Doganferguson4654

Elevated C-reactive protein and ground-glass opacities were the most common laboratory and radiological findings of COVID-19 pneumonia, respectively. A total of 114 Cesarean sections were performed due to COVID-19-related concerns. There were 55 cases of intubation (11.6%) and 13 maternal deaths (2.3%). The vertical transmission rate was 7.9%. We conclude that the characteristics of pneumonia caused by COVID-19 in pregnant women do not appear to be different from those in the general population with COVID-19 infections. However, pregnant women with underlying diseases were more likely to develop COVID-19 than others, and, in those infected with the virus, the rate of Cesarean delivery and preterm birth increased.There is data from individual clinical trials suggesting that procalcitonin (PCT) may be a prognostic factor in the severity of COVID-19 disease. Therefore, this systematic review and meta-analysis was performed to investigate PCT levels in severe COVID-19 patients. We searched Embase, ProQuest, MEDLINE/PubMed, Scopus, and ISI/Web of Science for studies that reported the level of PCT of patient with severe COVID-19. We included all studies regardless of design that reported the level of PCT in patients with severe COVID-19. We excluded articles not regarding COVID-19 or not reporting PCT level, studies not in severe patients, review articles, editorials or letters, expert opinions, comments, and animal studies. Nine studies were included in the analysis. The odds of having more severe COVID-19 disease was higher in subjects with elevated PCT (≥0.05 ng/mL) compared with those having low procalcitonin ( less then 0.05 ng/mL) [n = 6, OR(95% CI) = 2.91(1.14, 7.42), p = 0.025). After estimating the mean and standard deviation values from the sample size, median, and interquartile range, a pooled effect analysis indicated higher serum PCT concentrations in patients with severe versus less severe disease [n = 6, SMD(95% CI) = 0.64(0.02, 1.26), p = 0.042]. The results of this study showed that PCT is increased in patients with severe COVID-19 infection.Background and Aims Non-contrast chest computed tomography (CT) scans can accurately evaluate the type and extent of lung lesions. The aim of this study was to investigate the chest CT features associated with critical and non-critical patients with coronavirus disease 2019 (COVID-19). Methods A total of 1078 patients with COVID-19 pneumonia who underwent chest CT scans, including 169 critical cases and 909 non-critical cases, were enrolled in this retrospective study. The scans of all participants were reviewed and compared in two groups of study. In addition, the risk factors associated with disease in critical and non-critical patients were analyzed. Results Chest CT scans showed bilateral and multifocal involvement in most (86.4%) of the participants, with 97.6 and 84.3% reported in critical and non-critical patients, respectively. The incidences of pure consolidation (p = 0.019), mixed ground-glass opacities (GGOs) and consolidation (p less then 0.001), pleural effusion (p less then 0.001), and intralesional traction bronchiectasis (p = 0.007) were significantly higher in critical compared to non-critical patients. However, non-critical patients showed higher incidence of pure GGOs than the critical patients (p less then 0.001). Finally, the total opacity scores of the critical patients were significantly higher than those of non-critical patients (13.71 ± 6.26 versus 4.86 ± 3.52, p less then 0.001), with an area under the curve of 0.91 (0.88-0.94) for COVID-19 detection. Conclusions Our results revealed that the chest CT examination was an effective means of detecting pulmonary parenchymal abnormalities in the natural course of COVID-19. It can distinguish the critical patients from the non-critical patients (AUC = 0.91), which is helpful for the judgment of clinical condition and has important clinical value for the diagnosis and follow-up of COVID-19 pneumonia.Identification of the causal risk factors of COVID-19 would allow better risk stratification and designing effective therapies. Epidemiological data have shown a higher incidence and mortality of COVID-19 in males compared to females. Here, we have used logistic regression analysis modeling to determine the association between gender and COVID-19 mortality in the Iranian population. The records of 2293 patients with COVID-19 infection were analyzed. The odds of death due to COVID-19 were 1.7 times higher in males compared to females after adjustment for age and background diseases. The gender difference was mainly observed at higher ages, suggesting an adjusted 2.32-fold higher risk of mortality in males aged >59.5 years old compared to females within the same age group. This finding suggests the male gender is a potential predisposing factor for mortality due to COVID-19 infection. The potential role of male hormones, particularly testosterone, as therapeutic targets deserves further investigation.Aim The ongoing COVID-19 outbreak has not only had an impact on physical health but also on psychological health. The aim of this study was to measure the prevalence and severity of psychological distress in the community due to the COVID-19 pandemic. selleck chemicals Methods This cross-sectional survey was conducted in February and March 2020 in Tehran, Iran. We analyzed demographic characteristics and assessed depression, anxiety, and stress levels in 241 people using convenience sampling and the DASS-21 questionnaire. All statistical analyses were performed using R. Results The study population included 241 community-dwelling participants, of whom 145 were women and 96 were males. The mean age was 49.16 ± 8.01 years. Approximately two-thirds of participants (n = 158) reported no history of comorbid illness. The mean scores of depression and stress were at a "severe" level, while anxiety levels were at an "extremely severe" level. The prevalence of severe and extremely severe depression readings was 51.45 and 38.17%, respectively. In the anxiety subscale, the prevalence of severe and extremely severe depression was 95.90 and 4.1%, and in the stress subscale the prevalence was 48.97 and 4.98%, respectively. Conclusion In this study, people reported experiencing severe and extremely severe psychological distress. Therefore, there is an urgent need to implement mental health intervention policies to cope with this ongoing challenge. We suggest that the incorporation of molecular biomarker tests into the algorithm could aid in assessment of patients and guide the most appropriate therapeutic response.