BACKGROUND Sepsis exacerbates intestinal microecological disorders leading to poor prognosis.Proper modalities of nutritional support can improve nutrition,immunity,and intestinal microecology.AIM To identify the opti...BACKGROUND Sepsis exacerbates intestinal microecological disorders leading to poor prognosis.Proper modalities of nutritional support can improve nutrition,immunity,and intestinal microecology.AIM To identify the optimal modality of early nutritional support for patients with sepsis from the perspective of intestinal microecology.METHODS Thirty patients with sepsis admitted to the intensive care unit of the General Hospital of Ningxia Medical University,China,between 2019 and 2021 with indications for nutritional support,were randomly assigned to one of three different modalities of nutritional support for a total of 5 d:Total enteral nutrition(TEN group),total parenteral nutrition(TPN group),and supplemental parenteral nutrition(SPN group).Blood and stool specimens were collected before and after nutritional support,and changes in gut microbiota,short-chain fatty acids(SCFAs),and immune and nutritional indicators were detected and compared among the three groups.RESULTS In comparison with before nutritional support,the three groups after nutritional support presented:(1)Differences in the gut bacteria(Enterococcus increased in the TEN group,Campylobacter decreased in the TPN group,and Dialister decreased in the SPN group;all P<0.05);(2)different trends in SCFAs(the TEN group showed improvement except for Caproic acid,the TPN group showed improvement only for acetic and propionic acid,and the SPN group showed a decreasing trend);(3)significant improvement of the nutritional and immunological indicators in the TEN and SPN groups,while only immunoglobulin G improved in the TPN group(all P<0.05);and(4)a significant correlation was found between the gut bacteria,SCFAs,and nutritional and immunological indicators(all P<0.05).CONCLUSION TEN is recommended as the preferred mode of early nutritional support in sepsis based on clinical nutritional and immunological indicators,as well as changes in intestinal microecology.展开更多
Backgrounds This work emphasizes the current research status of the urban Digital Twins to establish an intelligent spatiotemporal framework.A Geospatial Artificial Intelligent(GeoAI)system is developed based on the G...Backgrounds This work emphasizes the current research status of the urban Digital Twins to establish an intelligent spatiotemporal framework.A Geospatial Artificial Intelligent(GeoAI)system is developed based on the Geographic Information System and Artificial Intelligence.It integrates multi-video technology and Virtual City in urban Digital Twins.Methods Besides,an improved small object detection model is proposed:YOLOv5-Pyramid,and Siamese network video tracking models,namely MPSiam and FSSiamese,are established.Finally,an experimental platform is built to verify the georeferencing correction scheme of video images.Result The MultiplyAccumulate value of MPSiam is 0.5B,and that of ResNet50-Siam is 4.5B.Besides,the model is compressed by 4.8times.The inference speed has increased by 3.3 times,reaching 83 Frames Per Second.3%of the Average Expectation Overlap is lost.Therefore,the urban Digital Twins-oriented GeoAI framework established here has excellent performance for video georeferencing and target detection problems.展开更多
基金Supported by Ningxia Natural Science Foundation Project,No.2022AAC03488the National Key Research and Development Program of China,No.2016YFD0400605.
文摘BACKGROUND Sepsis exacerbates intestinal microecological disorders leading to poor prognosis.Proper modalities of nutritional support can improve nutrition,immunity,and intestinal microecology.AIM To identify the optimal modality of early nutritional support for patients with sepsis from the perspective of intestinal microecology.METHODS Thirty patients with sepsis admitted to the intensive care unit of the General Hospital of Ningxia Medical University,China,between 2019 and 2021 with indications for nutritional support,were randomly assigned to one of three different modalities of nutritional support for a total of 5 d:Total enteral nutrition(TEN group),total parenteral nutrition(TPN group),and supplemental parenteral nutrition(SPN group).Blood and stool specimens were collected before and after nutritional support,and changes in gut microbiota,short-chain fatty acids(SCFAs),and immune and nutritional indicators were detected and compared among the three groups.RESULTS In comparison with before nutritional support,the three groups after nutritional support presented:(1)Differences in the gut bacteria(Enterococcus increased in the TEN group,Campylobacter decreased in the TPN group,and Dialister decreased in the SPN group;all P<0.05);(2)different trends in SCFAs(the TEN group showed improvement except for Caproic acid,the TPN group showed improvement only for acetic and propionic acid,and the SPN group showed a decreasing trend);(3)significant improvement of the nutritional and immunological indicators in the TEN and SPN groups,while only immunoglobulin G improved in the TPN group(all P<0.05);and(4)a significant correlation was found between the gut bacteria,SCFAs,and nutritional and immunological indicators(all P<0.05).CONCLUSION TEN is recommended as the preferred mode of early nutritional support in sepsis based on clinical nutritional and immunological indicators,as well as changes in intestinal microecology.
基金Supported by Key R&D Program of the Ministry of Science and Technology (2019YFC0810704)Key R&D Program of Guangdong Province (2019B111102002)Shenzhen Science and Technology Program (KCXFZ202002011007040)。
文摘Backgrounds This work emphasizes the current research status of the urban Digital Twins to establish an intelligent spatiotemporal framework.A Geospatial Artificial Intelligent(GeoAI)system is developed based on the Geographic Information System and Artificial Intelligence.It integrates multi-video technology and Virtual City in urban Digital Twins.Methods Besides,an improved small object detection model is proposed:YOLOv5-Pyramid,and Siamese network video tracking models,namely MPSiam and FSSiamese,are established.Finally,an experimental platform is built to verify the georeferencing correction scheme of video images.Result The MultiplyAccumulate value of MPSiam is 0.5B,and that of ResNet50-Siam is 4.5B.Besides,the model is compressed by 4.8times.The inference speed has increased by 3.3 times,reaching 83 Frames Per Second.3%of the Average Expectation Overlap is lost.Therefore,the urban Digital Twins-oriented GeoAI framework established here has excellent performance for video georeferencing and target detection problems.