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Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS?
BACKGROUND: Polycystic ovary syndrome (PCOS) is considered a risk factor for the development of type 2 diabetes mellitus (T2DM). However, which is the most appropriate way to evaluate dysglycemia in women with PCOS and who are at increased risk are as yet unclear. AIM OF THE STUDY: To determine the...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066574/ https://www.ncbi.nlm.nih.gov/pubmed/35258478 http://dx.doi.org/10.1530/EC-21-0358 |
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author | Livadas, Sarantis Bothou, Christina Kuliczkowska-Płaksej, Justyna Robeva, Ralitsa Vryonidou, Andromahi Macut, Jelica Bjekic Androulakis, Ioannis Opalic, Milica Mouslech, Zadalla Milewicz, Andrej Gambineri, Alessandra Panidis, Dimitrios Macut, Djuro |
author_facet | Livadas, Sarantis Bothou, Christina Kuliczkowska-Płaksej, Justyna Robeva, Ralitsa Vryonidou, Andromahi Macut, Jelica Bjekic Androulakis, Ioannis Opalic, Milica Mouslech, Zadalla Milewicz, Andrej Gambineri, Alessandra Panidis, Dimitrios Macut, Djuro |
author_sort | Livadas, Sarantis |
collection | PubMed |
description | BACKGROUND: Polycystic ovary syndrome (PCOS) is considered a risk factor for the development of type 2 diabetes mellitus (T2DM). However, which is the most appropriate way to evaluate dysglycemia in women with PCOS and who are at increased risk are as yet unclear. AIM OF THE STUDY: To determine the prevalence of T2DM, impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) in PCOS women and potential factors to identify those at risk. SUBJECTS AND METHODS: The oral glucose tolerance test (OGTT), biochemical/hormonal profile, and ovarian ultrasound data from 1614 Caucasian women with PCOS and 362 controls were analyzed in this cross-sectional multicenter study. The data were categorized according to age and BMI. RESULTS: Dysglycemia (T2DM, IGT, and IFG according to World Health Organization criteria) was more frequent in the PCOS group compared to controls: 2.2% vs 0.8%, P = 0.04; 9.5% vs 7.4%, P = 0.038; 14.2% vs 9.1%, P = 0.002, respectively. OGTT was essential for T2DM diagnosis, since in 88% of them basal glucose values were inconclusive for diagnosis. The presence of either T2DM or IFG was irrespective of age (P = 0.54) and BMI (P = 0.32), although the latter was associated with IGT (P = 0.021). There was no impact of age and BMI status on the prevalence of T2DM or IFG. Regression analysis revealed a role for age, BMI, fat deposition, androgens, and insulin resistance for dysglycemia. However, none of the factors prevailed as a useful marker employed in clinical practice. CONCLUSIONS: One-third of our cohort of PCOS women with either T2DM or IGT displayed normal fasting glucose values but without confirming any specific predictor for dysglycemic condition. Hence, the evaluation of glycemic status using OGTT in all women with PCOS is strongly supported. |
format | Online Article Text |
id | pubmed-9066574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-90665742022-05-04 Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS? Livadas, Sarantis Bothou, Christina Kuliczkowska-Płaksej, Justyna Robeva, Ralitsa Vryonidou, Andromahi Macut, Jelica Bjekic Androulakis, Ioannis Opalic, Milica Mouslech, Zadalla Milewicz, Andrej Gambineri, Alessandra Panidis, Dimitrios Macut, Djuro Endocr Connect Research BACKGROUND: Polycystic ovary syndrome (PCOS) is considered a risk factor for the development of type 2 diabetes mellitus (T2DM). However, which is the most appropriate way to evaluate dysglycemia in women with PCOS and who are at increased risk are as yet unclear. AIM OF THE STUDY: To determine the prevalence of T2DM, impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) in PCOS women and potential factors to identify those at risk. SUBJECTS AND METHODS: The oral glucose tolerance test (OGTT), biochemical/hormonal profile, and ovarian ultrasound data from 1614 Caucasian women with PCOS and 362 controls were analyzed in this cross-sectional multicenter study. The data were categorized according to age and BMI. RESULTS: Dysglycemia (T2DM, IGT, and IFG according to World Health Organization criteria) was more frequent in the PCOS group compared to controls: 2.2% vs 0.8%, P = 0.04; 9.5% vs 7.4%, P = 0.038; 14.2% vs 9.1%, P = 0.002, respectively. OGTT was essential for T2DM diagnosis, since in 88% of them basal glucose values were inconclusive for diagnosis. The presence of either T2DM or IFG was irrespective of age (P = 0.54) and BMI (P = 0.32), although the latter was associated with IGT (P = 0.021). There was no impact of age and BMI status on the prevalence of T2DM or IFG. Regression analysis revealed a role for age, BMI, fat deposition, androgens, and insulin resistance for dysglycemia. However, none of the factors prevailed as a useful marker employed in clinical practice. CONCLUSIONS: One-third of our cohort of PCOS women with either T2DM or IGT displayed normal fasting glucose values but without confirming any specific predictor for dysglycemic condition. Hence, the evaluation of glycemic status using OGTT in all women with PCOS is strongly supported. Bioscientifica Ltd 2022-03-08 /pmc/articles/PMC9066574/ /pubmed/35258478 http://dx.doi.org/10.1530/EC-21-0358 Text en © The authors https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | Research Livadas, Sarantis Bothou, Christina Kuliczkowska-Płaksej, Justyna Robeva, Ralitsa Vryonidou, Andromahi Macut, Jelica Bjekic Androulakis, Ioannis Opalic, Milica Mouslech, Zadalla Milewicz, Andrej Gambineri, Alessandra Panidis, Dimitrios Macut, Djuro Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS? |
title | Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS? |
title_full | Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS? |
title_fullStr | Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS? |
title_full_unstemmed | Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS? |
title_short | Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS? |
title_sort | can dysglycemia in ogtt be predicted by baseline parameters in patients with pcos? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066574/ https://www.ncbi.nlm.nih.gov/pubmed/35258478 http://dx.doi.org/10.1530/EC-21-0358 |
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