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Hyunah Kim  (Kim H) 2 Articles
Diabetes, Obesity and Metabolism
Association between Lung Function and New-Onset Diabetes Mellitus in Healthy Individuals after a 6-Year Follow-up
Hwa Young Lee, Juyoung Shin, Hyunah Kim, Seung-Hwan Lee, Jae-Hyoung Cho, Sook Young Lee, Hun-Sung Kim
Endocrinol Metab. 2021;36(6):1254-1267.   Published online December 13, 2021
DOI: https://doi.org/10.3803/EnM.2021.1249
  • 5,150 View
  • 134 Download
  • 9 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We analyzed hemoglobin A1c (HbA1c) levels and various lung function test results in healthy individuals after a 6-year follow-up period to explore the influence of lung function changes on glycemic control.
Methods
Subjects whose HbA1c levels did not qualify as diabetes mellitus (DM) and who had at least two consecutive lung function tests were selected among the people who visited a health promotion center. Lung function parameters, including forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FEV/FVC ratio, and forced expiratory flow 25% to 75% (FEF25%−75%), were divided into four groups based on their baseline quantiles. To evaluate future DM onset risk in relation to lung function changes, the correlation between baseline HbA1c levels and changes in lung function parameters after a 6-year follow-up period was analyzed.
Results
Overall, 17,568 individuals were included; 0.9% of the subjects were diagnosed with DM. The individuals included in the quartile with FEV1/FVC ratio values of 78% to 82% had lower risk of DM than those in the quartile with FEV1/FVC ratio values of ≥86% after adjusting for age, sex, and body mass index (P=0.04). Baseline percent predicted FEV1, FVC, FEV1/FVC ratio, and FEF25%−75%, and differences in the FEV1/FVC ratio or FEF25%−75%, showed negative linear correlations with baseline HbA1c levels.
Conclusion
Healthy subjects with FEV1/FVC ratio values between 78% and 82% had 40% lower risk for future DM. Smaller differences and lower baseline FEV1/FVC ratio or FEF25%−75% values were associated with higher baseline HbA1c levels. These findings suggest that airflow limitation affects systemic glucose control and that the FEV1/FVC ratio could be one of the factors predicting future DM risk in healthy individuals.

Citations

Citations to this article as recorded by  
  • Glycemic Control and Lung Function in Younger and Older Patients with Diabetes
    Nitita Piya-amornphan, Taweephol Sanpakdee, Chadaporn Permphet, António Raposo
    Advances in Public Health.2024;[Epub]     CrossRef
  • Effect modification of glycemic control on association of lung function with all-cause and cardiovascular mortality in persons with type 2 diabetes – A retrospective cohort study
    Cheng-Chieh Lin, Chia-Ing Li, Chuan-Wei Yang, Chiu-Shong Liu, Chih-Hsueh Lin, Shing-Yu Yang, Tsai-Chung Li
    Respiratory Medicine.2024; 234: 107804.     CrossRef
  • The association of spirometric small airways obstruction with respiratory symptoms, cardiometabolic diseases, and quality of life: results from the Burden of Obstructive Lung Disease (BOLD) study
    Ben Knox-Brown, Jaymini Patel, James Potts, Rana Ahmed, Althea Aquart-Stewart, Cristina Barbara, A. Sonia Buist, Hamid Hacene Cherkaski, Meriam Denguezli, Mohammed Elbiaze, Gregory E. Erhabor, Frits M. E. Franssen, Mohammed Al Ghobain, Thorarinn Gislason,
    Respiratory Research.2023;[Epub]     CrossRef
  • Diabetes-related perturbations in the integrity of physiologic barriers
    Arshag D. Mooradian
    Journal of Diabetes and its Complications.2023; 37(8): 108552.     CrossRef
  • Association of MMP7 T > C Gene Variant (rs10502001) and Expression in Chronic Obstructive Pulmonary Disease
    Saurabh Kumar, Suchit Swaroop, Akancha Sahu, Surya Kant, Monisha Banerjee
    DNA and Cell Biology.2023; 42(9): 548.     CrossRef
  • Association between glycated haemoglobin and the risk of chronic obstructive pulmonary disease: A prospective cohort study in UK biobank
    Mengyao Li, Yanan Wan, Zheng Zhu, Pengfei Luo, Hao Yu, Jian Su, Dong Hang, Yan Lu, Ran Tao, Ming Wu, Jinyi Zhou, Xikang Fan
    Diabetes, Obesity and Metabolism.2023; 25(12): 3599.     CrossRef
  • Combined multi-omics analysis reveals oil mist particulate matter-induced lung injury in rats: Pathological damage, proteomics, metabolic disturbances, and lung dysbiosis
    Huipeng Nie, Huanliang Liu, Yue Shi, Wenqing Lai, Xuan Liu, Zhuge Xi, Bencheng Lin
    Ecotoxicology and Environmental Safety.2022; 241: 113759.     CrossRef
  • Retrospective cohort analysis comparing changes in blood glucose level and body composition according to changes in thyroid‐stimulating hormone level
    Hyunah Kim, Da Young Jung, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyeon Woo Yim, Hun‐Sung Kim
    Journal of Diabetes.2022; 14(9): 620.     CrossRef
  • Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
    Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
    Journal of Personalized Medicine.2022; 12(11): 1899.     CrossRef
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Development of Clinical Data Mart of HMG-CoA Reductase Inhibitor for Varied Clinical Research
Hun-Sung Kim, Hyunah Kim, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Seung-Hwan Lee, Jae Hyoung Cho, In Young Choi, Kun-Ho Yoon
Endocrinol Metab. 2017;32(1):90-98.   Published online February 28, 2017
DOI: https://doi.org/10.3803/EnM.2017.32.1.90
  • 4,894 View
  • 58 Download
  • 19 Web of Science
  • 17 Crossref
AbstractAbstract PDFPubReader   
Background

