Objective To compare the advantages between SmartCare weaning and protocoldirected weaning in COPD patients regarding five aspects including comfort degree of COPD patients in weaning stage, workload of medical staff, weaning success rate, weaning time, and complications associated with mechanical ventilation. Methods COPD patients who’s planning to receive ventilation weaning were randomly divided into a SmartCare weaning group ( SC group) and a protocol-directed weaning group ( SBT group) . The comfort degree of patients and workload of medical staff were assessed by the visual analogue scale ( VAS) as the weaning plan started. 0 was for the most discomfort and maximal workload, and 10 was for the most comfort and minimal workload. Data fromthe following aspects had been recorded: times of blood gas analysis, weaning success rate, weaning time, self-extubation rate, the rate of re-intubation within 48 hours, and ventilator-associated pneumonia ( VAP) incidences. Results 40 patients were selected and divided into the SC group ( n =19) and the SBT group ( n =21) . There was no significant difference in the enrolled age and APACHEⅡ between two groups. The VAS scores was higher in the SC group than that in the SBT group in the first three days ( Plt;0.01) . The weaning time was shorter in the SBT group than that in the SBT group [ ( 4.7 ±2.7) days vs. ( 5.5 ±3.2) days] , without significant difference between two groups ( P gt;0.05) . There were no differences in times of blood gas analysis, weaning success rate, weaning time, self-extubation rate, the rate of re-intubation within 48 hours, and ventilator-associated pneumonia ( VAP) incidences between two groups ( P gt; 0.05) .Conclusion As compared with protocol-directed weaning, SmartCare weaning can increase comfort degree of patients and reduce the workload of medical staff with similar weaning success rate, weaning time, and complications associated with mechanical ventilation.
In order to promote the openness, transparency and standardization of clinical trials, improve the scientific and reliability of results, and reserve the manpower, material, and financial resources in the process of clinical trials, this study constructed an integrated intelligent management platform for clinical trials, which could carry out various types of clinical trials such as randomized controlled trials, non-randomized controlled trials, cohort studies, case-control studies, and cross-sectional studies simultaneously. The platform covers the whole process of scheme design, recruitment, follow-up, data analysis, and quality control. This paper mainly introduced the practical needs, design concept, basic framework and technical highlights to provide auxiliary tools for promoting the standardization and intelligence of clinical trials with energy saving and optimal efficiency.
As a temporary skin substitute, the dressings can protect the wound, stop bleeding, prevent infection and contribute to wound healing. According to the characteristics of the materials, wound dressings can be classified into traditional wound dressings, interactive dressings, bioactive dressings, tissue engineering dressings and smart dressings, etc. Different dressings have different characteristics, and some products have been widely used in clinic. Recently nanomaterials and three-dimensional bio-printing technology have significantly improved the performance of wound dressings. Future dressings will be developed from single function to multi-function composite, and integrated into an intelligent one. This paper reviews the current research progress and future development prospects of wound dressings.
The technical combination of artificial intelligence (AI) and thoracic surgery is increasingly close, especially in the field of image recognition and pathology diagnosis. Additionally, robotic surgery, as a representative of high-end technology in minimally invasive surgery is flourishing. What progress has been or will be made in robotic surgery in the era of AI? This article aims to summarize the application status of AI in thoracic surgery and progress in robotic surgery, and looks ahead the future.