Modeling Major Adverse Outcomes of Pediatric and Adult Patients With Congenital Heart Disease Undergoing Cardiac Catheterization

  • Natalie Jayaram
    Children’s Mercy Hospitals and Clinics, Kansas City, MO (N.J.)
  • John A. Spertus
    Saint Luke’s Mid America Heart Institute, Kansas City, MO (J.A.S., K.F.K.)
  • Kevin F. Kennedy
    Saint Luke’s Mid America Heart Institute, Kansas City, MO (J.A.S., K.F.K.)
  • Robert Vincent
    Sibley Heart Center–Emory Children’s Center, Egelston, GA (R.V.)
  • Gerard R. Martin
    Children’s National Health System, Washington, DC (G.R.M.)
  • Jeptha P. Curtis
    Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (J.P.C.)
  • David Nykanen
    Arnold Palmer Hospital for Children and the University of Central Florida, Orlando (D.N.)
  • Phillip M. Moore
    UCSF Benioff Children’s Hospital and the University of California, San Francisco (P.M.M.)
  • Lisa Bergersen
    Boston Children’s Hospital, MA (L.B.).

書誌事項

タイトル別名
  • Observations From the NCDR IMPACT Registry (National Cardiovascular Data Registry Improving Pediatric and Adult Congenital Treatment)

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説明

<jats:sec> <jats:title>Background:</jats:title> <jats:p>Risk standardization for adverse events after congenital cardiac catheterization is needed to equitably compare patient outcomes among different hospitals as a foundation for quality improvement. The goal of this project was to develop a risk-standardization methodology to adjust for patient characteristics when comparing major adverse outcomes in the NCDR’s (National Cardiovascular Data Registry) IMPACT Registry (Improving Pediatric and Adult Congenital Treatment).</jats:p> </jats:sec> <jats:sec> <jats:title>Methods:</jats:title> <jats:p>Between January 2011 and March 2014, 39 725 consecutive patients within IMPACT undergoing cardiac catheterization were identified. Given the heterogeneity of interventional procedures for congenital heart disease, new procedure-type risk categories were derived with empirical data and expert opinion, as were markers of hemodynamic vulnerability. A multivariable hierarchical logistic regression model to identify patient and procedural characteristics predictive of a major adverse event or death after cardiac catheterization was derived in 70% of the cohort and validated in the remaining 30%.</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p> The rate of major adverse event or death was 7.1% and 7.2% in the derivation and validation cohorts, respectively. Six procedure-type risk categories and 6 independent indicators of hemodynamic vulnerability were identified. The final risk adjustment model included procedure-type risk category, number of hemodynamic vulnerability indicators, renal insufficiency, single-ventricle physiology, and coagulation disorder. The model had good discrimination, with a C-statistic of 0.76 and 0.75 in the derivation and validation cohorts, respectively. Model calibration in the validation cohort was excellent, with a slope of 0.97 (standard error, 0.04; <jats:italic>P</jats:italic> value [for difference from 1] =0.53) and an intercept of 0.007 (standard error, 0.12; <jats:italic>P</jats:italic> value [for difference from 0] =0.95). </jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions:</jats:title> <jats:p>The creation of a validated risk-standardization model for adverse outcomes after congenital cardiac catheterization can support reporting of risk-adjusted outcomes in the IMPACT Registry as a foundation for quality improvement.</jats:p> </jats:sec>

収録刊行物

  • Circulation

    Circulation 136 (21), 2009-2019, 2017-11-21

    Ovid Technologies (Wolters Kluwer Health)

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