Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAs
ObjectiveThis study aimed to explore the risk factors for gastrointestinal side effects (GISEs) in patients with type 2 diabetes mellitus (T2DM) during treatment with glucagon-like peptide-1 receptor agonists (GLP-1RAs) based on real-world data and to develop a prediction model for GLP-1RA-related G...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2024.1502050/full |
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| author | Rui Gao Yue Li Yue Li Anan Li Penglin Zhou Huiying Zong Yan Li |
| author_facet | Rui Gao Yue Li Yue Li Anan Li Penglin Zhou Huiying Zong Yan Li |
| author_sort | Rui Gao |
| collection | DOAJ |
| description | ObjectiveThis study aimed to explore the risk factors for gastrointestinal side effects (GISEs) in patients with type 2 diabetes mellitus (T2DM) during treatment with glucagon-like peptide-1 receptor agonists (GLP-1RAs) based on real-world data and to develop a prediction model for GLP-1RA-related GISEs.MethodsA total of 855 patients who attended the First Affiliated Hospital of Shandong First Medical University from January 2020 to May 2023 were selected as the study participants, who were divided into the training set (598 cases) and the validation set (297 cases) using a simple random sampling method at a ratio of 7:3. The general information and biochemical indicators of the participants were collected to assess the risk factors for GLP-1RA-related GISEs, and multifactorial logistic regression analysis was used to obtain the best predictors. A nomogram prediction model was constructed. The Hosmer–Lemeshow test was used to assess the differentiation and calibration of the nomogram model, and decision curve analysis (DCA) was used to evaluate the clinical utility of the model.ResultsAge, gender, history of gastrointestinal disorders, and number of combined oral medications were found as risk factors for the occurrence of GISEs in patients with T2DM using GLP-1RAs (p < 0.05). The nomogram prediction model based on these four factors had good discriminability (AUC values of the training and validation sets of 0.855 and 0.836, respectively) and accuracy (Hosmer–Lemeshow test: p > 0.05 for the validation set). DCA showed that the prediction model curve had clinical utility in the threshold probability interval of >5%.ConclusionsThe established nomogram model has an excellent predictive effect on GISEs induced by GLP-1RAs in patients with T2DM. |
| format | Article |
| id | doaj-art-b973e8e7819441d0a24e7b17b20a5b28 |
| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj-art-b973e8e7819441d0a24e7b17b20a5b282024-12-09T10:02:55ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922024-12-011510.3389/fendo.2024.15020501502050Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAsRui Gao0Yue Li1Yue Li2Anan Li3Penglin Zhou4Huiying Zong5Yan Li6Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University, Jinan, ChinaDepartment of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University, Jinan, ChinaDepartment of Medicine, Qilu Institute of Technology, Jinan, ChinaDepartment of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, ChinaDepartment of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, ChinaDepartment of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, ChinaDepartment of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University, Jinan, ChinaObjectiveThis study aimed to explore the risk factors for gastrointestinal side effects (GISEs) in patients with type 2 diabetes mellitus (T2DM) during treatment with glucagon-like peptide-1 receptor agonists (GLP-1RAs) based on real-world data and to develop a prediction model for GLP-1RA-related GISEs.MethodsA total of 855 patients who attended the First Affiliated Hospital of Shandong First Medical University from January 2020 to May 2023 were selected as the study participants, who were divided into the training set (598 cases) and the validation set (297 cases) using a simple random sampling method at a ratio of 7:3. The general information and biochemical indicators of the participants were collected to assess the risk factors for GLP-1RA-related GISEs, and multifactorial logistic regression analysis was used to obtain the best predictors. A nomogram prediction model was constructed. The Hosmer–Lemeshow test was used to assess the differentiation and calibration of the nomogram model, and decision curve analysis (DCA) was used to evaluate the clinical utility of the model.ResultsAge, gender, history of gastrointestinal disorders, and number of combined oral medications were found as risk factors for the occurrence of GISEs in patients with T2DM using GLP-1RAs (p < 0.05). The nomogram prediction model based on these four factors had good discriminability (AUC values of the training and validation sets of 0.855 and 0.836, respectively) and accuracy (Hosmer–Lemeshow test: p > 0.05 for the validation set). DCA showed that the prediction model curve had clinical utility in the threshold probability interval of >5%.ConclusionsThe established nomogram model has an excellent predictive effect on GISEs induced by GLP-1RAs in patients with T2DM.https://www.frontiersin.org/articles/10.3389/fendo.2024.1502050/fulltype 2 diabetes mellitusglucagon-like peptide-1 receptor agonistsgastrointestinal side effectsrisk factorsnomogram |
| spellingShingle | Rui Gao Yue Li Yue Li Anan Li Penglin Zhou Huiying Zong Yan Li Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAs Frontiers in Endocrinology type 2 diabetes mellitus glucagon-like peptide-1 receptor agonists gastrointestinal side effects risk factors nomogram |
| title | Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAs |
| title_full | Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAs |
| title_fullStr | Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAs |
| title_full_unstemmed | Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAs |
| title_short | Risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by GLP-1RAs |
| title_sort | risk factor screening and prediction modeling of gastrointestinal adverse reactions caused by glp 1ras |
| topic | type 2 diabetes mellitus glucagon-like peptide-1 receptor agonists gastrointestinal side effects risk factors nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2024.1502050/full |
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