Widiana Ferriastuti, - and Aryati, - and Harianto Notopuro, - and Anggraini D. Sensusiati, - and Paulus Sugianto, - and Anita Widyoningroem, - (2022) The Role of ApOE, PSEN1, And Tnf-α as Predictor of COVID-19 Severity Evaluated Using Serial Thorax Radiograph. Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 48 (6). pp. 206-211. ISSN 1674-2974

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Abstract

The high number of Covid-19 incidents is the main problem currently being faced, so how to reduce the number of incidents is a significant concern at this time. It is hoped that the risk factors and causes of mortality and how to detect the severity of Covid-19 can be a solution to reduce the morbidity of Covid-19 infection. This research is an analytical observational using the ApoE, Presenilin 1 (PSEN1), and TNF-α from the blood sample of Covid-19 patients; moreover, the thorax serial radiographs were evaluated by CARE score and were also used to determine the prognosis. All of the three indicators were examined using the ELISA Kit. Furthermore, the variables were analyzed using the SPSS 16.0 Ver. with Pearson and Spearman Rho data analysis. There is no correlation between ApoE, PSEN1, and TNF-α as Covid-19 severity predictors in this research regarding factors such as fewer geriatric samples, steroid usage as therapy, and fewer patients with comorbidities.

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