Literature DB >> 32302084

Factors that predict 30-day readmission after bariatric surgery: experience of a publicly funded Canadian centre.

Jerry T Dang1, Iran Tavakoli1, Noah Switzer1, Valentin Mocanu1, Xinzhe Shi1, Chris de Gara1, Daniel W Birch1, Shahzeer Karmali1.   

Abstract

Background: Hospital readmissions after bariatric surgery can significantly increase health care costs. Rates of readmission after bariatric surgery have ranged from 0.6% to 11.3%, but the rate of complications and the factors that predict readmission have not been well characterized in Canada. The objective of this study was to characterize readmission rates and the factors that predict 30-day readmission in a Canadian centre.
Methods: A retrospective study was performed on all patients who underwent bariatric surgery between 2010 and 2015 in a single Canadian centre. Procedures included laparoscopic Roux-en-Y gastric bypass (LRYGB), laparoscopic sleeve gastrectomy (LSG) and laparoscopic adjustable gastric banding (LAGB). Prospectively collected data were extracted from an administrative database. Multivariable logistic regression analysis was performed to determine which factors predict 30-day readmission.
Results: A total of 1468 patients had bariatric surgery (51.0% LRYGB, 40.5% LSG, 8.6% LAGB) during the 6-year study period, with an overall 30-day readmission rate of 7.5%. LRYGB was associated with a higher readmission rate (11.4%) than LSG (3.7%) or LAGB (1.6%). Common reasons for readmission were infection (24.8%), pain (17.4%) and nausea or vomiting (10.1%). Multivariable analysis identified 3 factors that independently predicted readmission: length of stay greater than 4 days (odds ratio [OR] 2.18, 95% confidence interval [CI] 1.03-4.63, p = 0.042), LRYGB (OR 5.21, 95% CI 1.19-22.73, p = 0.028) and acute renal failure (OR 14.10, 95% CI 1.07-186.29, p = 0.045).
Conclusion: Readmissions after bariatric surgery were most commonly caused by potentially preventable factors, such as pain, nausea or vomiting. Strategies to identify and address factors associated with readmission may reduce readmissions and health care costs after bariatric surgery in a publicly funded health care system.
© 2020 Joule Inc. or its licensors.

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Year:  2020        PMID: 32302084      PMCID: PMC7828951          DOI: 10.1503/cjs.014918

Source DB:  PubMed          Journal:  Can J Surg        ISSN: 0008-428X            Impact factor:   2.089


  19 in total

1.  The medical care costs of obesity: an instrumental variables approach.

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2.  Predictors of readmission after laparoscopic gastric bypass and sleeve gastrectomy: a comparative analysis of ACS-NSQIP database.

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3.  The effect of health system factors on outcomes and costs after bariatric surgery in a universal healthcare system: a national cohort study of bariatric surgery in Canada.

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4.  A Longitudinal Analysis of Short-Term Costs and Outcomes in a Regionalized Center of Excellence Bariatric Care System.

Authors:  Aristithes G Doumouras; Fady Saleh; Sama Anvari; Scott Gmora; Mehran Anvari; Dennis Hong
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5.  Outcomes the Ontario Bariatric Network: a cohort study.

Authors:  Fady Saleh; Aristithes G Doumouras; Scott Gmora; Mehran Anvari; Dennis Hong
Journal:  CMAJ Open       Date:  2016-08-04

6.  Prevalence and Risk Factors for Bariatric Surgery Readmissions: Findings From 130,007 Admissions in the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program.

Authors:  Elizabeth R Berger; Kristopher M Huffman; Teresa Fraker; Anthony T Petrick; Stacy A Brethauer; Bruce L Hall; Clifford Y Ko; John M Morton
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Authors:  E J DeMaria; H J Sugerman; J G Meador; J M Doty; J M Kellum; L Wolfe; R A Szucs; M A Turner
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Review 8.  Review of the key results from the Swedish Obese Subjects (SOS) trial - a prospective controlled intervention study of bariatric surgery.

Authors:  L Sjöström
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9.  Surgeon case volume and readmissions after laparoscopic Roux-en-Y gastric bypass: more is less.

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Review 10.  Obesity and overweight in Canada: an updated cost-of-illness study.

Authors:  A H Anis; W Zhang; N Bansback; D P Guh; Z Amarsi; C L Birmingham
Journal:  Obes Rev       Date:  2009-04-21       Impact factor: 9.213

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