Evidence map›Paper›PMID 42577718›Full record

ArticleERJ open research2026

COMSA-MEWS: a simple quantitative algorithm for determining response to biologics in severe asthma, tested in a real-world mepolizumab study.

Valentyna Yasinska, Johan Kolmert, Maria Sparreman Mikus, Lars I Andersson, Ann-Sofie Lantz, Eva Wallen-Nielsén, Apostolos Bossios, Nikolaos Lazarinis, Oksana Tenselius, Niclas Rydell and 9 more

Abstract read
In one paragraph

Article in ERJ open research, 2026. 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

19 authors.

Valentyna YasinskaClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1379-1265
Johan KolmertUnit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7116-6583
Maria Sparreman MikusClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-6560-6124
Lars I AnderssonClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-5257-4052
Ann-Sofie LantzClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
Eva Wallen-NielsénClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
Apostolos BossiosKarolinska Severe Asthma Center, Department of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-0494-2690
Nikolaos LazarinisKarolinska Severe Asthma Center, Department of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-2078-0705
Oksana TenseliusClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
Niclas RydellThermoFisher Scientific, Uppsala, Sweden.
Craig E WheelockDepartment of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8113-0653
Peter H HowarthGlobal Medical Affairs, Respiratory Biologics, Specialty Medicine, GSK, London, UK.ORCID https://orcid.org/0000-0003-0619-7927
Chris BrightlingInstitute of Lung Health, Leicester NIHR BRC, University of Leicester, Respiratory Medicine, Leicester, UK.
Andrei MalinovschiDepartment of Medical Sciences, Clinical Physiology, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-4098-7765
Christer JansonDepartment of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0001-5093-6980
Jenny MjösbergClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
Barbro DahlénClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
Anna JamesClinical Pediatrics, Institute of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Sven-Erik DahlénClinical Lung and Allergy Research Unit, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A 5-domain composite Core Outcome Measures set for Severe Asthma (COMSA) has been introduced for evaluation of treatment response. Methods: The COMSA evaluation strategy was tested in a real-world study of 78 patients with severe asthma with blood eosinophilia taking mepolizumab. Exacerbations, oral corticosteroid (OCS) use, forced expiratory volume in 1 s, Asthma Quality of Life Questionnaire score and Asthma Control Questionnaire-5 results were determined before treatment and 4, 12, 24 and 36 months thereafter. Responses were quantified as the sum of changes in domains using both the relative CONFiRM (CompOsite iNdexes For Response in asthMa) scale, where exacerbations and OCS use are given most weight, and Modified Equal Weight Score (MEWS), where each domain gives equal weight. Both scales use identical cut-offs for degree of change within domains. Results: After 1 year, the MEWS scoring system classified 13% as non-responders, 28% as sufficient-responders, 40% as substantial-responders and 19% as super-responders. Using CONFiRM, the corresponding group stratification was 22%, 22%, 33% and 23%, respectively. Group assignments remained unchanged at 24 and 36 months, for 66% of patients in COMSA-MEWS and 68% in COMFiRM. Baseline exhaled nitric oxide was highest among the super-responders, whereas other type 2 markers were similar across the groups. Conclusion: In this first real-world application, the COMSA stratification assigned patients into distinct, graded responder groups that may be used in clinical research and management of severe asthma. Although patient-reported symptoms are given greater weight in COMSA-MEWS, the two algorithms performed similarly.

Identifiers

PMID42577718
PMCPMC13454858

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