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Clinical characteristics, imaging, and lung function among patients with persistent dyspnea of COVID-19: a retrospective observational cohort study.
Manglani, Ravi; Fenster, Moshe; Henson, Theresa; Jain, Ananth; Schluger, Neil.
Afiliação
  • Manglani R; Division of Pulmonary and Critical Care, Sutter Gould Medical Foundation, Modesto, California. ravi.manglani@sutterhealth.org.
  • Fenster M; Department of Medicine, Mount Sinai South Nassau, Oceanside, New York. mfenster22@gmail.com.
  • Henson T; Division of Pulmonary and Critical Care, Saint Barnabas Health System, Bronx, New York. theresahenson912@gmail.com.
  • Jain A; Division of Pulmonary and Critical Care, Westchester Medical Center, New York Medical College, Valhalla, New York. jain.ananth92@gmail.com.
  • Schluger N; Department of Medicine, Westchester Medical Center, New York Medical College, Valhalla, New York. nschluge@nymc.edu.
Article em En | MEDLINE | ID: mdl-38713158
ABSTRACT
The available medical literature on lung function and corresponding clinical characteristics among symptomatic survivors of Corona Virus Disease 2019 (long COVID) is sparse. Primary physicians referred patients who manifested persistent dyspnea months after their index case of infection to a designated clinic. Patients underwent symptom-driven, quality-of-life, physical, and focused respiratory [pulmonary function tests and computed tomography (CT) of the chest] evaluations and were followed over time. In this paper, we present our findings. Patients with abnormal CT imaging were more likely to be of advanced age and to have been hospitalized during their COVID-19 infection. Forced exhaled volume in the first second, forced vital capacity (FVC), total lung capacity, and diffusion capacity of carbon monoxide measurements were found to be significantly lower in patients with abnormal CT imaging. Multivariate regression of clinical characteristics uncovered a significant association between FVC, body mass index, history of hospitalization, and diabetes mellitus. In conclusion, longer-term studies will help further our understanding of the risk factors, disease course, and prognosis of long COVID patients.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article