Evidence map›Paper›PMID 41776429›Full record

ArticleBMC infectious diseases2026

Association of pre-pandemic respiratory system diseases with long COVID: a population-based case-control study.

Pia Lindberg, Sebastian Lindblom, Gunnar Ljunggren, Seika Lee, Iryna Kolosenko, Michael Runold, Artur Fedorowski, Caroline Wachtler, Kristina Piontkovskaya, Åsa M Wheelock and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 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

11 authors.

Pia LindbergDivision of Immunology and Respiratory Medicine, Department of Medicine Solna and Center for Molecular Medicine L8:02, Karolinska Institutet, Stockholm, 171 76, Sweden. Pia.lindberg@ki.se.
Sebastian LindblomDivision of Physiotherapy, School of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden.
Gunnar LjunggrenDivision of Family Medicine and Primary Health Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Seika LeeDivision of Family Medicine and Primary Health Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Iryna KolosenkoDivision of Immunology and Respiratory Medicine, Department of Medicine Solna and Center for Molecular Medicine L8:02, Karolinska Institutet, Stockholm, 171 76, Sweden.
Michael RunoldDivision of Immunology and Respiratory Medicine, Department of Medicine Solna and Center for Molecular Medicine L8:02, Karolinska Institutet, Stockholm, 171 76, Sweden.
Artur FedorowskiDepartment of Cardiology, Karolinska University Hospital, and Department of Medicine, Karolinska Institutet, Solna, Stockholm, Sweden.
Caroline WachtlerDivision of Family Medicine and Primary Health Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Kristina PiontkovskayaDivision of Immunology and Respiratory Medicine, Department of Medicine Solna and Center for Molecular Medicine L8:02, Karolinska Institutet, Stockholm, 171 76, Sweden.
Åsa M WheelockDivision of Immunology and Respiratory Medicine, Department of Medicine Solna and Center for Molecular Medicine L8:02, Karolinska Institutet, Stockholm, 171 76, Sweden.
Axel C CarlssonDivision of Family Medicine and Primary Health Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLong COVID, defined as diverse symptoms persisting > 3 months post-infection, remains a major post-pandemic healthcare burden. Here we investigate risk factor posed by pre-existing respiratory symptoms and illnesses for development of long COVID, with focus on individuals with mild-to-moderate COVID-19 at the primary infection, that did not require hospitalization during the primary SARS-CoV-2 infection.

methodsThis case-control study was designed to investigate the prevalence of respiratory system-related diagnoses in adult; non-hospitalized long COVID patients (cases) compared to matched controls without a history of long COVID. Data was extracted from the Stockholm Region’s database (VAL) and included diagnoses 12 months pre- and 6 months post-long COVID diagnosis as well as pre-pandemic diagnoses (year 2019). Conditional logistic regression models were applied.

resultsPatients with Long COVID displayed higher frequencies of pre-pandemic respiratory conditions (year 2019) as well as 12 months before long COVID diagnosis compared to controls, including acute upper respiratory tract infections (men: Odds ratio (OR) 2.47, women: OR 2.22), asthma (men: OR 1.76, women: OR 1.95), and bronchitis (men: OR 2.15, women: OR 2.71). ORs for asthma were the highest 12 months before long COVID diagnosis (men: OR 4.18, women: OR 3.76).

conclusionPatients with Long COVID with a mild-to-moderate primary SARS-CoV-2 infection had higher prevalence of pre-existing respiratory conditions than controls, suggesting that respiratory diseases including asthma were a significant risk factor for long COVID also in the non-hospitalized population. Understanding the link between common respiratory conditions managed in primary care, including asthma and bronchitis, and long COVID is vital for refining clinical strategies and improving outcomes in post-viral conditions.

Indexed as

COVID-19Respiratory Tract DiseasesAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedPandemicsPost-Acute COVID-19 SyndromePrevalenceRisk FactorsSARS-CoV-2SwedenCase control studiesCOVID-19DiagnosisLong COVIDPrimary healthcareSigns and symptoms, respiratorySomatic symptomsSymptom cluster

Identifiers

PMID41776429
PMCPMC13063568

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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.