Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/106327
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Type: Journal article
Title: Performance of mass spectrometry steroid profiling for diagnosis of polycystic ovary syndrome
Author: Handelsman, D.
Teede, H.
Desai, R.
Norman, R.
Moran, L.
Citation: Human Reproduction, 2017; 32(2):418-422
Publisher: Oxford University Press
Issue Date: 2017
ISSN: 0268-1161
1460-2350
Statement of
Responsibility: 
D.J. Handelsman, H.J. Teede, R. Desai, R.J. Norman, and L.J. Moran
Abstract: STUDY QUESTION: How well does multi-analyte steroid mass spectrometry (MS) profiling classify women with and without polycystic ovary syndrome (PCOS)? SUMMARY ANSWER: Our liquid chromatography MS (LC-MS) steroid profiling only minimally improves discrimination of women with and without PCOS compared with a direct testosterone immunoassay (T_IA) and the free androgen index (FAI). WHAT IS KNOWN ALREADY: Blood testosterone measured by direct (non-extraction) immunoassay overlaps between women with and without PCOS. Multi-analyte MS provides greater specificity and accuracy for steroid measurement so might improve the classification. STUDY DESIGN, SIZE, DURATION: An observational, cross-sectional study of women with PCOS (n = 152) defined by Rotterdam criteria and matched non-PCOS (n = 45) control women was conducted. PARTICIPANTS/MATERIALS, SETTING, METHODS: Serum steroid profiles of testosterone (T), dihydrotestosterone (DHT), dehydroepiandrosterone (DHEA), androstenedione (A4), estradiol (E2), estrone (E1), 17 hydroxy progesterone (17OHP4), progesterone (P4) and cortisol were measured by LC-MS; T_IA and sex hormone binding globulin were measured by immunoassay; and FAI, calculated free testosterone (cFT) and total androgen index (TAI) were calculated. Classification was based on logistic regression with corresponding univariate and multivariate C-statistics. MAIN RESULTS AND THE ROLE OF CHANCE: Serum testosterone by immunoassay demonstrated levels more than 100% higher than that measured by LC-MS. Compared with the controls, women with PCOS had higher serum T, DHEA, A4, TAI, T_IA, cFT, FAI and E2 but not serum DHT, E1, P4, 17OHP4 or cortisol. Univariate C-statistics were highest for FAI (0.89) and T_IA (0.82) compared with other androgens (T [0.72], DHT [0.40]), pro-androgens (A4 [0.74], DHEA[0.71]) or derivatives (cFT [0.75], TAI [0.60]). For all multivariate models, the overall correct predictions (81-86%) featured high sensitivity (92-96%) but low specificity (28-43%). and substituting LC-MS steroid measurements for T_IA and FAI produced only minimal improvements in classification. LIMITATIONS REASONS FOR CAUTION: The study cohort is limited in size and only unconjugated steroids were measured. WIDER IMPLICATIONS OF THE FINDINGS: Multi-analyte steroid profiling of unconjugated circulating steroids provides only limited improvement on direct T_IA in classifying women with and without PCOS.
Keywords: testosterone; androgens; polycystic ovary syndrome; mass spectrometry; immunoassay
Description: Corrected by: Erratum:Performance of mass spectrometry steroid profiling for diagnosis of polycystic ovary syndrome, in Vol. 32, Issue 7, 1540. There was an error in Table I. Advanced Access publication on December 20, 2016
Rights: © Crown copyright 2016.
RMID: 0030060090
DOI: 10.1093/humrep/dew328
Appears in Collections:Paediatrics publications

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