Medications and conditions associated with weight loss in patients prescribed semaglutide based on real‐world data

Author:

Powell William1ORCID,Song Xing2,Mohamed Yahia1,Walsh Dave1,Parks Elizabeth J.3,McMahon Tamara M.1,Khan Mirza45,Waitman Lemuel R.12

Affiliation:

1. Department of Biomedical and Health Informatics University of Missouri–Kansas City School of Medicine Kansas City Missouri USA

2. Department of Health Management and Informatics University of Missouri School of Medicine Columbia Missouri USA

3. Department of Nutrition and Exercise Physiology University of Missouri Columbia Missouri USA

4. Department of Cardiovascular Medicine Saint Luke's Mid America Heart Institute Kansas City Missouri USA

5. Section of Cardiology University of Missouri–Kansas City Kansas City Missouri USA

Abstract

AbstractObjectiveApproved by the Food and Drug Administration (FDA) in 2017 for diabetes and in 2021 for weight loss, semaglutide has seen widespread use among individuals who aim to lose weight. The aim of this study was to evaluate weight loss and the influence of clinical factors on semaglutide patients in real‐world clinical practice.MethodsUsing data from 10 health systems within the Greater Plains Collaborative (a PCORnet Clinical Research Network), nearly 4000 clinical factors encompassing demographic, diagnosis, and prescription information were extracted for semaglutide patients. A gradient‐boosting, machine‐learning classifier was developed for weight‐loss prediction and identification of the most impactful factors via SHapley Additive exPlanations (SHAP) value extrapolation.ResultsA total of 3555 eligible patients (539 of whom were observed 52 weeks following exposure) from March 2017 to April 2022 were studied. On average, individuals lost 4.44% (male individuals, 3.66%; female individuals, 5.08%) of their initial weight. History of diabetes mellitus diagnosis was associated with less weight loss, whereas prediabetes and linaclotide use were associated with more pronounced weight loss.ConclusionsWeight loss in patients prescribed semaglutide from real‐world evidence was strong but attenuated compared with previous clinical trials. Machine‐learning analysis of electronic health record data identified factors that warrant further research and consideration when tailoring weight‐loss therapy.

Publisher

Wiley

Subject

Nutrition and Dietetics,Endocrinology,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3