0000000000122785

AUTHOR

M. Peres

showing 2 related works from this author

The global cardiovascular risk transition: associations of four metabolic risk factors with national income, urbanization, and Western diet in 1980 a…

2013

Background— It is commonly assumed that cardiovascular disease risk factors are associated with affluence and Westernization. We investigated the associations of body mass index (BMI), fasting plasma glucose, systolic blood pressure, and serum total cholesterol with national income, Western diet, and, for BMI, urbanization in 1980 and 2008. Methods and Results— Country-level risk factor estimates for 199 countries between 1980 and 2008 were from a previous systematic analysis of population-based data. We analyzed the associations between risk factors and per capita national income, a measure of Western diet, and, for BMI, the percentage of the population living in urban areas. In 1980, the…

GerontologyAdultMaleRiskmedicine.medical_specialtySettore MED/09 - Medicina InternaMeasures of national income and outputPopulationHypercholesterolemiaOBESIDADEBlood PressureGlobal HealthBody Mass IndexAge DistributionRisk Factorscardiovascular diseasePhysiology (medical)Diabetes mellitus* risk factorsEpidemiologymedicineDiabetes MellitusHumansObesityRisk factorSex DistributioneducationDeveloping CountriesCholesteroloeducation.field_of_studyObesity; Cholesterolo; Blood Pressurebusiness.industryUrbanizationRisk; * risk factors; cardiovascular diseaseFeeding BehaviorMiddle Agedmedicine.diseaseObesityBlood pressureCholesterolSocioeconomic FactorsCardiovascular DiseasesHypertensionWestern WorldFemaleCardiology and Cardiovascular MedicinebusinessBody mass indexDemography
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Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Resear…

2021

Abstract Background Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients’ clinical phenotypes and analyse the differential clinical course. Methods We performed a hierarchical cluster analysis based on Ward’s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results A total of 9363 were available for this analysis. We identified three …

RegistrieResearch Reportmedicine.medical_specialtyMajor adverse outcomeCardiovascular risk factorsCluster analysisRisk FactorsInternal medicineClinical phenotypeAtrial FibrillationEpidemiologyHumansMedicineRegistriesCluster analysiAtrial fibrillation; Clinical management; Clinical phenotypes; Cluster analysis; Major adverse outcomes; Humans; Phenotype; Registries; Research Report; Risk Factors; Atrial FibrillationClinical managementbusiness.industryProportional hazards modelRisk FactorHazard ratioRAtrial fibrillationClinical phenotypesMajor adverse outcomesGeneral Medicinemedicine.diseaseAtrial fibrillationConfidence intervalPhenotypeCohortMedicineObservational studybusinessResearch ArticleHumanBMC Medicine
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