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CRISP: Catheterization RISk score for Pediatrics: A Report from the Congenital Cardiac Interventional Study Consortium (CCISC).

Publication ,  Journal Article
Nykanen, DG; Forbes, TJ; Du, W; Divekar, AA; Reeves, JH; Hagler, DJ; Fagan, TE; Pedra, CAC; Fleming, GA; Khan, DM; Javois, AJ; Gruenstein, DH ...
Published in: Catheter Cardiovasc Interv
February 1, 2016

OBJECTIVES: We sought to develop a scoring system that predicts the risk of serious adverse events (SAE's) for individual pediatric patients undergoing cardiac catheterization procedures. BACKGROUND: Systematic assessment of risk of SAE in pediatric catheterization can be challenging in view of a wide variation in procedure and patient complexity as well as rapidly evolving technology. METHODS: A 10 component scoring system was originally developed based on expert consensus and review of the existing literature. Data from an international multi-institutional catheterization registry (CCISC) between 2008 and 2013 were used to validate this scoring system. In addition we used multivariate methods to further refine the original risk score to improve its predictive power of SAE's. RESULTS: Univariate analysis confirmed the strong correlation of each of the 10 components of the original risk score with SAE attributed to a pediatric cardiac catheterization (P < 0.001 for all variables). Multivariate analysis resulted in a modified risk score (CRISP) that corresponds to an increase in value of area under a receiver operating characteristic curve (AUC) from 0.715 to 0.741. CONCLUSION: The CRISP score predicts risk of occurrence of an SAE for individual patients undergoing pediatric cardiac catheterization procedures.

Duke Scholars

Published In

Catheter Cardiovasc Interv

DOI

EISSN

1522-726X

Publication Date

February 1, 2016

Volume

87

Issue

2

Start / End Page

302 / 309

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Risk Factors
  • Risk Assessment
  • Reproducibility of Results
  • Registries
  • ROC Curve
  • Predictive Value of Tests
  • Pediatrics
  • Multivariate Analysis
  • Logistic Models
 

Citation

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Nykanen, D. G., Forbes, T. J., Du, W., Divekar, A. A., Reeves, J. H., Hagler, D. J., … Congenital Cardiac Interventional Study Consortium (CCISC), . (2016). CRISP: Catheterization RISk score for Pediatrics: A Report from the Congenital Cardiac Interventional Study Consortium (CCISC). Catheter Cardiovasc Interv, 87(2), 302–309. https://doi.org/10.1002/ccd.26300
Nykanen, David G., Thomas J. Forbes, Wei Du, Abhay A. Divekar, Jaxk H. Reeves, Donald J. Hagler, Thomas E. Fagan, et al. “CRISP: Catheterization RISk score for Pediatrics: A Report from the Congenital Cardiac Interventional Study Consortium (CCISC).Catheter Cardiovasc Interv 87, no. 2 (February 1, 2016): 302–9. https://doi.org/10.1002/ccd.26300.
Nykanen DG, Forbes TJ, Du W, Divekar AA, Reeves JH, Hagler DJ, et al. CRISP: Catheterization RISk score for Pediatrics: A Report from the Congenital Cardiac Interventional Study Consortium (CCISC). Catheter Cardiovasc Interv. 2016 Feb 1;87(2):302–9.
Nykanen, David G., et al. “CRISP: Catheterization RISk score for Pediatrics: A Report from the Congenital Cardiac Interventional Study Consortium (CCISC).Catheter Cardiovasc Interv, vol. 87, no. 2, Feb. 2016, pp. 302–09. Pubmed, doi:10.1002/ccd.26300.
Nykanen DG, Forbes TJ, Du W, Divekar AA, Reeves JH, Hagler DJ, Fagan TE, Pedra CAC, Fleming GA, Khan DM, Javois AJ, Gruenstein DH, Qureshi SA, Moore PM, Wax DH, Congenital Cardiac Interventional Study Consortium (CCISC). CRISP: Catheterization RISk score for Pediatrics: A Report from the Congenital Cardiac Interventional Study Consortium (CCISC). Catheter Cardiovasc Interv. 2016 Feb 1;87(2):302–309.
Journal cover image

Published In

Catheter Cardiovasc Interv

DOI

EISSN

1522-726X

Publication Date

February 1, 2016

Volume

87

Issue

2

Start / End Page

302 / 309

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Risk Factors
  • Risk Assessment
  • Reproducibility of Results
  • Registries
  • ROC Curve
  • Predictive Value of Tests
  • Pediatrics
  • Multivariate Analysis
  • Logistic Models