An Investigation of Mental Health Status Among Medical Staff Following COVID-19 Outbreaks: A Cross-Sectional Study.

BACKGROUND COVID-19 (coronavirus disease 2019) broke out in China. This study was to investigate the situation of mental health status among medical staff following COVID-19. MATERIAL AND METHODS A cross-sectional study was conducted through structured questionnaires to collect the demographical information of the participating medical staff via WeChat following COVID-19 crisis. The Center for Epidemiologic Studies-Depression Scale (CES-D), impact of events scale revised (IES-R), and Pittsburgh Sleep Quality Index (PSQI) scale were used to evaluate depression, post-traumatic stress disorder (PTSD) symptoms, and sleep quality, respectively. 95% confidence intervals (CI) were calculated. RESULTS A total of 597 medical staff's information was included for the statistical analysis, and found 45.23% of subjects had PTSD symptoms, the mean PSQI score was 6.320±3.587. The results of multivariable analysis implied that medical workers who did not participate in the Hubei aid program (ß=4.128; 95% CI, 0.983-7.272; P=0.010) and PTSD symptoms (ß=7.212; 95% CI, 4.807-9.616; P<0.001) were associated with a higher tendency to depression. The PSQI score was linearly related to the CES-D score (ß=1.125; 95% CI, 0.804-1.445; P<0.001). Subgroup analysis showed that medical workers who did not participate in the Hubei aid program, no traumatic experience before COVID-19 outbreaks, and PTSD symptoms may affect the tendency to depression in females, but not in males. PSQI score was linearly related to the CES-D score both in males and females. CONCLUSIONS The medical staff with PTSD symptoms and higher PSQI score may have a higher tendency to depression following COVID-19 outbreaks.

Influencing Factors of Recanalization after Intravenous Thrombolysis with Urokinase in Acute Cerebral Infarction Patients.

BACKGROUND: Intravenous thrombolysis (IVT) with urokinase is the standard reperfusion therapy for acute cerebral infarction (ACI) in China. Only about 30% patients who use urokinase for IVT can recanalize. Therefore, this study aimed to analyze the influencing factors of recanalization after IVT using urokinase in ACI patients. METHODS: A total of 391 consecutive patients with a diagnosis of ACI from January 2013 to October 2019 were enrolled and divided into 2 groups: patients without recanalization and patients with recanalization. Related data were collected and analyzed. RESULTS: Univariate analysis showed that there were significant differences in gender, atrial fibrillation, erythrocyte mean corpuscular volume, platelet large cell ratio (P-LCR), glucose (GLU), and severity of ICAS between patients without recanalization and patients with recanalization (p < 0.05). Multivariate logistic regression analysis indicated that P-LCR (odds ratio [OR] = 0.17, 95% confidence interval [CI] = 0.03-0.89, p = 0.04), GLU (OR = 0.28, 95% CI = 0.11-0.67, p = 0.004), and ICAS severity (OR = 0.48, 95% CI = 0.32-0.76, p = 0.001) were the influencing factors of recanalization. CONCLUSION: For patients with higher levels of P-LCR, GLU, or ICAS severity, the recanalization rate might decrease after ACI.