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Variation in Hospital Mortality After Complex Cancer Surgery: Patient, Volume, Hospital or Social Determinants?
Munir, Muhammad Musaab; Woldesenbet, Selamawit; Endo, Yutaka; Dillhoff, Mary; Cloyd, Jordan; Ejaz, Aslam; Pawlik, Timothy M.
Afiliação
  • Munir MM; Department of Surgery, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Woldesenbet S; Department of Surgery, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Endo Y; Department of Surgery, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Dillhoff M; Department of Surgery, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Cloyd J; Department of Surgery, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Ejaz A; Department of Surgery, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Pawlik TM; Department of Surgery, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA. Tim.Pawlik@osumc.edu.
Ann Surg Oncol ; 31(5): 2856-2866, 2024 May.
Article em En | MEDLINE | ID: mdl-38194046
ABSTRACT

INTRODUCTION:

We sought to define the individual contributions of patient characteristics (PCs), hospital characteristics (HCs), case volume (CV), and social determinants of health (SDoH) on in-hospital mortality (IHM) after complex cancer surgery.

METHODS:

The California Department of Health Care Access and Information database identified patients who underwent esophagectomy (ES), pneumonectomy (PN), pancreatectomy (PD), or proctectomy (PR) for a malignant diagnosis between 2010 and 2020. Multi-level multivariable regression was performed to assess the proportion of variance explained by PCs, HCs, CV and SDoH on IHM.

RESULTS:

A total of 52,838 patients underwent cancer surgery (ES n = 2,700, 5.1%; PN n = 30,822, 58.3%; PD n = 7530, 14.3%; PR n = 11,786, 22.3%) across 294 hospitals. The IHM for the overall cohort was 1.7% and varied from 4.4% for ES to 0.8% for PR. On multivariable regression, PCs contributed the most to the variance in IHM (overall 32.0%; ES 21.6%; PN 28.0%; PD 20.3%; PR 39.9%). Among the overall cohort, CV contributed 2.4%, HCs contributed 1.3%, and SDoH contributed 1.2% to the variation in IHM. CV was the second highest contributor to IHM among ES (5.3%), PN (5.3%), and PD (5.9%); however, HCs were a more important contributor among patients who underwent PR (8.0%). The unexplained variance in IHM was highest among ES (72.4%), followed by the PD (67.5%) and PN (64.6%) patient groups.

CONCLUSIONS:

PCs are the greatest underlying contributor to variations in IHM following cancer surgery. These data highlight the need to focus on optimizing patients and exploring unexplained sources of IHM to improve quality of surgical care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Determinantes Sociais da Saúde / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Determinantes Sociais da Saúde / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Ann Surg Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos