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Multidimensional dynamic prediction model for hospitalized patients with the omicron variant in china

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Infectious Disease Modelling 2023年第4期8卷 1097-1107页

作者： Yujie Chen Yao Wang Jieqing Chen Xudong Ma Longxiang Su Yuna Wei Linfeng Li Dandan Ma Feng Zhang Wen Zhu Xiaoyang Meng Guoqiang Sun Lian Ma Huizhen Jiang Chang Yin Taisheng Li Xiang Zhou china national critical care quality control center group Department of critical care Medicine Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100730China Yidu Cloud Technology Inc. BeijingChina Information center Department State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical SciencesBeijing100730China Department of Medical Administration National Health Commission of the People's Republic of ChinaBeijing100044China Information center State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100730China Department of Infectious Diseases Peking Union Medical College HospitalChinese Academy of Medical SciencesBeijingChina national Institute of Hospital Administration BeijingChina

Purpose:To establish dynamic prediction models by machine learning using daily multidimensional data for coronavirus disease 2019(COVID-19)***:Hospitalized COVID-19 patients at Peking Union Medical College Hospital from Nov 2nd,2022,to Jan 13th,2023,were enrolled in this *** outcome was defined as deterioration or recovery of the patient's ***,comorbidities,laboratory test results,vital signs,and treatments were used to train the *** predict the following days,a separate XGBoost model was trained and *** Shapley additive explanations method was used to analyze feature ***:A total of 995 patients were enrolled,generating 7228 and 3170 observations for each prediction *** the deterioration prediction model,the minimum area under the receiver operating characteristic curve(AUROC)for the following 7 days was 0.786(95%CI 0.721-0.851),while the AUROC on the next day was 0.872(0.831-0.913).In the recovery prediction model,the minimum AUROC for the following 3 days was 0.675(0.583-0.767),while the AUROC on the next day was 0.823(0.770-0.876).The top 5 features for deterioration prediction on the 7th day were disease course,length of hospital stay,hypertension,and diastolic blood *** for recovery prediction on the 3rd day were age,D-dimer levels,disease course,creatinine levels and corticosteroid ***:The models could accurately predict the dynamics of Omicron patients’conditions using daily multidimensional variables,revealing important features including comorbidities(e.g.,hyperlipidemia),age,disease course,vital signs,D-dimer levels,corticosteroid therapy and oxygen therapy.

关键词： COVID-19 Omicron Prediction model Machine learning

Association between ICU quality and in-hospital mortality of V-V ECMO-supported patients—the ECMO quality improvement action(EQIA)study:a national cohort study in china from 2017 to 2019

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Frontiers of Medicine 2024年第2期18卷 315-326页

作者： Wei Cheng Jieqing Chen Xudong Ma Jialu Sun Sifa Gao Ye Wang Longxiang Su Lu Wang Wei Du Huaiwu He Yujie Chen Zunzhu Li Qi Li Jianhua Sun Hongbo Luo Jinbang Liu Guangliang Shan Bing Du Yanhong Guo Dawei Liu Chang Yin Xiang Zhou on behalf of the china national critical care quality control center-the ECMO quality improvement action(EQIA)study Department of critical care Medicine State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing100730China Information center Department/Department of Information Management State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalPeking Union Medical College&Chinese Academy of Medical SciencesBeijing100730China Department of Medical Administration National Health Commission of the People’s Republic of ChinaBeijing100044China School of Population Medicine and Public Health Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100730China Department of Epidemiology and Biostatistics Institute of Basic Medicine SciencesChinese Academy of Medical Sciences(CAMS)&School of Basic MedicinePeking Union Medical CollegeBeijing100730China national Institute of Hospital Administration National Health Commission of the People’s Republic of ChinaBeijing100044China 不详

