Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are...Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized training.In this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute settings.We collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the FAST.We compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and MViT.We found that the findings of our deep learning model had a higher clinical value compared with the other approaches.Moreover,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech audio.These results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.展开更多
Background:Evidence-based interventions(EBIs)are frequently adapted or modified during the implementation process to meet the needs of the target context,public health professionals,or health practitioners.However,lit...Background:Evidence-based interventions(EBIs)are frequently adapted or modified during the implementation process to meet the needs of the target context,public health professionals,or health practitioners.However,little is known about how the EBIs of the same clinical problem at a different time(sustainability)and a different setting(scalability)should be adapted to facilitate implementation.To address this gap,this research aims to analyze the adaptations process of EBIs by taking post-stroke dysphagia screening as an example based on a series of empirical studies.Methods:We reviewed three best practice implementation projects of post-stroke dysphagia identification and management in China's Mainland,and conducted a comparative analysis of three projects of dysphagia screening practical decision-making according to core elements of evidence-based nursing(EBN).Results:We identified the core elements of EBN that influence decision-making in each best practice implementation project.The decision-making of screening time and tool for dysphagia in the three projects varied.Project 1:Post-stroke dysphagia was screened using Water Swallow Test(WST)before the first intake of liquid or food.Project 2:A sustainability study based on project 1,post-stroke dysphagia was screened using Standardized Swallowing Assessment(SSA)before the first intake of liquid or food,within 24 hours of admission.Project 3:A community scalability study based on project 2,post-stroke dysphagia was screened using Water Swallow Test(WST)before the first intake of liquid or food,within 24 hours after referral.Conclusions:Adaption of EBIs needs to fully consider the best available external evidence from systematic research,clinical expertise,patient preferences,as well as context.展开更多
Background: Novel coronavirus pneumonia (NCP) and osteoporotic vertebral compression fractures (OVCF) are the high incidences of diseases in the elderly. During the epidemic period, if not treated in time, the complic...Background: Novel coronavirus pneumonia (NCP) and osteoporotic vertebral compression fractures (OVCF) are the high incidences of diseases in the elderly. During the epidemic period, if not treated in time, the complications are high and the mortality is high. If we do not pay attention to infection prevention and control in pre-hospital emergency care, it will lead to the first time infection of medical staff and in-hospital cross infection in emergency outpatient receiving area. The correct consideration of both and the establishment of perfect pre-hospital emergency treatment and infection prevention and control synchronous strategy is an important premise to ensure the stable, orderly and safe medical treatment. Objective: To explore the effect of synchronous implementation of pre-hospital emergency care, nursing and infection pre-vention and control for senile OVCF during the epidemic. In order to improve the efficiency of pre-hospital emergency care and prevent the spread of infection. Method: A total of 92 elderly patients with OVCF who received pre-hospital treatment in 18 hospitals in Zhangjiakou City during the epidemic prevention and control period from January 2020 to November 2022 and met the inclusion criteria were selected as research objects, including 24 males and 68 females, aged 65 - 82 (74.2 ± 2.2) years. All patients were associated with concomitant injuries and underlying diseases. All patients in this group underwent predictive pre-hospital rescue and infection prevention and control procedures. Results: All the 92 elderly patients with OVCF received timely pre-hospital treatment during the epidemic period, and no aggravation occurred of the 92 patients, 35 were in the high risk area, 10 were in the medium risk area, and 47 were in the low risk area. Exclude OVCF for NCP Patients were treated according to the conventional diagnosis and treatment principles. Suspected and confirmed cases are transferred to designated surgical hospitals for treatment. All patients were followed up 3 months, 6 months and 12 months after treatment. There was no death rate, high satisfaction of pre-hospital first aid, high diagnostic accuracy, and good curative effect. None of the rescue personnel had any infection rate, and no hospital infection transmission and nosocomial cross infection occurred. Conclusion: It is the first step to safely treat patients and prevent cross infection to establish a perfect synchronous strategy of pre-hospital first aid and infection prevention and control.展开更多
