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Development of a predictive model for the side effects of liraglutide
- 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 :
- Applied Mathematics
Subjects
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