Please use this identifier to cite or link to this item:
https://repository.monashhealth.org/monashhealthjspui/handle/1/38765
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rodgers R.J. | en |
dc.contributor.author | Moran L.J. | en |
dc.contributor.author | Pankhurst M.W. | en |
dc.contributor.author | Shorakae S. | en |
dc.contributor.author | Teede H.J. | en |
dc.date.accessioned | 2021-05-14T13:14:12Z | en |
dc.date.available | 2021-05-14T13:14:12Z | en |
dc.date.copyright | 2017 | en |
dc.date.created | 20171114 | en |
dc.date.issued | 2017-11-14 | en |
dc.identifier.citation | Fertility and Sterility. 108 (5) (pp 851-857.e2), 2017. Date of Publication: November 2017. | en |
dc.identifier.issn | 0015-0282 | en |
dc.identifier.uri | https://repository.monashhealth.org/monashhealthjspui/handle/1/38765 | en |
dc.description.abstract | Objective To compare total antimullerian hormone (AMH), proAMH, AMHN,C, and the ratio of the two forms in predictive models for polycystic ovary syndrome (PCOS) diagnosis. Total AMH consists of proAMH (inactive precursor) and AMHN,C (receptor-competent), but neither isoform has been tested individually for their ability to predict PCOS diagnosis. Design Cross-sectional study using biobanked samples collected between July 2008 and January 2010. Setting Not applicable. Patient(s) Overweight, premenopausal women aged 18-45 years with PCOS (n = 45, with 21 fulfilling National Institutes of Health diagnostic criteria and 24 fulfilling European Society for Human Reproduction and Embryology/American Society for Reproductive Medicine (ESHRE) criteria, but not National Institutes of Health criteria) and without PCOS (n = 23 controls). Intervention(s) None. Main Outcome Measure(s) Serum concentrations of proAMH and total AMH (proAMH and AMHN,C combined) were determined by immunoassay. The AMHN,C concentrations were calculated by subtraction ([AMHN,C] = [total AMH] - [proAMH]). Relative levels of proAMH were expressed as the AMH prohormone index (API = [ProAMH]/[Total AMH] x 100). Result(s) In women with PCOS, total AMH, proAMH, and AMHN,C levels were higher, and the API was lower (P=.010), than in controls indicating increased conversion of proAMH to AMHN,C. Receiver-operating characteristic analysis for proAMH (area under the curve [AUC] = 0.82), AMHN,C (AUC = 0.86), and API (AUC = 0.70) did not improve the prediction for PCOS when compared with total AMH (AUC = 0.86). Conclusion(s) The proAMH and AMHN,C do not appear to improve the ability to predict a diagnosis of PCOS beyond total AMH assays. However, the ratio of inactive proAMH precursor to receptor-competent AMHN,C (API) differs in women with PCOS relative to unaffected controls indicating that AMH signaling mechanisms may be altered in women with PCOS.Copyright © 2017 American Society for Reproductive Medicine | en |
dc.language | en | en |
dc.language | English | en |
dc.publisher | Elsevier Inc. (E-mail: usjcs@elsevier.com) | en |
dc.relation.ispartof | Fertility and Sterility | en |
dc.title | Efficacy of predictive models for polycystic ovary syndrome using serum levels of two antimullerian hormone isoforms (proAMH and AMHN,C). | en |
dc.type | Article | en |
dc.type.studyortrial | Observational study (cohort, case-control, cross sectional or survey) | - |
dc.identifier.doi | http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1016/j.fertnstert.2017.08.012 | en |
dc.publisher.place | United States | en |
dc.identifier.pubmedid | 29079276 [http://www.ncbi.nlm.nih.gov/pubmed/?term=29079276] | en |
dc.identifier.source | 618948888 | en |
dc.identifier.institution | (Pankhurst) Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand (Rodgers, Moran) The Robinson Research Institute, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia (Shorakae, Teede, Moran) Monash Centre for Health Research Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia (Shorakae, Teede) Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Victoria, Australia | en |
dc.description.address | M.W. Pankhurst, Department of Anatomy, University of Otago, PO Box 913, Dunedin 9054, New Zealand. E-mail: michael.pankhurst@otago.ac.nz | en |
dc.description.publicationstatus | Embase | en |
dc.rights.statement | Copyright 2017 Elsevier B.V., All rights reserved. | en |
dc.subect.keywords | Predictive models prohormone proprotein receiver operator characteristic analysis testosterone | en |
dc.identifier.authoremail | Pankhurst M.W.; michael.pankhurst@otago.ac.nz | en |
dc.description.grant | No: 101169 Organization: (SAHMRI) *South Australian Health and Medical Research Institute* Organization No: 100009843 Country: Australia | en |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | none | - |
item.openairetype | Article | - |
crisitem.author.dept | Diabetes and Vascular Medicine | - |
Appears in Collections: | Articles |
Items in Monash Health Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.