Background: The pandemic of COVID-19 poses a challenge to global healthcare. The mortality rates of severe cases range from 8.1% to 38%, and it is particularly important to identify risk factors that aggravate the disease. Methods: We performed a systematic review of the literature with meta-analysis, using 7 databases to identify studies reporting on clinical characteristics, comorbidities and complications in severe and non-severe patients with COVID-19. All the observational studies were included. We performed a random or fixed effects model meta-analysis to calculate the pooled proportion and 95% confidence interval (CI). Measure of heterogeneity was estimated by Cochran's Q statistic, I 2 index and P value. Results: A total of 4881 cases from 25 studies related to COVID-19 were included. The most prevalent comorbidity was hypertension (severe: 33.4%, 95% CI: 25.4%–41.4%; non-severe 21.6%, 95% CI: 9.9%–33.3%), followed by diabetes (severe: 14.4%, 95% CI: 11.5%–17.3%; non-severe: 8.5%, 95% CI: 6.1%–11.0%). The prevalence of acute respiratory distress syndrome, acute kidney injury and shock were all higher in severe cases, with 41.1% (95% CI: 14.1%–68.2%), 16.4% (95% CI: 3.4%–29.5%) and 19.9% (95% CI: 5.5%–34.4%), rather than 3.0% (95% CI: 0.6%–5.5%), 2.2% (95% CI: 0.1%–4.2%) and 4.1% (95% CI: −4.8%–13.1%) in non-severe patients, respectively. The death rate was higher in severe cases (30.3%, 95% CI: 13.8%–46.8%) than non-severe cases (1.5%, 95% CI: 0.1%–2.8%). Conclusion: Hypertension, diabetes and cardiovascular diseases may be risk factors for severe COVID-19.

Background: The pandemic of COVID-19 posed a challenge to global healthcare. The mortality rates of severe cases range from 8.1% to 31.8%, and it is particularly important to identify risk factors that aggravate the disease.Methods: We performed a systematic review of the literature with meta-analysis, using 7 databases to assess clinical characteristics, comorbidities and complications in severe and non-severe patients with COVID-19. All the observational studies were included. We performed a random or fixed effects model meta-analysis to calculate the pooled proportion and 95% CI. Measure of heterogeneity was estimated by Cochran’s Q statistic, I2 index and P value.Results: 4881 cases from 25 studies related to COVID-19 were included. The most prevalent comorbidity was hypertension (severe: 33.4%, 95% CI: 25.4% - 41.4%; non-severe 21.6%, 95% CI: 9.9% - 33.3%), followed by diabetes (severe: 14.4%, 95% CI: 11.5% - 17.3%; non-severe: 8.5%, 95% CI: 6.1% - 11.0%). The prevalence of ARDS, AKI and shock were all higher in severe cases, with 41.1% (95% CI: 14.1% - 68.2%), 16.4% (95% CI: 3.4% - 29.5%) and 19.9% (95% CI: 5.5% - 34.4%), rather than 3.0% (95% CI: 0.6% - 5.5%), 2.2% (95% CI: 0.1% - 4.2%) and 4.1% (95% CI -4.8% - 13.1%) in non-severe patients, respectively. The death rate was higher in severe cases (30.3%, 95% CI: 13.8% - 46.8%) than non-severe cases (1.5%, 95% CI: 0.1% - 2.8%).Conclusions: Hypertension, diabetes and cardiovascular diseases may be risk factors for COVID-19 patients to develop into severe cases.

Objective Guidelines from different areas on the use of non-invasive ventilation in COVID-19 have generally been inconsistent. The goals were to appraise the quality and availability of guidelines stated and whether non-invasive ventilation in the early stage of the pandemic is of importance. Design and Method Databases including PubMed, Web of Science, Cochrane Library, and websites of international organizations and gray databases were searched up to June 23, 2020. We also hand-searched the reference lists of eligible papers. Results A total of 26 guidelines met the inclusion criteria. Regarding the appraisal by the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument, the guidelines’ methodological quality was low. Among six domains, Rigour. of Development and Editorial Independence were of the lowest quality. Given the lack of evidence from randomized clinical trials and the great differences between different regions, non-invasive ventilation’s recommendations generated a considerable debate at the early stage of COVID-19. Conclusions Improving the methodological quality of the guidelines should be a goal in future pandemics. Additionally, more well-designed randomized clinical trials are needed to solve the controversy on the impact of non-invasive ventilation.

Urinary NGAL and L-FABP can be used to detect AKI and combining NGAL and L-FABP may improve the diagnostic performance; however, NGAL and L-FABP may be poor predictors for renal recovery after AKI.

