Search results for "Secondary Care"

showing 8 items of 8 documents

EU-wide cross-sectional observational study of lipid-modifying therapy use in secondary and primary care: the DA VINCI study

2021

Abstract Aims To provide contemporary data on the implementation of European guideline recommendations for lipid-lowering therapies (LLTs) across different settings and populations and how this impacts low-density lipoprotein cholesterol (LDL-C) goal achievement. Methods and results An 18 country, cross-sectional, observational study of patients prescribed LLT for primary or secondary prevention in primary or secondary care across Europe. Between June 2017 and November 2018, data were collected at a single visit, including LLT in the preceding 12 months and most recent LDL-C. Primary outcome was the achievement of risk-based 2016 European Society of Cardiology (ESC)/European Atherosclerosis…

medicine.medical_specialtyRegistryStatinEpidemiologymedicine.drug_class030204 cardiovascular system & hematologyGuidelinesSecondary care03 medical and health sciences0302 clinical medicineEzetimibeRisk FactorsInternal medicinemedicineHumans030212 general & internal medicinePCSK9 InhibitorsDyslipidemiasSecondary preventionPrimary Health Carebusiness.industryAnticholesteremic AgentsStatinsCholesterol LDLGuidelineLipidsConfidence intervalCross-Sectional StudiesTreatment OutcomeCholesterolCardiovascular DiseasesObservational studyHydroxymethylglutaryl-CoA Reductase InhibitorsProprotein Convertase 9Cardiology and Cardiovascular MedicinebusinessBiomarkersmedicine.drugDA VINCI study
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2 years in the life of COPD patients: Evolution of GOLD 2011 classification in the 'real-life' DACCORD study

2016

Introduction Limited data are available on the progression of COPD categorised according to GOLD 2011. We analysed data from the ongoing, non-interventional, observational DACCORD study and compared baseline GOLD 2011 categorisation with that of 1 and 2-years after inclusion. Methods Patients with a diagnosis of COPD were recruited into DACCORD following either a change or initiation of maintenance medication. Baseline exacerbations data (collected over 6 months) were annualised for GOLD categorisation at baseline; COPD symptoms were evaluated using the COPD Assessment Test (CAT) at baseline as well as the 1 year and 2 year visit. Data on exacerbations were collected every 3 months up to 2 …

COPDPediatricsmedicine.medical_specialtyCopd patientsbusiness.industryMean agemedicine.diseaseLower riskSecondary caremedicineCopd assessment testObservational studybusinessProgressive disease6.1 Epidemiology
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“Real-life” inhaled corticosteroid withdrawal in COPD: a subgroup analysis of DACCORD

2017

Claus Vogelmeier,1 Heinrich Worth,2 Roland Buhl,3 Carl-Peter Criée,4 Nadine S Lossi,5 Claudia Mailänder,5 Peter Kardos6 1Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University Marburg, Member of the German Center for Lung Research (DZL), Marburg, 2Facharzt Forum Fürth, Fürth, 3Pulmonary Department, Mainz University Hospital, Mainz, 4Department of Sleep and Respiratory Medicine, Evangelical Hospital Göttingen-Weende, Bovenden, 5Clinical Research, Respiratory, Novartis Pharma GmbH, Nürnberg, 6Group Practice and Centre for Allergy, Respiratory and Sleep Medicine, Re…

COPDmedicine.medical_specialtyLungExacerbationmedicine.drug_classbusiness.industrySubgroup analysisGeneral MedicineInternational Journal of Chronic Obstructive Pulmonary Diseasemedicine.diseaserespiratory tract diseasesSecondary care03 medical and health sciences0302 clinical medicinemedicine.anatomical_structure030228 respiratory systemInternal medicinemedicineCorticosteroid030212 general & internal medicineProspective cohort studybusinessAsthmaInternational Journal of Chronic Obstructive Pulmonary Disease
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The dynamic interdependence in the demand of primary and emergency secondary care: A hidden Markov approach

2021

This paper develops an extension of the class of finite mixture models for longitudinal count data to the bivariate case by using a trivariate reduction technique and a hidden Markov chain approach. The model allows for disentangling unobservable time-varying heterogeneity from the dynamic effect of utilisation of primary and secondary care and measuring their potential substitution effect. Three points of supports adequately describe the distribution of the latent states suggesting the existence of three profiles of low, medium and high users who shows persistency in their behaviour, but not permanence as some switch to their neighbour's profile.

