS:

Characteristics were measured without a protocol.

CONCLUSIONS:

The risk score can help providers identify patients with CKD at the highest risk of progression to improve referral to nephrology for comanagement. A separate risk score for mortality also is needed.

Comment in

  • Predicting outcomes in CKD. [Am J Kidney Dis. 2008]
PMID:
18585833
[PubMed - indexed for MEDLINE]
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