Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation

© 2015 The Authors. Journal of Obstetrics and Gynaecology Research © 2015 Japan Society of Obstetrics and Gynecology Aim: This study investigated the prevalence of disease-causing chronic anovulation and proposes a logical investigation flowchart to facilitate diagnosis in women presenting with chro...

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Main Authors: Pitch Chandeying, Tawiwan Pantasri
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/44455
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-444552018-04-25T07:51:35Z Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation Pitch Chandeying Tawiwan Pantasri Agricultural and Biological Sciences © 2015 The Authors. Journal of Obstetrics and Gynaecology Research © 2015 Japan Society of Obstetrics and Gynecology Aim: This study investigated the prevalence of disease-causing chronic anovulation and proposes a logical investigation flowchart to facilitate diagnosis in women presenting with chronic anovulation. Material and Methods: The cross-sectional retrospective study was performed using 293 reproductive-aged women who were diagnosed with chronic anovulation at the Gynecologic Endocrinology Unit, Faculty of Medicine, Chiang Mai University between January 2008 and December 2012. The demographic data, laboratory investigations and diagnoses were collected. Results: Among 293 patients recruited into the study, the common causes of anovulation were polycystic ovary syndrome (PCOS) (73.4%), prolactin disorder (13.3%) and unexplained chronic anovulation (7.5%). The less common causes were thyroid disorders, congenital adrenal hyperplasia, adrenal tumors and Cushing's disease. There was a strong positive association between the levels of 17-hydroxyprogesterone and/or dehydroepiandrosterone sulfate with the levels of testosterone and androstenedione. The sensitivity and specificity of serum luteinizing hormone to accurately diagnose PCOS were 29.38% and 55.56% (P = 0.03). The luteinizing hormone/follicle-stimulating hormone ratio ≥ 3 had a sensitivity and specificity at 18.56% and 92.86% (P = 0.03) for PCOS diagnosis. Conclusion: Serum androstenedione, testosterone, thyroid-stimulating hormone, prolactin levels and pelvic ultrasonography should be included in the initial investigations for anovulation. The 17-hydroxyprogesterone and dehydroepiandrosterone sulfate levels can be used for secondary anovulation evaluations. 2018-01-24T04:43:08Z 2018-01-24T04:43:08Z 2015-01-01 Journal 14470756 13418076 2-s2.0-84984633493 10.1111/jog.12685 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84984633493&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44455
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Pitch Chandeying
Tawiwan Pantasri
Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation
description © 2015 The Authors. Journal of Obstetrics and Gynaecology Research © 2015 Japan Society of Obstetrics and Gynecology Aim: This study investigated the prevalence of disease-causing chronic anovulation and proposes a logical investigation flowchart to facilitate diagnosis in women presenting with chronic anovulation. Material and Methods: The cross-sectional retrospective study was performed using 293 reproductive-aged women who were diagnosed with chronic anovulation at the Gynecologic Endocrinology Unit, Faculty of Medicine, Chiang Mai University between January 2008 and December 2012. The demographic data, laboratory investigations and diagnoses were collected. Results: Among 293 patients recruited into the study, the common causes of anovulation were polycystic ovary syndrome (PCOS) (73.4%), prolactin disorder (13.3%) and unexplained chronic anovulation (7.5%). The less common causes were thyroid disorders, congenital adrenal hyperplasia, adrenal tumors and Cushing's disease. There was a strong positive association between the levels of 17-hydroxyprogesterone and/or dehydroepiandrosterone sulfate with the levels of testosterone and androstenedione. The sensitivity and specificity of serum luteinizing hormone to accurately diagnose PCOS were 29.38% and 55.56% (P = 0.03). The luteinizing hormone/follicle-stimulating hormone ratio ≥ 3 had a sensitivity and specificity at 18.56% and 92.86% (P = 0.03) for PCOS diagnosis. Conclusion: Serum androstenedione, testosterone, thyroid-stimulating hormone, prolactin levels and pelvic ultrasonography should be included in the initial investigations for anovulation. The 17-hydroxyprogesterone and dehydroepiandrosterone sulfate levels can be used for secondary anovulation evaluations.
format Journal
author Pitch Chandeying
Tawiwan Pantasri
author_facet Pitch Chandeying
Tawiwan Pantasri
author_sort Pitch Chandeying
title Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation
title_short Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation
title_full Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation
title_fullStr Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation
title_full_unstemmed Prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation
title_sort prevalence of conditions causing chronic anovulation and the proposed algorithm for anovulation evaluation
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84984633493&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44455
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