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Identification and replication of prediction models for ovulation, pregnancy and live birth in infertile women with polycystic ovary syndrome.

作者信息

Kuang Hongying, Jin Susan, Hansen Karl R, Diamond Michael P, Coutifaris Christos, Casson Peter, Christman Gregory, Alvero Ruben, Huang Hao, Bates G Wright, Usadi Rebecca, Lucidi Scott, Baker Valerie, Santoro Nanette, Eisenberg Esther, Legro Richard S, Zhang Heping

机构信息

Department of Obstetrics and Gynecology, First Affiliated Hospital and Heilongjiang University of Chinese Medicine, Harbin 150040, PR China Department of Biostatistics, Yale University School of Public Health, New Haven, CT 06520, USA.

Department of Biostatistics, Yale University School of Public Health, New Haven, CT 06520, USA.

出版信息

Hum Reprod. 2015 Sep;30(9):2222-33. doi: 10.1093/humrep/dev182. Epub 2015 Jul 22.

Abstract

STUDY QUESTION

Can we build and validate predictive models for ovulation and pregnancy outcomes in infertile women with polycystic ovary syndrome (PCOS)?

SUMMARY ANSWER

We were able to develop and validate a predictive model for pregnancy outcomes in women with PCOS using simple clinical and biochemical criteria particularly duration of attempting conception, which was the most consistent predictor among all considered factors for pregnancy outcomes.

WHAT IS KNOWN ALREADY

Predictive models for ovulation and pregnancy outcomes in infertile women with polycystic ovary syndrome have been reported, but such models require validation.

STUDY DESIGN, SIZE, AND DURATION: This is a secondary analysis of the data from the Pregnancy in Polycystic Ovary Syndrome I and II (PPCOS-I and -II) trials. Both trials were double-blind, randomized clinical trials that included 626 and 750 infertile women with PCOS, respectively. PPCOS-I participants were randomized to either clomiphene citrate (CC), metformin, or their combination, and PPCOS-II participants to either letrozole or CC for up to five treatment cycles.

PARTICIPANTS/MATERIALS, SETTING, AND METHODS: Linear logistic regression models were fitted using treatment, BMI, and other published variables as predictors of ovulation, conception, clinical pregnancy, and live birth as the outcome one at a time. We first evaluated previously reported significant predictors, and then constructed new prediction models. Receiver operating characteristic (ROC) curves were constructed and the area under the curves (AUCs) was calculated to compare performance using different models and data. Chi-square tests were used to examine the goodness-of-fit and prediction power of logistic regression model.

MAIN RESULTS AND THE ROLE OF CHANCE

Predictive factors were similar between PPCOS-I and II, but the two participant samples differed statistically significantly but the differences were clinically minor on key baseline characteristics and hormone levels. Women in PPCOS-II had an overall more severe PCOS phenotype than women in PPCOS-I. The clinically minor but statistically significant differences may be due to the large sample sizes. Younger age, lower baseline free androgen index and insulin, shorter duration of attempting conception, and higher baseline sex hormone-binding globulin significantly predicted at least one pregnancy outcome. The ROC curves (with AUCs of 0.66-0.76) and calibration plots and chi-square tests indicated stable predictive power of the identified variables (P-values ≥0.07 for all goodness-of-fit and validation tests).

LIMITATIONS, REASONS FOR CAUTION: This is a secondary analysis. Although our primary objective was to confirm previously reported results and identify new predictors of ovulation and pregnancy outcomes among PPCOS-II participants, our approach is exploratory and warrants further replication.

WIDER IMPLICATIONS OF THE FINDINGS

We have largely confirmed the predictors that were identified in the PPCOS-I trial. However, we have also revealed new predictors, particularly the role of smoking. While a history of ever smoking was not a significant predictor for live birth, a closer look at current, quit, and never smoking revealed that current smoking was a significant risk factor.

STUDY FUNDING/COMPETING INTERESTS: The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Grants U10 HD27049, U10 HD38992, U10HD055925, U10 HD39005, U10 HD33172, U10 HD38998, U10 HD055936, U10 HD055942, and U10 HD055944; and U54-HD29834. Heilongjiang University of Chinese Medicine Grants 051277 and B201005. R.S.L. reports receiving consulting fees from Euroscreen, AstraZeneca, Clarus Therapeutics, and Takeda, and grant support from Ferring, Astra Zeneca, and Toba. K.R.H. reports receiving grant support from Roche Diagnostics and Ferring Pharmascience. G.C. reports receiving Honorarium and grant support from Abbvie Pharmaceuticals and Bayer Pharmaceuticals. M.P.D. holds equity from Advanced Reproductive Care Inc. and DS Biotech, receives fees from Advanced Reproductive Care Inc., Actamax, Auxogyn, ZSX Medical, Halt Medical, and Neomed, and receives grant support from Boehringer-Ingelheim, Abbott, and BioSante, Ferring Pharmaceuticals, and EMD Serono. H.Z. receives research support from the Chinese 1000-scholar plan. Others report no disclosures other than NIH grant support.

TRIAL REGISTRATION NUMBER

PPCOS-I and -II were respectively registered at Clinicaltrials.gov: NCT00719186 and NCT00719186.

摘要

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本文引用的文献

1
External validation and calibration of IVFpredict: a national prospective cohort study of 130,960 in vitro fertilisation cycles.
PLoS One. 2015 Apr 8;10(4):e0121357. doi: 10.1371/journal.pone.0121357. eCollection 2015.
2
Smoking in infertile women with polycystic ovary syndrome: baseline validation of self-report and effects on phenotype.
Hum Reprod. 2014 Dec;29(12):2680-6. doi: 10.1093/humrep/deu239. Epub 2014 Oct 16.
3
Letrozole versus clomiphene for infertility in the polycystic ovary syndrome.
N Engl J Med. 2014 Jul 10;371(2):119-29. doi: 10.1056/NEJMoa1313517.
4
Epidemiology, diagnosis, and management of polycystic ovary syndrome.
Clin Epidemiol. 2013 Dec 18;6:1-13. doi: 10.2147/CLEP.S37559.
5
The Pregnancy in Polycystic Ovary Syndrome II study: baseline characteristics and effects of obesity from a multicenter randomized clinical trial.
Fertil Steril. 2014 Jan;101(1):258-269.e8. doi: 10.1016/j.fertnstert.2013.08.056. Epub 2013 Oct 21.
8
Predictors of pregnancy in women with polycystic ovary syndrome.
J Clin Endocrinol Metab. 2009 Sep;94(9):3458-66. doi: 10.1210/jc.2009-0545. Epub 2009 Jun 9.
9
Body mass index and risk of miscarriage in women with recurrent miscarriage.
Fertil Steril. 2010 Jun;94(1):290-5. doi: 10.1016/j.fertnstert.2009.03.021. Epub 2009 May 12.
10
Prediction models in reproductive medicine: a critical appraisal.
Hum Reprod Update. 2009 Sep-Oct;15(5):537-52. doi: 10.1093/humupd/dmp013. Epub 2009 May 12.

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