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Performance of mass spectrometry steroid profiling for diagnosis of polycystic ovary syndrome.
- Source :
-
Human reproduction (Oxford, England) [Hum Reprod] 2017 Feb; Vol. 32 (2), pp. 418-422. Date of Electronic Publication: 2016 Dec 19. - Publication Year :
- 2017
-
Abstract
- Study Question: How well does multi-analyte steroid mass spectrometry (MS) profiling classify women with and without polycystic ovary syndrome (PCOS)?<br />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&#95;IA) and the free androgen index (FAI).<br />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.<br />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.<br />Participants/materials, Setting, Methods: Serum steroid profiles of testosterone (T), dihydrotestosterone (DHT), dehydroepiandrosterone (DHEA), androstenedione (A <subscript>4</subscript> ), estradiol (E <subscript>2</subscript> ), estrone (E <subscript>1</subscript> ), 17 hydroxy progesterone (17OHP <subscript>4</subscript> ), progesterone (P <subscript>4</subscript> ) and cortisol were measured by LC-MS; T&#95;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.<br />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, A <subscript>4</subscript> , TAI, T&#95;IA, cFT, FAI and E <subscript>2</subscript> but not serum DHT, E <subscript>1</subscript> , P <subscript>4</subscript> , 17OHP <subscript>4</subscript> or cortisol. Univariate C-statistics were highest for FAI (0.89) and T&#95;IA (0.82) compared with other androgens (T [0.72], DHT [0.40]), pro-androgens (A <subscript>4</subscript> [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&#95;IA and FAI produced only minimal improvements in classification.<br />Limitations Reasons for Caution: The study cohort is limited in size and only unconjugated steroids were measured.<br />Wider Implications of the Findings: Multi-analyte steroid profiling of unconjugated circulating steroids provides only limited improvement on direct T&#95;IA in classifying women with and without PCOS.<br />Study Funding/competing Interests: None.<br />Trial Registration Number: N/A.<br /> (© Crown copyright 2016.)
Details
- Language :
- English
- ISSN :
- 1460-2350
- Volume :
- 32
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Human reproduction (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 27999117
- Full Text :
- https://doi.org/10.1093/humrep/dew328