Jisu Kim1, Susin Park1, Hyunsoo Kim1, Nam Kyung Je2. 1. College of Pharmacy, Pusan National University, Busandaehakro 63 Bungil 2 Geumjeong-Gu, Busan, 46241, Republic of Korea. 2. College of Pharmacy, Pusan National University, Busandaehakro 63 Bungil 2 Geumjeong-Gu, Busan, 46241, Republic of Korea. jenk@pusan.ac.kr.
Abstract
BACKGROUND: The American Diabetes Association guidelines recommend metformin monotherapy for type 2 diabetes mellitus as an initial agent due to its effectiveness and safety. If the target glycosylated haemoglobin level is not attained within 3 months, add-on therapy is recommended. This study aimed to investigate the prescribing trends of add-on therapy to metformin focusing on factors affecting the selection of second agents using real-world data. METHODS: Patients who were undergoing metformin monotherapy for at least 3 months and switched to metformin-based combination therapy were selected. The oral antidiabetic drugs used as add-on therapy were classified into 4 classes: dipeptidyl peptidase-4 inhibitors (DPP4I), sodium glucose cotransporter-2 inhibitors (SGLT2I), sulphonylureas (SU), and thiazolidinediones (TZD). The drug regimen was also classified as older and newer agents. Chi-square test and logistic regression analysis were performed to estimate the influencing factors. RESULTS: In 2014-2016, the use of DPP4I and SGLT2I increased, whereas the use of SU and TZD decreased. Our results show that the prescription pattern was influenced by the type and location of the institution, specialty of physicians, some comorbidities, and patient characteristics such as age and sex. Newer agents were more commonly used in younger patients. SGLT2I were more preferred in women than in men. Patients with dyslipidaemia showed increased odds of utilising newer agents. CONCLUSION: DPP4I were the most commonly utilised agents in metformin-based combination therapy and SGLT2I use is expected to increase more due to their cardioprotective effects. Proper selection of add-on therapy, based on drug-specific effects and patient factors, is necessary.
BACKGROUND: The American Diabetes Association guidelines recommend metformin monotherapy for type 2 diabetes mellitus as an initial agent due to its effectiveness and safety. If the target glycosylated haemoglobin level is not attained within 3 months, add-on therapy is recommended. This study aimed to investigate the prescribing trends of add-on therapy to metformin focusing on factors affecting the selection of second agents using real-world data. METHODS:Patients who were undergoing metformin monotherapy for at least 3 months and switched to metformin-based combination therapy were selected. The oral antidiabetic drugs used as add-on therapy were classified into 4 classes: dipeptidyl peptidase-4 inhibitors (DPP4I), sodium glucose cotransporter-2 inhibitors (SGLT2I), sulphonylureas (SU), and thiazolidinediones (TZD). The drug regimen was also classified as older and newer agents. Chi-square test and logistic regression analysis were performed to estimate the influencing factors. RESULTS: In 2014-2016, the use of DPP4I and SGLT2I increased, whereas the use of SU and TZD decreased. Our results show that the prescription pattern was influenced by the type and location of the institution, specialty of physicians, some comorbidities, and patient characteristics such as age and sex. Newer agents were more commonly used in younger patients. SGLT2I were more preferred in women than in men. Patients with dyslipidaemia showed increased odds of utilising newer agents. CONCLUSION: DPP4I were the most commonly utilised agents in metformin-based combination therapy and SGLT2I use is expected to increase more due to their cardioprotective effects. Proper selection of add-on therapy, based on drug-specific effects and patient factors, is necessary.
Authors: Nisa M Maruthur; Eva Tseng; Susan Hutfless; Lisa M Wilson; Catalina Suarez-Cuervo; Zackary Berger; Yue Chu; Emmanuel Iyoha; Jodi B Segal; Shari Bolen Journal: Ann Intern Med Date: 2016-04-19 Impact factor: 25.391
Authors: F A Ribola; F B Cançado; J H M Schoueri; V F De Toni; V H R Medeiros; D Feder Journal: Eur Rev Med Pharmacol Sci Date: 2017-01 Impact factor: 3.507