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Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes
BACKGROUND: Pioglitazone may have a protective effect against cardiovascular disease risk among type 2 diabetes (T2D) patients, but evidence from China is lacking. This study investigated the association using electronic health records (EHR) data from a Chinese cohort of T2D patients. METHODS: All T...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley Publishing Asia Pty Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6850402/ https://www.ncbi.nlm.nih.gov/pubmed/30597747 http://dx.doi.org/10.1111/1753-0407.12894 |
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author | Miao, Shumei Dong, Xiao Zhang, Xin Jing, Shenqi Zhang, Xiaoliang Xu, Tingyu Wang, Li Du, Xianglin Xu, Hua Liu, Yun |
author_facet | Miao, Shumei Dong, Xiao Zhang, Xin Jing, Shenqi Zhang, Xiaoliang Xu, Tingyu Wang, Li Du, Xianglin Xu, Hua Liu, Yun |
author_sort | Miao, Shumei |
collection | PubMed |
description | BACKGROUND: Pioglitazone may have a protective effect against cardiovascular disease risk among type 2 diabetes (T2D) patients, but evidence from China is lacking. This study investigated the association using electronic health records (EHR) data from a Chinese cohort of T2D patients. METHODS: All T2D patients from the First Affiliated Hospital of Nanjing Medical University who were prescribed at least one oral antidiabetic drug and were aged ≥18 years between 1 July 2005 and 30 June 2017 were eligible for inclusion (n = 71 783). Pioglitazone use was determined in 6‐month study intervals, with outcome events of myocardial infarction (MI), ischemic stroke, and heart failure. Poisson regression was used to estimate adjusted rate ratios (RRs) with 95% confidence intervals (CIs). RESULTS: In multivariable analysis adjusted for potential confounders, pioglitazone use, compared with no use, was associated with a significant 39% decreased risk of MI (RR = 0.61; 95% CI = 0.42‐0.90; P = 0.012). Pioglitazone use was also associated with a non‐significant reduction in risk of heart failure or stroke. When MI, heart failure, and stroke were combined as a composite outcome, pioglitazone use was associated with a 30% decrease in risk (RR = 0.70; 95% CI = 0.56‐0.88; P = 0.002). CONCLUSIONS: This study demonstrates that applying informatics tools to a large EHR database could be a good way to efficiently conduct clinical observational research. In addition, the findings validated the favorable effect of pioglitazone on the risk of MI among T2D patients in China, with the use of pioglitazone decreasing the risk of MI among those with T2D. |
format | Online Article Text |
id | pubmed-6850402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wiley Publishing Asia Pty Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-68504022019-11-18 Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes Miao, Shumei Dong, Xiao Zhang, Xin Jing, Shenqi Zhang, Xiaoliang Xu, Tingyu Wang, Li Du, Xianglin Xu, Hua Liu, Yun J Diabetes Original Articles BACKGROUND: Pioglitazone may have a protective effect against cardiovascular disease risk among type 2 diabetes (T2D) patients, but evidence from China is lacking. This study investigated the association using electronic health records (EHR) data from a Chinese cohort of T2D patients. METHODS: All T2D patients from the First Affiliated Hospital of Nanjing Medical University who were prescribed at least one oral antidiabetic drug and were aged ≥18 years between 1 July 2005 and 30 June 2017 were eligible for inclusion (n = 71 783). Pioglitazone use was determined in 6‐month study intervals, with outcome events of myocardial infarction (MI), ischemic stroke, and heart failure. Poisson regression was used to estimate adjusted rate ratios (RRs) with 95% confidence intervals (CIs). RESULTS: In multivariable analysis adjusted for potential confounders, pioglitazone use, compared with no use, was associated with a significant 39% decreased risk of MI (RR = 0.61; 95% CI = 0.42‐0.90; P = 0.012). Pioglitazone use was also associated with a non‐significant reduction in risk of heart failure or stroke. When MI, heart failure, and stroke were combined as a composite outcome, pioglitazone use was associated with a 30% decrease in risk (RR = 0.70; 95% CI = 0.56‐0.88; P = 0.002). CONCLUSIONS: This study demonstrates that applying informatics tools to a large EHR database could be a good way to efficiently conduct clinical observational research. In addition, the findings validated the favorable effect of pioglitazone on the risk of MI among T2D patients in China, with the use of pioglitazone decreasing the risk of MI among those with T2D. Wiley Publishing Asia Pty Ltd 2019-02-05 2019-08 /pmc/articles/PMC6850402/ /pubmed/30597747 http://dx.doi.org/10.1111/1753-0407.12894 Text en © 2018 The Authors. Journal of Diabetes published by John Wiley & Sons Australia, Ltd and Ruijin Hospital, Shanghai Jiaotong University School of Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Miao, Shumei Dong, Xiao Zhang, Xin Jing, Shenqi Zhang, Xiaoliang Xu, Tingyu Wang, Li Du, Xianglin Xu, Hua Liu, Yun Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes |
title | Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes |
title_full | Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes |
title_fullStr | Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes |
title_full_unstemmed | Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes |
title_short | Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes |
title_sort | detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of chinese patients with type 2 diabetes |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6850402/ https://www.ncbi.nlm.nih.gov/pubmed/30597747 http://dx.doi.org/10.1111/1753-0407.12894 |
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