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Knowledge and awareness of infection control practices among nursing professionals:A cross-sectional survey from South Asia and the Middle East

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World Journal of Critical Care Medicine 2023年第3期12卷 176-187页

作者： Kanwalpreet Sodhi Gunjan Chanchalani Muktanjali Arya Gentle S Shrestha Juhi N Chandwani Manender Kumar Monika G Kansal Mohammad Ashrafuzzaman Anushka D Mudalige Ashraf Al Tayar Bassam Mansour Hasan M Saeed Madiha Hashmi Mitul Das Nehad N Al Shirawi Ranjan Mathias Wagih O Ahmed Amandeep Sharma Diptimala Agarwal Prashant Nasa Department of Critical Care Deep HospitalLudhiana 141001PunjabIndia Critical Care Medicine Somaiya Hospital and Research CentreMumbai 400001MaharashtraIndia Department of Microbiology and Infection Control Deep HospitalLudhiana 141001India Department of Critical Care Medicine Tribhuvan University Teaching HospitalKathmandu 44600Nepal Anaesthesia and Intensive Care Unit Royal HospitalMuscat 112Oman Department of Cardiac Anaesthesia Fortis HospitalLudhiana 141002PunjabIndia Intensive Care Medicine Ng Teng Fong General HospitalSingapore 609606Singapore Intensive Care Unit Bangabandhu Sheikh Mujib Medical UniversityDhaka 1000Bangladesh Intensive Care Unit Colombo North Teaching HospitalRagama 11010Sri Lanka Intensive Care Unit and Respiratory Therapy Department Security Forces HospitalDamman 34223Saudi Arabia Pulmonary and Critical Care Division Zahraa Hospital-University Medical CenterBeirut 1007Lebanon Pulmonary Division Faculty of Medical SciencesLebanese UniversityBeirut 1007Lebanon Department of Critical Care Salmaniyah Medical ComplexManama 323Bahrain Department of Critical Care Medicine Ziauddin UniversityKarachi 75530Pakistan Anaesthesia and Critical Care Swasti HospitalRangia 781354India Department of Critical Care Medicine Al Fujairah HospitalFujairah 0000United Arab Emirates Department of Anesthesia and Intensive Care Hamad Medical CorporationDoha 974Qatar Intensive Care Unit Sulaiman Al Habib Medical GroupBuraidah 52211Saudi Arabia Department of Nursing Deep HospitalLudhiana 141001India Anesthesia and Intensive Care Shantived Institute of Medical SciencesAgra 282007India Department of Critical Care Medicine NMC Specialty HospitalDubai 7832United Arab Emirates Internal Medicine College of Medicine and Health SciencesAl Ain 15551Abu DhabiUnited Arab Emirates

BACKGROUND The proficiency of nursing professionals in the infection prevention and control(IPC)practices is a core component of the strategy to mitigate the challenge of healthcare associated *** To test knowledge of nurses working in intensive care units(ICU)in South Asia and Middle East countries on IPC *** An online self-assessment questionnaire based on various aspects of IPC practices was conducted among nurses over three *** A total of 1333 nurses from 13 countries completed the *** average score was 72.8%and 36%of nurses were proficient(mean score>80%).43%and 68.3%of respondents were from government and teaching hospitals,respectively.79.2%of respondents worked in<25 bedded ICUs and 46.5%in closed ***,a significant association was found between the knowledge and expertise of nurses,the country’s per-capita income,type of hospitals,accreditation and teaching status of hospitals and type of *** in high-and upper-middleincome countries(β=4.89,95%CI:3.55 to 6.22)was positively associated,and the teaching status of the hospital(β=-4.58,95%CI:-6.81 to-2.36)was negatively associated with the knowledge score among *** There is considerable variation in knowledge among nurses working in *** like income status of countries,public vs private and teaching status of hospitals and experience are independently associated with nurses’knowledge of IPC practices.

关键词： Knowledge Attitude Policy compliance Infection control Infection control practices Nurses

