Affiliation: | 1. School of Public Health, University of Texas Health Science Center, Dallas Campus, Dallas, Texas, USA;2. School of Public Health, University of Texas Health Science Center, Dallas Campus, Dallas, Texas, USA Center for Pediatric Population Health, UTHealth School of Public Health and Children's Health System of Texas, Dallas, Texas, USA;3. School of Public Health, University of Texas Health Science Center, Houston Campus, Houston, Texas, USA;4. Department of Medicine, Division of Endocrinology, University of Texas Southwestern Medical Center, Dallas, Texas, USA;5. Department of Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA |
Abstract: | Obesity is a risk factor for asthma. Metabolic and bariatric surgery (MBS) is a safe and effective treatment option for obesity. Weight reduction via MBS, in turn, may improve asthma outcomes and decrease the need for asthma medications. The aim of the systematic review and meta-analysis is to explore the available evidence focused on the impact of MBS on the improvement of asthma outcomes via the discontinuation and reduction of asthma medications. After a comprehensive search in the PubMed, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) databases, 15 studies, including pre–post MBS data on asthma medication use among adults, were eligible for the systematic review. Thirteen studies reported the proportion of patient who discontinued asthma medication post-MBS and was meta-analyzed using random effects. Results showed 54% patients completely discontinued asthma medications (95% confidence interval 42%–67%, I2 = 86.2%, p < 0.001). The average number of asthma medications was also decreased by approximately 22%–46%. MBS provides strong therapeutic benefits for patients with asthma, as evidenced by the complete discontinuation of asthma medications in over 50% of MBS completers. The inference was limited by the small number, variations in follow-up time and rates, and heterogeneity of studies. Studies that include more ethnically diverse participant samples are needed to improve generalizability. |