This cohort study was performed to explore the influence of intensive care unit(ICU)quality on in-hospital mortality of veno-venous(V-V)extracorporeal membrane oxygenation(ECMO)-supported patients in *** study involved all V-V ECMO-supported patients in 318 of 1700 tertiary hospitals from 2017 to 2019,using data from the national Clinical Improvement System and china national critical care quality control *** quality was assessed by quality control indicators and capacity *** the 2563 V-V ECMO-supported patients in 318 hospitals,a significant correlation was found between ECMO-related complications and *** reintubation rate within 48 hours after extubation and the total ICU mortality rate were independent risk factors for higher in-hospital mortality of V-V ECMO-supported patients(cutoff:1.5%and 7.0%;95%confidence interval:1.05–1.48 and 1.04–1.45;odds ratios:1.25 and 1.23;P=0.012 and P=0.015,respectively).Meanwhile,the V-V ECMO center volume was a protective factor(cutoff of≥50 cases within the 3-year study period;95%confidence interval:0.57–0.83,odds ratio:0.69,P=0.0001).The subgroup analysis of 864 patients in 11 high-volume centers further strengthened these ***,ICU quality may play an important role in improving the prognosis of V-V ECMO-supported patients.

关键词： veno-venous extracorporeal membrane oxygenation in-hospital mortality high-volume centers quality control intensive care unit capacity parameters

Chinese expert consensus on sedation and analgesia for neurocritical care patients

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Chinese Medical Journal 2024年第11期137卷 1261-1263页

作者： Linlin Zhang Shuai Liu Shuya Wang Jian-Xin Zhou the national center for Healthcare quality Management in Neurological Diseases Chinese Society of critical care Medicine Working group of the Expert Consensus on Sedation and Analgesia for Neurocritical care Patients Department of critical care Medicine Beijing Tiantan HospitalCapital Medical UniversityBeijing 100070China Department of critical care Medicine Beijing Shijitan HospitalCapital Medical UniversityBeijing 100038China 不详

Sedation and analgesia therapy are essential in neurocritical care,but there are ongoing controversies surrounding assessment,administration,and *** advances in neurocritical care medicine,updated evidence-based medicine,considering the variability in knowledge and practice,the national center for Healthcare quality Management in Neurological Diseases and the Chinese Society of critical care Medicine organized experts in neurocritical care to form a working group[Supplementary File 1,http://***/CM9/B958]to update the“Expert Consensus on Sedation and Analgesia for Patients with Severe Brain Injury(2013)”.

关键词： analgesia critical advances

Real-World Treatment Adherence to Smoking Cessation Medications and Association with Treatment Outcome—27 centers,china,2017–2022

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china CDC weekly 2024年第22期6卷 522-529,I0001-I0003页

作者： Anqi Cheng Zhao Liu Xinmei Zhou Zheng Su Dan Xiao Chen Wang the china national Tobacco Cessation Cohort Study(CNTCCS)Study group Department of Tobacco control and Prevention of Respiratory Disease Center of Respiratory MedicineChina-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/National Center for Respiratory Medicine/National Clinical Research Center for Respiratory Diseases/Institute of Respiratory MedicineChinese Academy of Medical SciencesBeijingChina Department of Pulmonary and critical care Medicine Center of Respiratory MedicineChina-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/China National Center for Respiratory Medicine/China National Clinical Research Center for Respiratory DiseasesBeijingChina Chinese Academy of Medical Sciences and Peking Union Medical College BeijingChina 不详

What is already known about this topic?Medication non-adherence significantly impedes smoking cessation *** effective smoking cessation medications are accessible in china,realworld adherence and its correlation with treatment outcomes remain largely *** is added by this report?From December 2017 to January 2022,1,120 participants were recruited from 27 centers in all seven geographical regions of *** revealed that only 38.2%of smokers adhered to the prescribed 12-week smoking cessation treatment and those with a higher education level were more likely to be *** addition,smokers with good adherence were more likely to successfully quit *** are the implications for public health practice?The data obtained could enhance our understanding of smoking cessation practices in *** adherence is a crucial strategy to enhance the effectiveness of smoking cessation treatments and management provided to smokers.

