Evidence map›Paper›PMID 30774328›Full record

ArticleInternational journal of chronic obstructive pulmonary disease

Phenotyping and outcomes of hospitalized COPD patients using rapid molecular diagnostics on sputum samples.

Nawaf M Alotaibi, Virginia Chen, Zsuzsanna Hollander, Jonathon A Leipsic, Cameron J Hague, Darra T Murphy, Mari L DeMarco, J M FitzGerald, Bruce M McManus, Raymond T Ng and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. The Evolving Landscape of COPD Typization.Medicina (Kaunas, Lithuania) · 2026
    Review
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  4. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 3 countries.

Nawaf M AlotaibiCentre for Heart Lung Innovation, James Hogg Research Centre, St Paul's Hospital, Vancouver, BC, Canada, don.sin@hli.ubc.ca.
Virginia ChenCentre for Heart Lung Innovation, James Hogg Research Centre, St Paul's Hospital, Vancouver, BC, Canada, don.sin@hli.ubc.ca.
Zsuzsanna HollanderCentre for Heart Lung Innovation, James Hogg Research Centre, St Paul's Hospital, Vancouver, BC, Canada, don.sin@hli.ubc.ca.
Jonathon A LeipsicDepartment of Radiology, St Paul's Hospital, Vancouver, BC, Canada.
Cameron J HagueDepartment of Radiology, St Paul's Hospital, Vancouver, BC, Canada.
Darra T MurphyDepartment of Radiology, St Paul's Hospital, Vancouver, BC, Canada.
Mari L DeMarcoCentre for Heart Lung Innovation, James Hogg Research Centre, St Paul's Hospital, Vancouver, BC, Canada, don.sin@hli.ubc.ca.
J M FitzGeraldInstitute for Heart and Lung Health, Vancouver, BC, Canada, don.sin@hli.ubc.ca.
Bruce M McManusCentre for Heart Lung Innovation, James Hogg Research Centre, St Paul's Hospital, Vancouver, BC, Canada, don.sin@hli.ubc.ca.
Raymond T NgPROOF Centre of Excellence, Vancouver, BC, Canada.
Don D SinCentre for Heart Lung Innovation, James Hogg Research Centre, St Paul's Hospital, Vancouver, BC, Canada, don.sin@hli.ubc.ca.
St. Paul's Hospital · CAUniversity of British Columbia · CAUniversity of British Columbia Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEtiologies of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are heterogeneous. We phenotyped severe AECOPD based on molecular pathogen detection of sputum samples collected at hospitalization of COPD patients and determined their outcomes.

methodsWe phenotyped 72 sputum samples of COPD patients who were hospitalized with a primary diagnosis of AECOPD using a molecular array that detected common bacterial and viral respiratory pathogens. Based on these results, the patients were classified into positive or negative pathogen groups. The pathogen-positive group was further divided into virus or bacteria subgroups. Admission day 1 blood samples were assayed for N-terminal prohormone brain natriuretic peptide, CRP, and complete blood counts.

resultsA total of 52 patients had a positive result on the array, while 20 patients had no pathogens detected. The most common bacterial pathogen detected was

conclusionMolecular diagnostics on sputum can rapidly phenotype serious AECOPD into bacteria-, virus-, or pathogen-negative groups. The bacteria-positive group appears to have the best prognosis, while pathogen-negative group has the worst. These data suggest that AECOPD is a heterogeneous event and that accurate phenotyping of AECOPD may lead to novel management strategies that are personalized and more precise.

Indexed as

Molecular Diagnostic TechniquesPatient AdmissionAgedDisease ProgressionDNA, BacterialDNA, ViralFemaleHumansLength of StayLungMaleMiddle AgedPhenotypePredictive Value of TestsPrognosisPulmonary Disease, Chronic ObstructiveDNA, BacterialDNA, ViralCOPDexacerbation phenotypesmolecular pathogen detection

Identifiers

PMID30774328
PMCPMC6350828
OpenAlexW2913435515

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.