2022
A personalized medicine approach to ovulation induction/ovarian stimulation: development of a predictive model and online calculator from level-I evidence
Souter I, Sun F, Zhang H, Diamond MP, Legro RS, Wild RA, Hansen KR, Santoro N, Network F. A personalized medicine approach to ovulation induction/ovarian stimulation: development of a predictive model and online calculator from level-I evidence. Fertility And Sterility 2022, 117: 408-418. PMID: 35125179, PMCID: PMC8985501, DOI: 10.1016/j.fertnstert.2021.10.024.Peer-Reviewed Original ResearchMeSH KeywordsAdultBody Mass IndexClinical Decision-MakingCoitusDecision Support TechniquesFemaleFertilityFertility Agents, FemaleHumansInfertility, FemaleInsemination, ArtificialMaleMaternal AgeOvulation InductionPolycystic Ovary SyndromePrecision MedicinePregnancyPregnancy RateRandomized Controlled Trials as TopicRisk AssessmentRisk FactorsTreatment OutcomeConceptsCumulative pregnancy rateAntimüllerian hormone levelsBody mass indexMultiple pregnanciesPregnancy rateClinical pregnancyOvulation inductionOvarian responseMedication doseMass indexHormone levelsLower body mass indexPregnancy rate/cyclePartner ageHigh antral follicle countLower medication doseMultiple Intrauterine GestationsMultiple pregnancy rateAntral follicle countPolycystic ovary syndromeCharacteristic curveMultivariable regression modelsPersonalized medicine approachGonadotropin useIndividualized chance
2019
Associations Between Anti-Mullerian Hormone and Cardiometabolic Health in Reproductive Age Women Are Explained by Body Mass Index
Rios JS, Greenwood EA, Pavone MEG, Cedars MI, Legro RS, Diamond MP, Santoro N, Sun F, Robinson RD, Christman G, Zhang H, Huddleston HG. Associations Between Anti-Mullerian Hormone and Cardiometabolic Health in Reproductive Age Women Are Explained by Body Mass Index. The Journal Of Clinical Endocrinology & Metabolism 2019, 105: dgz012. PMID: 31586179, PMCID: PMC7024739, DOI: 10.1210/clinem/dgz012.Peer-Reviewed Original ResearchConceptsHomeostasis model assessment-insulin resistancePolycystic ovary syndromeAnti-Mullerian hormoneBody mass indexC-reactive proteinUnexplained infertilityWaist circumferenceOVA groupLipoprotein cholesterolMass indexRelationship of AMHModel assessment-insulin resistanceHigh-density lipoprotein cholesterolLow-density lipoprotein cholesterolSite-adjusted modelsAssessment-insulin resistanceAntral follicle countCardio-metabolic healthReproductive-aged womenMultivariable linear regression modelsReproductive-age womenClinical populationsLow-density lipoproteinCardiometabolic agingCardiometabolic indicesLower antimüllerian hormone is associated with lower oocyte yield but not live-birth rate among women with obesity
Vitek W, Sun F, Baker VL, Styer AK, Christianson MS, Stern JE, Zhang H, Polotsky AJ. Lower antimüllerian hormone is associated with lower oocyte yield but not live-birth rate among women with obesity. American Journal Of Obstetrics And Gynecology 2019, 222: 363.e1-363.e7. PMID: 31589862, PMCID: PMC8022853, DOI: 10.1016/j.ajog.2019.09.046.Peer-Reviewed Original ResearchConceptsNormal body mass indexAntimüllerian hormone levelsLower antimüllerian hormoneBody mass indexLower oocyte yieldLive birth rateAntimüllerian hormoneLow ovarian reserveOocyte yieldMass indexHormone levelsOvarian reserveBody mass index 18.5Low antimüllerian hormone levelsAssisted Reproductive Technology Clinic Outcome Reporting System databaseLower live birth ratesClass 3 obesitySerum antimüllerian hormoneClass 1 obesityClass 2 obesityNumber of oocytesSmall antral folliclesReporting System databaseNormal BMIRetrospective cohort
2017
Racial and ethnic differences in the polycystic ovary syndrome metabolic phenotype
Engmann L, Jin S, Sun F, Legro RS, Polotsky AJ, Hansen KR, Coutifaris C, Diamond MP, Eisenberg E, Zhang H, Santoro N, Network R, Bartlebaugh C, Dodson W, Estes S, Gnatuk C, Ober J, Brzyski R, Easton C, Hernandez A, Leija M, Pierce D, Robinson R, Awonuga A, Cedo L, Cline A, Collins K, Krawetz S, Puscheck E, Singh M, Yoscovits M, Barnhart K, Lecks K, Martino L, Marunich R, Snyder P, Alvero R, Comfort A, Crow M, Schlaff W, Casson P, Hohmann A, Mallette S, Christman G, Ohl D, Ringbloom M, Tang J, Bates G, Mason S, DiMaria N, Usadi R, Lucidi R, Rhea M, Baker V, Turner K, Trussell J, DelBasso D, Huang H, Li Y, Makuch R, Patrizio P, Sakai L, Scahill L, Taylor H, Thomas T, Tsang S, Yan Q, Zhang M, Haisenleder D, Lamar C, DePaolo L, Guzick D, Herring A, Redmond J, Thomas M, Turek P, Wactawski-Wende J, Rebar R, Cato P, Dukic V, Lewis V, Schlegel P, Witter F. Racial and ethnic differences in the polycystic ovary syndrome metabolic phenotype. American Journal Of Obstetrics And Gynecology 2017, 216: 493.e1-493.e13. PMID: 28104402, PMCID: PMC5420474, DOI: 10.1016/j.ajog.2017.01.003.Peer-Reviewed Original ResearchConceptsPolycystic ovarian syndromeNon-Hispanic black womenNon-Hispanic whitesOvarian syndromeMetabolic syndromeNon-Hispanic blacksHispanic womenInsulin resistanceCardiovascular diseaseHigh prevalenceEthnic differencesType 2 diabetes mellitusLower serum triglyceride levelsNon-Hispanic white womenLower sex hormonePrevalence of hypertriglyceridemiaFree androgen indexHomeostasis model assessmentPolycystic ovary syndromeBody mass indexMetabolic phenotypeSerum triglyceride levelsType 2 diabetesBlack womenAndrogen index