2021
Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction
Brush JE, Hajduk AM, Greene EJ, Dreyer RP, Krumholz HM, Chaudhry SI. Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction. The American Journal Of Medicine 2021, 135: 342-349. PMID: 34715061, PMCID: PMC8901454, DOI: 10.1016/j.amjmed.2021.09.022.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionSymptom combinationsOlder patientsAcute myocardial infarction subgroupsAcute myocardial infarction admissionsMyocardial infarction subgroupsPatients 75 yearsMyocardial infarction admissionsSILVER-AMI StudySymptom phenotypeClinical studiesIndividual patientsMore symptomsPatientsInfarctionDiagnostic possibilitiesSymptomsWomenPerson interviewsMenCommon phenotypeSex differencesCliniciansPhenotype
2020
Non-inferiority trials using a surrogate marker as the primary endpoint: An increasing phenotype in cardiovascular trials
Bikdeli B, Caraballo C, Welsh J, Ross JS, Kaul S, Stone GW, Krumholz HM. Non-inferiority trials using a surrogate marker as the primary endpoint: An increasing phenotype in cardiovascular trials. Clinical Trials 2020, 17: 723-728. PMID: 32838556, PMCID: PMC8088773, DOI: 10.1177/1740774520949157.Peer-Reviewed Original ResearchConceptsNon-inferiority trialPrimary endpointClinical outcome trialsNon-inferiority marginSurrogate markerNon-inferiority designCardiovascular trialsOutcome trialsClinical outcomesDefinitive clinical outcome trialsNon-inferiority criteriaStudy protocolSurrogate outcomesBACKGROUND/Median numberSurrogate endpointsPrimary analysisCardiovascular interventionsCardiovascular medicineTrialsEndpointClinical interpretationOutcomesMarkersInterventionUsing Latent Class Analysis to Identify Hidden Clinical Phenotypes
Mori M, Krumholz HM, Allore HG. Using Latent Class Analysis to Identify Hidden Clinical Phenotypes. JAMA 2020, 324: 700-701. PMID: 32808993, DOI: 10.1001/jama.2020.2278.Peer-Reviewed Educational MaterialsSex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction
Brush JE, Krumholz HM, Greene EJ, Dreyer RP. Sex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2020, 13: e005948. PMID: 32063049, PMCID: PMC7041412, DOI: 10.1161/circoutcomes.119.005948.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBiological Variation, IndividualFemaleHealth Status DisparitiesHumansInterviews as TopicMaleMiddle AgedMyocardial InfarctionPatient AdmissionPhenotypePredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSex FactorsSpainSymptom AssessmentUnited StatesYoung AdultConceptsAcute myocardial infarctionMyocardial infarctionMedical recordsYoung womenDiagnosis of AMIObservational cohort studyMedical record abstractionSymptom phenotypeDiagnostic processAnalysis of symptomsVIRGO StudyCohort studyRecord abstractionIndividual patientsClinician's abilityDiagnosis rateStandardized interviewPhenotype subgroupsSymptomsSimilar findingsYoung adultsWomenMenInfarctionPatients
2019
Hemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance
Mahajan S, Gu J, Lu Y, Khera R, Spatz ES, Zhang M, Sun N, Zheng X, Zhao H, Lu H, Ma ZJ, Krumholz HM. Hemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance. The American Journal Of Medicine 2019, 133: e127-e139. PMID: 31525336, DOI: 10.1016/j.amjmed.2019.08.042.Peer-Reviewed Original ResearchConceptsSystemic vascular resistance indexVascular resistance indexSystemic vascular resistanceCardiac indexBlood pressure categoriesResistance index ratioResistance indexVascular resistanceCardiac outputBlood pressureHemodynamic phenotypesPressure categoriesHigh systemic vascular resistance indexNormal systemic vascular resistance indexSystolic blood pressure 140Systolic blood pressure categoriesBlood pressure 140Health checkup centerNormal cardiac indexLow cardiac indexStroke volume indexHigher cardiac indexSystolic blood pressureBody mass indexSubtypes of hypertension
2018
Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease
Emdin CA, Khera AV, Chaffin M, Klarin D, Natarajan P, Aragam K, Haas M, Bick A, Zekavat SM, Nomura A, Ardissino D, Wilson JG, Schunkert H, McPherson R, Watkins H, Elosua R, Bown MJ, Samani NJ, Baber U, Erdmann J, Gupta N, Danesh J, Chasman D, Ridker P, Denny J, Bastarache L, Lichtman JH, D’Onofrio G, Mattera J, Spertus JA, Sheu W, Taylor KD, Psaty BM, Rich SS, Post W, Rotter JI, Chen YI, Krumholz H, Saleheen D, Gabriel S, Kathiresan S. Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease. Nature Communications 2018, 9: 1613. PMID: 29691411, PMCID: PMC5915445, DOI: 10.1038/s41467-018-03911-8.Peer-Reviewed Original ResearchConceptsPLOF variantsProtein-coding genetic variantsFunction variantsCoronary artery diseaseBody fat distributionType 2 diabetesEssential splice siteProtein functionEffector transcriptsUK Biobank participantsIdentifies variantsStop codonMetabolic traitsArtery diseaseSplice siteAllergic diseasesAssociation analysisCardiometabolic diseasesAdditional diseaseFat distributionGenetic variantsBiobank participantsDiseaseBiological effectsVariants
2015
The Variation in Recovery
Spatz ES, Curry LA, Masoudi FA, Zhou S, Strait KM, Gross CP, Curtis JP, Lansky AJ, Soares Barreto-Filho JA, Lampropulos JF, Bueno H, Chaudhry SI, D'Onofrio G, Safdar B, Dreyer RP, Murugiah K, Spertus JA, Krumholz HM. The Variation in Recovery. Circulation 2015, 132: 1710-1718. PMID: 26350057, PMCID: PMC4858327, DOI: 10.1161/circulationaha.115.016502.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAlgorithmsAortic DissectionClassificationCoronary DiseaseDiagnostic Techniques, CardiovascularFemaleHumansMaleMedical RecordsMiddle AgedMyocardial InfarctionMyocardiumOxygen ConsumptionPhenotypePlaque, AtheroscleroticProspective StudiesReproducibility of ResultsRisk FactorsSex FactorsTreatment OutcomeYoung AdultConceptsAcute myocardial infarctionCoronary artery diseaseArtery diseaseClinical phenotypeNonobstructive coronary artery diseaseYoung AMI Patients (VIRGO) studyObstructive coronary artery diseaseYoung womenType 2 acute myocardial infarctionBiological disease mechanismsSubset of patientsThird universal definitionUnique clinical phenotypeCulprit lesionClinical characteristicsMyocardial infarctionTherapeutic efficacyUniversal definitionStudy participantsPatientsSupply-demand mismatchYoung adultsDisease mechanismsPatient studiesCurrent classification schemes