Evidence map›Paper›PMID 33017214›Full record

Trial reportCirculation2020

National Variation in Congenital Heart Surgery Outcomes.

Sara K Pasquali, Dylan Thibault, Sean M O'Brien, Jeffrey P Jacobs, J William Gaynor, Jennifer C Romano, Michael Gaies, Kevin D Hill, Marshall L Jacobs, David M Shahian and 2 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Circulation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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  16. Adjusting for Congenital Heart Surgery Risk Using Administrative Data.Journal of the American College of Cardiology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sara K PasqualiDepartment of Pediatrics, University of Michigan C.S. Mott Children's Hospital, Ann Arbor (S.K.P., M.G.).
Dylan ThibaultDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC (D.T., S.M.O., K.D.H.).
Sean M O'BrienDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC (D.T., S.M.O., K.D.H.).
Jeffrey P JacobsSt Petersburg, FL (J.P.J.).
J William GaynorDepartment of Surgery, Children's Hospital of Philadelphia, PA (J.W.G.).
Jennifer C RomanoDepartment of Cardiac Surgery, University of Michigan Medical School, Ann Arbor (J.C.R.).
Michael GaiesDepartment of Pediatrics, University of Michigan C.S. Mott Children's Hospital, Ann Arbor (S.K.P., M.G.).
Kevin D HillDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC (D.T., S.M.O., K.D.H.).
Marshall L JacobsDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD (M.L.J.).
David M ShahianDepartment of Surgery, Division of Cardiac Surgery, and Center for Quality and Safety, Massachusetts General Hospital, Harvard Medical School, Boston (D.M.S.).
Carl L BackerDepartment of Surgery, University of Cincinnati, Cincinnati Children's Hospital, OH (C.L.B.).
John E MayerDepartment of Cardiovascular Surgery, Boston Children's Hospital, MA (J.E.M.).

Funding

Understanding Quality and Costs in Congenital Heart SurgeryR01HL122261 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PASQUALI, SARA · 2014 to 2019
$2.8M
NHLBI NIH HHS R01 HL122261
6 · The paper itself

Abstract

backgroundOptimal 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.

methodsHospitals 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.

resultsA 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.

conclusionsWe 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.

Indexed as

Cardiac Surgical ProceduresDatabases, FactualHospital MortalityChildChild, PreschoolFemaleHeart Defects, CongenitalHumansInfantMaleUnited Statescongenitaloutcome assessment, health carequality of health care

Identifiers

PMID33017214
PMCPMC7539149

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.