Objective To explore the effect of virtual reality based early rehabilitation on the physical and cognitive function rehabilitation of patients with ischemic stroke.Methods A total of 150 ischemic stroke patients were randomly divided into a control group and an observation group:the patients in control group were treated with conventional care and those in the intervention group with early rehabilitation training based on virtual reality.The two groups were compared in regard to the differences in cognitive function,motor function and ability of daily living(ABL),with and without the intervention.Result In comparison with the control group,patients in the observation group presented significantly higher scores in cognitive function,motor function and ABL and the difference before and after the intervention(all P<0.05).Conclusions The virtual reality based early rehabilitation for the patients with ischemic stroke can remarkably improve the recovery of their cognitive function and motor function as well as to enhance the ability of daily living of the patients.Further studies are required to confirm the effectiveness of virtual reality based early rehabilitation.

A total of 3499 cases of influenza A (H1N1) were included in this study for analysis.Epidemiological and clinical data of these cases were input into EpiData software and analyzed by SPSS software. Throat swabs were collected from the cases and detected for nucleic acid of influenza A ( H1N1 )virus using real-time polymerase chain reaction (RT-PCR) with fluorescence quantitative method, and time of viral excretion and clinical features of the cases were analyzed. Results showed that 0. 37% of the cases were in-apparent and asymptomatic and the most common symptom of the cases was fever (86. 77% ).Throat swabs converted to negative on the sixth day of onset in average, and no factors related to the time of conversion was found with logistic regression analysis.

Objective To describe the epidemiological features of severe cases and deaths of pandemic influenza A (H1N1) 2009 in Beijing and to explore the main risk factors associated with the disease severity. Methods Data of pandemic influenza A (H1N1) 2009 reported in Beijing were collected and analyzed. The relative risks between disease condition and possible risk factors were determined using the multi-factor Logistic regression analysis. Results The incidence of pandemic influenza A(H1N1) 2009 was 66. 1/100 000, and the highest incidence was 86. 8/100 000 which occurred among people aged 25-60 years old. The prevalence of critical patients (12. 5/100 000 and 3.9/100 000, respectively), mortality (0. 9/100 000 and 0. 7/100 000, respectively) and fatality (2.4 % and 3.3 %, respectively) in people aged 0-5 years old and above 60 years old were higher than other age groups. There were 110 (20. 0%) preschool children among 549 critical cases, which were the largest proportion of critical cases. Among 69 death cases, 17 (24. 6%) were retirees with the highest proportion of death cases. More than 70. 0% of the critical cases and deaths visited hospital within two days of onset. The chronic heart disease and chronic lung disease were the most frequent risk factors of severe and death cases. Multi-factor Logistic regression analysis showed that the variables including aged above 60 years old (OR = 3. 586, 95 % CI = 1. 586 - 8. 117), chronic heart disease (OR=2. 126, 95%CI= 1. 178-3. 835), and chronic lung disease (OR=1. 954, 95%CI=1. 126-3. 391) were significantly associated with the disease severity. Conclusion Factors of aged above 60 years older, chronic heart disease and chronic lung disease may aggravate the severity of influenza A (H1N1).