Baoxing airborne medical team of West China Hospital participated in the medical rescue in 2013 “4?20”Lushan earthquake. The medical team excellently fulfilled their rescue task for 1 week in the earthquake-struck areas where there was power and communication failure and lack of water and food supply. We found some experiences and problems in airbornemedical team assembly and member selection, which may provide quotable experiences for future disaster assistance and rescue teams.
This research was aimed to study the effect of Emodin gel on the hypertrophic scars of rabbit ears. A total of 18 rabbits were randomly divided into Emodin group (9 rabbits) and control group (9 rabbits) after the successful animal model for hypertrophic scars had been made. The rabbits in the Emodin group were treated with Emodin Gel,while no special treatment was given to those in the control group. The other living conditions were all kept the same in the two groups. The diameter,hardness, and expression of transforming growth factor-β (TGF-β) and interleukin-1 (IL-1) of hypertrophic scars were measured after 4 weeks. Transmission electron microscopy was applied to observe the ultra-structure of the fibroblasts of hypertrophic scars. But there was no difference between the two groups in the diameter of hypertrophic scars (P>0.05). The hardness, expression of TGF-β and IL-1 in hypertrophic scars in the Emodin group decreased, compared to the control group (P<0.05, P<0.01, P<0.05). Transmission electron microscopy showed that the fibroblast and organelle lessened in the cytoplasm and the collagen fibers dissolved obviously. The study showed that Emodin gel decreased the hardness of hypertrophic scars in the rabbit ears, and inhibited the proliferation of fibroblasts in local area. Therefore, Emodin gel treatment would be one of the methods to prevent and treat hypertrophic scars.
Stroke is a kind of cerebrovascular disease with high incidence and disability rate. Motor dysfunction and cognitive dysfunction are common dysfunctions of stroke. Rehabilitation treatment can effectively reduce the disability rate of stroke and improve the quality of life. The short-term hospitalization and ambulatory rehabilitation treatment cannot meet the rehabilitation needs of stroke patients. Cloud rehabilitation is one of the ways to solve this problem. This article introduces the definition and application of cloud rehabilitation and artificial intelligence (including assisted rehabilitation assessment and assisted rehabilitation treatment), and summarizes the current problems in the development of stroke cloud rehabilitation in China, so as to promote the construction of remote rehabilitation based on artificial intelligence in China and provide some references for the selection of rehabilitation programs for patients with stroke.
Objective To investigate the rehabilitation status of patients with cerebral apoplexy at different ages six months after discharge from hospital. Methods Using the Barthel Index, the Modified Rivermead Mobility Index, the Zung Self-rating Depression Scale, and a self-designed rehabilitation exercise questionnaire, we conducted a cross-sectional investigation on the daily living ability, mobility, depression, and self-rehabilitation exercise of 207 stroke patients six months after discharge, who were discharged from the Rehabilitation Department of West China Hospital of Sichuan University between April 2017 and July 2019. The rehabilitation status of young and middle-aged (≥20 and <60 years old) stroke patients and elderly (≥60 years old) stroke patients were compared. Results There were 91 elderly patients and 116 young and middle-aged patients. Six months after discharge, the incidences of dysfunction in daily living ability (97.8% vs. 90.5%; χ2=4.598, P=0.032) and depression (51.2% vs. 36.2%; χ2=4.043, P=0.044) were higher in the elderly patients than those in the young and middle-aged patients, and the mobility score (26.38±9.77 vs. 29.47±10.60; t=2.154, P=0.032) and the proportion of patients taking self-rehabilitation exercise (93.4% vs. 100.0%; χ2=5.708, P=0.017) were lower in the elderly patients than those in the young and middle-aged patients. Conclusions In the process of continued rehabilitation nursing, different rehabilitation nursing measures should be implemented according to different ages, focusing on elderly stroke patients, and strengthening the supervision and promotion of rehabilitation training of daily living ability and mobility, psychological nursing and self-rehabilitation exercise compliance of elderly patients.
As a kind of disease with high incidence rate, high mortality, high recurrence rate and high disability rate, stroke has become one of the most serious disease burdens in China. Rapid diagnosis and treatment of stroke can effectively improve the outcome of patients and reduce the psychological and economic burden of patients’ families and society. In recent years, with the rapid development of artificial intelligence technology,this technology can effectively improve daily diagnosis and treatment efficiency. This paper focuses on the application of artificial intelligence technology to the diagnosis, treatment and outcome prediction of stroke, aiming to provide ideas for further guiding precision medicine.