0000000001091990

AUTHOR

William Keen

showing 2 related works from this author

Effects of alirocumab on types of myocardial infarction : insights from the ODYSSEY OUTCOMES trial

2019

Gislason, Gunnar H/0000-0002-0548-402X; Malynovsky, Yaroslav V/0000-0002-9118-1104; Bhatt, Deepak L./0000-0002-1278-6245; Nikolaev, Konstantin/0000-0003-4601-6203; Sherwood, Matthew/0000-0002-4305-5883; Chumakova, Galina A/0000-0002-2810-6531; Raffel, Owen C/0000-0001-5470-7050; Leonardi, Sergio/0000-0002-4800-6132; Tse, Hung Fat/0000-0002-9578-7808; Reshetko, Olga/0000-0003-3107-7636; Pereira, Helder/0000-0001-8656-4883; Racca, Vittorio/0000-0002-4465-3789; Podoleanu, Cristian/0000-0001-9987-2519; Ersanli, Murat/0000-0003-1847-3087; Muenzel, Thomas/0000-0001-5503-4150; Sandhu, Manjinder/0000-0003-2538-2079; Taskinen, Marja-Riitta/0000-0002-6229-3588; bastos, jose/0000-0002-9526-3123; Manak…

MaleBIOMEDICINE AND HEALTHCARE. Clinical Medical Sciences.Cardiac & Cardiovascular SystemsMyocardial InfarctionUNIVERSAL DEFINITION030204 cardiovascular system & hematologyTHERAPYDISEASEchemistry.chemical_compound0302 clinical medicineCardiac and Cardiovascular Systems030212 general & internal medicineMyocardial infarctionProspective Studies1102 Cardiorespiratory Medicine and HaematologyOxygen supplyKardiologiBIOMEDICINA I ZDRAVSTVO. Kliničke medicinske znanosti.CHOLESTEROLMiddle AgedMI typesCardiologyLDL Cholesterol LipoproteinsFemaleCardiology and Cardiovascular MedicineLife Sciences & Biomedicinemedicine.medical_specialty610ODYSSEY OUTCOMES InvestigatorsAntibodies Monoclonal HumanizedCLASSIFICATION03 medical and health sciencesDouble-Blind MethodInternal medicinemedicineHumansddc:610Alirocumab ; MI types ; Mortality ; PreventionMortalityMETAANALYSISAlirocumabAgedScience & TechnologyTask forceCholesterolbusiness.industryEVOLOCUMABPrevention1103 Clinical SciencesCholesterol LDLmedicine.diseaseEvolocumabchemistryCardiovascular System & HematologyCardiovascular System & CardiologyHuman medicinebusinessAlirocumab
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Estimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-leve…

2019

Background The precise age distribution and calculated stroke risk of screen-detected atrial fibrillation (AF) is not known. Therefore, it is not possible to determine the number needed to screen (NNS) to identify one treatable new AF case (NNS-Rx) (i.e., Class-1 oral anticoagulation [OAC] treatment recommendation) in each age stratum. If the NNS-Rx is known for each age stratum, precise cost-effectiveness and sensitivity simulations can be performed based on the age distribution of the population/region to be screened. Such calculations are required by national authorities and organisations responsible for health system budgets to determine the best age cutoffs for screening programs and d…

MaleHealth ScreeningEconomicsSocial Sciences030204 cardiovascular system & hematologyVascular MedicineScreening programmeElectrocardiography0302 clinical medicineRisk FactorsHealth careAtrial FibrillationMedicine and Health SciencesMass ScreeningPublic and Occupational Health030212 general & internal medicinemedia_commonAged 80 and overRAge FactorsGeneral MedicineMiddle AgedUniversity hospitalPrognosis3. Good healthStrokeBioassays and Physiological AnalysisNeurologyHealthMedicineFemaleTraining programArrhythmiaResearch ArticleAdultCerebrovascular DiseasesCost-Effectiveness AnalysisCardiologyLibrary scienceResearch and Analysis MethodsRisk AssessmentStroke risk03 medical and health sciencesYoung AdultAge DistributionSex FactorsPopulation MetricsPredictive Value of TestsPolitical sciencemedia_common.cataloged_instanceHumansEarly careerEuropean unionIschemic StrokeAgedHealth Care PolicyPopulation Biologybusiness.industryElectrophysiological TechniquesBiology and Life SciencesNumber needed to screenEconomic AnalysisHealth CareAge GroupsPeople and PlaceseHealthPopulation GroupingsCardiac ElectrophysiologybusinessScreening Guidelines
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