2023
Quantitative cardiovascular magnetic resonance findings and clinical risk factors predict cardiovascular outcomes in breast cancer patients
Kwan J, Arbune A, Henry M, Hu R, Wei W, Nguyen V, Lee S, Lopez-Mattei J, Guha A, Huber S, Bader A, Meadows J, Sinusas A, Mojibian H, Peters D, Lustberg M, Hull S, Baldassarre L. Quantitative cardiovascular magnetic resonance findings and clinical risk factors predict cardiovascular outcomes in breast cancer patients. PLOS ONE 2023, 18: e0286364. PMID: 37252927, PMCID: PMC10228774, DOI: 10.1371/journal.pone.0286364.Peer-Reviewed Original ResearchConceptsBreast cancer patientsSystolic heart failureCardiovascular outcomesCancer patientsHeart failureValvular diseaseStrain abnormalitiesLeft ventricular ejection fraction reductionCancer treatment-related cardiotoxicityCardiovascular magnetic resonance findingsVentricular ejection fraction reductionYale-New Haven HospitalEjection fraction reductionTreatment-related cardiotoxicityAdverse cardiovascular outcomesClinical risk factorsNormal LV functionGlobal longitudinal strainIschemic heart diseaseMagnetic resonance findingsRisk regression modelsNew Haven HospitalSubclinical cardiotoxicityDiastolic dysfunctionStatin use
2021
Relation of Cardiovascular Risk Factors to Mortality and Cardiovascular Events in Hospitalized Patients With Coronavirus Disease 2019 (from the Yale COVID-19 Cardiovascular Registry)
Pareek M, Singh A, Vadlamani L, Eder M, Pacor J, Park J, Ghazizadeh Z, Heard A, Cruz-Solbes AS, Nikooie R, Gier C, Ahmed ZV, Freeman JV, Meadows J, Smolderen KGE, Lampert R, Velazquez EJ, Ahmad T, Desai NR. Relation of Cardiovascular Risk Factors to Mortality and Cardiovascular Events in Hospitalized Patients With Coronavirus Disease 2019 (from the Yale COVID-19 Cardiovascular Registry). The American Journal Of Cardiology 2021, 146: 99-106. PMID: 33539857, PMCID: PMC7849530, DOI: 10.1016/j.amjcard.2021.01.029.Peer-Reviewed Original ResearchConceptsCardiovascular risk factorsCoronavirus disease 2019Risk factorsHigher troponin TCardiovascular diseaseCardiovascular eventsHospitalized patientsLaboratory findingsMental statusDisease 2019Multivariable binary logistic regression analysisTroponin TMajor adverse cardiovascular eventsPre-existing cardiovascular diseaseHigher C-reactive proteinCOVID-19 positive patientsPredictors of MACEPrevious ventricular arrhythmiaUse of P2YAdverse cardiovascular eventsProspective cohort studyTertiary care centerC-reactive proteinBinary logistic regression analysisPoor prognostic marker
2020
Cardiovascular Imaging of Biology and Emotion
Meadows JL, Shah S, Burg MM, Pfau S, Soufer R. Cardiovascular Imaging of Biology and Emotion. Circulation Cardiovascular Imaging 2020, 13: e011054. PMID: 32762255, PMCID: PMC9261020, DOI: 10.1161/circimaging.120.011054.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMental stressEpicardial coronary artery diseaseCoronary artery diseaseExercise-induced changesMicrovascular dysfunctionArtery diseaseObstructive diseaseClinical manifestationsVascular responsesCentral activationCardiovascular healthPathophysiologic changesCardiovascular responsesMyocardial ischemiaPeripheral vasculatureTreatment targetsVascular pathophysiologyPsychosocial determinantsCardiovascular imagingPsychosocial experiencesImplementation studyMS testingTriggers activationCardiovascular biologyDisease
2017
Relative predictive value of lung cancer screening CT versus myocardial perfusion attenuation correction CT in the evaluation of coronary calcium
Bailey G, Healy A, Young BD, Sharma E, Meadows J, Chun HJ, Wu WC, Choudhary G, Morrison AR. Relative predictive value of lung cancer screening CT versus myocardial perfusion attenuation correction CT in the evaluation of coronary calcium. PLOS ONE 2017, 12: e0175678. PMID: 28437443, PMCID: PMC5402939, DOI: 10.1371/journal.pone.0175678.Peer-Reviewed Original ResearchConceptsCoronary artery calcium scoreECG-gated cardiac CTCardiac CTMACE predictionLung cancerTotal coronary artery calcium scoreArtery calcium scoreCardiovascular risk assessmentSame patient populationPrediction of MACEAttenuation correction CTAgatston methodCalcium scoreCoronary calciumPatient populationRelative predictive valueElevated riskMajor vesselsPredictive valueCutoff valueVessel basisSecondary analysisSimilar AUCWeak correlationGold standard
2014
Confluence of Depression and Acute Psychological Stress Among Patients With Stable Coronary Heart Disease: Effects on Myocardial Perfusion
Burg MM, Meadows J, Shimbo D, Davidson KW, Schwartz JE, Soufer R. Confluence of Depression and Acute Psychological Stress Among Patients With Stable Coronary Heart Disease: Effects on Myocardial Perfusion. Journal Of The American Heart Association 2014, 3: e000898. PMID: 25359402, PMCID: PMC4338683, DOI: 10.1161/jaha.114.000898.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedChi-Square DistributionChronic DiseaseConnecticutCoronary CirculationCoronary DiseaseDepressionFemaleHemodynamicsHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisMyocardial Perfusion ImagingOdds RatioPredictive Value of TestsPsychiatric Status Rating ScalesRecurrenceRisk FactorsSeverity of Illness IndexStress, PsychologicalTomography, Emission-Computed, Single-PhotonConceptsAcute psychological stressMyocardial perfusionPsychological stressDepressed rangeNormal rangeAcute coronary syndrome (ACS) recurrenceSelective serotonin reuptake inhibitor medicationsStable coronary heart diseaseCoronary heart disease patientsSerotonin reuptake inhibitor medicationsImpaired myocardial perfusionTomography myocardial perfusionCoronary heart diseaseMortality risk factorsOptimal medical careHigh normal rangeReuptake inhibitor medicationsHeart disease patientsBeck Depression InventorySingle photon emissionACS recurrenceCHD prognosisInhibitor medicationVascular mechanismsMeasures of depression