Objective: This paper aims to screen and analyze the current status of high-risk stroke patients in Shashi District of Jingzhou City and the exposure levels of related risk factors, and provides suggestions as the ref...Objective: This paper aims to screen and analyze the current status of high-risk stroke patients in Shashi District of Jingzhou City and the exposure levels of related risk factors, and provides suggestions as the references for prevention and treatment of stroke. Methods: Using cluster sampling, on-site investigations were conducted on 1060 permanent residents aged 40 years and over at 3 townships and 2 communities in Shashi District of Jingzhou City from January 2018 to December 2018. Risk assessment of stroke is based on the stroke risk screening form. Statistical analysis was performed by using SPSS 22.0 software. Results: After making a stroke risk assessment, a total of 313 high-risk stroke patients were screened, and the detection rate was 29.53%. The exposure rate of risk factors from high to low was hypertension (70.93%), dyslipidemia (46.33%), less physical exercise (46.01%), diabetes (36.10%), overweight (33.55%), smoking (33.23%), family history of stroke (24.92%), atrial fibrillation or valvular heart disease (7.35%). There are statistically significant differences among all risk factors between the high-risk group and middle and low-risk groups (P Conclusion: The detection rate of high-risk stroke patients in Shashi District of Jingzhou City is high. Hypertension, dyslipidemia and less physical exercise are the main risk factors of stroke occurrence and recurrence in the region. The prevention and treatment of risk factors for stroke should be strengthened to control the incidence and recurrence rate of stroke.展开更多
目的对国内外筛查和预测脑卒中患者营养不良风险的评估工具进行范围综述,为临床营养筛查和相关研究提供参考依据。方法检索中国知网、维普中文科技期刊数据库、万方医学数据库、中国生物医学文献服务系统、PubMed、CINAHL护理学全文数...目的对国内外筛查和预测脑卒中患者营养不良风险的评估工具进行范围综述,为临床营养筛查和相关研究提供参考依据。方法检索中国知网、维普中文科技期刊数据库、万方医学数据库、中国生物医学文献服务系统、PubMed、CINAHL护理学全文数据库、Web of Science核心数据库,检索时限为自建库至2023年5月24日。由2名研究人员按照纳入排除标准独立进行文献筛选和资料提取,使用预测模型研究的偏倚风险适用性评估工具(PROBAST)和诊断准确性研究的质量评价工具(QUADAS-2)对所纳入的文献进行偏倚风险和适用性评价。结果共纳入13篇文献,包括1篇预测模型的构建及验证,12篇营养筛查工具的验证;各研究存在高偏倚风险,筛查工具适用性适中。结论现有营养不良评估工具对于脑卒中患者筛查偏倚风险较高,适用性适中,缺乏特异性。未来应开展脑卒中患者营养不良预测工具研究,构建高适用性的筛查工具。展开更多
基金supported by the Ministry of Science and Technology of China,No.2020AAA0109605(to XL)Meizhou Major Scientific and Technological Innovation PlatformsProjects of Guangdong Provincial Science & Technology Plan Projects,No.2019A0102005(to HW).
文摘Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized training.In this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute settings.We collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the FAST.We compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and MViT.We found that the findings of our deep learning model had a higher clinical value compared with the other approaches.Moreover,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech audio.These results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.
文摘Background:Evidence-based interventions(EBIs)are frequently adapted or modified during the implementation process to meet the needs of the target context,public health professionals,or health practitioners.However,little is known about how the EBIs of the same clinical problem at a different time(sustainability)and a different setting(scalability)should be adapted to facilitate implementation.To address this gap,this research aims to analyze the adaptations process of EBIs by taking post-stroke dysphagia screening as an example based on a series of empirical studies.Methods:We reviewed three best practice implementation projects of post-stroke dysphagia identification and management in China's Mainland,and conducted a comparative analysis of three projects of dysphagia screening practical decision-making according to core elements of evidence-based nursing(EBN).Results:We identified the core elements of EBN that influence decision-making in each best practice implementation project.The decision-making of screening time and tool for dysphagia in the three projects varied.Project 1:Post-stroke dysphagia was screened using Water Swallow Test(WST)before the first intake of liquid or food.Project 2:A sustainability study based on project 1,post-stroke dysphagia was screened using Standardized Swallowing Assessment(SSA)before the first intake of liquid or food,within 24 hours of admission.Project 3:A community scalability study based on project 2,post-stroke dysphagia was screened using Water Swallow Test(WST)before the first intake of liquid or food,within 24 hours after referral.Conclusions:Adaption of EBIs needs to fully consider the best available external evidence from systematic research,clinical expertise,patient preferences,as well as context.