Economics and Econometrics050208 financeComputer science05 social sciencesExtension (predicate logic)Bivariate analysis01 natural sciencesUnobservablePrimary and Secondary Care Latent Markov ModelSecondary careReduction (complexity)010104 statistics & probability0502 economics and businessEconometricsSubstitution effect0101 mathematics050207 economicsHidden Markov modelSocial Sciences (miscellaneous)Count dataPanel dataJournal of Applied Econometrics
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COPD in elderly patients – an analysis of the DACCORD observational study

2018

Introduction: In elderly patients COPD is frequently complicated by the presence of several comorbidities and the many non-COPD-related medications prescribed to treat these conditions. This analysis aims to characterize COPD patients above the age of 75 in a real-world cohort in Germany. Methods: DACCORD is a prospective, non-interventional study collecting data from COPD patients treated in primary and secondary care. Prior to study entry, patients either initiated or changed COPD maintenance medication. Moderate/severe exacerbations, COPD-medication and non-COPD medication were documented at baseline and every 3 months. Comorbidities were documented at baseline. Results: Baseline charact…

PolypharmacyCOPDmedicine.medical_specialtyExacerbationbusiness.industrymedicine.medical_treatmentmedicine.diseaserespiratory tract diseasesSecondary careInternal medicineCohortMedicineSmoking cessationIn patientObservational studybusinessClinical Problems
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Lipid-lowering therapy use in primary and secondary care in Central and Eastern Europe: DA VINCI observational study.

2021

Abstract Background and aims Central and Eastern Europe (CEE) is a largely understudied region, despite having the highest cardiovascular disease mortality in Europe. This analysis aimed to assess the proportion of patients in CEE who achieved their LDL-C goals based on individual cardiovascular risk recommended by the 2016 and 2019 European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS) guidelines. Methods The DA VINCI study was a cross-sectional observational study of primary and secondary prevention patients receiving lipid-lowering therapy across Europe between June 2017 and November 2018. Results In total, 2154 patients were enrolled from the Czech Republic (n = 509…

COUNTRIESmedicine.medical_specialtyDyslipidaemiaAtherosclerosis; Cardiovascular; Dyslipidaemia; Low-density lipoprotein cholesterolCardiac & Cardiovascular SystemsIMPACTDYSLIPIDEMIACardiovascularGUIDELINESLipid-lowering therapySecondary CareSecondary careRisk FactorsCARDIOVASCULAR RISK-FACTORSMANAGEMENTMedicineHumansLow-density lipoprotein cholesterolCORONARY-HEART-DISEASE1102 Cardiorespiratory Medicine and HaematologyDyslipidemiasSecondary preventionLipid managementScience & Technologybusiness.industryDisease mortality1103 Clinical SciencesAtherosclerosisPREVENTIONLipidsPREVALENCEClinical PracticeEuropeCross-Sectional StudiesTreatment OutcomePeripheral Vascular DiseaseCardiovascular System & HematologyCardiovascular DiseasesFamily medicineEuropean atherosclerosis societyCardiovascular System & CardiologyObservational studyPolandHydroxymethylglutaryl-CoA Reductase InhibitorsCardiology and Cardiovascular MedicinebusinessLife Sciences & BiomedicineAtherosclerosis
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A year in the life of German patients with COPD: the DACCORD observational study

