Predicting mortality in older adults with kidney disease: a pragmatic prediction model.
OBJECTIVE
To develop mortality risk prediction models for older adults with chronic kidney disease (CKD) that include comorbidities and measures of health status and use not associated with particular comorbid conditions (nondisease-specific measures).


METHODS
Retrospective cohort study.


METHODS
Kaiser Permanente Northwest (KPNW) Health Maintenance Organization.


METHODS
Individuals with severe CKD (estimated glomerular filtration rate<30 mL/min per 1.73 m2; N=4,054; n=1,915 aged 65-79, n=2,139 aged ≥80) who received care at KPNW between 2000 and 2008.


METHODS
Cox proportional hazards analysis was used to examine the association between selected participant characteristics and all-cause mortality and to generate age group-specific risk prediction models. Predicted and observed risks were evaluated according to quintile. Predictors from the Cox models were translated into a points-based system. Internal validation was used to provide best estimates of how these models might perform in an external population.


RESULTS
The risk prediction models used 16 characteristics to identify participants with the highest risk of mortality at 2 years for adults aged 65 to 79 and 80 and older. Predicted and observed risks agreed within 5% for each quintile; a 4 to 5 times difference in 2-year predicted mortality risk was observed between the highest and lowest quintiles. The c-statistics for each model (0.68-0.69) indicated effective discrimination without evidence of significant overfit (slope shrinkage 0.06-0.09). Models for each age group performed similarly for mortality prediction at 6 months and 2 years in terms of discrimination and calibration.


CONCLUSIONS
When validated, these risk prediction models may be helpful in supporting discussions about prognosis and treatment decisions sensitive to prognosis in older adults with CKD in real-world clinical settings.
Division of Nephrology and Hypertension, Oregon Health & Sciences University, Portland, Oregon.
Jessica W
JW
Weiss
Robert W
RW
Platt
Micah L
ML
Thorp
Xiuhai
X
Yang
David H
DH
Smith
Amanda
A
Petrik
Elizabeth
E
Eckstrom
Cynthia
C
Morris
Ann M
AM
O'Hare
Eric S
ES
Johnson
D000368:Aged; D000369:Aged, 80 and over; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D011379:Prognosis; D051436:Renal Insufficiency, Chronic / Q000150:complications / Q000401:mortality*; D012189:Retrospective Studies; D018570:Risk Assessment
chronic kidney disease; elderly; mortality; risk