Abstract
Objectives: Inflammation is the main cause of systemic damage in SARS-COV2 infections. Steroid treatment has been shown to reduce mortality in COVID-19. However, there is no index to monitor treatment responses to steroids. Here, we evaluated the validity of serial C-reactive-protein (CRP) follow-up for predicting the outcome in the patients receiving steroid therapy.
Material and methods: In our retrospective cohort study, four hundred twenty-five patients were included. All patients received dexamethasone 6 mg/day or equivalent dose of steroid as much as needed with the onset of hypoxia (SaO2 ≤ 93%). We divided patients into two groups according to outcome (deceased/discharged). We then compared demographic, clinical and laboratory features between the groups. Lastly, we evaluated the thresholds of CRP decline associated with COVID-19 associated mortality at 3th, 5th days and at the end of treatment.
Results: COVID 19 associated mortality rate of the cohort was 6.1% (26/425). In multivariate analysis, in which survival was evaluated, parameters related to death due to COVID-19 in the steroid group were high NEWS-2 score (0.82, CI 95 % 0.68-0.97, p=0.02), increased Charlson comorbidity index (0.68,CI 95% 0.51-0.90,p= 0.007) and absolute CRP level at the end of treatment (0.97,CI 95%, p<0.001). In addition, cut-off levels of CRP reduction related to COVID-19-associated mortality during steroid therapy were found as follows: less than 33% (sensitivity 75%, specificity 64.1%) on day 3, less than 43.5% (sensitivity 81.8%, specificity 70.8%) on day 5 and less than 55% at the end of the treatment (sensitivity 80.7%, specificity 71.8%).
Conclusions: Serial CRP measurement from the third day of steroid therapy can be used to predict mortality in COVID-19 patients receiving steroids.
Keywords: coronavirus disease 2019, mortality, c-reactive protein, steroid treatment
License
Copyright (c) 2022 The Author(s). This is an open access article distributed under the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited.

