Objective To study the epidemic and clinical characteristics of three clusters of early cases of severe acute respiratery syndrome (SARS) in Shenzhen. Methods To retrospectively investigate three clusters of patients. To extract data on clinical presentation and laboratory studies. Results In the first cluster, one patient with SARS in Shenzhen had visited Hong Kong twice in one week. He had felt initial cold and fever in Hong Kong on January 14, while the second case had been onset of SARS when he had been back from Hong Kong. There were 5 people infected in the second cluster at the same time 1 week after they visited their father in a hospital in GuangZhou. Among the three clusters, two clusters had not been infected in ShenZhen, they are inputted, and another cluster is not clear, but it maybe inputted. Three clusters are distributed, they all had high fever. Among them, five had total body muscular soreness and unproductive cough, four with headache, three chill, and two dizziness and pharyngalgia. Three cases had asthma and diarrhea 1 week after the onset of SARS, and progressed to ARDS. The six patients with SARS in Shenzhen People’s Hospital tested positive for coronavirus-related anti-body (IgG) in their plasma 10-15 d after the onset. This IgG titres in one patient remained high (1∶640) 120 days after the onset. Neutrophilia and lymphopenia occurred in patients who died. The more severe the patients’condition was, the higher was the level of LDH increased. Conclusion In three clusters, most patients had not infected in Shenzhen, they are inputted and distributed. That patients with SARS tested positive for coronavirus-related IgG in their plasma.
ObjectiveTo systematically review the association between 5α-reductase inhibitors (5ARIs) and risk of sexual dysfunction in subjects with benign prostatic hyperplasia (BPH).MethodsPubMed, Web of Science, The Cochrane Library, EMbase, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect studies on the association between 5ARIs and risk of sexual dysfunction in subjects with BPH from inception to October 2020. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies. Meta-analysis was then performed by using Stata 12.0 software.ResultsA total of 15 studies involving 17 774 subjects were included. The results of the meta-analysis showed that compared with the placebo group, 5ARIs could significantly increase risk of erectile dysfunction (RR=1.52, 95%CI 1.36 to 1.69, P<0.000 1), while decrease libido (RR=1.79, 95%CI 1.37 to 2.32, P<0.000 1) and ejaculation disorder (RR=2.97, 95%CI 1.82 to 4.83, P<0.000 1) in subjects with BPH. Subgroup analysis of the type of 5ARIs, intervention period, publication year and sample size showed that the 5ARIs had a higher risk of sexual dysfunction than the placebo group.ConclusionsCurrent evidence shows that 5ARIs can increase risk of erectile dysfunction, decrease libido and ejaculation disorder in subjects with BPH. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusions.
Objective To systematically review the efficacy of short message intervention on glycosylated hemoglobin (HbAlc) and blood glucose levels on patients with type 2 diabetes mellitus. Methods We electronically searched databases including PubMed, EMbase, The Cochrane Library, CNKI and CBM from inception to August 2016, to collect randomized controlled trials (RCTs) about short message intervention in type 2 diabetes mellitus patients. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies. Then meta-analysis was performed using Stata 12.0 software. Results A total of 17 RCTs involving 2 879 patients were included. The results of meta-analysis showed that, on the basis of basic treatment, the use of text messages could lower the levels of HbA1c (SMD3 months=–0.50, 95%CI –0.67 to –0.34, P<0.001; SMD6 months=–0.33, 95%CI –0.59 to –0.07, P=0.012), FBG (SMD3 months=–0.28, 95%CI –0.45 to –0.11, P=0.001; SMD9 months=–0.99, 95%CI –1.44 to –0.54, P<0.001), PBG (SMD3 months=–0.99, 95%CI –1.54 to –0.44, P<0.001; SMD6 months=–0.81, 95%CI –1.25 to –0.36, P<0.001; SMD9 months=–0.78, 95%CI –1.23 to –0.34, P=0.001). Conclusion The current evidence shows that the use of SMS can improve glycosylated hemoglobin and blood glucose levels on type 2 diabetes patients. Due to limited quality and quantity of the included studies, the above conclusions are needed to be verified by more high quality studies.
ObjectiveTo investigate the factors that influence Chinese residents, self-rated health and the effects of the multilevel health insurance system and neighborhood social capital on self-rated health. MethodsBased on the 2018 China labor-force dynamics survey data, and Stata 15.0 software was used to conduct χ2 test, univariate analysis and multiple logistic regression model were used to analyze the influencing factors of self-rated health of Chinese residents. An interaction model was used to analyze the interactive effects of the multilevel health insurance system and the social capital of the neighborhood on self-rated health. ResultsA total of 10 201 people were investigated in this study, and 39.20% of them were self-rated unhealthy. After adjusting for confounders, the results of the multivariate logistic regression model showed that having social health insurance (OR=0.8, 95%CI 0.7 to 1.0) and having neighborhood social capital (OR=0.7, 95%CI 0.6 to 0.8) were more inclined to self-rated health. In addition, the results showed that being male, having a college degree or higher, having a job, and drinking alcohol increased the risk of self-rated unhealthy (P<0.05); whereas being 45-59 years of age, 60 years of age or older, in the central and western regions, exercising regularly, and having a disease or injury within two weeks decreased the risk of self-rated unhealthy (P<0.05). There was a positive multiplicative interaction effect between health insurance and neighborhood social capital on residents’ self-rated health (univariate: OR=1.5, 95%CI 1.1 to 3.7, P<0.05; multivariate: OR=1.7, 95%CI 1.2 to 2.4, P<0.05), and negative additive interactions (RERI=−0.8, 95%CI −1.4 to −0.1; AP=−0.3, 95%CI −0.6 to −0.1; SI=0.6, 95%CI 0.5 to 0.8). ConclusionAttention should be paid to the self-rated health status of key populations through means such as health promotion and education, and healthy behavior lifestyles should be promoted. The health insurance system should be further improved, and attention should be paid to the role of social capital in the neighborhood, encouraging residents to actively build a good social neighborhood, and realizing the coordinated development of the multilevel health insurance system and the social capital in the neighborhood.