Evidence map›Paper›PMID 39612112›Full record

ArticleAnnals of intensive care2024

Identification and validation of respiratory subphenotypes in patients with COVID-19 acute respiratory distress syndrome undergoing prone position.

Mônica R da Cruz, Pedro Azambuja, Kátia S C Torres, Fernanda Lima-Setta, André M Japiassú, Denise M Medeiros

Erratum issuedAbstract read
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Article in Annals of intensive care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Mônica R da Cruz *Evandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation (INI-Fiocruz), Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-0641-0097
Pedro Azambuja *Evandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation (INI-Fiocruz), Rio de Janeiro, RJ, Brazil. pedro.azambuja@ini.fiocruz.br.ORCID http://orcid.org/0000-0002-2834-0061
Kátia S C TorresEvandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation (INI-Fiocruz), Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0009-0006-1496-5059
Fernanda Lima-SettaNational Institute of Women, Children and Adolescents Health Fernandes Figueira, Oswaldo Cruz Foundation (IFF-Fiocruz), Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0001-9171-2043
André M JapiassúEvandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation (INI-Fiocruz), Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-9444-9890
Denise M MedeirosEvandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation (INI-Fiocruz), Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0001-7921-5941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe heterogeneity of acute respiratory distress syndrome (ARDS) patients is a challenge for the development of effective treatments. This study aimed to identify and characterize novel respiratory subphenotypes of COVID-19 ARDS, with potential implications for targeted patient management.

methodsConsecutive ventilated patients with PCR-confirmed COVID-19 infection, in which prone positioning was clinically indicated for moderate or severe ARDS, were included in a prospective cohort. The patients were assigned to development or validation cohorts based on a temporal split. The PaO

results718 patients were included in a prospective cohort analysis. Of those, 504 were assigned to the development cohort and 214 to the validation cohort. Two distinct subphenotypes, labeled A and B, were identified. Subphenotype B had a lower PaO

conclusionOur study successfully identified and validated two distinct subphenotypes of COVID-19 ARDS based on key respiratory parameters. The findings suggest potential implications for better patient stratification, risk assessment, and treatment personalization. Future research is warranted to explore the utility of these novel subphenotypes for guiding targeted therapeutic strategies in COVID-19 ARDS.

Indexed as

Acute respiratory distress syndromeARDSCovid-19Machine learningMechanical ventilationSubphenotypes

Identifiers

PMID39612112
PMCPMC11607308

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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.