Defining a "High Volume" Radical Cystectomy Hospital: Where Do We Draw the Line?


Journal

European urology focus
ISSN: 2405-4569
Titre abrégé: Eur Urol Focus
Pays: Netherlands
ID NLM: 101665661

Informations de publication

Date de publication:
15 09 2020
Historique:
received: 18 12 2018
revised: 20 01 2019
accepted: 01 02 2019
pubmed: 18 2 2019
medline: 21 5 2021
entrez: 18 2 2019
Statut: ppublish

Résumé

Centralization of radical cystectomy (RC) to "high volume" centers can lead to decreased morbidity but also limits access to care. In the context of centralization, there is a need to systematically define the hospital volume cutoffs for this procedure. To systematically examine the effect of hospital volume on inpatient complications of RC for bladder cancer and to define a threshold to minimize RC morbidity. This was a retrospective analysis of data for 6790 adults undergoing RC for nonmetastatic bladder cancer during 2008-2011 from the National Inpatient Sample (weighted population estimate of 33 249 RCs in the USA during this period). RC. Overall and major complications were defined according to International Classification of Diseases (9th revision) diagnosis and procedure codes. To define the relationship between hospital volume and morbidity, logistic regression analyses within a generalized estimating equation framework with restricted cubic splines were used. The inpatient complication rate was 4769/6790 (70.2%), of which 1572/6790 (23.2%) were major complications. Restricted cubic spline analysis revealed a significant inverse nonlinear association between hospital volume and complications. The odds of complications decreased with increasing volume, with a plateau at 50-55 cases/yr for any complications (p=0.024) and 45-50 cases/yr for major complications (p=0.007). The relationship between hospital volume and RC morbidity is nonlinear, with a plateau for the complication rate at 50-55 cases/yr. Restricting RC to centers with such high thresholds will restrict access to care. There is a need to identify and publish best practices from high-volume centers in quality improvement initiatives to improve morbidity at low-volume centers. There is a nonlinear relationship between the annual number of radical cystectomy procedures performed at a hospital and the inpatient complication rate. Complications decrease with increasing hospital volume and reach a plateau at 50-55 cases per year, beyond which the incremental benefit of increasing volume is minimal.

Sections du résumé

BACKGROUND
Centralization of radical cystectomy (RC) to "high volume" centers can lead to decreased morbidity but also limits access to care. In the context of centralization, there is a need to systematically define the hospital volume cutoffs for this procedure.
OBJECTIVE
To systematically examine the effect of hospital volume on inpatient complications of RC for bladder cancer and to define a threshold to minimize RC morbidity.
DESIGN, SETTING, AND PARTICIPANTS
This was a retrospective analysis of data for 6790 adults undergoing RC for nonmetastatic bladder cancer during 2008-2011 from the National Inpatient Sample (weighted population estimate of 33 249 RCs in the USA during this period).
INTERVENTION
RC.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS
Overall and major complications were defined according to International Classification of Diseases (9th revision) diagnosis and procedure codes. To define the relationship between hospital volume and morbidity, logistic regression analyses within a generalized estimating equation framework with restricted cubic splines were used.
RESULTS AND LIMITATIONS
The inpatient complication rate was 4769/6790 (70.2%), of which 1572/6790 (23.2%) were major complications. Restricted cubic spline analysis revealed a significant inverse nonlinear association between hospital volume and complications. The odds of complications decreased with increasing volume, with a plateau at 50-55 cases/yr for any complications (p=0.024) and 45-50 cases/yr for major complications (p=0.007).
CONCLUSIONS
The relationship between hospital volume and RC morbidity is nonlinear, with a plateau for the complication rate at 50-55 cases/yr. Restricting RC to centers with such high thresholds will restrict access to care. There is a need to identify and publish best practices from high-volume centers in quality improvement initiatives to improve morbidity at low-volume centers.
PATIENT SUMMARY
There is a nonlinear relationship between the annual number of radical cystectomy procedures performed at a hospital and the inpatient complication rate. Complications decrease with increasing hospital volume and reach a plateau at 50-55 cases per year, beyond which the incremental benefit of increasing volume is minimal.

Identifiants

pubmed: 30772360
pii: S2405-4569(19)30018-5
doi: 10.1016/j.euf.2019.02.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

975-981

Informations de copyright

Copyright © 2019 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Auteurs

Sohrab Arora (S)

Department of Urology, Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI, USA; Center for Outcomes Research, Analytics and Evaluation, Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI, USA. Electronic address: sarora3@hfhs.org.

Jacob Keeley (J)

Department of Urology, Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI, USA; Center for Outcomes Research, Analytics and Evaluation, Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI, USA.

Amit Patel (A)

Department of Urology, Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI, USA.

Sriram V Eleswarapu (SV)

Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

Chandler Bronkema (C)

Wayne State University School of Medicine, Detroit, MI, USA.

Shaheen Alanee (S)

Department of Urology, Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI, USA.

Mani Menon (M)

Department of Urology, Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI, USA.

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