Conor Brosnan1,2, Jarlath C Bolger3,4, Eamonn M Bolger3,4, Michael E Kelly3,4, Roisin Tully3,4, Mohamed AlAzzawi3,4, William B Robb3,4. 1. Department of Upper GI Surgery, Beaumont Hospital, Beaumont, Dublin 9, Republic of Ireland. conorbrosnan@rcsi.ie. 2. Department of Surgery, Royal College of Surgeons in Ireland, Dublin 2, Ireland. conorbrosnan@rcsi.ie. 3. Department of Upper GI Surgery, Beaumont Hospital, Beaumont, Dublin 9, Republic of Ireland. 4. Department of Surgery, Royal College of Surgeons in Ireland, Dublin 2, Ireland.
Abstract
BACKGROUND: Obesity and type 2 diabetes mellitus (T2DM) represent significant healthcare burdens. Surgical management is superior to traditional medical therapy. Laparoscopic sleeve gastrectomy (LSG) and gastric bypass (both Roux-en-Y (RYGB) and one anastomosis gastric bypass (OAGB) are the most commonly performed metabolic procedures. It remains unclear which gives the optimal quality-of-life pay-off in the context of T2DM. This study compares LSG, RYGB, and OAGB in the management of T2DM and obesity using modeled decision analysis. Alternative approaches were assessed considering efficacy of interventions, post-operative complications, and quality of life outcomes to determine the optimal approach. METHODS: Modeled decision analysis was performed from the patent's perspective comparing best medical management (MM), SG, RYGB, OAGB, and LAGB. The base case is a 40-year-old female with a body mass index (BMI) of 40 and T2DM. Input variables were calculated based on published decision analyses and a literature review. Utilities were based on previous studies. Sensitivity analysis was performed. The payoff was quality-adjusted life years (QALYs) 5 years from intervention. TreeAge Pro modeling software was used for analysis. RESULTS: In 5-years post-procedure, OAGB gave the optimal QALY payoff of 3.65 QALYs (reviewer 2). RYGB gave 3.47, SG gave 3.08, LAGB gave 2.62 and MM 2.45 QALYs. Three input variables proved sensitive. RYGB is optimal if its metabolic improvement rates exceed 86%. It is also optimal if metabolic improvement rates in OAGB drop below 71.8% or if the utility of OAGB drops below 0.759. CONCLUSION: OAGB gives the optimal QALY payoff in treatment of T2DM. RYGB and SG also improve metabolic outcomes and remain viable options in selected patients.
BACKGROUND: Obesity and type 2 diabetes mellitus (T2DM) represent significant healthcare burdens. Surgical management is superior to traditional medical therapy. Laparoscopic sleeve gastrectomy (LSG) and gastric bypass (both Roux-en-Y (RYGB) and one anastomosis gastric bypass (OAGB) are the most commonly performed metabolic procedures. It remains unclear which gives the optimal quality-of-life pay-off in the context of T2DM. This study compares LSG, RYGB, and OAGB in the management of T2DM and obesity using modeled decision analysis. Alternative approaches were assessed considering efficacy of interventions, post-operative complications, and quality of life outcomes to determine the optimal approach. METHODS: Modeled decision analysis was performed from the patent's perspective comparing best medical management (MM), SG, RYGB, OAGB, and LAGB. The base case is a 40-year-old female with a body mass index (BMI) of 40 and T2DM. Input variables were calculated based on published decision analyses and a literature review. Utilities were based on previous studies. Sensitivity analysis was performed. The payoff was quality-adjusted life years (QALYs) 5 years from intervention. TreeAge Pro modeling software was used for analysis. RESULTS: In 5-years post-procedure, OAGB gave the optimal QALY payoff of 3.65 QALYs (reviewer 2). RYGB gave 3.47, SG gave 3.08, LAGB gave 2.62 and MM 2.45 QALYs. Three input variables proved sensitive. RYGB is optimal if its metabolic improvement rates exceed 86%. It is also optimal if metabolic improvement rates in OAGB drop below 71.8% or if the utility of OAGB drops below 0.759. CONCLUSION: OAGB gives the optimal QALY payoff in treatment of T2DM. RYGB and SG also improve metabolic outcomes and remain viable options in selected patients.
Entities:
Keywords:
Modeled decision analysis; Obesity; Type 2 diabetes
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