关键词： china smoke likely

Analysis of factors influencing 3-and 6-h compliance with the surviving sepsis campaign guidelines based on medical-quality intensive care unit data from china

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Chinese Medical Journal 2021年第14期134卷 1747-1749页

作者： Lu Wang Xu-Dong Ma Huai-Wu He Long-Xiang Su Yan-Hong Guo Guang-Liang Shan Xiang Zhou Da-Wei Liu Yun Long 无 Department of critical care Medicine Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical SciencesBeijing 100730China State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100730China Department of Medical Administration National Health Commission of the People’s Republic of ChinaBeijing 100044China Department of Epidemiology and Biostatistics Institute of Basic Medicine SciencesChinese Academy of Medical Sciences(CAMS)&School of Basic MedicinePeking Union Medical CollegeBeijing 100730China. china national critical care quality control center group

To the Editor:In the past decades,there were at least 31.5 million sepsis patients *** these patients,5.3 million sepsis patients face death every year.[1]Studies have shown the mortality from sepsis can be reduced by compliance with the surviving sepsis campaign guidelines(C_(ssc)).[2]Compliance with guidelines depends on the execution of the medical *** assume that the medical quality of the intensive care unit(Q_(ICU))will have an important impact on the C_(ssc).

关键词： campaign assume quality

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创伤中心医疗质量控制指标专家共识

北京大学学报（医学版） 2024年第3期56卷 551-554,F0003页

作者：黄伟许庭珉王天兵姜保国国家创伤医学中心医疗质量控制专业委员会北京大学人民医院国家创伤医学中心北京100044

创伤是全世界的重大公共卫生问题,是45岁以下人群第1位的死亡原因,也是我国城乡居民的五大死因之一。创伤救治体系的建设是提高患者生存率的关键,完善的创伤救治体系能够确保患者迅速得到专业医疗救助,创伤中心的建设能够改善创伤救治... 详细信息

创伤是全世界的重大公共卫生问题,是45岁以下人群第1位的死亡原因,也是我国城乡居民的五大死因之一。创伤救治体系的建设是提高患者生存率的关键,完善的创伤救治体系能够确保患者迅速得到专业医疗救助,创伤中心的建设能够改善创伤救治效果。目前,我国不同地区的创伤救治质量大不相同,对创伤救治的医疗过程采用全面质量管理和对创伤的现场救援、院前急救和院内治疗进行标准化控制,是提高创伤救治能力水平和创伤患者生存率的重要措施。医疗质量控制指标作为医疗全面质量管理的关键因素,其可以引领创伤中心发展的方向。为进一步加强创伤救治的医疗质量管理,规范临床诊疗行为,促进医疗服务的标准化、同质化,国家创伤医学中心医疗质量控制专业委员会结合国内创伤救治现状,对国家卫生健康委员会2018年发布的《关于进一步提升创伤救治能力的通知》中创伤中心医疗质量的16项控制指标进行了细化和更新,制定了新版19项质量控制指标,包含名称、定义、计算方式、意义、质量控制对象等,供各级创伤中心在医疗质量管理工作中使用,为创伤中心的质量控制工作提供可循路径。实施这些质量控制指标能够引导医疗机构对创伤救治的各个环节进行严格监控和评估,并及时解决存在的问题;同时,这些指标可以提升机构内部协作效率,加强相关科室之间的沟通和协作,从而提高创伤救治的效率与水平。

关键词：创伤关键指标质量控制共识

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中国阿尔茨海默病蓝皮书(精简版)

中华医学杂志 2024年第29期104卷 2701-2727页

作者：首都医科大学宣武医院国家神经疾病医学中心中国疾病预防控制中心慢性非传染性疾病预防控制中心国家卫生健康委能力建设和继续教育中心中国人口与发展研究中心《中国阿尔茨海默病蓝皮书》项目组首都医科大学宣武医院国家神经疾病医学中心中国疾病预防控制中心慢性非传染性疾病预防控制中心国家卫生健康委能力建设和继续教育中心中国人口与发展研究中心《中国阿尔茨海默病蓝皮书》项目组

随着中国人口老龄化程度不断加重, 阿尔茨海默病(AD)在我国的患病率和死亡率均不断上升, 已成为严重危害人民群众健康和影响社会可持续发展的重大疾病之一。为响应健康中国行动, 提高国民健康水平, 促进健康发展, 首都医科大学宣武医院... 详细信息

