title: A novel clinical prediction rule for 30-day mortality following balloon aortic valuloplasty: the CRRAC the AV score.
abstract: OBJECTIVE
  We seek to identify predictors of 30-day mortality after balloon aortic valvuloplasty (BAV).
  
  
  BACKGROUND
  To date, there is no validated method of predicting patient outcomes after percutaneous aortic valve interventions.
  
  
  METHODS
  Data for consecutive patients with severe aortic stenosis who underwent BAV at the Mount Sinai Medical Center from January 2001 to July 2007 were retrospectively reviewed. Cox-proportional hazards regression was used to identify significant predictors of 30-day mortality, and the resultant model was compared to the EuroSCORE using Akaike's Information Criterion and area under the receiver-operating curve (AUC).
  
  
  RESULTS
  The analysis included 281 patients (age 83 ± 9 years, 61% women, aortic valve area: 0.64 ± 0.2 cm(2)) and 36 (12.8%) of whom died within 30 days of BAV. With identified risk factors for 30-day mortality, critical status, renal dysfunction, right atrial pressure, and cardiac output, we constructed the CRRAC the AV risk score. Thirty-day survival was 72% in the highest tertile versus 94% in the lower two tertiles of the score. Compared to the additive and logistic EuroSCORE, the risk score demonstrated superior discrimination (AUC = 0.75 vs. 0.60 and 0.63, respectively).
  
  
  CONCLUSIONS
  We derived a risk score, the CRRAC the AV score that identifies patients at high-risk of 30-day mortality after BAV. Validation of the developed risk prediction score, the CRRAC the AV score, is needed in other cohorts of post-BAV patients and potentially in patients undergoing other catheter-based valve interventions.
authors.affiliation: Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai School of Medicine, New York, New York, USA.
authors.forename: Sammy
authors.initials: S
authors.lastname: Elmariah
authors.forename: Steven A
authors.initials: SA
authors.lastname: Lubitz
authors.forename: Amil M
authors.initials: AM
authors.lastname: Shah
authors.forename: Marc A
authors.initials: MA
authors.lastname: Miller
authors.forename: Dheeraj
authors.initials: D
authors.lastname: Kaplish
authors.forename: Sharad
authors.initials: S
authors.lastname: Kothari
authors.forename: Pedro R
authors.initials: PR
authors.lastname: Moreno
authors.forename: Annapoorna S
authors.initials: AS
authors.lastname: Kini
authors.forename: Samin K
authors.initials: SK
authors.lastname: Sharma
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001024:Aortic Valve Stenosis / Q000175:diagnosis / Q000401:mortality / Q000503:physiopathology / Q000628:therapy*; D016280:Atrial Function, Right; D002302:Cardiac Output; D002404:Catheterization / Q000401:mortality*; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D053208:Kaplan-Meier Estimate; D007668:Kidney / Q000503:physiopathology; D007674:Kidney Diseases / Q000401:mortality / Q000503:physiopathology; D016015:Logistic Models; D008297:Male; D009519:New York City / Q000453:epidemiology; D011237:Predictive Value of Tests; D011312:Pressure; D016016:Proportional Hazards Models; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D013997:Time Factors; D016896:Treatment Outcome