2023
DOI: 10.7759/cureus.35702
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Effect of COVID-19 on Stress and Biomarkers: An Exploratory Cross-Sectional Study

Abstract: BackgroundAnxiety and stress in COVID-19 lead to continual pro-inflammatory cytokine activity resulting in excessive inflammation. Levels of different bio indices of COVID-19 may predict clinical outcomes and the severity of COVID-19 disease and may correlate with anxiety and stress levels. ObjectivesTo measure the level of anxiety in COVID-19 patients using the coronavirus anxiety scale (CAS) as an assessment of psychological stress. To measure the levels of blood biomarkers and biochemical and hematological … Show more

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Cited by 3 publications
(4 citation statements)
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“…Specifically, the IL-6 level in the severe group was markedly higher than that in the moderate group was observed between the severe and mild COVID-19 groups [11] .…”
Section: Discussionmentioning
confidence: 74%
See 1 more Smart Citation
“…Specifically, the IL-6 level in the severe group was markedly higher than that in the moderate group was observed between the severe and mild COVID-19 groups [11] .…”
Section: Discussionmentioning
confidence: 74%
“…Specifically, the percentage of lymphocytes in the severe group was significantly lower than that in the mild group [8.90 (5.6-16.7) vs. 21.90 (10.90-29.8)], and the percentage of lymphocytes in the moderate group was also lower than that in the mild group [12.15] (7.52-21.62) vs. 21.90 (10.90-29.8)]. Notably, there was no significant difference in the percentage of lymphocytes between moderate and severe patients [11] .…”
Section: Discussionmentioning
confidence: 87%
“…It has been adequately proven that blood markers such as high-sensitivity troponin, fibrinogen, blood glucose, C-reactive protein, lactate dehydrogenase, albumin, and ferritin can predict lethal outcomes in patients with COVID-19, and that high lactate dehydrogenase accumulation itself is a potential predictor of disease severity [39][40][41][42].…”
Section: Discussionmentioning
confidence: 99%
“…• Case Vignettes in Hematology: ChatGPT outperformed Google Bard and Microsoft Bing in solving hematologyrelated cases. It scored higher than the 50% threshold, suggesting its potential usefulness in medical education [61].…”
Section: Health Carementioning
confidence: 92%