Evidence map›Paper›PMID 42332713›Full record

ArticleRespiratory research2026

Long-term chest CT abnormalities up to 4.5 years after COVID-19 hospitalization and their association with dyspnea and fatigue: a prospective cohort study.

Knut Stavem, Gunnar Einvik, Tøri Vigeland Lerum, Carin Meltzer, Jezabel Rivero Rodriguez, Haseem Ashraf, Sharmini R Lakxsan, Jostein Gleditsch, Ole Henning Skjønsberg, Trond Mogens Aaløkken

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Article in Respiratory 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.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Knut StavemInstitute of Clinical Medicine, University of Oslo, Oslo, Norway. knut.stavem@medisin.uio.no.
Gunnar EinvikInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Tøri Vigeland LerumInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Carin MeltzerDepartment of Radiology and Nuclear Medicine, Oslo University Hospital Ullevål, Oslo, Norway.
Jezabel Rivero RodriguezDepartment of Radiology and Nuclear Medicine, Oslo University Hospital Ullevål, Oslo, Norway.
Haseem AshrafInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Sharmini R LakxsanPulmonary Department, Akershus University Hospital, Lørenskog, Norway.
Jostein GleditschDepartment of Radiology, Østfold Hospital Kalnes, Grålum, Norway.
Ole Henning SkjønsbergInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Trond Mogens AaløkkenDepartment of Radiology and Nuclear Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-term pulmonary sequelae following hospitalization for COVID-19 remain incompletely characterized, and few studies have reported radiological outcomes beyond 2 years. This study investigated the persistence of chest CT abnormalities up to 4.5 years after hospitalization for COVID-19 and their association with current dyspnea and fatigue.

methodsThis longitudinal cohort study included patients hospitalized for COVID-19 in 2020. Chest CT was performed 3 months after hospital admission, with follow-up imaging after 12 months and 4.5 years in patients with persisting abnormalities. CT images were evaluated using a CT severity score (CSS) on a 0-12 scale, which was subsequently recoded to an abbreviated CSS (aCSS) on a 0-3 scale. Trends in CT abnormalities and their determinants were analyzed using multivariable mixed effects ordinal regression.

resultsIn total, 187 patients underwent chest CT at 3 months. Among patients with persistent abnormalities, 99 completed follow-up CT at 12 months and 54 at 4.5 years. Dyspnea (33%) and fatigue (61%) remained common at 4.5 years; however, correlations between current symptoms and aCSS were weak. Greater severity of the initial disease and older age were strong predictors of CT abnormalities. Regression analysis showed a gradual reduction in ground glass opacities (GGO) severity over time, whereas parenchymal bands increased and were associated with initial severity as assessed by the WHO 8-point ordinal scale for clinical improvement. Mosaic attenuation decreased during follow-up, but remained associated with the severity of the initial COVID-19 episode.

conclusionsFrom 3 months to 4.5 years after hospitalization, GGO and mosaic attenuation decreased, whereas parenchymal bands increased, with minimal change beyond 12 months. CT abnormalities were associated with initial disease severity and age but showed little association with dyspnea or fatigue.

Indexed as

COVID-19DyspneaFatigueHospitalizationLungTomography, X-Ray ComputedAgedCohort StudiesFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedPost-Acute COVID-19 SyndromeProspective StudiesChest CT severity scoreCohort studyCOVID-19DyspneaGround glass opacitiesHigh resolution computed tomography (HRCT)Long-termPulmonary fibrosisRadiology

Identifiers

PMID42332713
PMCPMC13576366

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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 Socratic graph.