The increasing use of electronic medical record (EMR) systems for documenting clinical medical data has led to EMR data being increasingly accessed for clinical trials. In this study, a database of patients who were prescribed statins for the first time was developed using EMR data. A clinical data mart (CDM) was developed for cohort study researchers.

Methods

Seoul St. Mary's Hospital implemented a clinical data warehouse (CDW) of data for ~2.8 million patients, 47 million prescription events, and laboratory results for 150 million cases. We developed a research database from a subset of the data on the basis of a study protocol. Data for patients who were prescribed a statin for the first time (between the period from January 1, 2009 to December 31, 2015), including personal data, laboratory data, diagnoses, and medications, were extracted.

Results

We extracted initial clinical data of statin from a CDW that was established to support clinical studies; the data was refined through a data quality management process. Data for 21,368 patients who were prescribed statins for the first time were extracted. We extracted data every 3 months for a period of 1 year. A total of 17 different statins were extracted. It was found that statins were first prescribed by the endocrinology department in most cases (69%, 14,865/21,368).

Conclusion

Study researchers can use our CDM for statins. Our EMR data for statins is useful for investigating the effectiveness of treatments and exploring new information on statins. Using EMR is advantageous for compiling an adequate study cohort in a short period.

Citations

Citations to this article as recorded by  
  • Ten-year Trends in Infectious Keratitis in South Korea
    Chanjoon Park, Hye Yeon Yoon, Young Sik Yoo, Hyun Soo Lee, Hyung Bin Hwang, Kyung Sun Na, Yang Kyung Cho, Eun Chul Kim, So Hyang Chung, Hyun Seung Kim, Yong-Soo Byun
    Journal of the Korean Ophthalmological Society.2024; 65(3): 181.     CrossRef
  • Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline
    Antoine Lamer, Chloé Saint-Dizier, Nicolas Paris, Emmanuel Chazard
    JMIR Medical Informatics.2024; 12: e54590.     CrossRef
  • Clinical Data Warehousing: A Scoping Review
    Zhan Wang, Catherine Craven, Mahanaz Syed, Melody Greer, Emel Seker, Shorab Syed, Meredith Nahm Zozus
    Journal of the Society for Clinical Data Management.2024;[Epub]     CrossRef
  • Long-term stroke and major bleeding risk in patients with non-valvular atrial fibrillation: A comparative analysis between non-vitamin K antagonist oral anticoagulants and warfarin using a clinical data warehouse
    Hancheol Lee, Jung Hwa Hong, Kwon-Duk Seo
    Frontiers in Neurology.2023;[Epub]     CrossRef
  • Digital Health Data Quality Issues: Systematic Review
    Rehan Syed, Rebekah Eden, Tendai Makasi, Ignatius Chukwudi, Azumah Mamudu, Mostafa Kamalpour, Dakshi Kapugama Geeganage, Sareh Sadeghianasl, Sander J J Leemans, Kanika Goel, Robert Andrews, Moe Thandar Wynn, Arthur ter Hofstede, Trina Myers
    Journal of Medical Internet Research.2023; 25: e42615.     CrossRef
  • Prediction of intradialytic hypotension using pre-dialysis features—a deep learning–based artificial intelligence model
    Hanbi Lee, Sung Joon Moon, Sung Woo Kim, Ji Won Min, Hoon Suk Park, Hye Eun Yoon, Young Soo Kim, Hyung Wook Kim, Chul Woo Yang, Sungjin Chung, Eun Sil Koh, Byung Ha Chung
