2021
SARS-CoV-2 Infection Hospitalization Rate and Infection Fatality Rate Among the Non-Congregate Population in Connecticut
Mahajan S, Caraballo C, Li SX, Dong Y, Chen L, Huston SK, Srinivasan R, Redlich CA, Ko AI, Faust JS, Forman HP, Krumholz HM. SARS-CoV-2 Infection Hospitalization Rate and Infection Fatality Rate Among the Non-Congregate Population in Connecticut. The American Journal Of Medicine 2021, 134: 812-816.e2. PMID: 33617808, PMCID: PMC7895685, DOI: 10.1016/j.amjmed.2021.01.020.Peer-Reviewed Original ResearchConceptsInfection hospitalization rateInfection fatality rateHospitalization ratesFatality rateSeroprevalence estimatesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodiesSARS-CoV-2 antibodiesConnecticut Hospital AssociationNon-Hispanic black peopleProportion of deathsCoronavirus disease 2019Total infected individualsTotal hospitalizationsAdverse outcomesNon-congregate settingsHigh burdenDisease 2019Prevalence studyMost subgroupsInfected individualsHospitalizationOlder peopleHospital AssociationConnecticut DepartmentDeath
2016
The Use of High-Risk Criteria in Screening Patients for Blunt Cerebrovascular Injury A Survey
Wu X, Malhotra A, Forman HP, Nunez D, Sanelli P. The Use of High-Risk Criteria in Screening Patients for Blunt Cerebrovascular Injury A Survey. Academic Radiology 2016, 24: 456-461. PMID: 27979639, DOI: 10.1016/j.acra.2016.11.010.Peer-Reviewed Original ResearchMeSH KeywordsAttitude of Health PersonnelCerebral AngiographyCerebrovascular TraumaComputed Tomography AngiographyDatabases, FactualDelayed DiagnosisEmergency Service, HospitalHumansMagnetic Resonance AngiographyMass ScreeningRadiologistsRisk AssessmentRisk FactorsSurveys and QuestionnairesUnited StatesWounds, NonpenetratingConceptsBlunt cerebrovascular injuryRisk factorsEmergency departmentCT angiographyDenver criteriaMR angiographyC1-C3 fracturesUtilization of imagingCerebrovascular injuryBlunt injuryBlunt traumaScreening ratesAngiographic studiesLarge academic institutionVascular injuryScreening patientsPatientsPreferred modalityRoutine useInjurySubsequent strokeAngiographyScreening criteriaPhysiciansRadiologists
2010
Renal Ultrasonography in the Evaluation of Acute Kidney Injury: Developing a Risk Stratification Framework
Licurse A, Kim MC, Dziura J, Forman HP, Formica RN, Makarov DV, Parikh CR, Gross CP. Renal Ultrasonography in the Evaluation of Acute Kidney Injury: Developing a Risk Stratification Framework. JAMA Internal Medicine 2010, 170: 1900-1907. PMID: 21098348, DOI: 10.1001/archinternmed.2010.419.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedCreatinineCross-Sectional StudiesDecision Support TechniquesFemaleHospitalizationHumansHydronephrosisKidneyLikelihood FunctionsMaleMiddle AgedMultivariate AnalysisPredictive Value of TestsRacial GroupsRecurrenceRetrospective StudiesRisk AssessmentRisk FactorsUltrasonographyUreteral ObstructionUrinary Tract InfectionsConceptsAcute kidney injuryKidney injuryAdult inpatientsIncidental findingPrerenal acute kidney injuryRecurrent urinary tract infectionsMultivariable logistic regression modelYale-New Haven HospitalHistory of hydronephrosisElevated creatinine levelRenal transplant recipientsCongestive heart failureUrinary tract infectionHigh-risk groupLow-risk groupCross-sectional studyLogistic regression modelsNephrotoxic medicationsTransplant recipientsClinical characteristicsCreatinine levelsNonblack raceRenal ultrasonographyTract infectionsHeart failureWhat We Can and Cannot See Coming
Lee CI, Forman HP. What We Can and Cannot See Coming. Radiology 2010, 257: 313-314. PMID: 20959544, DOI: 10.1148/radiol.10101437.Peer-Reviewed Original Research
2008
The Hidden Costs of CT Bioeffects
Lee CI, Forman HP. The Hidden Costs of CT Bioeffects. Journal Of The American College Of Radiology 2008, 5: 78-79. PMID: 18242519, DOI: 10.1016/j.jacr.2007.06.013.Peer-Reviewed Original Research