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.
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.
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.
Objective To explore the consistency between the iKcare® grading system and Brunnstrom staging in evaluating upper and lower limb motor function in stroke patients. Methods From May 2018 to May 2020, stroke patients who met the standards in 34 medical institutions in China were recruited. The iKcare® grading system and Brunnstrom staging were used to evaluate the motor function of the upper and lower limbs of the subjects, respectively. The Kappa consistency test was used to evaluate the consistency between the two evaluation methods. Results A total of 340 eligible subjects were included, including 230 males and 110 females, with an average age of (61.44±12.77) years old, and an average course of disease of (62.96±42.53) days. The results showed that the Kappa evaluated for upper limb staging was 0.597 (P<0.001), and the Kappa evaluated for lower limb staging was 0.514 (P<0.001). Conclusions The evaluation results of iKcare® grading and Brunnstrom staging have moderate consistency. The iKcare® grading system can be used as an assessment tool for remote rehabilitation of motor function in stroke patients, but there is still room for improvement.
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.