Etienne Larger , Laure Alexandre-Heymann , Simon Pilet , Thomas Raoul , Lucas Perray , Milka Maravic
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We developed an algorithm to find out the number of patients treated for diabetes from July 2018 to June 2019 and to classify diabetes types and the sequence of drugs dispense over the years, including treatments for the control of diabetes itself and drugs for associated conditions.</p></div><div><h3>Results</h3><p>A raw number of 2.3 million patients was studied, corresponding to an extrapolated 3.9 million patients in mainland France. Seven percent were classified as having Type 1 Diabetes, 86% Type 2 Diabetes (T2D), 0.5% insulin-treated gestational diabetes, and 6% remained unclassified. In subjects with T2D, metformin was the most frequently prescribed glucose lowering drug, followed by DPP4 inhibitors and sulfonylureas. Main coprescribed medication classes were lipid-modifying agents and antihypertensive agents. Of note, about a third of the patients received neuropsychiatric drugs and 40% a proton-pump inhibitor. We also had an unbiased view of compliance to treatment, that was below 50%.</p></div><div><h3>Conclusion</h3><p>The algorithm we built could be used to monitor changes of strategies to control blood glucose and comorbidities. Our findings highlight the burden of polypharmacy in patients with diabetes.</p></div>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666970622000385/pdfft?md5=235f82eef1731a4e5e1d69894d8d499b&pid=1-s2.0-S2666970622000385-main.pdf","citationCount":"2","resultStr":"{\"title\":\"Polypharmacy in diabetes: A nation-wide, pharmacy-based, observational study\",\"authors\":\"Etienne Larger , Laure Alexandre-Heymann , Simon Pilet , Thomas Raoul , Lucas Perray , Milka Maravic\",\"doi\":\"10.1016/j.deman.2022.100088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><p>The aim of the present study was to build a classification of diabetes according to the time-sequence of treatment. A second aim was to describe the diversity of drugs prescribed for diabetes and associated conditions in a nation-wide cohort of patients with diabetes.</p></div><div><h3>Patients and method</h3><p>LRx is an outpatient care nation-wide medication dispense database. It consists of a panel of 10,000 retail pharmacies in France. We developed an algorithm to find out the number of patients treated for diabetes from July 2018 to June 2019 and to classify diabetes types and the sequence of drugs dispense over the years, including treatments for the control of diabetes itself and drugs for associated conditions.</p></div><div><h3>Results</h3><p>A raw number of 2.3 million patients was studied, corresponding to an extrapolated 3.9 million patients in mainland France. Seven percent were classified as having Type 1 Diabetes, 86% Type 2 Diabetes (T2D), 0.5% insulin-treated gestational diabetes, and 6% remained unclassified. In subjects with T2D, metformin was the most frequently prescribed glucose lowering drug, followed by DPP4 inhibitors and sulfonylureas. Main coprescribed medication classes were lipid-modifying agents and antihypertensive agents. Of note, about a third of the patients received neuropsychiatric drugs and 40% a proton-pump inhibitor. We also had an unbiased view of compliance to treatment, that was below 50%.</p></div><div><h3>Conclusion</h3><p>The algorithm we built could be used to monitor changes of strategies to control blood glucose and comorbidities. Our findings highlight the burden of polypharmacy in patients with diabetes.</p></div>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666970622000385/pdfft?md5=235f82eef1731a4e5e1d69894d8d499b&pid=1-s2.0-S2666970622000385-main.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666970622000385\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666970622000385","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Polypharmacy in diabetes: A nation-wide, pharmacy-based, observational study
Aim
The aim of the present study was to build a classification of diabetes according to the time-sequence of treatment. A second aim was to describe the diversity of drugs prescribed for diabetes and associated conditions in a nation-wide cohort of patients with diabetes.
Patients and method
LRx is an outpatient care nation-wide medication dispense database. It consists of a panel of 10,000 retail pharmacies in France. We developed an algorithm to find out the number of patients treated for diabetes from July 2018 to June 2019 and to classify diabetes types and the sequence of drugs dispense over the years, including treatments for the control of diabetes itself and drugs for associated conditions.
Results
A raw number of 2.3 million patients was studied, corresponding to an extrapolated 3.9 million patients in mainland France. Seven percent were classified as having Type 1 Diabetes, 86% Type 2 Diabetes (T2D), 0.5% insulin-treated gestational diabetes, and 6% remained unclassified. In subjects with T2D, metformin was the most frequently prescribed glucose lowering drug, followed by DPP4 inhibitors and sulfonylureas. Main coprescribed medication classes were lipid-modifying agents and antihypertensive agents. Of note, about a third of the patients received neuropsychiatric drugs and 40% a proton-pump inhibitor. We also had an unbiased view of compliance to treatment, that was below 50%.
Conclusion
The algorithm we built could be used to monitor changes of strategies to control blood glucose and comorbidities. Our findings highlight the burden of polypharmacy in patients with diabetes.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.