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Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally

BACKGROUND: Patients suffering from polycystic ovary syndrome (PCOS) are often insulin resistant and at elevated risk for developing gestational diabetes mellitus (GDM). The aim of this study was to explore afamin, which can be determined preconceptionally to indicate patients who will subsequently...

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Autores principales: Köninger, Angela, Iannaccone, Antonella, Hajder, Ensar, Frank, Mirjam, Schmidt, Boerge, Schleussner, Ekkehard, Kimmig, Rainer, Gellhaus, Alexandra, Dieplinger, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bioscientifica Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510713/
https://www.ncbi.nlm.nih.gov/pubmed/30991357
http://dx.doi.org/10.1530/EC-19-0064
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author Köninger, Angela
Iannaccone, Antonella
Hajder, Ensar
Frank, Mirjam
Schmidt, Boerge
Schleussner, Ekkehard
Kimmig, Rainer
Gellhaus, Alexandra
Dieplinger, Hans
author_facet Köninger, Angela
Iannaccone, Antonella
Hajder, Ensar
Frank, Mirjam
Schmidt, Boerge
Schleussner, Ekkehard
Kimmig, Rainer
Gellhaus, Alexandra
Dieplinger, Hans
author_sort Köninger, Angela
collection PubMed
description BACKGROUND: Patients suffering from polycystic ovary syndrome (PCOS) are often insulin resistant and at elevated risk for developing gestational diabetes mellitus (GDM). The aim of this study was to explore afamin, which can be determined preconceptionally to indicate patients who will subsequently develop GDM. Serum concentrations of afamin are altered in conditions of oxidative stress like insulin resistance (IR) and correlate with the gold standard of IR determination, the HOMA index. METHODS: Afamin serum concentrations and the HOMA index were analyzed post hoc in 63 PCOS patients with live births. Patients were treated at Essen University Hospital, Germany, between 2009 and 2018. Mann–Whitney U test, T test, Spearman’s correlation, linear regression models and receiver-operating characteristic (ROC) analyses were performed for statistical analysis. RESULTS: Patients who developed GDM showed significantly higher HOMA and serum afamin values before their pregnancy (P < 0.001, respectively). ROCs for afamin concentrations showed an area under the curve of 0.78 (95% confidence interval (CI) 0.65–0.90) and of 0.77 (95% CI 0.64–0.89) for the HOMA index. An afamin threshold of 88.6 mg/L distinguished between women who will develop GDM and those who will not with a sensitivity of 79.3% and a specificity of 79.4%. A HOMA index of 2.5 showed a sensitivity of 65.5% and a specificity of 88.2%. CONCLUSION: The HOMA index and its surrogate parameter afamin are able to identify pre-pregnant PCOS patients who are at risk to develop GDM. Serum afamin concentrations are independent of fasting status and therefore an easily determinable biomarker.
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spelling pubmed-65107132019-05-15 Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally Köninger, Angela Iannaccone, Antonella Hajder, Ensar Frank, Mirjam Schmidt, Boerge Schleussner, Ekkehard Kimmig, Rainer Gellhaus, Alexandra Dieplinger, Hans Endocr Connect Research BACKGROUND: Patients suffering from polycystic ovary syndrome (PCOS) are often insulin resistant and at elevated risk for developing gestational diabetes mellitus (GDM). The aim of this study was to explore afamin, which can be determined preconceptionally to indicate patients who will subsequently develop GDM. Serum concentrations of afamin are altered in conditions of oxidative stress like insulin resistance (IR) and correlate with the gold standard of IR determination, the HOMA index. METHODS: Afamin serum concentrations and the HOMA index were analyzed post hoc in 63 PCOS patients with live births. Patients were treated at Essen University Hospital, Germany, between 2009 and 2018. Mann–Whitney U test, T test, Spearman’s correlation, linear regression models and receiver-operating characteristic (ROC) analyses were performed for statistical analysis. RESULTS: Patients who developed GDM showed significantly higher HOMA and serum afamin values before their pregnancy (P < 0.001, respectively). ROCs for afamin concentrations showed an area under the curve of 0.78 (95% confidence interval (CI) 0.65–0.90) and of 0.77 (95% CI 0.64–0.89) for the HOMA index. An afamin threshold of 88.6 mg/L distinguished between women who will develop GDM and those who will not with a sensitivity of 79.3% and a specificity of 79.4%. A HOMA index of 2.5 showed a sensitivity of 65.5% and a specificity of 88.2%. CONCLUSION: The HOMA index and its surrogate parameter afamin are able to identify pre-pregnant PCOS patients who are at risk to develop GDM. Serum afamin concentrations are independent of fasting status and therefore an easily determinable biomarker. Bioscientifica Ltd 2019-04-16 /pmc/articles/PMC6510713/ /pubmed/30991357 http://dx.doi.org/10.1530/EC-19-0064 Text en © 2019 The authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. (http://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Research
Köninger, Angela
Iannaccone, Antonella
Hajder, Ensar
Frank, Mirjam
Schmidt, Boerge
Schleussner, Ekkehard
Kimmig, Rainer
Gellhaus, Alexandra
Dieplinger, Hans
Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally
title Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally
title_full Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally
title_fullStr Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally
title_full_unstemmed Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally
title_short Afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally
title_sort afamin predicts gestational diabetes in polycystic ovary syndrome patients preconceptionally
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510713/
https://www.ncbi.nlm.nih.gov/pubmed/30991357
http://dx.doi.org/10.1530/EC-19-0064
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