Predictive models for acute kidney injury following cardiac surgery.
BACKGROUND
Accurate prediction of cardiac surgery-associated acute kidney injury (AKI) would improve clinical decision making and facilitate timely diagnosis and treatment. The aim of the study was to develop predictive models for cardiac surgery-associated AKI using presurgical and combined pre- and intrasurgical variables.


METHODS
Prospective observational cohort.


METHODS
25,898 patients who underwent cardiac surgery at Cleveland Clinic in 2000-2008.


METHODS
Presurgical and combined pre- and intrasurgical variables were used to develop predictive models.


RESULTS
Dialysis therapy and a composite of doubling of serum creatinine level or dialysis therapy within 2 weeks (or discharge if sooner) after cardiac surgery.


RESULTS
Incidences of dialysis therapy and the composite of doubling of serum creatinine level or dialysis therapy were 1.7% and 4.3%, respectively. Kidney function parameters were strong independent predictors in all 4 models. Surgical complexity reflected by type and history of previous cardiac surgery were robust predictors in models based on presurgical variables. However, the inclusion of intrasurgical variables accounted for all explained variance by procedure-related information. Models predictive of dialysis therapy showed good calibration and superb discrimination; a combined (pre- and intrasurgical) model performed better than the presurgical model alone (C statistics, 0.910 and 0.875, respectively). Models predictive of the composite end point also had excellent discrimination with both presurgical and combined (pre- and intrasurgical) variables (C statistics, 0.797 and 0.825, respectively). However, the presurgical model predictive of the composite end point showed suboptimal calibration (P < 0.001).


CONCLUSIONS
External validation of these predictive models in other cohorts is required before wide-scale application.


CONCLUSIONS
We developed and internally validated 4 new models that accurately predict cardiac surgery-associated AKI. These models are based on readily available clinical information and can be used for patient counseling, clinical management, risk adjustment, and enrichment of clinical trials with high-risk participants.
Department of Nephrology and Hypertension, Cleveland Clinic, OH 44195, USA. demirjs@ccf.org
Sevag
S
Demirjian
Jesse D
JD
Schold
Jose
J
Navia
Tara M
TM
Mastracci
Emil P
EP
Paganini
Jean-Pierre
JP
Yared
Charles A
CA
Bashour
D058186:Acute Kidney Injury / Q000453:epidemiology / Q000209:etiology*; D000368:Aged; D006348:Cardiac Surgical Procedures / Q000009:adverse effects*; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D011379:Prognosis; D011446:Prospective Studies