Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Mar;31(3):1387-1391.
doi: 10.1007/s11695-020-05054-6. Epub 2020 Oct 26.

Modeling the Impact of Delaying Bariatric Surgery due to COVID-19: a Decision Analysis

Affiliations

Modeling the Impact of Delaying Bariatric Surgery due to COVID-19: a Decision Analysis

Maren E Shipe et al. Obes Surg. 2021 Mar.

Abstract

We developed a decision analysis model to evaluate risks and benefits of delaying scheduled bariatric surgery during the novel coronavirus disease (COVID-19) pandemic. Our base case was a 45-year-old female with diabetes and a body mass index of 45 kg/m2. We compared immediate with delayed surgery after 6 months to allow for COVID-19 prevalence to decrease. We found that immediate and delayed bariatric surgeries after 6 months resulted in similar 20-year overall survival. When the probability of COVID-19 infection exceeded 4%, then delayed surgery improved survival. If future COVID-19 infection rates were at least half those in the immediate scenario, then immediate surgery was favored and local infection rates had to exceed 9% before surgical delay improved survival. Surgeons should consider local disease prevalence and patient comorbidities associated with increased mortality before resuming bariatric surgery programs.

Keywords: Bariatric surgery; COVID-19; Coronavirus; Decision analysis; Risk modeling; Sleeve gastrectomy.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
a Decision analysis tree for resuming bariatric surgery during COVID-19 pandemic. Blue square: decision node, whether to choose immediate or delayed surgery. Green circles: chance nodes. Red triangles: terminal nodes. b Two-way sensitivity analysis for probability of infection and mortality from COVID-19. Graph displays the favored strategy (immediate or delayed surgery) across a range of possible hospital-acquired COVID-19 infection and COVID-19-related mortality probabilities while holding all other model variables constant at baseline values

Similar articles

Cited by

References

    1. Flanagan E, Ghaderi I, Overby D, Farrell T. Reduced survival in bariatric surgery candidates delayed or denied by lack of insurance approval. Am Surg. 2016;82(2):166–170. doi: 10.1177/000313481608200222. - DOI - PubMed
    1. Cohen RV, Luque A, Junqueira S, Ribeiro RA, Le Roux CW. What is the impact on the healthcare system if access to bariatric surgery is delayed? Surg Obes Relat Dis. 2017;13(9):1619–1627. doi: 10.1016/j.soard.2017.03.025. - DOI - PubMed
    1. Richardson S, Hirsch JS, Narasimhan M, Crawford JM, McGinn T, Davidson KW, et al. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City Area. JAMA. 2020 [cited 2020 May 3]; Available from: http://www.ncbi.nlm.nih.gov/pubmed/32320003. - PMC - PubMed
    1. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, Zhao Y, Li Y, Wang X, Peng Z. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA J Am Med Assoc. 2020;323(11):1061–1069. doi: 10.1001/jama.2020.1585. - DOI - PMC - PubMed
    1. Garg S, Kim L, Whitaker M, O’Halloran A, Cummings C, Holstein R, Prill M, Chai SJ, Kirley PD, Alden NB, Kawasaki B, Yousey-Hindes K, Niccolai L, Anderson EJ, Openo KP, Weigel A, Monroe ML, Ryan P, Henderson J, Kim S, Como-Sabetti K, Lynfield R, Sosin D, Torres S, Muse A, Bennett NM, Billing L, Sutton M, West N, Schaffner W, Talbot HK, Aquino C, George A, Budd A, Brammer L, Langley G, Hall AJ, Fry A. Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus disease 2019 — COVID-NET, 14 states, March 1–30, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(15):458–464. doi: 10.15585/mmwr.mm6915e3. - DOI - PMC - PubMed

Publication types