Literature DB >> 28556206

The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG-CoA reductase inhibitors prescribed in Korean patients.

Tong Min Kim1, Hyunah Kim2, Yoo Jin Jeong1, Sun Jung Baik1, So Jung Yang1, Seung-Hwan Lee3, Jae-Hyoung Cho3, Hyunyong Lee4, Hyeon Woo Yim5, In Young Choi1, Kun-Ho Yoon1,3, Hun-Sung Kim1,3.   

Abstract

BACKGROUND: Very few studies conducted in Korea have investigated the relationship between statins and the incidence of diabetes. Therefore, we analyzed the progression from normal blood glucose to prediabetes and then to diabetes mellitus (DM) according to the type, intensity, and dose of statin prescribed.
METHODS: Data of patients who were first prescribed statins between 2009 and 2011 were extracted from electronic medical records. Patients with normal blood glucose or prediabetes were observed for 4 years after initiation of statin therapy.
RESULTS: A total of 2890 patients were included in our study and analyzed on the basis of the first statin they were prescribed. The incidence rate of DM in patients with prediabetes was 1.72 times that of patients with normal glucose levels (odds ratio = 1.72, 95% confidence interval = 1.41-2.10, P < .001). Regarding progression from normal blood glucose to prediabetes, the incidence rate of prediabetes was significantly lower in patients prescribed pitavastatin (odds ratio = 0.62, 95% confidence interval = 0.40-0.96, P = .031) compared to that in patients prescribed atorvastatin. Regarding the progression from normal blood glucose or prediabetes to DM, there were no significant differences among all statins.
CONCLUSIONS: Lower DM incidence in patients prescribed pitavastatin appears to be primarily because of the lower rate of progression from normal blood glucose to prediabetes. These findings indicate that avoiding statins because of DM risk is unjustified and that clinicians should prescribe statins from the appropriate potency group.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  diabetes mellitus; prediabetes; statin

Mesh:

Substances:

Year:  2017        PMID: 28556206     DOI: 10.1002/pds.4237

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  6 in total

Review 1.  Understanding and Utilizing Claim Data from the Korean National Health Insurance Service (NHIS) and Health Insurance Review & Assessment (HIRA) Database for Research.

Authors:  Dae-Sung Kyoung; Hun-Sung Kim
Journal:  J Lipid Atheroscler       Date:  2021-11-26

2.  Developing a multi-center clinical data mart of ACEI and ARB for real-world evidence (RWE).

Authors:  Hun-Sung Kim; Sue Hyun Lee; Tong Min Kim; Ju Han Kim
Journal:  Clin Hypertens       Date:  2018-12-15

3.  Real-world Evidence versus Randomized Controlled Trial: Clinical Research Based on Electronic Medical Records.

Authors:  Hun-Sung Kim; Suehyun Lee; Ju Han Kim
Journal:  J Korean Med Sci       Date:  2018-06-26       Impact factor: 2.153

4.  Exposure measurement error when assessing current glucocorticoid use using UK primary care electronic prescription data.

Authors:  Rebecca M Joseph; Tjeerd P van Staa; Mark Lunt; Michal Abrahamowicz; William G Dixon
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-09-28       Impact factor: 2.890

Review 5.  Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration.

Authors:  Hun Sung Kim; Dai Jin Kim; Kun Ho Yoon
Journal:  Endocrinol Metab (Seoul)       Date:  2019-12

6.  Development of Various Diabetes Prediction Models Using Machine Learning Techniques.

Authors:  Juyoung Shin; Jaewon Kim; Chanjung Lee; Joon Young Yoon; Seyeon Kim; Seungjae Song; Hun-Sung Kim
Journal:  Diabetes Metab J       Date:  2022-03-11       Impact factor: 5.893

  6 in total

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