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Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality.

Publication ,  Journal Article
Jacobs, ML; Jacobs, JP; Thibault, D; Hill, KD; Anderson, BR; Eghtesady, P; Karamlou, T; Kumar, SR; Mayer, JE; Mery, CM; Nathan, M; Overman, DM ...
Published in: World J Pediatr Congenit Heart Surg
March 2021

OBJECTIVES: STAT Mortality Categories (developed 2009) stratify congenital heart surgery procedures into groups of increasing mortality risk to characterize case mix of congenital heart surgery providers. This update of the STAT Mortality Score and Categories is empirically based for all procedures and reflects contemporary outcomes. METHODS: Cardiovascular surgical operations in the Society of Thoracic Surgeons Congenital Heart Surgery Database (January 1, 2010 - June 30, 2017) were analyzed. In this STAT 2020 Update of the STAT Mortality Score and Categories, the risk associated with a specific combination of procedures was estimated under the assumption that risk is determined by the highest risk individual component procedure. Operations composed of multiple component procedures were eligible for unique STAT Scores when the statistically estimated mortality risk differed from that of the highest risk component procedure. Bayesian modeling accounted for small denominators. Risk estimates were rescaled to STAT 2020 Scores between 0.1 and 5.0. STAT 2020 Category assignment was designed to minimize within-category variation and maximize between-category variation. RESULTS: Among 161,351 operations at 110 centers (19,090 distinct procedure combinations), 235 types of single or multiple component operations received unique STAT 2020 Scores. Assignment to Categories resulted in the following distribution: STAT 2020 Category 1 includes 59 procedure codes with model-based estimated mortality 0.2% to 1.3%; Category 2 includes 73 procedure codes with mortality estimates 1.4% to 2.9%; Category 3 includes 46 procedure codes with mortality estimates 3.0% to 6.8%; Category 4 includes 37 procedure codes with mortality estimates 6.9% to 13.0%; and Category 5 includes 17 procedure codes with mortality estimates 13.5% to 38.7%. The number of procedure codes with empirically derived Scores has grown by 58% (235 in STAT 2020 vs 148 in STAT 2009). Of the 148 procedure codes with empirically derived Scores in 2009, approximately one-half have changed STAT Category relative to 2009 metrics. The New STAT 2020 Scores and Categories demonstrated good discrimination for predicting mortality in an independent validation sample (July 1, 2017-June 30, 2019; sample size 46,933 operations at 108 centers) with C-statistic = 0.791 for STAT 2020 Score and 0.779 for STAT 2020 Category. CONCLUSIONS: The updated STAT metrics reflect contemporary practice and outcomes. New empirically based STAT 2020 Scores and Category designations are assigned to a larger set of procedure codes, while accounting for risk associated with multiple component operations. Updating STAT metrics based on contemporary outcomes facilitates accurate assessment of case mix.

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Published In

World J Pediatr Congenit Heart Surg

DOI

EISSN

2150-136X

Publication Date

March 2021

Volume

12

Issue

2

Start / End Page

246 / 281

Location

United States

Related Subject Headings

  • United States
  • Survival Rate
  • Risk Assessment
  • Male
  • Humans
  • Hospital Mortality
  • Heart Defects, Congenital
  • Female
  • Cardiac Surgical Procedures
  • Bayes Theorem
 

Citation

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Jacobs, M. L., Jacobs, J. P., Thibault, D., Hill, K. D., Anderson, B. R., Eghtesady, P., … O’Brien, S. M. (2021). Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality. World J Pediatr Congenit Heart Surg, 12(2), 246–281. https://doi.org/10.1177/2150135121991528
Jacobs, Marshall L., Jeffrey P. Jacobs, Dylan Thibault, Kevin D. Hill, Brett R. Anderson, Pirooz Eghtesady, Tara Karamlou, et al. “Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality.World J Pediatr Congenit Heart Surg 12, no. 2 (March 2021): 246–81. https://doi.org/10.1177/2150135121991528.
Jacobs ML, Jacobs JP, Thibault D, Hill KD, Anderson BR, Eghtesady P, et al. Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality. World J Pediatr Congenit Heart Surg. 2021 Mar;12(2):246–81.
Jacobs, Marshall L., et al. “Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality.World J Pediatr Congenit Heart Surg, vol. 12, no. 2, Mar. 2021, pp. 246–81. Pubmed, doi:10.1177/2150135121991528.
Jacobs ML, Jacobs JP, Thibault D, Hill KD, Anderson BR, Eghtesady P, Karamlou T, Kumar SR, Mayer JE, Mery CM, Nathan M, Overman DM, Pasquali SK, St Louis JD, Shahian D, O’Brien SM. Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality. World J Pediatr Congenit Heart Surg. 2021 Mar;12(2):246–281.

Published In

World J Pediatr Congenit Heart Surg

DOI

EISSN

2150-136X

Publication Date

March 2021

Volume

12

Issue

2

Start / End Page

246 / 281

Location

United States

Related Subject Headings

  • United States
  • Survival Rate
  • Risk Assessment
  • Male
  • Humans
  • Hospital Mortality
  • Heart Defects, Congenital
  • Female
  • Cardiac Surgical Procedures
  • Bayes Theorem