The impact of team familiarity on intra and postoperative cardiac surgical outcomes.


Journal

Surgery
ISSN: 1532-7361
Titre abrégé: Surgery
Pays: United States
ID NLM: 0417347

Informations de publication

Date de publication:
10 2021
Historique:
received: 17 01 2021
revised: 19 04 2021
accepted: 14 05 2021
pubmed: 22 6 2021
medline: 26 11 2021
entrez: 21 6 2021
Statut: ppublish

Résumé

Familiarity among cardiac surgery team members may be an important contributor to better outcomes and thus serve as a target for enhancing outcomes. Adult cardiac surgical procedures (n = 4,445) involving intraoperative providers were evaluated at a tertiary hospital between 2016 and 2020. Team familiarity (mean of prior cardiac surgeries performed by participating surgeon/nonsurgeon pairs within 2 years before the operation) were regressed on cardiopulmonary bypass duration (primary-an intraoperative measure of care efficiency) and postoperative complication outcomes (major morbidity, mortality), adjusting for provider experience, surgeon 2-year case volume before the surgery, case start time, weekday, and perioperative risk factors. The relationship between team familiarity and outcomes was assessed across predicted risk strata. Median (interquartile range) cardiopulmonary bypass duration was 132 (91-192) minutes, and 698 (15.7%) patients developed major postoperative morbidity. The relationship between team familiarity and cardiopulmonary bypass duration significantly differed across predicted risk strata (P = .0001). High (relative to low) team familiarity was associated with reduced cardiopulmonary bypass duration for medium-risk (-24 minutes) and high-risk (-27 minutes) patients. Increasing team familiarity was not significantly associated with the odds of major morbidity and mortality. Team familiarity, which was predictive of improved intraoperative efficiency without compromising major postoperative outcomes, may serve as a novel quality improvement target in the setting of cardiac surgery.

Sections du résumé

BACKGROUND
Familiarity among cardiac surgery team members may be an important contributor to better outcomes and thus serve as a target for enhancing outcomes.
METHODS
Adult cardiac surgical procedures (n = 4,445) involving intraoperative providers were evaluated at a tertiary hospital between 2016 and 2020. Team familiarity (mean of prior cardiac surgeries performed by participating surgeon/nonsurgeon pairs within 2 years before the operation) were regressed on cardiopulmonary bypass duration (primary-an intraoperative measure of care efficiency) and postoperative complication outcomes (major morbidity, mortality), adjusting for provider experience, surgeon 2-year case volume before the surgery, case start time, weekday, and perioperative risk factors. The relationship between team familiarity and outcomes was assessed across predicted risk strata.
RESULTS
Median (interquartile range) cardiopulmonary bypass duration was 132 (91-192) minutes, and 698 (15.7%) patients developed major postoperative morbidity. The relationship between team familiarity and cardiopulmonary bypass duration significantly differed across predicted risk strata (P = .0001). High (relative to low) team familiarity was associated with reduced cardiopulmonary bypass duration for medium-risk (-24 minutes) and high-risk (-27 minutes) patients. Increasing team familiarity was not significantly associated with the odds of major morbidity and mortality.
CONCLUSION
Team familiarity, which was predictive of improved intraoperative efficiency without compromising major postoperative outcomes, may serve as a novel quality improvement target in the setting of cardiac surgery.

Identifiants

pubmed: 34148709
pii: S0039-6060(21)00439-6
doi: 10.1016/j.surg.2021.05.020
pmc: PMC8733606
mid: NIHMS1716477
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1031-1038

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL146619
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL126896
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01 HL141701
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM103730
Pays : United States
Organisme : HSRD VA
ID : RCS 11-222
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

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Auteurs

Michael R Mathis (MR)

Department of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/Michael_Mathis.

Steven Yule (S)

Department of Clinical Surgery, University of Edinburgh, Scotland; Department of Surgery, Brigham & Women's Hospital/Harvard Medical School, Boston, MA. Electronic address: https://twitter.com/NOTSS_lab.

Xiaoting Wu (X)

Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.

Roger D Dias (RD)

Department of Emergency Medicine, Brigham & Women's Hospital/ Harvard Medical School, Boston, MA. Electronic address: https://twitter.com/RogerDDias.

Allison M Janda (AM)

Department of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, MI.

Sarah L Krein (SL)

Department of Internal Medicine, University of Michigan and Veterans Affairs Ann Arbor Healthcare System, MI. Electronic address: https://twitter.com/Sarahlkrein.

Milisa Manojlovich (M)

School of Nursing, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/mmanojlo.

Matthew D Caldwell (MD)

Department of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, MI.

Korana Stakich-Alpirez (K)

Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI.

Min Zhang (M)

Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI.

Jason Corso (J)

Department of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/ProfJasonCorso.

Nathan Louis (N)

Department of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, Ann Arbor, MI.

Tongbo Xu (T)

Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI.

Jeremy Wolverton (J)

Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/JeremyWolverton.

Francis D Pagani (FD)

Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: https://twitter.com/FPaganiMD.

Donald S Likosky (DS)

Department of Cardiac Surgery, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: likosky@med.umich.edu.

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