Selected article for: "specificity sensitivity and study result"

Author: Çekiç, Deniz; Arman, Mehmet Emir; Genç, Ahmed Cihad; İşsever, Kubilay; Yıldırım, İlhan; Genç, Ahmed Bilal; Dheir, Hamad; Yaylacı, Selçuk
Title: Predictive role of FAR ratio in Covid-19 patients.
  • Cord-id: fcic2ba3
  • Document date: 2021_10_4
  • ID: fcic2ba3
    Snippet: OBJECTIVE No effective treatment has yet been found for SARS-cov-2, which caused a pandemic outbreak in 2019. It is crucial to detect the progression of Covid-19 in patients as early as possible. Fibrinogen to albumin ratio (FAR) has been used as a new inflammatory marker. We aimed to find out whether the use of the FAR as a predictor of mortality in Covid-19 patients provides clinical benefit. MATERIALS AND METHODS Data from 590 patients with Covid-19 from 15/03/2020 to 15/01/2021 in medicine w
    Document: OBJECTIVE No effective treatment has yet been found for SARS-cov-2, which caused a pandemic outbreak in 2019. It is crucial to detect the progression of Covid-19 in patients as early as possible. Fibrinogen to albumin ratio (FAR) has been used as a new inflammatory marker. We aimed to find out whether the use of the FAR as a predictor of mortality in Covid-19 patients provides clinical benefit. MATERIALS AND METHODS Data from 590 patients with Covid-19 from 15/03/2020 to 15/01/2021 in medicine wards and intensive care units (ICU) were retrospectively analyzed. Demographic data and other laboratory markers were collected from the electronic medical records. Relationship between FAR was investigated between patients in the survivor/non-survivor patients. FINDINGS The mean FAR levels in patients who were non survivor was 24.44±30.3 (n:272 and 11.29±6.29 (n:275) (p:0.000) in patients survivor COVID-19 infection. In ROC curve for FAR, the threshold FAR that may pose a risk for mortality was determined as 13.84 ((AUC: 0.808(0.771-0.844)); 74.9% Sensitivity, 74.6% Specificity; p:0.000 )). RESULT As a result of this study, increased FAR were found to be important markers in determining the mortality levels in Covid-19 patients.

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