目的系统评价经桡动脉行冠状动脉介入术患者术后早期下床活动的效果。方法检索1993年1月1日至2023年12月31日发表在Cochrane Library、PubMed、Web of Science、Embase、中国知网、中国生物医学文献数据库、维普资讯网、万方数据库和国...目的系统评价经桡动脉行冠状动脉介入术患者术后早期下床活动的效果。方法检索1993年1月1日至2023年12月31日发表在Cochrane Library、PubMed、Web of Science、Embase、中国知网、中国生物医学文献数据库、维普资讯网、万方数据库和国内外临床试验注册中心有关经桡动脉行冠状动脉介入术后早期下床活动的试验性研究,对纳入研究进行质量评价,采用RevMan 5.3软件进行Meta分析。结果最终纳入12项研究,Meta分析结果显示,与常规康复相比,经桡动脉行冠状动脉介入术后早期下床活动有利于改善患者左室射血分数[MD=4.35,95%CI(1.96,6.74),P<0.01];能提高患者生活质量[SMD=2.56,95%CI(1.37,3.75),P<0.01];增强患者日常生活能力[MD=3.78,95%CI(1.87,5.69),P<0.01];降低心绞痛[OR=0.35,95%CI(0.16,0.79),P=0.01]、心律失常[OR=0.33,95%CI(0.15,0.70),P<0.01]和心力衰竭[OR=0.35,95%CI(0.13,0.91),P=0.03]发生率;对改善冠状动脉再狭窄[OR=0.28,95%CI(0.07,1.16),P=0.08],左室舒张末内径[MD=-1.53,95%CI(-4.58,1.53),P=0.33]和6分钟步行距离[MD=32.87,95%CI(-2.03,67.77),P=0.06]效果不显著。结论早期下床活动可以明显改善经桡动脉行冠状动脉介入术后患者的心功能,提高其生活质量和日常生活能力,减少并发症,促进患者的康复。展开更多
To facilitate emerging applications and demands of edge intelligence(EI)-empowered 6G networks,model-driven semantic communications have been proposed to reduce transmission volume by deploying artificial intelligence...To facilitate emerging applications and demands of edge intelligence(EI)-empowered 6G networks,model-driven semantic communications have been proposed to reduce transmission volume by deploying artificial intelligence(AI)models that provide abilities of semantic extraction and recovery.Nevertheless,it is not feasible to preload all AI models on resource-constrained terminals.Thus,in-time model transmission becomes a crucial problem.This paper proposes an intellicise model transmission architecture to guarantee the reliable transmission of models for semantic communication.The mathematical relationship between model size and performance is formulated by employing a recognition error function supported with experimental data.We consider the characteristics of wireless channels and derive the closed-form expression of model transmission outage probability(MTOP)over the Rayleigh channel.Besides,we define the effective model accuracy(EMA)to evaluate the model transmission performance of both communication and intelligence.Then we propose a joint model selection and resource allocation(JMSRA)algorithm to maximize the average EMA of all users.Simulation results demonstrate that the average EMA of the JMSRA algorithm outperforms baseline algorithms by about 22%.展开更多
文摘目的系统评价经桡动脉行冠状动脉介入术患者术后早期下床活动的效果。方法检索1993年1月1日至2023年12月31日发表在Cochrane Library、PubMed、Web of Science、Embase、中国知网、中国生物医学文献数据库、维普资讯网、万方数据库和国内外临床试验注册中心有关经桡动脉行冠状动脉介入术后早期下床活动的试验性研究,对纳入研究进行质量评价,采用RevMan 5.3软件进行Meta分析。结果最终纳入12项研究,Meta分析结果显示,与常规康复相比,经桡动脉行冠状动脉介入术后早期下床活动有利于改善患者左室射血分数[MD=4.35,95%CI(1.96,6.74),P<0.01];能提高患者生活质量[SMD=2.56,95%CI(1.37,3.75),P<0.01];增强患者日常生活能力[MD=3.78,95%CI(1.87,5.69),P<0.01];降低心绞痛[OR=0.35,95%CI(0.16,0.79),P=0.01]、心律失常[OR=0.33,95%CI(0.15,0.70),P<0.01]和心力衰竭[OR=0.35,95%CI(0.13,0.91),P=0.03]发生率;对改善冠状动脉再狭窄[OR=0.28,95%CI(0.07,1.16),P=0.08],左室舒张末内径[MD=-1.53,95%CI(-4.58,1.53),P=0.33]和6分钟步行距离[MD=32.87,95%CI(-2.03,67.77),P=0.06]效果不显著。结论早期下床活动可以明显改善经桡动脉行冠状动脉介入术后患者的心功能,提高其生活质量和日常生活能力,减少并发症,促进患者的康复。
基金supported in part by the National Key R&D Program of China No.2020YFB1806905the National Natural Science Foundation of China No.62201079+1 种基金the Beijing Natural Science Foundation No.L232051the Major Key Project of Peng Cheng Laboratory(PCL)Department of Broadband Communication。
文摘To facilitate emerging applications and demands of edge intelligence(EI)-empowered 6G networks,model-driven semantic communications have been proposed to reduce transmission volume by deploying artificial intelligence(AI)models that provide abilities of semantic extraction and recovery.Nevertheless,it is not feasible to preload all AI models on resource-constrained terminals.Thus,in-time model transmission becomes a crucial problem.This paper proposes an intellicise model transmission architecture to guarantee the reliable transmission of models for semantic communication.The mathematical relationship between model size and performance is formulated by employing a recognition error function supported with experimental data.We consider the characteristics of wireless channels and derive the closed-form expression of model transmission outage probability(MTOP)over the Rayleigh channel.Besides,we define the effective model accuracy(EMA)to evaluate the model transmission performance of both communication and intelligence.Then we propose a joint model selection and resource allocation(JMSRA)algorithm to maximize the average EMA of all users.Simulation results demonstrate that the average EMA of the JMSRA algorithm outperforms baseline algorithms by about 22%.
