2020
Identifying cardiovascular severe maternal morbidity in epidemiologic studies
Malhamé I, Mehta N, Raker C, Hardy E, Spalding H, Bouvier B, Savitz D, Danilack V. Identifying cardiovascular severe maternal morbidity in epidemiologic studies. Paediatric And Perinatal Epidemiology 2020, 34: 452-459. PMID: 31971615, DOI: 10.1111/ppe.12571.Peer-Reviewed Original ResearchMeSH KeywordsAdultDelivery, ObstetricElectric CountershockEpidemiologic StudiesFemaleHeart ArrestHospitalizationHumansInternational Classification of DiseasesMaternal MortalityOutcome Assessment, Health CarePre-EclampsiaPregnancyPregnancy Complications, CardiovascularPregnancy, High-RiskSensitivity and SpecificitySeverity of Illness IndexConceptsSevere maternal morbidityMaternal morbiditySevere preeclampsiaEpidemiologic studiesICD codesDelivery hospitalisationPredictive valueObstetric teaching hospitalAcute myocardial infarctionNegative predictive valuePositive predictive valueRandom sampleComposite variableCardiac arrestMaternal mortalityMyocardial infarctionTeaching hospitalAdministrative data setsHigh riskHospitalisationPreeclampsiaDisease controlMorbidityExpert cliniciansStandardised tools
2018
Risk factors for maltreatment-related infant hospitalizations in New York City, 1995–2004
Mason S, Schnitzer P, Danilack V, Elston B, Savitz D. Risk factors for maltreatment-related infant hospitalizations in New York City, 1995–2004. Annals Of Epidemiology 2018, 28: 590-596. PMID: 30153909, PMCID: PMC6117827, DOI: 10.1016/j.annepidem.2018.05.010.Peer-Reviewed Original ResearchConceptsRisk factorsInfant hospitalizationSociodemographic factorsNeonatal intensive care unitMajor public health problemProbable maltreatmentPopulation-based surveillanceIntensive care unitHospital discharge dataInjury diagnosis codesImportant risk factorModified Poisson regressionPublic health problemPreterm birthCare unitNew York City residentsBirth characteristicsDiagnosis codesMaternal ageInfant admissionFemale infantHospital birthsInfant injuriesDischarge dataHealth problems
2014
An Index of Daily Step Count and Systemic Inflammation Predicts Clinical Outcomes in Chronic Obstructive Pulmonary Disease
Moy M, Teylan M, Danilack V, Gagnon D, Garshick E. An Index of Daily Step Count and Systemic Inflammation Predicts Clinical Outcomes in Chronic Obstructive Pulmonary Disease. Annals Of The American Thoracic Society 2014, 11: 140214070342007. PMID: 24308588, DOI: 10.1513/annalsats.201307-243oc.Peer-Reviewed Original ResearchConceptsChronic obstructive pulmonary diseaseC-reactive proteinDaily step countAcute exacerbationObstructive pulmonary diseaseSystemic inflammationStep countPulmonary diseaseIL-6Physical activityPg/Predictors of AEPlasma C-reactive proteinMedian daily step countCOPD-related hospitalizationObservational cohort studyIL-6 levelsStepWatch Activity MonitorPrednisone useCohort studyClinical outcomesHospitalizationSeparate cohortClose monitoringIdentification of persons