2016

Roland Buhl,1 Carl-Peter Criée,2 Peter Kardos,3 Claus Vogelmeier,4,5 Nadine Lossi,6 Claudia Mailänder,6 Heinrich Worth7 1Pulmonary Department, Mainz University Hospital, Mainz, 2Department of Sleep and Respiratory Medicine, Evangelical Hospital Göttingen-Weende, Bovenden, 3Group Practice and Centre for Allergy, Respiratory and Sleep Medicine, Red Cross Maingau Hospital, Frankfurt am Main, 4Department of Medicine, Pulmonary, and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University Marburg, 5German Center for Lung Research, Marburg, 6Clinical Research Primary Care, Novartis Pharma GmbH, Nürnberg, 7Facharztforum F&…

Malemedicine.medical_specialtyPediatricsTime FactorsPulmonary diseaseDiseaseInternational Journal of Chronic Obstructive Pulmonary DiseaseSeverity of Illness IndexSecondary CareSecondary careGerman03 medical and health sciencesPulmonary Disease Chronic Obstructive0302 clinical medicineAmbulatory careRisk FactorsForced Expiratory VolumeGermanyEpidemiologymedicineCOPDHumans030212 general & internal medicineLongitudinal StudiesProspective StudiesLungOriginal ResearchAgedCOPDPrimary Health Carebusiness.industryGeneral MedicineMiddle Agedmedicine.diseaselanguage.human_languageBronchodilator AgentsTreatment Outcome030228 respiratory systemCOPD exacerbationsSpirometryEmergency medicinelanguageDisease ProgressionObservational studyepidemiologybusinessInternational Journal of Chronic Obstructive Pulmonary Disease
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Diagnostic algorithm for familial chylomicronemia syndrome

2016

International audience; Background: Familial chylomicronemia syndrome (FCS) is a rare genetic disease that leads to severe hypertriglyceridemia often associated with recurrent episodes of pancreatitis. The recognition and correct diagnosis of the disease is challenging due to its rarity, and to the lack of specificity of signs and symptoms. Lipid experts, endocrinologists, gastroenterologists, pancreatologists, and general practitioners may encounter patients who potentially have FCS. Therefore, cooperation between experts and improved knowledge of FCS is essential in improving the diagnosis. Currently, a consensus on best practice for the diagnosis of FCS is lacking. Methods: Aiming to def…

Chylomicrons; Familial chylomicronemia syndrome; Hyperlipoproteinemia; Lipoprotein lipase deficiency; Pancreatitis; Biomarkers; Genetic Markers; Genetic Predisposition to Disease; Humans; Hyperlipoproteinemia Type I; Lipids; Lipoprotein Lipase; Phenotype; Practice Guidelines as Topic; Predictive Value of Tests; Prognosis; Algorithms; Critical Pathways; DNA Mutational Analysis; Decision Support Techniques; Mutation; Internal Medicine; Cardiology and Cardiovascular MedicineSettore MED/09 - Medicina InternaACUTE-PANCREATITIS[SDV]Life Sciences [q-bio]DNA Mutational AnalysisPredictive Value of TestDisease030204 cardiovascular system & hematologyVARIANTSDecision Support Technique0302 clinical medicineDOMAINGenetic MarkerBINDINGChylomicronsHYPERTRIGLYCERIDEMICMedicine030212 general & internal medicinePANCREATITISLipoprotein lipase deficiencyGeneral MedicineFamilial ChylomicronemiaLipidPrognosisLipids3. Good healthAlgorithmDEFICIENCYPhenotypeCritical PathwayPractice Guidelines as TopicCritical PathwaysHyperlipoproteinemia Type Ilipids (amino acids peptides and proteins)Cardiology and Cardiovascular MedicineAlgorithmAlgorithmsHumanGenetic MarkersSevere hypertriglyceridemiaFamilial chylomicronemia syndromePrognosiSigns and symptomsLIPOPROTEIN-LIPASEHyperlipoproteinemiaCLASSIFICATIONDecision Support TechniquesSecondary careChylomicronDNA Mutational Analysi03 medical and health sciencesPredictive Value of TestsInternal MedicineMANAGEMENTHumansGenetic Predisposition to DiseasePancreatitibusiness.industryBiomarkerLipoprotein LipaseMutationbusinessBiomarkers
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