Opposing patterns in self-reported and measured physical activity levels in middle-aged adults

Physical activity brings significant health benefits to middle-aged adults, although the research to date has been focused on late adulthood. This study aims to examine how ageing affects the self-reported and accelerometer-derived measures of physical activity levels in middle-aged adults. We employed the data recorded in the UK Biobank and analysed the physical activity levels of 2,998 participants (1381 men and 1617 women), based on self-completion questionnaire and accelerometry measurement of physical activity. We also assessed the musculoskeletal health of the participants using the dual-energy X-ray absorptiometry (DXA) measurements provided by the UK Biobank. Participants were categorised into three groups according to their age: group I younger middle-aged (40 to 49 years), group II older middle-aged (50 to 59 years), and group III oldest middle-aged (60 to 69 years). Self-reported physical activity level increased with age and was the highest in group III, followed by group II and I (P?<?0.05). On the contrary, physical activity measured by accelerometry decreased significantly with age from group I to III (P?<?0.05), and the same pertained to the measurements of musculoskeletal health (P?<?0.05). It was also shown that middle-aged adults mostly engaged in low and moderate intensity activities. The opposing trends of the self-reported and measured physical activity levels may suggest that middle-aged adults over-report their activity level as they age. They should be aware of the difference between their perceived and actual physical activity levels, and objective measures would be useful to prevent the decline in musculoskeletal health.

     

信息化技术应用于静脉血栓栓塞症护理的研究进展

综述信息化技术在静脉血栓栓塞症护理领域中风险预测、警报接收与上报、抗凝防治管理、医护人员相关继续医学教育、患者疾病预后管理的应用现状，总结其应用阻碍因素，旨在为我国静脉血栓栓塞症护理信息化建设提供参考。     

人工智能在中医药领域的应用进展及现状思考

人工智能（Artificial Intelligence，AI）的蓬勃兴起为现代社会带来了前所未有的机遇，中医药是中华民族传承千年的文化瑰宝。随着人工智能技术不断在中医药领域的科技创新中崭露头角，二者的融合不断加深，人工智能在中医药领域的发展前景、争议挑战也引发了诸多思考。本文将从人工智能在中医药领域的应用入手，对人工智能辅助中医诊断、智能决策与数据挖掘、健康管理及中草药现代化研究等方面，就近年来国内外研究进展进行总结与分析，以期为AI视域下实现中医药现代化、智能化赋能。     

Correction: Thrombotic and bleeding events,mortality, and anticoagulant use among 546,656 hospitalized patients with COVID‑19 in the United States: a retrospective cohort study

Journal of Thrombosis and Thrombolysis -     

姑息性胃切除联合术后化疗评分在腹膜转移的胃癌患者预后评估中的临床意义

目的:探讨姑息性胃切除联合术后化疗评分在腹膜转移的胃癌患者预后评估中的临床意义。方法:回顾性分析2010年1月至2016年12月7年间收治的287例发生腹膜转移的胃癌患者的临床病理资料。通过χ2检验分析评分与患者临床病理因素间的关系。通过Kaplan-Meier法绘制生存曲线，Log-rank检验比较患者生存率的差异；采用Cox比例风险回归模型对患者进行预后分析。结果:与评分中得分为2分和1分的患者相比，得分为0分的患者肿瘤侵润至T4b 期的患者较少［31%(18/58)比50.8%(63/124)、56.2%(59/105)，P=0.039］。全组患者的中位生存时间仅为8.7月。对患者进行单因素预后分析结果显示，血清白蛋白浓度（≤40 g/L），腹水，腹膜转移范围较大，肿瘤T分期较晚，评分得分较高的患者预后较差（均P＜0.05）。将上述因素纳入Cox多因素分析结果显示:评分［HR（95%CI）:1.384（1.165~1.644），P=0.000］，血清白蛋白浓度［HR（95%CI）:0.759（0.593~0.971），P=0.028］，肿瘤T分期［HR（95%CI）:1.493（1.216~1.832），P=0.000］是患者预后的独立危险因素。结论:评分对于胃癌伴腹膜转移患者的预后生存评估具有重要的临床意义。     

物联网技术在医院中的应用现状

物联网(Internet of Things,简称"IoT")技术是当前世界新一轮科技和经济发展的战略制高点之一。物联网是由传感技术感知物体,按照固定的协议实现任何时候物与物之间、人和物之间、人与人之间的互联互通,实现智能化识别、定位、跟踪及管理的网络,是信息技术和传感控制技术两者融合的产物。简单来说,物联网就是可以让人们所关注的事物在任何地方、任何时候都能被监控,其具有全面感知、可靠传递以及智能处理3个特点。物联网的核心是智能化,其在医院中的应用主要是实现对人的智能化医疗和对物的智能化管理工作,例如:实现婴儿防盗、无线输液管理、移动门诊输液管理等功能;用于医疗资产管理、资产定位,提升医疗器械调度效率。