Improving Surgical Care and Outcomes in Older Cancer Patients Through Implementation of a Pre-Surgical Toolkit (OPTI-Surg)-Final Results of a Phase III Cluster Randomized Trial (Alliance A231601CD).


Journal

Annals of surgery
ISSN: 1528-1140
Titre abrégé: Ann Surg
Pays: United States
ID NLM: 0372354

Informations de publication

Date de publication:
29 Jul 2024
Historique:
medline: 29 7 2024
pubmed: 29 7 2024
entrez: 29 7 2024
Statut: aheadofprint

Résumé

To assess the effect of a practice-level preoperative frailty screening and optimization toolkit (OPTI-Surg) on postoperative functional recovery and complications in elderly cancer patients undergoing major surgery. Frailty is common in older adults. it increases risk for poor postoperative functional recovery and complications. The potential for a practice-level screening/optimization intervention to improve outcomes is unknown. Thoracic, gastrointestinal, and urologic oncological surgery practices within the NCI Community Oncology Research Program (NCORP) were randomized 1:1:1, to usual care (UC), OPTI-Surg, or OPTI-Surg with implementation coach. OPTI-Surg consisted of the Edmonton Frail Scale and guided recommendations for referral interventions. Patients ≥70 years old undergoing curative intent surgery were eligible. Primary outcome was 8 weeks postoperative function (kCal/week). Key secondary outcome was complications within 90 days. Mixed models were used to compare UC to the 2 OPTI-Surg arms combined. From 7/2019 to 9/2022, 325 patients were enrolled from 29 practices. 199 (64 UC, 135 OPTI-Surg) and 279 (78 UC, 201 OPTI-Surg) were evaluable for primary and secondary analysis, respectively. UC and OPTI-Surg patients did not significantly differ on total caloric expenditure (2.2 UC, 2.0 OPTI-Surg) after adjusting for baseline function (P=0.53). UC and OPTI-Surg patients did not significantly differ on postoperative complications (25.6% UC, 35.3% OPTI-Surg, P=0.5). Frailty assessment was successfully performed, but the OPTI-Surg intervention did not improve postoperative function nor reduce postoperative complications compared to UC. Future analysis will explore practice-level factors associated with toolkit implementation and differences between the coaching and non-coaching arms.

Sections du résumé

OBJECTIVE OBJECTIVE
To assess the effect of a practice-level preoperative frailty screening and optimization toolkit (OPTI-Surg) on postoperative functional recovery and complications in elderly cancer patients undergoing major surgery.
SUMMARY BACKGROUND DATA BACKGROUND
Frailty is common in older adults. it increases risk for poor postoperative functional recovery and complications. The potential for a practice-level screening/optimization intervention to improve outcomes is unknown.
METHODS METHODS
Thoracic, gastrointestinal, and urologic oncological surgery practices within the NCI Community Oncology Research Program (NCORP) were randomized 1:1:1, to usual care (UC), OPTI-Surg, or OPTI-Surg with implementation coach. OPTI-Surg consisted of the Edmonton Frail Scale and guided recommendations for referral interventions. Patients ≥70 years old undergoing curative intent surgery were eligible. Primary outcome was 8 weeks postoperative function (kCal/week). Key secondary outcome was complications within 90 days. Mixed models were used to compare UC to the 2 OPTI-Surg arms combined.
RESULTS RESULTS
From 7/2019 to 9/2022, 325 patients were enrolled from 29 practices. 199 (64 UC, 135 OPTI-Surg) and 279 (78 UC, 201 OPTI-Surg) were evaluable for primary and secondary analysis, respectively. UC and OPTI-Surg patients did not significantly differ on total caloric expenditure (2.2 UC, 2.0 OPTI-Surg) after adjusting for baseline function (P=0.53). UC and OPTI-Surg patients did not significantly differ on postoperative complications (25.6% UC, 35.3% OPTI-Surg, P=0.5).
CONCLUSIONS CONCLUSIONS
Frailty assessment was successfully performed, but the OPTI-Surg intervention did not improve postoperative function nor reduce postoperative complications compared to UC. Future analysis will explore practice-level factors associated with toolkit implementation and differences between the coaching and non-coaching arms.

Identifiants

pubmed: 39069901
doi: 10.1097/SLA.0000000000006458
pii: 00000658-990000000-01000
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

Auteurs

George J Chang (GJ)

Department of Colon and Rectal Surgery, the University of Texas MD Anderson Cancer Center, Houston, TX.
Department of Health Services Research, the University of Texas, MD Anderson Cancer Center.

Heather J Gunn (HJ)

Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN.

Anne K Barber (AK)

The American College of Surgeons, Chicago, IL.

Lisa M Lowenstein (LM)

Department of Health Services Research, the University of Texas, MD Anderson Cancer Center.

Daniel Dohan (D)

Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA.

Jeanette Broering (J)

Department of Surgery, University of California, San Francisco, CA.

Travis Dockter (T)

Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN.

Angelina D Tan (AD)

Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN.

Amylou Dueck (A)

Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN.

Selina Chow (S)

Alliance Statistics and Data Management Center, Scottsdale, AZ.

Heather Neuman (H)

Department of Surgery, University of Wisconsin, Madison, WI.

Emily Finlayson (E)

Department of Surgery, University of California, San Francisco, CA.

Classifications MeSH