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Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study

OBJECTIVE: Long-term glycemic variability has recently been recognized as another risk factor for future adverse health outcomes. We aimed to evaluate the risk of gestational diabetes mellitus (GDM) according to the prepregnancy long-term fasting plasma glucose (FPG) variability. RESEARCH DESIGN AND...

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Autores principales: Kim, Jung A, Kim, Jinsil, Roh, Eun, Hong, So-hyeon, Lee, You-Bin, Baik, Sei Hyun, Choi, Kyung Mook, Noh, Eunjin, Hwang, Soon Young, Cho, Geum Joon, Yoo, Hye Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202745/
https://www.ncbi.nlm.nih.gov/pubmed/32327443
http://dx.doi.org/10.1136/bmjdrc-2019-001084
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author Kim, Jung A
Kim, Jinsil
Roh, Eun
Hong, So-hyeon
Lee, You-Bin
Baik, Sei Hyun
Choi, Kyung Mook
Noh, Eunjin
Hwang, Soon Young
Cho, Geum Joon
Yoo, Hye Jin
author_facet Kim, Jung A
Kim, Jinsil
Roh, Eun
Hong, So-hyeon
Lee, You-Bin
Baik, Sei Hyun
Choi, Kyung Mook
Noh, Eunjin
Hwang, Soon Young
Cho, Geum Joon
Yoo, Hye Jin
author_sort Kim, Jung A
collection PubMed
description OBJECTIVE: Long-term glycemic variability has recently been recognized as another risk factor for future adverse health outcomes. We aimed to evaluate the risk of gestational diabetes mellitus (GDM) according to the prepregnancy long-term fasting plasma glucose (FPG) variability. RESEARCH DESIGN AND METHODS: A total of 164 053 women who delivered their first baby between January 1, 2012 and December 31, 2015, were selected from the Korean National Health Insurance data. All women underwent at least three national health screening examinations, and the last examination should be conducted within 2 years before their first delivery. GDM was defined as the presence of more than four times of claim of GDM (International Classification of Disease, 10th Revision (ICD-10) O24.4 and O24.9) or prescription of insulin under the ICD-code of GDM. FPG variability was assessed by variability independent of the mean (FPG-VIM), coefficient of variation, SD, and average successive variability. RESULTS: Among the 164 053 women, GDM developed in 6627 (4.04%). Those in the higher quartiles of FPG-VIM showed a stepwise increased risk of GDM. In fully adjusted model, the ORs for GDM was 1.22 (95% CI 1.14 to 1.31) in women with the highest FPG-VIM quartile compared with those in the lowest quartile. The risk for GDM requiring insulin therapy was 48% increase in women in the highest quartile of FPG-VIM compared with those in the lowest quartile, while that for GDM not requiring insulin therapy was 19% increase. The association between high FPG variability and the risk of GDM was intensified in the obese and aged more than 35 years women. CONCLUSIONS: Increased FPG variability in the prepregnancy state is associated with the risk of GDM independent of confounding factors. Therefore, prepregnancy FPG variability might be a surrogate marker of the risk of GDM.
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spelling pubmed-72027452020-05-13 Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study Kim, Jung A Kim, Jinsil Roh, Eun Hong, So-hyeon Lee, You-Bin Baik, Sei Hyun Choi, Kyung Mook Noh, Eunjin Hwang, Soon Young Cho, Geum Joon Yoo, Hye Jin BMJ Open Diabetes Res Care Epidemiology/Health Services Research OBJECTIVE: Long-term glycemic variability has recently been recognized as another risk factor for future adverse health outcomes. We aimed to evaluate the risk of gestational diabetes mellitus (GDM) according to the prepregnancy long-term fasting plasma glucose (FPG) variability. RESEARCH DESIGN AND METHODS: A total of 164 053 women who delivered their first baby between January 1, 2012 and December 31, 2015, were selected from the Korean National Health Insurance data. All women underwent at least three national health screening examinations, and the last examination should be conducted within 2 years before their first delivery. GDM was defined as the presence of more than four times of claim of GDM (International Classification of Disease, 10th Revision (ICD-10) O24.4 and O24.9) or prescription of insulin under the ICD-code of GDM. FPG variability was assessed by variability independent of the mean (FPG-VIM), coefficient of variation, SD, and average successive variability. RESULTS: Among the 164 053 women, GDM developed in 6627 (4.04%). Those in the higher quartiles of FPG-VIM showed a stepwise increased risk of GDM. In fully adjusted model, the ORs for GDM was 1.22 (95% CI 1.14 to 1.31) in women with the highest FPG-VIM quartile compared with those in the lowest quartile. The risk for GDM requiring insulin therapy was 48% increase in women in the highest quartile of FPG-VIM compared with those in the lowest quartile, while that for GDM not requiring insulin therapy was 19% increase. The association between high FPG variability and the risk of GDM was intensified in the obese and aged more than 35 years women. CONCLUSIONS: Increased FPG variability in the prepregnancy state is associated with the risk of GDM independent of confounding factors. Therefore, prepregnancy FPG variability might be a surrogate marker of the risk of GDM. BMJ Publishing Group 2020-04-22 /pmc/articles/PMC7202745/ /pubmed/32327443 http://dx.doi.org/10.1136/bmjdrc-2019-001084 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology/Health Services Research
Kim, Jung A
Kim, Jinsil
Roh, Eun
Hong, So-hyeon
Lee, You-Bin
Baik, Sei Hyun
Choi, Kyung Mook
Noh, Eunjin
Hwang, Soon Young
Cho, Geum Joon
Yoo, Hye Jin
Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
title Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
title_full Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
title_fullStr Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
title_full_unstemmed Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
title_short Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
title_sort association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study
topic Epidemiology/Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202745/
https://www.ncbi.nlm.nih.gov/pubmed/32327443
http://dx.doi.org/10.1136/bmjdrc-2019-001084
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