2011
Investigation of 95 variants identified in a genome-wide study for association with mortality after acute coronary syndrome
Morgan TM, House JA, Cresci S, Jones P, Allayee H, Hazen SL, Patel Y, Patel RS, Eapen DJ, Waddy SP, Quyyumi AA, Kleber ME, März W, Winkelmann BR, Boehm BO, Krumholz HM, Spertus JA. Investigation of 95 variants identified in a genome-wide study for association with mortality after acute coronary syndrome. BMC Medical Genomics 2011, 12: 127. PMID: 21957892, PMCID: PMC3190329, DOI: 10.1186/1471-2350-12-127.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedAged, 80 and overAminohydrolasesCohort StudiesFemaleFormate-Tetrahydrofolate LigaseGenetic VariationGenome-Wide Association StudyGenotypeHumansKaplan-Meier EstimateMaleMethylenetetrahydrofolate Dehydrogenase (NADP)Middle AgedMultienzyme ComplexesMyocardial InfarctionPolymorphism, Single NucleotideProportional Hazards ModelsRisk FactorsWhite PeopleConceptsAcute coronary syndromeCoronary syndromeCoronary artery disease patientsKaplan-Meier survival analysisACS risk factorsCoronary artery diseaseUniversity-affiliated hospitalMyocardial infarction patientsPremature myocardial infarctionRace-adjusted analysesACS mortalityArtery diseaseCox regressionBorderline significanceDisease patientsInfarction patientsMyocardial infarctionRisk factorsMortality hazardIndependent cohortSurvival analysisDiverse cohortPatientsRelevant covariatesBackgroundGenome-wide association studies
2008
Investigation of 89 candidate gene variants for effects on all-cause mortality following acute coronary syndrome
Morgan TM, Xiao L, Lyons P, Kassebaum B, Krumholz HM, Spertus JA. Investigation of 89 candidate gene variants for effects on all-cause mortality following acute coronary syndrome. BMC Medical Genomics 2008, 9: 66. PMID: 18620593, PMCID: PMC2483267, DOI: 10.1186/1471-2350-9-66.Peer-Reviewed Original ResearchConceptsAcute coronary syndromeRisk factorsACS mortalityCoronary syndromeTraditional cardiac risk factorsKaplan-Meier survival analysisMultivariate risk prediction modelCardiac risk factorsPutative genetic risk factorsGene variantsUniversity-affiliated hospitalBorderline statistical significanceGenetic risk factorsSystematic literature searchRisk prediction modelGenetic variantsCandidate gene variantsACS survivorsCause mortalityACS casesCox regressionPatient cohortClinical prognosisPotential confoundingSurvival analysis
2007
Identifying Heart Failure Patients at High Risk for Near-Term Cardiovascular Events With Serial Health Status Assessments
Kosiborod M, Soto GE, Jones PG, Krumholz HM, Weintraub WS, Deedwania P, Spertus JA. Identifying Heart Failure Patients at High Risk for Near-Term Cardiovascular Events With Serial Health Status Assessments. Circulation 2007, 115: 1975-1981. PMID: 17420346, DOI: 10.1161/circulationaha.106.670901.Peer-Reviewed Original ResearchConceptsKansas City Cardiomyopathy QuestionnaireHeart failure outpatientsHealth status assessmentCause mortalityCardiovascular mortalityKaplan-Meier survival analysisHigh-risk patientsHeart failure patientsAcute myocardial infarctionProportional hazards modelIntensity of treatmentStatus assessmentKCCQ scoresCardiovascular deathCardiovascular eventsClinical deteriorationMultivariable adjustmentFailure patientsHeart failureOutpatient visitsMyocardial infarctionHigh riskHospitalizationPatientsCombined outcome