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Cardiopulmonary Long-Term Sequelae in Patients after Severe COVID-19 Disease.
Niebauer, Julia Hanne; Binder-Rodriguez, Christina; Iscel, Ahmet; Schedl, Sarah; Capelle, Christophe; Kahr, Michael; Cadjo, Simona; Schamilow, Simon; Badr-Eslam, Roza; Lichtenauer, Michael; Toma, Aurel; Zoufaly, Alexander; Valenta, Rosmarie; Hoffmann, Sabine; Charwat-Resl, Silvia; Krestan, Christian; Hitzl, Wolfgang; Wenisch, Christoph; Bonderman, Diana.
Afiliación
  • Niebauer JH; Department of Cardiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Binder-Rodriguez C; Department of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
  • Iscel A; Department of Cardiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Schedl S; Department of Cardiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Capelle C; Department of Cardiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Kahr M; Department of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
  • Cadjo S; Department of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
  • Schamilow S; Department of Cardiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Badr-Eslam R; Department of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
  • Lichtenauer M; Department of Internal Medicine II, Division of Cardiology, University Hospital Salzburg, 5020 Salzburg, Austria.
  • Toma A; Department of Cardiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Zoufaly A; Department of Infectious Diseases, Favoriten Clinic, 1100 Vienna, Austria.
  • Valenta R; Faculty of Medicine, Sigmund Freud University, 1020 Vienna, Austria.
  • Hoffmann S; Department of Radiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Charwat-Resl S; Department of Cardiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Krestan C; Department of Cardiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Hitzl W; Department of Radiology, Favoriten Clinic, 1100 Vienna, Austria.
  • Wenisch C; Team Biostatistics and Publication of Clinical Trial Studies, Research and Innovation Management (RIM), Paracelsus Medical University, 5020 Salzburg, Austria.
  • Bonderman D; Department of Ophthalmology and Optometry, Paracelsus Medical University Salzburg, 5020 Salzburg, Austria.
J Clin Med ; 12(4)2023 Feb 15.
Article en En | MEDLINE | ID: mdl-36836071
ABSTRACT
We aimed to identify cardiopulmonary long-term effects after severe COVID-19 disease as well as predictors of Long-COVID in a prospective registry. A total of 150 consecutive, hospitalized patients (February 2020 and April 2021) were included six months post hospital discharge for a clinical follow-up. Among them, 49% experienced fatigue, 38% exertional dyspnea and 75% fulfilled criteria for Long-COVID. Echocardiography detected reduced global longitudinal strain (GLS) in 11% and diastolic dysfunction in 4%. Magnetic resonance imaging revealed traces of pericardial effusion in 18% and signs of former pericarditis or myocarditis in 4%. Pulmonary function was impaired in 11%. Chest computed tomography identified post-infectious residues in 22%. Whereas fatigue did not correlate with cardiopulmonary abnormalities, exertional dyspnea was associated with impaired pulmonary function (OR 3.6 [95% CI 1.2-11], p = 0.026), reduced GLS (OR 5.2 [95% CI 1.6-16.7], p = 0.003) and/or left ventricular diastolic dysfunction (OR 4.2 [95% CI 1.03-17], p = 0.04). Predictors of Long-COVID included length of in-hospital stay (OR 1.15 [95% CI 1.05-1.26], p = 0.004), admission to intensive care unit (OR cannot be computed, p = 0.001) and higher NT-proBNP (OR 1.5 [95% CI 1.05-2.14], p = 0.026). Even 6 months after discharge, a majority fulfilled criteria for Long-COVID. While no associations between fatigue and cardiopulmonary abnormalities were found, exertional dyspnea correlated with impaired pulmonary function, reduced GLS and/or diastolic dysfunction.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2023 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2023 Tipo del documento: Article País de afiliación: Austria