The increased enkephalin mRNA and prodynorphin mRNA gene expressions in rat hippocampus were involved in chronic stress.

Background: The gut microbiota plays important roles in the occurrence and development of obesity and diabetes through participating in nutrient absorption and metabolism. Microecological regulation is likely to be key to understanding the effects of Chinese medicine. The Linggui Zhugan (LGZG) formula is a well-known Chinese medicine for controlling obesity in the clinic. However, its pharmacological effects and mechanism of action in diabetes require further exploration. Objective: To evaluate the effects of LGZG on body weight, glycemic control, lipid levels, and gut microbiota in high-fat diet-induced diabetic mice. Methods: High-fat diet-induced diabetic mice were subjected to an 8-week protocol of LGZG administration. We then evaluated the pharmacological effects of LGZG and its influence on gut microbes in fecal samples using the 16S rRNA-based microbiome profiling technique. Results: LGZG administration significantly reduced body weight and body fat mass in diabetic mice. Compared with the high-fat diet control group, LGZG favorably influenced blood glucose control, decreased blood glucose levels, and increased glucose tolerance, accompanied by an improvement in lipid metabolism. Furthermore, the global community composition and relative abundance of many taxa differed between mice fed chow or a high-fat diet. As expected, LGZG supplementation altered the general community structure of gut microbiota, the Firmicutes/Bacteroidetes ratio, and the relative abundance of certain bacteria, such as Bacteroides, Lactobacillus, Oscillospira, and Helicobacter . Conclusion: LGZG effectively controlled obesity and relieved insulin resistance, which may be closely related to its impact on gut microbiota.

This study was designed to investigate the effect of acute and chronic high-intensity treadmill exercise on changes in plasma lactate and brain neuropeptide (NPY), leucine-enkephalin (L-ENK), and dynorphin A(1-13) (DYN A(1-13)). Avidin-biotin complex (ABC) immunohistochemistry and image pattern analysis were used to observe the effect of chronic (total 7 weeks) and acute treadmill exercise (an initial speed of 15 m min(-1) gradually increased to 35 m min(-1) with 0 degrees, 20-25 min per day duration) on the changes of NPY, L-ENK, and DYN A(1-13) in different areas of rat brain. Plasma lactate was also measured in response to such exercise. Compared with preexercise control (P < 0.01), plasma lactate concentration significantly increased in the immediate postexercise; but it returned to the normal level soon after the 30 min postexercise. The content of NPY in paraventricular (PVN), dorsomedial (DMN), and ventromedial (VMN) hypothalamic nuclei continued to increase in 0, 30, and 180 min postexercise compared with preexercise control (P < 0.01). The content of L-ENK in caudate-putamen (CPu) significantly increased in the immediate postexercise compared with preexercise control (P < 0.01), but it gradually returned to the normal level after the 180 min postexercise. However, the content of DYN A(1-13) in PVN rose substantially only in 30 min postexercise in comparison with the preexercise control (P < 0.01). Thus, different changes of NPY, L-ENK, and DYN A(1-13) in response to such high-intensity exercise depend on the brain region and the time examined, especially, the contents of NPY in different brain regions continuously remain at a high level after such high-intensity exercise. And this high level might reduce energy expenditure and thus contribute to the stimulation of brain NPY neurons.

Background Individual studies have indicated variable prevalence for chronic cough, but thus far, there has been no systematic report on the prevalence of this condition. Methods In this study, we performed a systematic review and meta-analysis by searching databases including PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Chinese biomedical literature service system, Wanfang Database, and VIP database, for studies on chronic cough in China published before December 28, 2020. A random effects model was used to calculate pooled prevalence estimates with 95% confidence interval [95%CI], weighted by study size. Results Fifteen studies with 141,114 community-based adults were included in the study, showing a prevalence of 6.22% (95% CI 5.03–7.41%). And 21 studies with 164,280 community-based children were included, presenting a prevalence of 7.67% (95% CI 6.24–9.11%). In subgroup meta-analyses, the prevalence in adults was 4.38% (95% CI 2.74–6.02%) in southern China and 8.70% (95% CI 6.52–10.88%) in northern China. In the children population, the prevalence in northern China was also higher than in southern China (northern vs. southern: 7.45% with a 95% CI of 5.50–9.41%, vs. 7.86% with a 95% CI of 5.56–10.16%). Conclusions Our population-based study provides relatively reliable data on the prevalence of chronic cough in China and may help the development of global strategies for chronic cough management.