随着中国人口老龄化程度不断加重, 阿尔茨海默病(AD)在我国的患病率和死亡率均不断上升, 已成为严重危害人民群众健康和影响社会可持续发展的重大疾病之一。为响应健康中国行动, 提高国民健康水平, 促进健康发展, 首都医科大学宣武医院国家神经疾病医学中心、中国疾病预防控制中心慢性非传染性疾病预防控制中心、国家卫生健康委能力建设和继续教育中心、中国人口与发展研究中心等单位专家和学者联合编写《中国阿尔茨海默病蓝皮书(精简版)》(简称蓝皮书)。蓝皮书系统回顾了目前中国AD及其他认知障碍疾病的流行病学特征、诊疗现状、防治管理等情况, 旨在为人群AD疾病预防提供依据、为疾病规范化诊疗提供支持、为政府制定相关卫生政策提供参考。蓝皮书主要包括AD及其他认知障碍疾病的以下内容:(1)流行病学特征;(2)经济负担;(3)影响因素;(4)中国脑认知健康指数;(5)诊断现状;(6)治疗现状;(7)认知障碍诊疗中心建设;(8)社区防治;(9)AD患者的照料;(10)防治的公共卫生资源。

关键词：阿尔茨海默病流行病学诊断现状治疗现状社区防治照料负担

Expert consensus on the clinical application of antibody‐drug conjugates in the treatment of malignant tumors(2021 edition)

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Cancer Innovation 2022年第1期1卷 3-24页

作者： Professional Committee on Clinical Research of Oncology Drugs,Chinese Anti‐Cancer Association Expert Committee for Monitoring the Clinical Application of Antitumor Drugs Breast Cancer Expert Committee of national Cancer quality control center| Cancer Chemotherapy quality control Expert Committee of Beijing Cancer Treatment quality control and Improvement center Fei Ma Binghe Xu 不详 Department of Medical Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China DepartmentofMedical Oncology andClinicalTrialcenter National CancerCenter/NationalClinical Research CenterforCancer/Cancer HospitalChineseAcademyofMedical Sciences andPekingUnionMedical CollegeBeijing100021China

Antibody‐drug conjugates(ADCs)are targeted biological agents composed of a cytotoxic drug linked to a monoclonal antibody through a *** monoclonal antibody targets tumor cells and transports small‐molecule cytotoxic drugs for specific delivery and minimal off‐target side *** is necessary for clinicians to understand the molecular characteristics and mechanisms of ***'survival mainly depends on the appropriate dose and course of treatment and also on proper management of adverse *** consensus provides a systematic review of commercially available ADCs and further discusses the clinical application and management of ADCs.

关键词： malignant tumors antibody‐drug conjugates monoclonal antibodies cytotoxic drugs safety management

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脑出血医疗质量控制指标

中国卒中杂志 2024年第1期19卷 44-49页

作者：国家神经系统疾病医疗质量控制中心脑血管病质控专病组中国卒中学会医疗质量管理与促进分会董强赵性泉王晶李子孝不详复旦大学附属华山医院神经内科上海200040 首都医科大学附属北京天坛医院神经病学中心首都医科大学附属北京天坛医院

国家神经系统疾病医疗质量控制中心脑血管病质控专病组联合中国卒中学会医疗质量管理与促进分会,通过系统回顾循证医学证据和国内外指南,广泛征询脑血管病相关临床、康复和科研领域的专家意见,制定了脑出血医疗质量控制指标体系。该指... 详细信息

国家神经系统疾病医疗质量控制中心脑血管病质控专病组联合中国卒中学会医疗质量管理与促进分会,通过系统回顾循证医学证据和国内外指南,广泛征询脑血管病相关临床、康复和科研领域的专家意见,制定了脑出血医疗质量控制指标体系。该指标体系涵盖脑出血的急性期救治、病因和并发症的筛查、康复及长期管理等不同方面,以率的形式对脑出血诊疗全周期的质量控制进行量化评估,有利于我国脑出血诊疗工作的规范性和同质性建设。

关键词：脑出血医疗质量质量控制指标