    Nephrology Dialysis Transplantation.2023; 38(10): 2310.     CrossRef
  • Carpal tunnel syndrome and tenosynovitis in women with breast cancer associated with hormone therapy
    Dong Jae Shin, Kyung Eun Nam, Dae Heon Song, Sun Im, Sun Jae Won, Yeo Hyung Kim, Seong Hoon Lim, Jong In Lee
    Medicine.2022; 101(5): e28786.     CrossRef
  • Data Pseudonymization in a Range That Does Not Affect Data Quality: Correlation with the Degree of Participation of Clinicians
    Soo-Yong Shin, Hun-Sung Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Ten-year patient journey of stage III non-small cell lung cancer patients: A single-center, observational, retrospective study in Korea (Realtime autOmatically updated data warehOuse in healTh care; UNIVERSE-ROOT study)
    Hyun Ae Jung, Jong-Mu Sun, Se-Hoon Lee, Jin Seok Ahn, Myung-Ju Ahn, Keunchil Park
    Lung Cancer.2020; 146: 112.     CrossRef
  • Real-time autOmatically updated data warehOuse in healThcare (ROOT: An Innovative and Automated Data Collection System) (Preprint)
    Hyun Ae Jung, Oksoon Jeong, Dong Kyung Chang, Sehhoon Park, Jong-Mu Sun, Se-Hoon Lee, Jin Seok Ahn, Myung-Ju Ahn, Keunchil Park
    JMIR Medical Informatics.2020;[Epub]     CrossRef
  • Long-term effects of various types of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors on changes in glomerular filtration rate in Korea
    Seo Yeon Baik, Hyunah Kim, So Jung Yang, Tong Min Kim, Seung-Hwan Lee, Jae Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, Kun-Ho Yoon, Hun-Sung Kim
    Frontiers of Medicine.2019; 13(6): 713.     CrossRef
  • Proceed with Caution When Using Real World Data and Real World Evidence
    Hun-Sung Kim, Ju Han Kim
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
  • Change in ALT levels after administration of HMG‐CoA reductase inhibitors to subjects with pretreatment levels three times the upper normal limit in clinical practice
    Hyunah Kim, Hyeseon Lee, Tong Min Kim, So Jung Yang, Seo Yeon Baik, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun‐Ho Yoon, Hun‐Sung Kim
    Cardiovascular Therapeutics.2018;[Epub]     CrossRef
  • Developing a multi-center clinical data mart of ACEI and ARB for real-world evidence (RWE)
    Hun-Sung Kim, Sue Hyun Lee, Tong Min Kim, Ju Han Kim
    Clinical Hypertension.2018;[Epub]     CrossRef
  • Comparative Analysis of the Suspected Heparin‐Induced Thrombocytopenia Level in Korea
    Hun‐Sung Kim, Hyunah Kim, Yoo Jin Jeong, Hyunyong Lee, Hyeon Woo Yim, Ji il Kim, In Sung Moon, Jang‐Yong Kim
    Basic & Clinical Pharmacology & Toxicology.2017; 121(4): 360.     CrossRef
  • 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 Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung-Hwan Lee, Jae-Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun-Ho Yoon, Hun-Sung Kim
    Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156.     CrossRef
  • Use of Moderate‐Intensity Statins for Low‐Density Lipoprotein Cholesterol Level above 190 mg/dL at Baseline in Koreans
    Hun‐Sung Kim, Hyeseon Lee, Sue Hyun Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Hyunah Kim, Seung‐Hwan Lee, Jae Hyoung Cho, In‐Young Choi, Kun‐Ho Yoon, Ju Han Kim
    Basic & Clinical Pharmacology & Toxicology.2017; 121(4): 272.     CrossRef
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