BACKGROUND:In clinical practice,some patients might not be able or unwilling to provide a thorough history of medication and poison exposure.The aim of this study was to use toxicological analysis to examine the clini...BACKGROUND:In clinical practice,some patients might not be able or unwilling to provide a thorough history of medication and poison exposure.The aim of this study was to use toxicological analysis to examine the clinical characteristics of patients with acute poisoning whose exposure history was uncertain from a toxicological analysis perspective.METHODS:This was a retrospective and descriptive study from an institute of poisoning.Patient registration information and test reports spanning the period from April 1,2020 to March 31,2022,were obtained.Patients with uncertain exposure histories and who underwent toxicological analysis were included.Clinical manifestations and categories of toxics were analyzed.RESULTS:Among the 195 patients with positive toxicological analysis results,the main causes of uncertain exposure history was disturbance of consciousness(62.6%),unawareness(23.6%)and unwillingness or lack of cooperation(13.8%).The predominant clinical manifestations were disturbed consciousness(62.6%),followed by vomiting and nausea(14.4%)and liver function abnormalities(8.7%).A comparison of clinical manifestations between patients with positive and negative(n=99)toxicological analyses results revealed significantly different proportions of disturbances in consciousness(63%vs.21%),dizziness(1.5%vs.5.1%),multi-organ failure(1.5%vs.7.1%),and local pain(0 vs 4%).The main categories of substances involved were psychiatric medications(23.1%),sedatives(20.5%),insecticides(13.8%),and herbicides(12.8%).CONCLUSION:The clinical manifestations of acute poisoning in patients with an uncertain exposure history are diverse and nonspecific,and toxicological analysis plays a pivotal role in the diagnosis and differential diagnosis of such patients.展开更多
从昆虫智能识别入手开展新农科背景下昆虫学的实验教学改革和实践。软件由昆虫图片上传、模型训练、目标检测以及导出结果4个模块组成。完成目标检测的图片根据需要保存。AI昆虫识别软件的开发过程在Visual Studio Code环境下进行,采用P...从昆虫智能识别入手开展新农科背景下昆虫学的实验教学改革和实践。软件由昆虫图片上传、模型训练、目标检测以及导出结果4个模块组成。完成目标检测的图片根据需要保存。AI昆虫识别软件的开发过程在Visual Studio Code环境下进行,采用Python语言进行编程,实现对拍摄图片的高效率、高精度检测。最后拟通过学生本科实验教学环节,开放成为农科学生进行昆虫识别鉴定的实践工具,极大激发农科学生的上课激情,同时也有助于在新农科背景下培养农科类学生的现代农业创新思维。展开更多
基金supported by National Natural Science Foundation of China(82172184)。
文摘BACKGROUND:In clinical practice,some patients might not be able or unwilling to provide a thorough history of medication and poison exposure.The aim of this study was to use toxicological analysis to examine the clinical characteristics of patients with acute poisoning whose exposure history was uncertain from a toxicological analysis perspective.METHODS:This was a retrospective and descriptive study from an institute of poisoning.Patient registration information and test reports spanning the period from April 1,2020 to March 31,2022,were obtained.Patients with uncertain exposure histories and who underwent toxicological analysis were included.Clinical manifestations and categories of toxics were analyzed.RESULTS:Among the 195 patients with positive toxicological analysis results,the main causes of uncertain exposure history was disturbance of consciousness(62.6%),unawareness(23.6%)and unwillingness or lack of cooperation(13.8%).The predominant clinical manifestations were disturbed consciousness(62.6%),followed by vomiting and nausea(14.4%)and liver function abnormalities(8.7%).A comparison of clinical manifestations between patients with positive and negative(n=99)toxicological analyses results revealed significantly different proportions of disturbances in consciousness(63%vs.21%),dizziness(1.5%vs.5.1%),multi-organ failure(1.5%vs.7.1%),and local pain(0 vs 4%).The main categories of substances involved were psychiatric medications(23.1%),sedatives(20.5%),insecticides(13.8%),and herbicides(12.8%).CONCLUSION:The clinical manifestations of acute poisoning in patients with an uncertain exposure history are diverse and nonspecific,and toxicological analysis plays a pivotal role in the diagnosis and differential diagnosis of such patients.
文摘从昆虫智能识别入手开展新农科背景下昆虫学的实验教学改革和实践。软件由昆虫图片上传、模型训练、目标检测以及导出结果4个模块组成。完成目标检测的图片根据需要保存。AI昆虫识别软件的开发过程在Visual Studio Code环境下进行,采用Python语言进行编程,实现对拍摄图片的高效率、高精度检测。最后拟通过学生本科实验教学环节,开放成为农科学生进行昆虫识别鉴定的实践工具,极大激发农科学生的上课激情,同时也有助于在新农科背景下培养农科类学生的现代农业创新思维。
