Evidence map›Paper›PMID 41209652›Full record

ArticleEClinicalMedicine2025

Derivation and external validation of community-acquired pneumonia subphenotypes in Southeast Asia: a secondary analysis of prospective cohort studies.

Taylor D Coston, Prapassorn Poolchanuan, Jesse E Ross, Lu Xia, Leila R Zelnick, Viriya Hantrakun, Parinya Chamnan, Gumphol Wongsuvan, David Furfaro, Max R O'Donnell and 10 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Taylor D CostonDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, USA.
Prapassorn PoolchanuanDepartment of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Jesse E RossDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, USA.
Lu XiaDepartment of Statistics and Probability, Michigan State University, East Lansing, MI, USA.
Leila R ZelnickDivision of Nephrology, Department of Medicine, University of Washington, Seattle, USA.
Viriya HantrakunMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Parinya ChamnanDepartment of Social Medicine, Sunpasitthiprasong Hospital, Ubon Ratchathani, Thailand.
Gumphol WongsuvanMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
David FurfaroDivision of Pulmonary, Allergy, and Critical Care Medicine, Beth Israel Deaconess Medical Center, Brookline, MA, USA.
Max R O'DonnellDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, USA.
Ali ShojaieDepartment of Biostatistics, University of Washington, Seattle, USA.
Sina A GharibDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, USA.
Pavan K BhatrajuDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, USA.
Khie C LieDivision of Tropical and Infectious Diseases, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia.
Chuen-Yen LauHIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Nguyen V V ChauOxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam.
Matthew J CummingsDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, USA.
Direk LimmathurotsakulMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Shelton W WrightDivision of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, USA.
T Eoin WestDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, USA.

Funding

Identification and Validation of Biological Sub-phenotypes of Sepsis-induced Acute Kidney Injury: A Precision Medicine Approach to Improve Clinical OutcomesR01DK133177 · NIDDK · UNIVERSITY OF WASHINGTON · PI Pavan Kumar Bhatraju · 2022 to 2026
$2.6M
Mentoring Multidisciplinary Research in MDR-TB Adherence and the Emergent Drug ResistanceK24AI191996 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Max O'Donnell · 2025 to 2026
$419k
NIAID NIH HHS K24 AI191996NIDDK NIH HHS R01 DK133177
6 · The paper itself

Abstract

Background: Identifying pneumonia subphenotypes in understudied populations can advance equitable personalized medicine for pneumonia care. We aimed to derive and validate subphenotypes of patients presenting with community-acquired pneumonia (CAP) in Southeast Asia. Methods: This secondary analysis included three prospective cohorts conducted between March 2013 and April 2020. First, we performed latent class analysis to identify subphenotypes using clinical and laboratory variables in a prospective cohort of adults hospitalized with CAP in northeastern Thailand. Next, we compared clinical and biological features between the subphenotypes and then developed a parsimonious classifier model (PCM) for accurate subphenotype assignment. We then validated the accuracy of PCM subphenotype assignment in an external, multinational prospective cohort of patients hospitalized with CAP in Southeast Asia. Finally, in an exploratory analysis, we used the PCM to assign pneumonia subphenotypes in a prospective cohort of patients hospitalized with COVID-19 in the United States of America and evaluated a heterogeneity of treatment effect with corticosteroids. Findings: Among 953 CAP patients in the Thai derivation cohort, we identified two subphenotypes: CAP1 (141, 15%) and CAP2 (812, 85%). We observed greater respiratory failure, 28-day mortality, inflammatory cytokines and metabolic derangements among CAP1 patients. A four-variable PCM discriminated subphenotype assignment in bootstrap internal validation (optimism-corrected C-statistic 0.97). In the Southeast Asian external validation cohort, CAP1 and CAP2 subphenotypes assigned by the PCM shared similar differential clinical features and outcomes with the Thai derivation cohort. In the cohort of patients with COVID-19, CAP1 and CAP2 subphenotypes assigned by the PCM differed by key clinical characteristics and revealed an interaction between corticosteroid treatment and mortality (P = 0.002). Interpretation: In Southeast Asia, CAP subphenotypes are associated with distinct outcomes, inflammatory profiles, and metabolomic signatures. These subphenotypes may represent unique targets for future CAP interventional trials. Funding: Supported by US NIH awards T32HL007287, F32HL168809, K08HL157562, U01AI115520, R01AI137111, R01GM114029, R21AI173435, R01HL113382, the Wellcome Trust grants 090219/Z/09/Z, 101103/Z/13/Z, 106680/B/14/Z, and 106698/B/14/Z, the US National Cancer Institute, National Institutes of Health HHSN261200800001E, and Firland Foundation award 20220012. For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.

Indexed as

Low- and middle-income countriesMetabolomicsPneumoniaPrecision medicineSubphenotypes

Identifiers

PMID41209652
PMCPMC12595281

What Socratic 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 Socratic graph.