Abstract
Abstract
Objective
This study aimed to examine the correlation between preoperative body mass index (BMI) and adequate percentage of total weight loss (TWL%) outcome and present evidence of tiered treatment for patients with obesity in different preoperative BMI.
Methods
We included patients with complete follow-up data who underwent metabolic and bariatric surgery (BMS). We termed optimal clinical response as TWL% >20% at one year following MBS. To investigate dose-response association between preoperative BMI and optimal clinical response, preoperative BMI was analyzed in three ways: (1) as quartiles; (2) per 2.5 kg/m2 units (3) using RCS, with 3 knots as recommended.
Results
A total of 291 patients with obesity were included in our study. The corresponding quartile odds ratios associated with optimal clinical response and adjusted for potential confounders were 1.00 (reference), 1.434 [95% confidence interval (95%CI) = 0.589–3.495], 4.926 (95%CI = 1.538–15.772), and 2.084 (95%CI = 0.941–1.005), respectively. RCS analysis showed a non-linear inverted U-shaped association between preoperative BMI and optimal clinical response (Nonlinear P = 0.009). In spline analysis, when preoperative BMI was no less than 42.9 kg/m2, the possibility of optimal clinical response raised as preoperative BMI increased. When preoperative BMI was greater than 42.9 kg/m2, the possibility of optimal clinical response had a tendency to decline as preoperative BMI increased.
Conclusion
Our research indicated the non-linear inverted U-shaped correlation between preoperative BMI and adequate weight loss. Setting a preoperative BMI threshold of 42.9 is critical to predicting optimal clinical outcomes.
Funder
Beijing Municipal Science & Technology Commission
Publisher
Springer Science and Business Media LLC
Reference35 articles.
1. Lin X, Li H, Obesity. Epidemiology, pathophysiology, and Therapeutics. Front Endocrinol. 2021;12:706978.
2. Ortega FB, Lavie CJ, Blair SN. Obesity and Cardiovascular Disease. Circul Res. 2016;118(11):1752–70.
3. Jaacks LM, Vandevijvere S, Pan A, et al. The obesity transition: stages of the global epidemic. Lancet Diabetes Endocrinol. 2019;7(3):231–40.
4. Swinburn BA, Sacks G, Hall KD, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378(9793):804–14.
5. Fink J, Seifert G, Blüher M, et al. Obesity surgery—weight loss, metabolic changes, oncological effects, and follow-up. Deutsches Ärzteblatt International. 2022;119(5):70–80.