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The epigenetic features contribute to variations in host susceptibility to SARS-CoV-2 infection and severity of symptoms. This study aimed to evaluate the relationship between the relative expression of microRNAs (miRNAs) and the severity of the disease in COVID-19 patients. The miRNA profiles were monitored during the different stages of the disease course using reverse transcription–quantitative polymerase chain reaction (RT-qPCR). The expression levels of the selected 11 miRNAs were measured in the blood samples collected from 73 patients (moderate, n = 37; severe, n = 25; critically ill, n = 11, a total of 219 longitudinal samples) on hospitalization day and days 7 and 21. Expression changes were expressed as “fold change” compared to healthy controls (n = 10). Our study found that several miRNAs differed according to disease severity, with the miR-155-5p the most strongly upregulated (p = 0.0001). A statistically significant negative correlation was observed between the expression of miR-155-5p and its target gene, the suppressor of cytokine signaling 1 (SOCS1). The relative expression of miR-155-5p was significantly increased and SOCS1 was significantly decreased with the disease progression (r = −0.805 p = 0.0001, r = −0.940 p = 0.0001, r = −0.933 p = 0.0001 for admission, day 7, and day 21, respectively). The overexpression of miR-155-5p has significantly increased inflammatory cytokine production and promoted COVID-19 progression. We speculated that microRNA-155 facilitates immune inflammation via targeting SOCS1, thus establishing its association with disease prognosis.

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OBJECTIVES The incidence of pneumomediastinum (PNMD), its causes of development and its effect on prognosis in the coronavirus disease 2019 (COVID-19) are not clear. METHODS Between March 2020 and December 2020, 427 patients with real-time reverse transcriptase-polymerase chain reaction-confirmed COVID-19 admitted to the intensive care unit were analysed retrospectively. Using receiver operating characteristic analysis, the area under the curve (AUC) for initial invasive mechanical ventilation (MV) variables such as initial peak inspiratory pressure (PIP), PaO2/FiO2 (P/F ratio), tidal volume, compliance and positive end-expiratory pressure was evaluated regarding PNMD development. RESULTS The incidence of PNMD was 5.6% (n = 24). PNMD development rate was 2.7% in non-invasive MV and 6.2% in MV [odds ratio (OR) 2.352, 95% confidence interval (CI) 0.541–10.232; P = 0.400]. In the multivariate analysis, the independent risk factors affecting the development of PNMD were PIP (OR 1.238, 95% CI 1.091–1.378; P < 0.001) and P/F ratio (OR 0.982, 95% CI 0.971–0.994; P = 0.004). P/F ratio (AUC 0.815, 95% CI 0.771–0.854), PIP (AUC 0.780, 95% CI 0.734–0.822), compliance (AUC 0.735, 95% CI 0.677–0.774) and positive end-expiratory pressure (AUC 0.718, 95% CI 0.668–0.764) were the best predictors for PNMD development. Regarding the multivariate analysis, independent risk factors affecting mortality were detected as age (OR 1.015, 95% CI 0.999–1.031; P = 0.04), comorbidity (OR 1.940, 95% CI 1.100–3.419; P = 0.02), mode of breathing (OR 48.345, 95% CI 14.666–159.360; P < 0.001), PNMD (OR 5.234, 95% CI 1.379–19.857; P = 0.01), positive end-expiratory pressure (OR 1.305, 95% CI 1.062–1.603; P = 0.01) and tidal volume (OR 0.995, 95% CI 0.992–0.998; P = 0.004). CONCLUSIONS PNMD development was associated with the initial P/F ratio and PIP. Therefore, it was considered to be related to both the patient and barotrauma. PNMD is a poor prognostic factor for COVID-19.

Hergünsel (2021) The effect of body mass index on the development of acute kidney injury and mortality in intensive care unit: is obesity paradox valid?,