Evidence map›Paper›PMID 42247829›Full record

Trial reportHeart & lung : the journal of critical care

Body mass index and baricitinib treatment effect in hospitalized adults with COVID-19: A secondary analysis of ACTT-2.

Rachel Rigsby, Timothy G Gaulton

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 authors.

Rachel RigsbyDepartment of Anesthesiology, Mass General Brigham, Boston, MA, USA.
Timothy G GaultonDepartment of Anesthesiology, Mass General Brigham, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: tgaulton@mgh.harvard.edu.

Funding

The effect of severe obesity on regional lung perfusion in acute hypoxemic respiratory failureK23HL175128 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI TIMOTHY Glen GAULTON · 2025 to 2026
$330k
NHLBI NIH HHS K23 HL175128
6 · The paper itself

Abstract

backgroundObesity alters inflammatory signaling in critical illness. Whether body weight modifies response to targeted immunomodulatory therapy remains unknown.

objectivesTo assess whether body mass index (BMI) and metabolic phenotypes modify the treatment effect of baricitinib in hospitalized adults with COVID-19.

methodsWe conducted a secondary analysis of the Adaptive COVID-19 Treatment Trial 2, which randomized participants to baricitinib plus remdesivir versus placebo plus remdesivir between May and July 2020. We included participants with BMI 18.5 to <50 kg/m². For the primary outcome of time to recovery, we used Fine-Gray competing risk regression with linear BMI and a BMI × treatment interaction, adjusted for age, sex, and baseline severity, with heterogeneity tested by likelihood ratio test. We also tested heterogeneity across four metabolic phenotype groups based on BMI (<30 vs ≥30 kg/m²) and the presence of diabetes or hypertension.

resultsAmong 942 participants, mean age was 56 years and 58% required advanced respiratory support at baseline. Subdistribution hazard ratios ranged from 1.11 (95% CI, 0.85-1.46) at BMI 20 kg/m² to 1.26 (95% CI, 0.93-1.70) at BMI 45 kg/m² (BMI × treatment interaction: χ²=0.22, P=.64). Among 925 participants with complete comorbidity data, treatment effects across four metabolic subgroups varied from 1.11 to 1.26 (χ²=0.58, P=.90).

conclusionIn this early pandemic population, we did not observe substantial variation in baricitinib treatment effect across BMI or metabolic subgroups, though clinically meaningful heterogeneity cannot be excluded. These findings inform broader questions of how obesity interacts with immunomodulatory therapy in critical illness.

Indexed as

AzetidinesBody Mass IndexCOVID-19 Drug TreatmentObesityPurinesPyrazolesSulfonamidesAdenosine MonophosphateAgedAlanineAntiviral AgentsCOVID-19Drug Therapy, CombinationFemaleHospitalizationHumansAdenosine MonophosphateAlanineAntiviral AgentsAzetidinesbaricitinibPurinesPyrazolesremdesivirSulfonamidesBaricitinibBody mass indexCOVID-19Critical careHeterogeneity of treatment effectImmunomodulationObesity

Identifiers

PMID42247829
PMCPMC13324905

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Registered trials

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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.