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
2013
A Blood-Based Gene Expression Test for Obstructive Coronary Artery Disease Tested in Symptomatic Nondiabetic Patients Referred for Myocardial Perfusion Imaging The COMPASS Study
Thomas GS, Voros S, McPherson JA, Lansky AJ, Winn ME, Bateman TM, Elashoff MR, Lieu HD, Johnson AM, Daniels SE, Ladapo JA, Phelps CE, Douglas PS, Rosenberg S. A Blood-Based Gene Expression Test for Obstructive Coronary Artery Disease Tested in Symptomatic Nondiabetic Patients Referred for Myocardial Perfusion Imaging The COMPASS Study. Circulation Genomic And Precision Medicine 2013, 6: 154-162. PMID: 23418288, DOI: 10.1161/circgenetics.112.964015.Peer-Reviewed Original ResearchConceptsMyocardial perfusion imagingInvasive coronary angiographyGene expression scoreCoronary angiographyNegative predictive valueNondiabetic patientsSymptomatic patientsClinical factorsPredictive valuePrespecified primary end pointObstructive coronary artery diseaseAbnormal myocardial perfusion imagingBlood-based gene expression testAdverse cardiovascular eventsPrimary end pointCoronary artery diseaseReceiver-operating characteristic curvePeripheral blood samplesReceiver-operating characteristic analysisCoronary artery disease diagnosisMaximum percent stenosisGene expression testReceiver-operating characteristicCardiovascular eventsArtery disease
2012
Clinical validation of the new T‐ and Y‐Shape models for the quantitative analysis of coronary bifurcations: An interobserver variability study
Tuinenburg JC, Janssen JP, Kooistra R, Koning G, Corral MD, Lansky AJ, Reiber JH. Clinical validation of the new T‐ and Y‐Shape models for the quantitative analysis of coronary bifurcations: An interobserver variability study. Catheterization And Cardiovascular Interventions 2012, 81: e225-e236. PMID: 22707289, DOI: 10.1002/ccd.24510.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAutomationCoronary AngiographyCoronary StenosisCoronary VesselsHumansModels, CardiovascularObserver VariationPercutaneous Coronary InterventionPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsStentsTomography, X-Ray ComputedTreatment Outcome
2011
Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients
Elashoff MR, Wingrove JA, Beineke P, Daniels SE, Tingley WG, Rosenberg S, Voros S, Kraus WE, Ginsburg GS, Schwartz RS, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky AJ, Topol EJ. Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients. BMC Medical Genomics 2011, 4: 26. PMID: 21443790, PMCID: PMC3072303, DOI: 10.1186/1755-8794-4-26.Peer-Reviewed Original ResearchConceptsObstructive coronary artery diseaseCoronary artery diseaseNon-diabetic patientsDiabetic statusArtery diseaseRT-PCR analysisNon-invasive blood testStudy of patientsPeripheral blood cellsClassifier genesCell type-specific markersPREDICT cohortGene expressionClinical factorsInvasive angiographyBlood testsControl cohortRegistry casesCohort analysisPREDICT studyResultsMicroarray analysisDiagnostic utilityPopulation predictorsRT-PCR dataCAD association
2010
Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients.
Rosenberg S, Elashoff MR, Beineke P, Daniels SE, Wingrove JA, Tingley WG, Sager PT, Sehnert AJ, Yau M, Kraus WE, Newby LK, Schwartz RS, Voros S, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky A, Winn ME, Schork NJ, Topol EJ. Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients. Annals Of Internal Medicine 2010, 153: 425-34. PMID: 20921541, PMCID: PMC3786733, DOI: 10.7326/0003-4819-153-7-201010050-00005.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overAlgorithmsArea Under CurveChest PainCoronary AngiographyCoronary Artery DiseaseDiabetes MellitusFemaleGene ExpressionHumansMaleMiddle AgedProspective StudiesReverse Transcriptase Polymerase Chain ReactionRisk AssessmentROC CurveSensitivity and SpecificitySex FactorsYoung AdultConceptsObstructive coronary artery diseaseCoronary artery diseaseCoronary angiographyNondiabetic patientsQuantitative coronary angiographyArtery diseasePresence of CADClinical modelMore major coronary arteriesPeripheral blood gene expressionBlood-based gene expression testDiamond-Forrester methodMulticenter prospective trialMajor coronary arteriesChronic inflammatory disordersIndependent validation cohortReceiver-operating characteristic analysisBlood gene expressionReal-time polymerase chain reactionWhole blood testCardiac protein markersGene expression testNoninvasive imaging methodProspective trialRisk patients
2008
Quantitative angiographic methods for bifurcation lesions : A consensus statement from the European Bifurcation Group
Lansky A, Tuinenburg J, Costa M, Maeng M, Koning G, Popma J, Cristea E, Gavit L, Costa R, Rares A, Van Es G, Lefevre T, Reiber H, Louvard Y, Morice M. Quantitative angiographic methods for bifurcation lesions : A consensus statement from the European Bifurcation Group. Catheterization And Cardiovascular Interventions 2008, 73: 258-266. PMID: 19085918, DOI: 10.1002/ccd.21814.Peer-Reviewed Original Research
1999
Comparative analysis of early and late angiographic outcomes using two quantitative algorithms in the Balloon versus Optimal Atherectomy Trial (BOAT)
Lansky A, Popma J, Cutlip D, Ho K, Abizaid A, Saucedo J, Zhang Y, Senerchia C, Kuntz R, Leon M, Baim D, Investigators F. Comparative analysis of early and late angiographic outcomes using two quantitative algorithms in the Balloon versus Optimal Atherectomy Trial (BOAT). The American Journal Of Cardiology 1999, 83: 1611-1616. PMID: 10392863, DOI: 10.1016/s0002-9149(99)00166-6.Peer-Reviewed Original ResearchConceptsMinimal lumen diameterPercent diameter stenosisBaseline minimal lumen diameterDiameter stenosisReference diameterDirectional atherectomyBaseline measurementsBaseline reference diameterQuantitative angiographic analysisLate angiographic outcomeAngiographic findingsAngiographic outcomesRestenosis rateBalloon angioplastyAngiographic analysisTreatment benefitTreatment groupsAngiographic laboratoryLumen diameterStenosisIndependent observersLesion irregularityAtherectomyPatientsTrials