Evidence map›Paper›PMID 37267379›Full record

ArticlePloS one2023

Use of latent class analysis and patient reported outcome measures to identify distinct long COVID phenotypes: A longitudinal cohort study.

Alyson W Wong, Karen C Tran, Mawuena Binka, Naveed Z Janjua, Hind Sbihi, James A Russell, Christopher Carlsten, Adeera Levin, Christopher J Ryerson

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Using Patient-Reported Outcome Measures to Identify Mobility Limitation in Incurable Cancer.Archives of rehabilitation research and clinical translation · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Health-related quality of life profiles in adolescents and young adults with chronic conditions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
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

9 authors.

Alyson W WongDepartment of Medicine, University of British Columbia, Vancouver, Canada.ORCID 0000-0003-4910-1948
Karen C TranDivision of General Internal Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Mawuena BinkaData and Analytic Services, BC Centre for Disease Control, Vancouver, British Columbia, Canada.
Naveed Z JanjuaData and Analytic Services, BC Centre for Disease Control, Vancouver, British Columbia, Canada.
Hind SbihiData and Analytic Services, BC Centre for Disease Control, Vancouver, British Columbia, Canada.
James A RussellCentre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, Canada.
Christopher CarlstenDepartment of Medicine, University of British Columbia, Vancouver, Canada.
Adeera LevinDepartment of Medicine, University of British Columbia, Vancouver, Canada.
Christopher J RyersonDepartment of Medicine, University of British Columbia, Vancouver, Canada.

Funding

CIHR HEC 181075
6 · The paper itself

Abstract

objectivesWe sought to 1) identify long COVID phenotypes based on patient reported outcome measures (PROMs) and 2) determine whether the phenotypes were associated with quality of life (QoL) and/or lung function.

methodsThis was a longitudinal cohort study of hospitalized and non-hospitalized patients from March 2020 to January 2022 that was conducted across 4 Post-COVID Recovery Clinics in British Columbia, Canada. Latent class analysis was used to identify long COVID phenotypes using baseline PROMs (fatigue, dyspnea, cough, anxiety, depression, and post-traumatic stress disorder). We then explored the association between the phenotypes and QoL (using the EuroQoL 5 dimensions visual analogue scale [EQ5D VAS]) and lung function (using the diffusing capacity of the lung for carbon monoxide [DLCO]).

resultsThere were 1,344 patients enrolled in the study (mean age 51 ±15 years; 780 [58%] were females; 769 (57%) were of a non-White race). Three distinct long COVID phenotypes were identified: Class 1) fatigue and dyspnea, Class 2) anxiety and depression, and Class 3) fatigue, dyspnea, anxiety, and depression. Class 3 had a significantly lower EQ5D VAS at 3 (50±19) and 6 months (54 ± 22) compared to Classes 1 and 2 (p<0.001). The EQ5D VAS significantly improved between 3 and 6 months for Class 1 (median difference of 6.0 [95% CI, 4.0 to 8.0]) and Class 3 (median difference of 5.0 [95% CI, 0 to 8.5]). There were no differences in DLCO between the classes.

conclusionsThere were 3 distinct long COVID phenotypes with different outcomes in QoL between 3 and 6 months after symptom onset. These phenotypes suggest that long COVID is a heterogeneous condition with distinct subpopulations who may have different outcomes and warrant tailored therapeutic approaches.

Indexed as

COVID-19Quality of LifeBritish ColumbiaDyspneaFatigueFemaleHumansLatent Class AnalysisLongitudinal StudiesMalePatient Reported Outcome MeasuresPost-Acute COVID-19 Syndrome

Identifiers

PMID37267379
PMCPMC10237387

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.