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Comorbidities and COPD severity in a clinic-based cohort

Overview of attention for article published in BMC Pulmonary Medicine, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 news outlet
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Citations

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51 Dimensions

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Title
Comorbidities and COPD severity in a clinic-based cohort
Published in
BMC Pulmonary Medicine, July 2018
DOI 10.1186/s12890-018-0684-7
Pubmed ID
Authors

Chantal Raherison, El-Hassane Ouaalaya, Alain Bernady, Julien Casteigt, Cecilia Nocent-Eijnani, Laurent Falque, Frédéric Le Guillou, Laurent Nguyen, Annaig Ozier, Mathieu Molimard

Abstract

Chronic obstructive pulmonary disease (COPD) is an important cause of morbidity and mortality around the world. The aim of our study was to determine the association between specific comorbidities and COPD severity. Pulmonologists included patients with COPD using a web-site questionnaire. Diagnosis of COPD was made using spirometry post-bronchodilator FEV1/FVC < 70%. The questionnaire included the following domains: demographic criteria, clinical symptoms, functional tests, comorbidities and therapeutic management. COPD severity was classified according to GOLD 2011. First we performed a principal component analysis and a non-hierarchical cluster analysis to describe the cluster of comorbidities. One thousand, five hundred and eighty-four patients were included in the cohort during the first 2 years. The distribution of COPD severity was: 27.4% in group A, 24.7% in group B, 11.2% in group C, and 36.6% in group D. The mean age was 66.5 (sd: 11), with 35% of women. Management of COPD differed according to the comorbidities, with the same level of severity. Only 28.4% of patients had no comorbidities associated with COPD. The proportion of patients with two comorbidities was significantly higher (p < 0.001) in GOLD B (50.4%) and D patients (53.1%) than in GOLD A (35.4%) and GOLD C ones (34.3%). The cluster analysis showed five phenotypes of comorbidities: cluster 1 included cardiac profile; cluster 2 included less comorbidities; cluster 3 included metabolic syndrome, apnea and anxiety-depression; cluster 4 included denutrition and osteoporosis and cluster 5 included bronchiectasis. The clusters were mostly significantly associated with symptomatic patients i.e. GOLD B and GOLD D. This study in a large real-life cohort shows that multimorbidity is common in patients with COPD.

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 15%
Researcher 14 12%
Student > Master 11 9%
Other 10 9%
Student > Doctoral Student 9 8%
Other 19 16%
Unknown 37 32%
Readers by discipline Count As %
Medicine and Dentistry 34 29%
Nursing and Health Professions 12 10%
Neuroscience 4 3%
Computer Science 3 3%
Engineering 3 3%
Other 14 12%
Unknown 47 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2023.
All research outputs
#2,558,652
of 25,587,485 outputs
Outputs from BMC Pulmonary Medicine
#146
of 2,287 outputs
Outputs of similar age
#49,984
of 340,108 outputs
Outputs of similar age from BMC Pulmonary Medicine
#4
of 45 outputs
Altmetric has tracked 25,587,485 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,108 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.