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Development of a predictive model for the side effects of liraglutide

Authors :
Jiwon Shinn
Ji Young Min
Hun-Sung Kim
Source :
Cardiovascular Prevention and Pharmacotherapy. 4:87-93
Publication Year :
2022
Publisher :
Korean Society of Cardiovascular Disease Prevention, 2022.

Abstract

Background: Liraglutide, a drug used for the management of obesity, has many known side effects. In this study, we developed a predictive model for the occurrence of liraglutide-related side effects using data from electronic medical records (EMRs).Methods: This study included 237 patients from Seoul St. Mary's Hospital and Eunpyeong St. Mary's Hospital who were prescribed liraglutide. An endocrinologist obtained medical data through an EMR chart review. Model performance was evaluated using the mean of the area under the receiver operating characteristic curve (AUROC) with a 95% confidence interval (CI).Results: A predictive model was developed for patients who were prescribed liraglutide. However, 37.1% to 75.5% of many variables were missing, and the AUROC of the developed predictive model was 0.630 (95% CI, 0.551–0.708). Patients who had previously taken antiobesity medication had significantly fewer side effects than those without previous antiobesity medication use (20.7% vs. 41.4%, P

Subjects

Subjects :
Applied Mathematics

Details

ISSN :
2671700X
Volume :
4
Database :
OpenAIRE
Journal :
Cardiovascular Prevention and Pharmacotherapy
Accession number :
edsair.doi...........29578ee40024c7c79dea4793d2fb8162
Full Text :
https://doi.org/10.36011/cpp.2022.4.e12