| Autor: |
Sarangi, RajLaxmi, Bahinipati, Jyotirmayee, Veerappapillai, Shanthi, Mahapatra, Srikrushna, Mohapatra, Soumya R. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2740 Issue 1, p1-6, 6p |
| Abstrakt: |
Treatment of COVID-19 has been a major challenge during the current pandemic. Various parameters including clinical symptoms and laboratory markers were used for predicting severity of the disease. However, limited data has been available regarding role of inflammatory markers used for monitoring the progression of the disease. Current study aimed to investigate whether serum ferritin level can be used a marker of rapid progression of the disease and if it can predict mortality in COVID-19 cases. The present study included 40 qRT-PCR positive patients who succumbed to COVID-19 as severe group, and 40 patients who were hospitalized but recovered from the disease as the mild group. Demographic details and laboratory data of the patients were obtained and evaluated retrospectively. Spearman's rank correlation was done between serum ferritin and age in patients of differing severity of the disease. Receiver operating curve (ROC) was used for identifying best cut-off level of ferritin for classification of severity. The mean age of the non-survivor (severe/critically ill group) had a tendency to be higher than the mean age of those of the survivors (mild group). Serum ferritin was significantly higher among severe COVID-19 cases compared to mild (p<0.0001). In ROC analysis area under the curve was 0.790. Here we report for the first time, a cut off value for ferritin (277 ng/ml), which can differentiate between the various hospitalization outcomes of COVID-19 patients. There was no significant association observed in age distribution with severity of the disease. Circulating ferritin level not only reflect acute phase response but rather plays critical role in inflammation of COVID-19 disease. Ferritin a natural organometallic complex is a widely available marker, that can be used for monitoring and predicting disease progression thus it can guide clinicians for the effective management of COVID-19. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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