Your browser doesn't support javascript.
loading
Comparison of clinical characteristics of patients with pandemic SARS-CoV-2-related and community-acquired pneumonias in Hungary - a pilot historical case-control study.
Horváth, Viktor J; Hajdú, Noémi; Vági, Orsolya; Schnábel, Karolina; Szelke, Emese; Körei, Anna E; Békeffy, Magdolna; Svébis, Márk M; Domján, Beatrix A; Berényi, Tamás; Takács, István; Ungvári, Zoltán; Kun, Attila; Tabák, Ádám G.
Afiliación
  • Horváth VJ; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Hajdú N; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Vági O; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Schnábel K; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Szelke E; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Körei AE; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Békeffy M; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Svébis MM; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Domján BA; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Berényi T; Emergency Department, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • Takács I; Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Korányi S. u. 2/a, Budapest, H-1083, Hungary.
  • Ungvári Z; Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Oklahoma Center for Geroscience, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
  • Kun A; International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
  • Tabák ÁG; Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Geroscience ; 43(1): 53-64, 2021 02.
Article en En | MEDLINE | ID: mdl-33174170
The distinction between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related and community-acquired pneumonias poses significant difficulties, as both frequently involve the elderly. This study aimed to predict the risk of SARS-CoV-2-related pneumonia based on clinical characteristics at hospital presentation. Case-control study of all patients admitted for pneumonia at Semmelweis University Emergency Department. Cases (n = 30) were patients diagnosed with SARS-CoV-2-related pneumonia (based on polymerase chain reaction test) between 26 March 2020 and 30 April 2020; controls (n = 82) were historical pneumonia cases between 1 January 2019 and 30 April 2019. Logistic models were built with SARS-CoV-2 infection as outcome using clinical characteristics at presentation. Patients with SARS-CoV-2-related pneumonia were younger (mean difference, 95% CI: 9.3, 3.2-15.5 years) and had a higher lymphocyte count, lower C-reactive protein, presented more frequently with bilateral infiltrate, less frequently with abdominal pain, diarrhoea, and nausea in age- and sex-adjusted models. A logistic model using age, sex, abdominal pain, C-reactive protein, and the presence of bilateral infiltrate as predictors had an excellent discrimination (AUC 0.88, 95% CI: 0.81-0.96) and calibration (p = 0.27-Hosmer-Lemeshow test). The clinical use of our screening prediction model could improve the discrimination of SARS-CoV-2 related from other community-acquired pneumonias and thus help patient triage based on commonly used diagnostic approaches. However, external validation in independent datasets is required before its clinical use.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans País/Región como asunto: Europa Idioma: En Revista: Geroscience Año: 2021 Tipo del documento: Article País de afiliación: Hungria Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans País/Región como asunto: Europa Idioma: En Revista: Geroscience Año: 2021 Tipo del documento: Article País de afiliación: Hungria Pais de publicación: Suiza