Large-Scale Proteomics in Early Pregnancy and Hypertensive Disorders of Pregnancy
Greenland P, Segal M, McNeil R, Parker C, Pemberton V, Grobman W, Silver R, Simhan H, Saade G, Ganz P, Mehta P, Catov J, Merz C, Varagic J, Khan S, Parry S, Reddy U, Mercer B, Wapner R, Haas D. Large-Scale Proteomics in Early Pregnancy and Hypertensive Disorders of Pregnancy. JAMA Cardiology 2024, 9 PMID: 38958943, PMCID: PMC11223045, DOI: 10.1001/jamacardio.2024.1621.Peer-Reviewed Original ResearchArea under the receiver operating characteristic curveCase-control studyHypertensive disordersEarly pregnancyClinical dataSmall-for-gestational-age infantsPrediction of hypertensive disordersSmall-for-gestational-ageHypertensive disorders of pregnancyPrediction of HDPDisorders of pregnancyNested case-control studyPlasma samplesMulticenter observational studyStored plasma samplesReceiver operating characteristic curveBody mass indexGestational hypertensionNon-Hispanic blacksPreterm birthFetal sexFirst-trimesterNon-Hispanic whitesPregnancy outcomesMaternal racePrediction of metabolic syndrome following a first pregnancy
Kawakita T, Greenland P, Pemberton V, Grobman W, Silver R, Bairey Merz C, McNeil R, Haas D, Reddy U, Simhan H, Saade G. Prediction of metabolic syndrome following a first pregnancy. American Journal Of Obstetrics And Gynecology 2024 PMID: 38527600, DOI: 10.1016/j.ajog.2024.03.031.Peer-Reviewed Original ResearchDevelopment of metabolic syndromeArea under the receiver operating characteristic curveMetabolic syndromeNational Cholesterol Education Program Adult Treatment Panel III criteriaAdult Treatment Panel III criteriaPrevalence of metabolic syndromePrediction of metabolic syndromeProspective cohort studyIn-personSecondary analysisCohort studyIII criteriaInclusion criteriaPregnant individualsPrimary outcomeReceiver operating characteristic curveVisit 2Regression modelsPregnancySyndromeDeliveryUnited StatesCharacteristic curveLASSO regression modelYears