Karnofsky performance score in acute renal failure as a predictor of short-term survival.
BACKGROUND
Karnofsky Performance Scale Index (KPS) is a measure of functional status that allows patients to be classified according to their functional impairment. We aim to assess if the prior KPS may predict the risk of death among patients with acute renal failure (ARF).


METHODS
A cohort of 668 consecutive patients who had been admitted in an university-affiliated hospital between June 2000 and June 2006, and had been diagnosed with ARF, were studied. Three hundred and eighty-six patients with ARF who matched at least one of the RIFLE (Risk, Injury, Failure, Loss and End stage) criteria on increased serum creatinine were included for subsequent analysis. The group was divided into four categories, according to different Karnofsky scores measured by a nephrologist (>or=80, 70, 60 and <or=50). We used an adjusted logistic regression model to assess the relationship between the Karnofky score and mortality.


RESULTS
A significant risk of in-hospital mortality within 90 days was observed when the other groups were compared with the >or=80 Karnofsky group. Adjusted odds ratios were 8.87 (95% confidence interval (CI) 3.03-25.99), 6.78 (95% CI 2.61-17.58) and 2.83 (95% CI 1.04-7.68), for Karnofsky groups of <or=50, 60 and 70, respectively. An adjusted odds ratio of 1.75 (95% CI 1.37-2.23) was observed for every 10 point decrease in KPS score.


CONCLUSIONS
Functional status as indicated by the KPS is an independent predictor of death in this cohort of patients with ARF. Patients who presented lower scores had increased mortality rates.
Perez Valdivieso
Jose Ramon
JR
Department of Anaesthesia and Critical Care, University Hospital of Navarra, University of Navarra, Pamplona Navarra, Spain. jrpvaldi@unav.es
Bes-Rastrollo
Maira
M
Monedero
Pablo
P
De Irala
Jokin
J
Lavilla
Francisco Javier
FJ
D058186:Acute Kidney Injury / Q000503:physiopathology*; D015331:Cohort Studies; D006801:Humans; D017567:Karnofsky Performance Status; D016019:Survival Analysis