Updating an Empirically Based Tool for Analyzing Congenital Heart Surgery Mortality

Author:

Jacobs Marshall L.1,Jacobs Jeffrey P.2ORCID,Thibault Dylan3,Hill Kevin D.4,Anderson Brett R.5ORCID,Eghtesady Pirooz6,Karamlou Tara7,Kumar S. Ram8ORCID,Mayer John E.9,Mery Carlos M.10,Nathan Meena9,Overman David M.11,Pasquali Sara K.12,St. Louis James D.13,Shahian David14,O’Brien Sean M.3

Affiliation:

1. Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA

2. Department of Surgery, University of Florida, Gainesville, FL, USA

3. Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA

4. Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA

5. Division of Pediatric Cardiology, Columbia University Irving Medical Center, New York, NY, USA

6. Cardiothoracic Surgery, Washington University in Saint Louis School of Medicine, St Louis, MO, USA

7. Division of Pediatric Cardiac Surgery, Cleveland Clinic, Cleveland, OH, USA

8. Department of Surgery, University of Southern California, Los Angeles, CA, USA

9. Department of Cardiovascular Surgery, Boston Children’s Hospital, Boston, MA, USA

10. Texas Center for Pediatric and Congenital Heart Disease, University of Texas Dell Medical School/Dell Children’s Medical Center, Austin, TX, USA

11. Division of Cardiac Surgery, The Children’s Heart Clinic, Children’s Minnesota, Mayo Clinic-Children’s Minnesota Cardiovascular Collaborative, Minneapolis, MN, USA

12. Department of Pediatrics, University of Michigan C.S. Mott Children’s Hospital, Ann Arbor, MI, USA

13. Department of Surgery and Pediatrics, Children’s Hospital of Georgia, Augusta University, Augusta, GA, USA

14. Division of Cardiac Surgery, Department of Surgery, Center for Quality and Safety, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

Abstract

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.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,General Medicine,Pediatrics, Perinatology and Child Health,Surgery

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