National Variation in Congenital Heart Surgery Outcomes

Author:

Pasquali Sara K.1ORCID,Thibault Dylan2,O’Brien Sean M.2,Jacobs Jeffrey P.3,Gaynor J. William4,Romano Jennifer C.5,Gaies Michael1ORCID,Hill Kevin D.2,Jacobs Marshall L.6,Shahian David M.7,Backer Carl L.8,Mayer John E.9

Affiliation:

1. Department of Pediatrics, University of Michigan C.S. Mott Children’s Hospital, Ann Arbor (S.K.P., M.G.).

2. Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (D.T., S.M.O., K.D.H.).

3. St Petersburg, FL (J.P.J.).

4. Department of Surgery, Children’s Hospital of Philadelphia, PA (J.W.G.).

5. Department of Cardiac Surgery, University of Michigan Medical School, Ann Arbor (J.C.R.).

6. Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD (M.L.J.).

7. Department of Surgery, Division of Cardiac Surgery, and Center for Quality and Safety, Massachusetts General Hospital, Harvard Medical School, Boston (D.M.S.).

8. Department of Surgery, University of Cincinnati, Cincinnati Children’s Hospital, OH (C.L.B.).

9. Department of Cardiovascular Surgery, Boston Children’s Hospital, MA (J.E.M.).

Abstract

Background: Optimal strategies to improve national congenital heart surgery outcomes and reduce variability across hospitals remain unclear. Many policy and quality improvement efforts have focused primarily on higher-risk patients and mortality alone. Improving our understanding of both morbidity and mortality and current variation across the spectrum of complexity would better inform future efforts. Methods: Hospitals participating in the Society of Thoracic Surgeons Congenital Heart Surgery Database (2014–2017) were included. Case mix–adjusted operative mortality, major complications, and postoperative length of stay were evaluated using Bayesian models. Hospital variation was quantified by the interdecile ratio (IDR, upper versus lower 10%) and 95% credible intervals (CrIs). Stratified analyses were performed by risk group (Society of Thoracic Surgeons–European Association for Cardiothoracic Surgery [STAT] category) and simulations evaluated the potential impact of reductions in variation. Results: A total of 102 hospitals (n=84 407) were included, representing ≈85% of US congenital heart programs. STAT category 1 to 3 (lower risk) operations comprised 74% of cases. All outcomes varied significantly across hospitals: adjusted mortality by 3-fold (upper versus lower decile 5.0% versus 1.6%, IDR 3.1 [95% CrI 2.5–3.7]), mean length of stay by 1.8-fold (19.2 versus 10.5 days, IDR 1.8 [95% CrI 1.8–1.9]), and major complications by >3-fold (23.5% versus 7.0%, IDR 3.4 [95% CrI 3.0–3.8]). The degree of variation was similar or greater for low- versus high-risk cases across outcomes, eg, ≈3-fold mortality variation across hospitals for STAT 1 to 3 (IDR 3.0 [95% CrI 2.1–4.2]) and STAT 4 or 5 (IDR 3.1 [95% CrI 2.4–3.9]) cases. High-volume hospitals had less variability across outcomes and risk categories. Simulations suggested potential reductions in deaths (n=282), major complications (n=1539), and length of stay (101 183 days) over the 4-year study period if all hospitals were to perform at the current median or better, with 37% to 60% of the improvement related to the STAT 1 to 3 (lower risk) group across outcomes. Conclusions: We demonstrate significant hospital variation in morbidity and mortality after congenital heart surgery. Contrary to traditional thinking, a substantial portion of potential improvements that could be realized on a national scale were related to variability among lower-risk cases. These findings suggest modifications to our current approaches to optimize care and outcomes in this population are needed.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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