Your browser doesn't support javascript.
loading
Communication: The Follow-Up of Biomarkers Better Predicts the Poor Outcome in COVID-19 Patients.
Basoglu, Ozen K; Ozhan, Mustafa Hikmet; Ekren, Pervin Korkmaz; Ak, Gunes; Tasbakan, Mehmet Sezai; Sayiner, Abdullah.
Afiliação
  • Basoglu OK; Department of Chest Diseases, Ege University Faculty of Medicine ozen.basoglu@ege.edu.tr ozenbasoglu@yahoo.com.
  • Ozhan MH; Department of Chest Diseases, Ege University Faculty of Medicine.
  • Ekren PK; Department of Chest Diseases, Ege University Faculty of Medicine.
  • Ak G; Department of Clinical Biochemistry, Ege University Faculty of Medicine, Izmir, Turkey.
  • Tasbakan MS; Department of Chest Diseases, Ege University Faculty of Medicine.
  • Sayiner A; Department of Chest Diseases, Ege University Faculty of Medicine.
Ann Clin Lab Sci ; 50(6): 848-851, 2020 Nov.
Article em En | MEDLINE | ID: mdl-33334804
ABSTRACT

OBJECTIVE:

To investigate the course of biomarkers on admission and follow-up in order to identify early predictors for poor outcome in COVID-19 patients.

METHODS:

In this study, 132 COVID-19 patients were classified as good outcome (n=62) and poor outcome (n=70) groups. Laboratory parameters were evaluated on admission and within 5-7 days after hospitalization.

RESULTS:

Baseline levels of neutrophil-lymphocyte ratio, CRP, procalcitonin, ferritin, D-dimer and LDH were higher (p<0.01); lymphocyte count was lower in the poor outcome patients. During follow-up there was a larger decrease in lymphocyte count and more prominent increases in other biomarkers (p<0.001). In ROC analysis, the AUCs strongly indicated the poor outcome on days 5-7 of the hospitalization.

CONCLUSIONS:

This study suggests that the follow-up measurements of the biomarkers better predict the poor outcome in COVID-19 pneumonia.
Assuntos
Palavras-chave
Buscar no Google
Base de dados: MEDLINE Assunto principal: Índice de Gravidade de Doença / Biomarcadores / SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Índice de Gravidade de Doença / Biomarcadores / SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article