Evidence map›Paper›PMID 41675440›Full record

ArticleThe Lancet regional health. Europe2026

SARS-CoV-2 reinfections and subsequent risk of hospital-diagnosed post-acute sequelae in Denmark (2020-2022): a nationwide cohort study.

Mark P Khurana, Mathilde Marie Brünnich Sloth, Neil Scheidwasser, Jacob Curran-Sebastian, Christian Morgenstern, Nicolas Banholzer, David Thein, Laust H Mortensen, Morten Rasmussen, Pikka Jokelainen and 7 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 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

17 authors.

Mark P KhuranaSection of Health Data Science & AI, Department of Public Health, University of Copenhagen, Bartholinsgade 6Q, 1356, Copenhagen K, Denmark.
Mathilde Marie Brünnich SlothSection of Health Data Science & AI, Department of Public Health, University of Copenhagen, Bartholinsgade 6Q, 1356, Copenhagen K, Denmark.
Neil ScheidwasserSection of Health Data Science & AI, Department of Public Health, University of Copenhagen, Bartholinsgade 6Q, 1356, Copenhagen K, Denmark.
Jacob Curran-SebastianSection of Health Data Science & AI, Department of Public Health, University of Copenhagen, Bartholinsgade 6Q, 1356, Copenhagen K, Denmark.
Christian MorgensternMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, 90 Wood Lane, London, W12 0BZ, United Kingdom.
Nicolas BanholzerSection of Health Data Science & AI, Department of Public Health, University of Copenhagen, Bartholinsgade 6Q, 1356, Copenhagen K, Denmark.
David TheinDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg, Nielsine Nielsens Vej 9, 2400, Copenhagen, Denmark.
Laust H MortensenRockwool Foundation, Ny Kongensgade 6, 1472, Copenhagen, Denmark.
Morten RasmussenDepartment of Virology and Microbiological Preparedness, Statens Serum Institut, Artillerivej 5, 2300, Copenhagen, Denmark.
Pikka JokelainenInfectious Disease Preparedness and One Health, Statens Serum Institut, Artillerivej 5, 2300, Copenhagen, Denmark.
Frederik Trier MøllerInfectious Disease Epidemiology and Prevention, Statens Serum Institut, Artillerivej 5, 2300, Copenhagen, Denmark.
Marc SteggerDepartment of Sequencing and Bioinformatics, Statens Serum Institut, Artillerivej 5, 2300, Copenhagen, Denmark.
Tyra G KrauseSection of Epidemiology, Department of Public Health, University of Copenhagen, Denmark.
Ewan CameronCurtin University, Bentley, WA, Australia.
David A DuchêneSection of Health Data Science & AI, Department of Public Health, University of Copenhagen, Bartholinsgade 6Q, 1356, Copenhagen K, Denmark.
Alexandros KatsiferisSection of Health Data Science & AI, Department of Public Health, University of Copenhagen, Bartholinsgade 6Q, 1356, Copenhagen K, Denmark.
Samir BhattSection of Health Data Science & AI, Department of Public Health, University of Copenhagen, Bartholinsgade 6Q, 1356, Copenhagen K, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-acute sequelae of COVID-19 (PASC), or long COVID, are a public health concern. While most recover from SARS-CoV-2 infections within weeks, some experience persistent symptoms. Here, we quantified the association between repeated SARS-CoV-2 infections and the risk of hospital-diagnosed PASC. Methods: We conducted a nationwide register-based cohort study of all adults in Denmark (≥18 years) with at least one SARS-CoV-2 PCR or antigen test between April 1, 2020, and December 31, 2022. Participants were followed from first test until long COVID diagnosis (ICD-10: B948A), death, emigration, three SARS-CoV-2 infections, or end of study. Risk of long COVID diagnosis was estimated at three timepoints after study entry (180 days, 1 year, 2 years) and the outcomes were assessed during the 180 days after each timepoint. Cause-specific Cox models treated death as a competing risk, with number of infections and vaccination status as time-varying covariates. Absolute risks and differences were estimated using G-computation. Analyses were stratified by sex, income, and vaccination status. Secondary analyses assessed fatigue and headache (ICD-10), excluding individuals with prior diagnoses. Findings: Of 4,418,544 individuals, 6942 (0.16%) were diagnosed with long COVID. The absolute risk of a diagnosis increased following reinfection (0.73% [95% CI 0.69-0.77] after one infection vs. 1.16% [1.05-1.30] after two infections at 180 days), but differences were small and decreased over time. Risks following reinfection were similar across sex and income strata. Absolute risk decreased with prior vaccinations. Secondary analyses showed no increased risk of fatigue or headache after primary infection. A small increase in fatigue risk was observed after reinfection at 1 year (RD 0.03% [0.01-0.05]), but not for headache. Interpretation: Reinfection increases long COVID risk; however, the absolute increase after reinfection is smaller than that observed after a primary infection. Vaccination offers substantial protection against long COVID. Funding: Danish National Research Foundation (DNRF).

Indexed as

Long COVIDPASCPost-acute sequelaeReinfectionSARS-CoV-2

Identifiers

PMID41675440
PMCPMC12887416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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 OpenQuestion graph.