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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...

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Autores principales: Miao, Shumei, Dong, Xiao, Zhang, Xin, Jing, Shenqi, Zhang, Xiaoliang, Xu, Tingyu, Wang, Li, Du, Xianglin, Xu, Hua, Liu, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Publishing Asia Pty Ltd 2019
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.
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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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