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人工智能白内障协同管理的通用平台

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眼科学报 2023年第10期38卷 665-675页

作者： WU Xiaohang HUANG Yelin LIU Zhenzhen LAI Weiyi LONG Erping ZHANG Kai JIANG Jiewei LIN Duoru CHEN Kexin YU Tongyong WU Dongxuan LI Cong CHEN Yanyi ZOU Minjie CHEN Chuan ZHU Yi GUO Chong ZHANG Xiayin WANG Ruixin YANG Yahan XIANG Yifan CHEN Lijian LIU Congxin XIONG Jianhao GE Zongyuan WANG Dingding XU Guihua DU Shaolin XIAO Chi WU Jianghao ZHU Ke NIE Danyao XU Fan LV Jian CHEN Weirong LIU Yizhi 林浩添无王厚硕(审校) 罗明杰(审校) State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangzhouChina Beijing Tulip Partners Technology Co. LtdBeijingChina School of Computer Science and Technology Xidian UniversityXi’anChina Zhongshan School of Medicine Sun Yat-sen UniversityGuangzhouChina Department of Molecular and Cellular Pharmacology University of Miami Miller School of MedicineMiamiFloridaUSA Department of Electrical and Computer Systems Engineering Faculty of EngineeringMonash UniversityMelbourneVictoriaAustralia Huizhou Municipal Central Hospital HuizhouChina Tung Wah Hospital Sun Yat-sen UniversityDongguanChina Dongguan Guangming Ophthalmic Hospital DongguanChina Kaifeng Eye Hospital KaifengChina Shenzhen Eye Hospital Shenzhen Key Laboratory of OphthalmologyShenzhen University School of MedicineShenzhenChina Department of Ophthalmology People’s Hospital of Guangxi Zhuang Autonomous RegionNanningChina 《眼科学报》出版团队西安交通大学第一附属医院中山大学中山眼科中心眼病防治全国重点实验室广东省眼科视觉科学重点实验室

目的:建立和验证一个涉及多级临床场景的白内障协作通用的人工智能(artificial intelligence,AI)管理平台,探索基于AI的医疗转诊模式,以提高协作效率和资源覆盖率。方法:训练和验证的数据集来自中国AI医学联盟,涵盖多级医疗机构和采集... 详细信息

目的:建立和验证一个涉及多级临床场景的白内障协作通用的人工智能(artificial intelligence,AI)管理平台,探索基于AI的医疗转诊模式,以提高协作效率和资源覆盖率。方法:训练和验证的数据集来自中国AI医学联盟,涵盖多级医疗机构和采集模式。使用三步策略对数据集进行标记:1)识别采集模式;2)白内障诊断包括正常晶体眼、白内障眼或白内障术后眼;3)从病因和严重程度检测需转诊的白内障患者。此外,将白内障AI系统与真实世界中的居家自我监测、初级医疗保健机构和专科医院等多级转诊模式相结合。结果:通用AI平台和多级协作模式在三步任务中表现出可靠的诊断性能:1)识别采集模式的受试者操作特征(receiver operating characteristic curve,ROC)曲线下面积(area under the curve,AUC)为99.28%~99.71%);2)白内障诊断对正常晶体眼、白内障或术后眼,在散瞳-裂隙灯模式下的AUC分别为99.82%、99.96%和99.93%,其他采集模式的AUC均>99%;3)需转诊白内障的检测(在所有测试中AUC>91%)。在真实世界的三级转诊模式中,该系统建议30.3%的人转诊,与传统模式相比,眼科医生与人群服务比率大幅提高了10.2倍。结论:通用AI平台和多级协作模式显示了准确的白内障诊断性能和有效的白内障转诊服务。建议AI的医疗转诊模式扩展应用到其他常见疾病和资源密集型情景当中。

关键词：人工智能通用平台资源密集型协同管理采集模式专科医院眼科医生自我监测

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World Journal of Critical Care Medicine 2022年第4期11卷 236-245页

作者： Vincent Issac Lau Jeffrey A Johnson Sean M Bagshaw Oleksa G Rewa John Basmaji Kimberley A Lewis M Elizabeth Wilcox Kali Barrett Francois Lamontagne Francois Lauzier Niall D Ferguson Simon J W Oczkowski Kirsten M Fiest Daniel J Niven Henry T Stelfox Waleed Alhazzani Margaret Herridge Robert Fowler Deborah J Cook Bram Rochwerg Feng Xie Department of Critical Care Medicine University of AlbertaEdmonton T6G 2B7ABCanada School of Public Health Inst Hlth EconUniversity of AlbertaEdmonton T6G 2B7ABCanada Department of Medicine Division of Critical CareWestern UniversityLondon N6A 5W9Canada Division of Critical Care McMaster UniversityHamilton L8N 4A6Canada Interdepartmental Division of Critical Care University of TorontoToronto M5T 2S8Canada Department of Medicine University SherbrookeSherbrooke J1H 5N4Canada Departments of Medicine and Anesthesiology University LavalLaval G1V 4G2Canada Department Critical Care Medicine University of TorontoToronto M5G 2C4Canada Department of Medicine McMaster ClinHamilton Gen HospMcMaster UniversityHamilton L8N 4A6Canada Department of Community Health Sciences&Institute for Public Health University of CalgaryCalgary T2N 2T9Canada Department of Critical Care Medicine University CalgaryCalgary T2N 2T9Canada Department of Community Health Sciences University of CalgaryCalgary T2N 2T9Canada Department of Medicine McMaster UniversityHamilton L8N 4A6Canada Indepartmental Division of Critical Care University Health NetworkToronto M5G 2C4Canada Departments of Medicine and Critical Care Medicine Sunnybrook Health Sciences CenterInstitute of Health Policy Management and EvaluationUniversity of TorontoToronto M4N 3M5Canada Health Research Methods Evidence and ImpactMcMaster UniversityHamilton L8N 3Z5Canada

