Identification of five chronic obstructive pulmonary disease subgroups with different prognoses in the ECLIPSE cohort using cluster analysis.
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COPD and its comorbidities: Impact, measurement and mechanismsAzithromycin and risk of COPD exacerbations in patients with and without Helicobacter pylori.Obstructive Sleep Apnea: A Cluster Analysis at Time of Diagnosis.Chronic Obstructive Pulmonary Disease Subtypes. Transitions over Time.Distribution and Outcomes of a Phenotype-Based Approach to Guide COPD Management: Results from the CHAIN CohortCurrent concepts in targeting chronic obstructive pulmonary disease pharmacotherapy: making progress towards personalised management.Distinct symptom experiences in subgroups of patients with COPD.Symptom profiles and inflammatory markers in moderate to severe COPD.Increased circulating β2-adrenergic receptor autoantibodies are associated with smoking-related emphysema.Comorbidities and the risk of mortality in patients with bronchiectasis: an international multicentre cohort study.Subtyping Chronic Obstructive Pulmonary Disease Using Peripheral Blood Proteomics.Efficacy of inhaled medications in asthma and COPD related to disease severity.Should we treat obesity in COPD? The effects of diet and resistance exercise training.Comorbidities and Subgroups of Patients Surviving Severe Acute Hypercapnic Respiratory Failure in the Intensive Care Unit.This patient is not breathing properly: is this COPD, heart failure, or neither?Chronic obstructive pulmonary disease phenotypes using cluster analysis of electronic medical records.Identification and distribution of COPD phenotypes in clinical practice according to Spanish COPD Guidelines: the FENEPOC study.COPD Overlap Syndromes: Asthma and BeyondComparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients.COPD diagnosis: genome first.Phenotypic Clusters Predict Outcomes in a Longitudinal Interstitial Lung Disease Cohort.Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression.Paradigms in chronic obstructive pulmonary disease: phenotypes, immunobiology, and therapy with a focus on vascular disease.Identifying prognostic factors in chronic obstructive pulmonary disease patients.A cluster analysis of chronic obstructive pulmonary disease in dusty areas cohort identified three subgroups.Obesity and Metabolic Abnormalities in Chronic Obstructive Pulmonary Disease.Chronic obstructive pulmonary disease phenotypes. Past, present, and future.Phenotyping of Chronic Obstructive Pulmonary Disease Based on the Integration of Metabolomes and Clinical Characteristics.Surfactant Protein D in Respiratory and Non-Respiratory Diseases.The physical, mental, and social impact of COPD in a population-based sample: results from the Longitudinal Aging Study Amsterdam
P2860
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P2860
Identification of five chronic obstructive pulmonary disease subgroups with different prognoses in the ECLIPSE cohort using cluster analysis.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
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2015年論文
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2015年论文
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2015年论文
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name
Identification of five chronic ...... cohort using cluster analysis.
@en
type
label
Identification of five chronic ...... cohort using cluster analysis.
@en
prefLabel
Identification of five chronic ...... cohort using cluster analysis.
@en
P2093
P2860
P50
P1476
Identification of five chronic ...... cohort using cluster analysis.
@en
P2093
Alvar Agustí
Bartolomé Celli
Bruce E Miller
Courtney Crim
David A Lomas
Edwin K Silverman
Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints
Harvey Coxson
Ignacio Coca
Julie C Yates
P2860
P304
P356
10.1513/ANNALSATS.201403-125OC
P577
2015-03-01T00:00:00Z