Suppr超能文献

肥胖患者长期体验(BELONG):在大型综合医疗保健系统中进行减肥手术的相关因素。

The Bariatric Experience Long Term (BELONG): Factors Related to Having Bariatric Surgery in a Large Integrated Healthcare System.

机构信息

Marriage and Family Therapy Program, Touro University Worldwide, Los Alamitos, CA, USA.

Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.

出版信息

Obes Surg. 2021 Feb;31(2):847-853. doi: 10.1007/s11695-020-05045-7. Epub 2020 Oct 30.

Abstract

PURPOSE

Bariatric surgery is the most effective treatment for severe obesity, but currently, only 1-2% of all eligible patients undergo surgery each year. This study examined which factors were associated with a patient receiving bariatric surgery after referral in a real-world healthcare setting.

MATERIALS AND METHODS

The current study used the baseline survey and electronic medical record (EMR) data from the Bariatric Experience Long Term (BELONG) study (n = 1975). Predictors of who did (n = 1680) and who did not (n = 295) have surgery were analyzed using multivariate logistic regression.

RESULTS

Participants (n = 1975; 42.4% response rate) were primarily women (84%) and either non-Hispanic Black or Hispanic (60%). In the fully adjusted multivariate model, the strongest predictors of having surgery were being a woman (OR = 3.17; 95% CI = 2.15, 4.68; p < .001) and losing at least 5% of their body weight in the year before surgery (OR = 3.16; 95% CI = 2.28, 4.38; p < .001). The strongest predictors of not having surgery were a ≥ BMI 50 kg/m (OR = .39; 95% CI = .27, .56; p < .001) and having a higher physical comorbidity burden (OR = .84; 95% CI = .75, .94; p = .004).

CONCLUSIONS

Practices such as 5-10% total weight loss before surgery and selection of patients with safer operative risk profiles (younger with lower comorbidity burden) may inadvertently contribute to under-utilization of bariatric surgery among some demographic subpopulations who could most benefit from this intervention.

摘要

目的

减重手术是治疗重度肥胖症最有效的方法,但目前每年仅有 1-2%的符合条件的患者接受手术。本研究旨在探讨在真实医疗环境下,哪些因素与患者转诊后接受减重手术相关。

材料和方法

本研究使用了 BELONG 研究的基线调查和电子病历(EMR)数据(n=1975)。使用多变量逻辑回归分析了谁接受(n=1680)和谁不接受(n=295)手术的预测因素。

结果

参与者(n=1975;42.4%的应答率)主要为女性(84%),且非西班牙裔黑人或西班牙裔(60%)。在完全调整的多变量模型中,接受手术的最强预测因素是女性(OR=3.17;95%CI=2.15, 4.68;p<.001)和在手术前一年体重至少减轻 5%(OR=3.16;95%CI=2.28, 4.38;p<.001)。不接受手术的最强预测因素是 BMI≥50 kg/m2(OR=0.39;95%CI=0.27, 0.56;p<.001)和身体合并症负担较高(OR=0.84;95%CI=0.75, 0.94;p=0.004)。

结论

手术前体重减轻 5-10%和选择手术风险较低(年轻且合并症负担较低)的患者等做法,可能会无意中导致某些可能从该干预措施中获益最多的人群中,减重手术的利用率不足。

相似文献

5
Predictors of patient selection in bariatric surgery.肥胖症手术患者选择的预测因素。
Ann Surg. 2007 Jan;245(1):59-67. doi: 10.1097/01.sla.0000232551.55712.b3.
9
Urinary Incontinence Before and After Bariatric Surgery.减肥手术前后的尿失禁
JAMA Intern Med. 2015 Aug;175(8):1378-87. doi: 10.1001/jamainternmed.2015.2609.

引用本文的文献

本文引用的文献

4
Primary care providers' attitudes and knowledge of bariatric surgery.初级保健提供者对减重手术的态度和知识。
Surg Endosc. 2020 May;34(5):2273-2278. doi: 10.1007/s00464-019-07018-z. Epub 2019 Jul 31.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验