Mortality is a well-established patient-important outcome in critical care *** contrast,morbidity is less uniformly reported(given the myriad of critical care illnesses and complications of each)but may have a common end-impact on a patient’s functional capacity and health-related quality-of-life(HRQoL).Survival with a poor quality-of-life may not be acceptable depending on individual patient values and ***,as mortality decreases within critical care,it becomes increasingly important to measure intensive care unit(ICU)survivor *** measurements with a preference-based scoring algorithm can be converted into health utilities on a scale anchored at 0(representing death)and 1(representing full health).They can be combined with survival to calculate quality-adjusted life-years(QALY),which are one of the most widely used methods of combining morbidity and mortality into a composite *** QALYs have been use for health-technology assessment decision-making,an emerging and novel role would be to inform clinical decision-making for patients,families and healthcare providers about what expected HRQoL may be during and after ICU *** care randomized control trials(RCTs)have not routinely measured or reported HRQoL(until more recently),likely due to incapacity of some patients to participate in patient-reported outcome *** differences in HRQoL measurement tools can lead to non-comparable *** this end,we propose the validation of a gold-standard HRQoL tool in critical care,specifically the *** combined health-utility and mortality(disaggregated)and QALYs(aggregated)can be reported,with disaggregation allowing for determination of which components are the main drivers of the QALY *** use of HRQoL,health-utility,and QALYs in critical care RCTs has the potential to:(1)Increase the likelihood of finding important effects if they exist;(2)improve research efficiency;and(3)help inform optimal m

关键词： Critical care health-related quality of life Quality-adjusted life-years Health-utility Mortality Morbidity Kaplan-Meier curves

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颅外段颈动脉疾病筛查指南——美国神经影像学学会多学科实践指南委员会向医疗卫生专业人员的声明：血管和介入神经病学学会共同倡议

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国际脑血管病杂志 2007年第4期15卷 241-261页

作者： Adnan Ⅰ. Qureshi Andrei V. Alexandrov Charles H. Tegeler Robert W. Hobson Ⅱ J. Dennis Baker L. Nelson Hopkins 陈红兵（译）刘新峰（译） From the Zeenat Qareshi Stroke Research Certer University of Minnescta Mineapolis Minnescta Netrosonology and Stroke Research Program Barrow Netrological Institute Phoenix Arizom Department of Neurology Buwman Gray School of MedicineWinston SalemNorth Carolins CREST Administrative center University of Medicine and Dentistry of New JerseyNewarkNew Jersey Division of Vascular Surgery David Geffen School of Medicine at University of Califormia at Los AngelesLos AngelesCaliformia Department of Neurological Surgery University at BuffaloState University of New YorkBuffaloNew York 南京军区南京总医院神经内科 210002

这份新声明旨在普通人群和经过选择的患者亚群中针对无症状颈动脉狭窄的筛查提供全面和及时的循证推荐。这些推荐针对下列群体：普通人群中的高危者；接受心脏直视手术（包括冠状动脉旁路术）的患者；外周血管病、腹主动脉瘤和。肾动脉... 详细信息

这份新声明旨在普通人群和经过选择的患者亚群中针对无症状颈动脉狭窄的筛查提供全面和及时的循证推荐。这些推荐针对下列群体：普通人群中的高危者；接受心脏直视手术（包括冠状动脉旁路术）的患者；外周血管病、腹主动脉瘤和。肾动脉狭窄患者；头颈部恶性肿瘤放射治疗后患者；颈动脉内膜切除术或支架置入术后患者；视网膜缺血综合征患者；晕厥、头昏、眩晕或耳鸣患者；有血管病家族史和高同型半胱氨酸血症的患者。这些推荐是在患病率、预期益处和在经过选择的人群中来自其他专业组织的当前指南基础上做出的。

关键词：颈动脉颈动脉狭窄指南筛查成像多普勒超声

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