文摘Background: Novel coronavirus pneumonia (NCP) and osteoporotic vertebral compression fractures (OVCF) are the high incidences of diseases in the elderly. During the epidemic period, if not treated in time, the complications are high and the mortality is high. If we do not pay attention to infection prevention and control in pre-hospital emergency care, it will lead to the first time infection of medical staff and in-hospital cross infection in emergency outpatient receiving area. The correct consideration of both and the establishment of perfect pre-hospital emergency treatment and infection prevention and control synchronous strategy is an important premise to ensure the stable, orderly and safe medical treatment. Objective: To explore the effect of synchronous implementation of pre-hospital emergency care, nursing and infection pre-vention and control for senile OVCF during the epidemic. In order to improve the efficiency of pre-hospital emergency care and prevent the spread of infection. Method: A total of 92 elderly patients with OVCF who received pre-hospital treatment in 18 hospitals in Zhangjiakou City during the epidemic prevention and control period from January 2020 to November 2022 and met the inclusion criteria were selected as research objects, including 24 males and 68 females, aged 65 - 82 (74.2 ± 2.2) years. All patients were associated with concomitant injuries and underlying diseases. All patients in this group underwent predictive pre-hospital rescue and infection prevention and control procedures. Results: All the 92 elderly patients with OVCF received timely pre-hospital treatment during the epidemic period, and no aggravation occurred of the 92 patients, 35 were in the high risk area, 10 were in the medium risk area, and 47 were in the low risk area. Exclude OVCF for NCP Patients were treated according to the conventional diagnosis and treatment principles. Suspected and confirmed cases are transferred to designated surgical hospitals for treatment. All patients were followed up 3 months, 6 months and 12 months after treatment. There was no death rate, high satisfaction of pre-hospital first aid, high diagnostic accuracy, and good curative effect. None of the rescue personnel had any infection rate, and no hospital infection transmission and nosocomial cross infection occurred. Conclusion: It is the first step to safely treat patients and prevent cross infection to establish a perfect synchronous strategy of pre-hospital first aid and infection prevention and control.
文摘Objective: This paper aims to screen and analyze the current status of high-risk stroke patients in Shashi District of Jingzhou City and the exposure levels of related risk factors, and provides suggestions as the references for prevention and treatment of stroke. Methods: Using cluster sampling, on-site investigations were conducted on 1060 permanent residents aged 40 years and over at 3 townships and 2 communities in Shashi District of Jingzhou City from January 2018 to December 2018. Risk assessment of stroke is based on the stroke risk screening form. Statistical analysis was performed by using SPSS 22.0 software. Results: After making a stroke risk assessment, a total of 313 high-risk stroke patients were screened, and the detection rate was 29.53%. The exposure rate of risk factors from high to low was hypertension (70.93%), dyslipidemia (46.33%), less physical exercise (46.01%), diabetes (36.10%), overweight (33.55%), smoking (33.23%), family history of stroke (24.92%), atrial fibrillation or valvular heart disease (7.35%). There are statistically significant differences among all risk factors between the high-risk group and middle and low-risk groups (P Conclusion: The detection rate of high-risk stroke patients in Shashi District of Jingzhou City is high. Hypertension, dyslipidemia and less physical exercise are the main risk factors of stroke occurrence and recurrence in the region. The prevention and treatment of risk factors for stroke should be strengthened to control the incidence and recurrence rate of stroke.
文摘目的对国内外筛查和预测脑卒中患者营养不良风险的评估工具进行范围综述,为临床营养筛查和相关研究提供参考依据。方法检索中国知网、维普中文科技期刊数据库、万方医学数据库、中国生物医学文献服务系统、PubMed、CINAHL护理学全文数据库、Web of Science核心数据库,检索时限为自建库至2023年5月24日。由2名研究人员按照纳入排除标准独立进行文献筛选和资料提取,使用预测模型研究的偏倚风险适用性评估工具(PROBAST)和诊断准确性研究的质量评价工具(QUADAS-2)对所纳入的文献进行偏倚风险和适用性评价。结果共纳入13篇文献,包括1篇预测模型的构建及验证,12篇营养筛查工具的验证;各研究存在高偏倚风险,筛查工具适用性适中。结论现有营养不良评估工具对于脑卒中患者筛查偏倚风险较高,适用性适中,缺乏特异性。未来应开展脑卒中患者营养不良预测工具研究,构建高适用性的筛查工具。
