Pulmonary recovery from COVID-19 in patients with metabolic diseases: a longitudinal prospective cohort study.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
14 02 2023
Historique:
received: 28 03 2022
accepted: 08 02 2023
entrez: 14 2 2023
pubmed: 15 2 2023
medline: 17 2 2023
Statut: epublish

Résumé

The severity of coronavirus disease 2019 (COVID-19) is related to the presence of comorbidities including metabolic diseases. We herein present data from the longitudinal prospective CovILD trial, and investigate the recovery from COVID-19 in individuals with dysglycemia and dyslipidemia. A total of 145 COVID-19 patients were prospectively followed and a comprehensive clinical, laboratory and imaging assessment was performed at 60, 100, 180, and 360 days after the onset of COVID-19. The severity of acute COVID-19 and outcome at early post-acute follow-up were significantly related to the presence of dysglycemia and dyslipidemia. Still, at long-term follow-up, metabolic disorders were not associated with an adverse pulmonary outcome, as reflected by a good recovery of structural lung abnormalities in both, patients with and without metabolic diseases. To conclude, dyslipidemia and dysglycemia are associated with a more severe course of acute COVID-19 as well as delayed early recovery but do not impair long-term pulmonary recovery.

Identifiants

pubmed: 36788324
doi: 10.1038/s41598-023-29654-1
pii: 10.1038/s41598-023-29654-1
pmc: PMC9926446
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2599

Informations de copyright

© 2023. The Author(s).

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Auteurs

Thomas Sonnweber (T)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria. Thomas.Sonnweber@i-med.ac.at.

Philipp Grubwieser (P)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.

Alex Pizzini (A)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.

Anna Boehm (A)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.

Sabina Sahanic (S)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.

Anna Luger (A)

Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria.

Christoph Schwabl (C)

Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria.

Gerlig Widmann (G)

Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria.

Alexander Egger (A)

Central Institute of Medical and Chemical Laboratory Diagnostics, University Hospital Innsbruck, Innsbruck, Austria.

Gregor Hoermann (G)

Central Institute of Medical and Chemical Laboratory Diagnostics, University Hospital Innsbruck, Innsbruck, Austria.
MLL Munich Leukemia Laboratory, Munich, Germany.

Ewald Wöll (E)

Department of Internal Medicine, St. Vinzenz Hospital, Zams, Austria.

Bernhard Puchner (B)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
The Karl Landsteiner Institute, Reha Zentrum Münster, Münster, Austria.

Susanne Kaser (S)

Department of Internal Medicine I, Medical University of Innsbruck, Innsbruck, Austria.

Igor Theurl (I)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.

Manfred Nairz (M)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.

Piotr Tymoszuk (P)

Data Analytics As a Service Tirol, Innsbruck, Austria.

Günter Weiss (G)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.

Michael Joannidis (M)

Division of Intensive Care and Emergency Medicine, Department of Internal Medicine I, Medical University of Innsbruck, Innsbruck, Austria. michael.joannidis@i-med.ac.at.

Judith Löffler-Ragg (J)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria. Judith.Loeffler@i-med.ac.at.

Ivan Tancevski (I)

Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria. ivan.tancevski@i-med.ac.at.

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Classifications MeSH