Evidence map›Paper›PMID 34262973›Full record

ArticleERJ open research2021

MULTI-PHACET: multidimensional clinical phenotyping of hospitalised acute COPD exacerbations.

Martin I MacDonald, Christian R Osadnik, Lauren Bulfin, Elizabeth Leahy, Paul Leong, Eskandarain Shafuddin, Kais Hamza, Paul T King, Philip G Bardin

Abstract read
In one paragraph

Article in ERJ open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Clinical Characteristics and Outcomes of Eosinophilic Exacerbations of COPD.International journal of chronic obstructive pulmonary disease · 2025
    Article
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Urgent need of novel biomarkers of acute dyspnea.Internal and emergency medicine · 2022
    Article
  12. Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Martin I MacDonaldMonash Lung and Sleep, Monash Health, Melbourne, Australia.ORCID https://orcid.org/0000-0003-1138-0590
Christian R OsadnikMonash Lung and Sleep, Monash Health, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9040-8007
Lauren BulfinMonash Lung and Sleep, Monash Health, Melbourne, Australia.ORCID https://orcid.org/0000-0002-3425-5023
Elizabeth LeahyMonash Lung and Sleep, Monash Health, Melbourne, Australia.
Paul LeongMonash Lung and Sleep, Monash Health, Melbourne, Australia.
Eskandarain ShafuddinMonash Lung and Sleep, Monash Health, Melbourne, Australia.
Kais HamzaStatistical Services, Monash University, Melbourne, Australia.
Paul T KingMonash Lung and Sleep, Monash Health, Melbourne, Australia.
Philip G BardinMonash Lung and Sleep, Monash Health, Melbourne, Australia.ORCID https://orcid.org/0000-0002-9596-574X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe generic term "exacerbation" does not reflect the heterogeneity of acute exacerbations of COPD (AECOPD). We utilised a novel algorithmic strategy to profile exacerbation phenotypes based on underlying aetiologies.

methodsPatients hospitalised for AECOPD (n=146) were investigated for aetiological contributors summarised in a mnemonic acronym ABCDEFGX (A: airway virus; B: bacterial; C: co-infection; D: depression/anxiety; E: eosinophils; F: failure (cardiac); G: general environment; X: unknown). Results from clinical investigations were combined to construct AECOPD phenotypes. Relationships to clinical outcomes were examined for both composite phenotypes and their specific aetiological components. Aetiologies identified at exacerbation were reassessed at outpatient follow-up.

resultsHospitalised AECOPDs were remarkably diverse, with 26 distinct phenotypes identified. Multiple aetiologies were common (70%) and unidentifiable aetiology rare (4.1%). If viruses were detected (29.5%), patients had longer hospitalisation (7.7±5.6

conclusionsHospitalised AECOPDs have numerous causes, often in combination, that converge in complex, multi-faceted phenotypes. Clinically important differences in outcomes suggest that a phenotyping strategy based on aetiologies can enhance AECOPD management.

Identifiers

PMID34262973
PMCPMC8273397

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.