%0 Journal Article %A M.D.I. Vergouwen %A J. Fang %A L.K. Casaubon %A M.K. Kapral %A M. Stamplecoski %A A. Robertson %A F.L. Silver %T A 5-Item Prediction Rule to Identify Severe Renal Dysfunction in Patients with Acute Stroke %D 2012 %R 10.3174/ajnr.A3013 %J American Journal of Neuroradiology %X BACKGROUND AND PURPOSE: Although patients with severe renal dysfunction who receive iodinated contrast are at high risk of CIN, contrast-enhanced CT scans are often obtained without prior knowledge of kidney function in patients with acute stroke. We aimed to develop a tool to identify patients with acute stroke at a high risk of CIN in the absence of a recent GFR. MATERIALS AND METHODS: We used the RCSN (9872 patients) and OSA (2544 patients) for our derivation and validation cohort, respectively. A multivariable logistic regression model was performed to develop a predictive tool to identify severe renal dysfunction (defined as a GFR < 30 mL/min/1.73 m2). RESULTS: The overall prevalence of severe renal dysfunction was 4.9% and 5.2% in the derivation and validation cohort, respectively. The prediction rule was designed as follows: (age in years) = (5 points for women) = (5 points for history of diabetes mellitus) = (15 points for preadmission insulin use) = (10 points for history of hypertension). The prevalence of severe renal dysfunction is negligible in patients with a total score of ≤70 (≤0.005%–0.7%) but increases with higher Renal Risk Scores (eg, scores 71–80: 2.1%–2.2%; scores 91–100: 6.6%–7.1%; scores 111–120: 15.9%–28.1%). CONCLUSIONS: The Renal Risk Score is a validated tool that helps clinicians select which patients with stroke can safely proceed to contrast-enhanced brain imaging without waiting for laboratory evidence of good renal function. Abbreviations CIconfidence intervalCINcontrast-induced nephropathyCKD-EPIChronic Kidney Disease Epidemiology CollaborationGFRglomerular filtration rateIQRinterquartile rangeORodds ratioOSAOntario Stroke AuditRCSNRegistry of the Canadian Stroke Network %U https://www.ajnr.org/content/ajnr/early/2012/04/05/ajnr.A3013.full.pdf