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注册号: Registration number: |
ChiCTR2600125599 |
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最近更新日期: Date of Last Refreshed on: |
2026-05-28 16:17:11 |
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注册时间: Date of Registration: |
2026-05-28 00:00:00 |
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注册号状态: |
预注册 |
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Registration Status: |
Prospective registration |
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注册题目: |
基于风险预警与主动脉球囊阻断的心脏骤停“识别一复苏一稳定”一体化救治策略的临床转化研究 |
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Public title: |
Clinical Translational Research on an Integrated Treatment Strategy for Cardiac Arrest:"Identification-Resuscitation-Stabilization" Based on Risk Warning and Aortic Balloon Occlusion |
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注册题目简写: |
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English Acronym: |
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研究课题的正式科学名称: |
基于风险预警与主动脉球囊阻断的心脏骤停“识别一复苏一稳定”一体化救治策略的临床转化研究 |
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Scientific title: |
Clinical Translational Research on an Integrated Treatment Strategy for Cardiac Arrest:"Identification-Resuscitation-Stabilization" Based on Risk Warning and Aortic Balloon Occlusion |
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研究课题代号(代码): Study subject ID: |
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在二级注册机构或其它机构的注册号: The registration number of the Partner Registry or other register: |
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申请注册联系人: |
闫圣涛 |
研究负责人: |
闫圣涛 |
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Applicant: |
Shengtao Yan |
Study leader: |
Shengtao Yan |
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申请注册联系人电话: Applicant telephone: |
+86 10 84205179 |
研究负责人电话:
Study leader's |
+86 10 84205179 |
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申请注册联系人传真 : Applicant Fax: |
研究负责人传真: Study leader's fax: |
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申请注册联系人电子邮件: Applicant E-mail: |
yanshengtaozrr@126.com |
研究负责人电子邮件: Study leader's E-mail: |
yanshengtaozrr@126.com |
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申请单位网址(自愿提供): Applicant website(voluntary supply): |
研究负责人网址(自愿提供): Study leader's website(voluntary supply): |
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申请注册联系人通讯地址: |
北京市朝阳区樱花园东街2号 |
研究负责人通讯地址: |
北京市朝阳区樱花园东街2号 |
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Applicant address: |
No. 2, Yingyuan Garden East Street, Chaoyang District, Beijing |
Study leader's address: |
No. 2, Yingyuan Garden East Street, Chaoyang District, Beijing |
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申请注册联系人邮政编码: Applicant postcode: |
研究负责人邮政编码: Study leader's postcode: |
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申请人所在单位: |
中日友好医院 |
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Applicant's institution: |
China-Japan friendship hospital |
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研究负责人所在单位: |
中日友好医院 |
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Affiliation of the Leader: |
China-Japan Friendship Hospital |
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是否获伦理委员会批准: |
是 |
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Approved by ethic committee: |
Yes |
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伦理委员会批件文号: Approved No. of ethic committee: |
2026-KY-173 |
伦理委员会批件附件: Approved file of Ethical Committee: |
查看附件View |
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批准本研究的伦理委员会名称: |
中日友好医院临床研究伦理委员会 |
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Name of the ethic committee: |
Clinical Research Ethics Committee of China-Japan Friendship Hospital |
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伦理委员会批准日期: Date of approved by ethic committee: |
2026-04-23 00:00:00 | ||
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伦理委员会联系人: |
闫旭 |
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Contact Name of the ethic committee: |
Yan Xu |
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伦理委员会联系地址: |
北京市朝阳区樱花园东街2号 |
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Contact Address of the ethic committee: |
No. 2, Yingyuan Garden East Street, Chaoyang District, Beijing |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 10 84206250 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
zryyec@126.com |
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研究实施负责(组长)单位: |
中日友好医院 |
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Primary sponsor: |
China-Japan Friendship Hospital |
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研究实施负责(组长)单位地址: |
北京市朝阳区樱花园东街2号 |
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Primary sponsor's address: |
No. 2, Yingyuan Garden East Street, Chaoyang District, Beijing |
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试验主办单位(项目批准或申办者): Secondary sponsor: |
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经费或物资来源: |
队列研究类项目-学科建设A类 |
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Source(s) of funding: |
Quota research project - Category A for discipline construction |
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研究疾病: |
无 |
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Target disease: |
None |
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研究疾病代码: |
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Target disease code: |
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研究类型: |
观察性研究 |
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Study type: |
Observational study |
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研究所处阶段: |
其它 | ||||||||||||||||||||||
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Study phase: |
N/A |
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研究设计: |
连续入组 |
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Study design: |
Sequential |
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研究目的: |
1. 构建标准化多模态专病数据库:在现有大规模急诊高危患者队列基础上,前瞻性整合心电高频 QRS(HF-QRS)电生理信号,形成国内首个深度融合高频心电特征与完备临床信息的 CA 专病数据库,为模型研发奠定高质量数据基石。 2.研发高性能智能预警融合模型:基于上述数据库,利用先进机器学习算法,构建并优化融合 HF-QRS 特征与多维度临床数据的 CA 风险预测模型,核心目标是在独立验证中实现预测效能(AUC)的显著提升,突破现有预警工具的性能平台。 3.开发并验证智能临床决策支持系统:将最优预警模型通过前瞻性、多中心临床试点研究,验证其在真实世界环境中的可行性、安全性及有效性。 |
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Objectives of Study: |
1. Build a standardized multi-modal disease-specific database: Based on the existing large-scale emergency high-risk patient cohort, we will prospectively integrate high-frequency QRS (HF-QRS) electrophysiological signals to form the first CA disease-specific database in China that deeply integrates high-frequency electrocardiogram features with complete clinical information, laying a high-quality data foundation for model development. 2. Develop a high-performance intelligent early warning fusion model: Based on the aforementioned database, using advanced machine learning algorithms, we will construct and optimize a CA risk prediction model that integrates HF-QRS features and multi-dimensional clinical data. The core objective is to achieve a significant improvement in prediction efficacy (AUC) in independent validation, breaking through the performance platform of existing early warning tools. 3. Develop and validate an intelligent clinical decision support system: Through prospective, multi-center clinical pilot studies, we will verify the feasibility, safety, and effectiveness of the optimal early warning model in the real-world environment. |
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药物成份或治疗方案详述: |
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Description for medicine or protocol of treatment in detail: |
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纳入标准: |
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Inclusion criteria |
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排除标准: |
1.年龄 < 18 周岁; 2.拒绝入抢,或参加临床试验的患者; 3.院外心脏骤停患者; 4.妊娠患者 |
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Exclusion criteria: |
1. Age<18 years old; 2. Patients who refuse to enter or participate in clinical trials; 3. Outpatient cardiac arrest patients; 4. Pregnant patients |
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研究实施时间: Study execute time: |
从 From 2026-02-01 00:00:00至 To 2028-01-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2026-05-29 00:00:00 至 To 2027-07-31 00:00:00 |
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干预措施: Interventions: |
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研究实施地点: Countries of recruitment and research settings: |
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测量指标: Outcomes: |
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采集人体标本:
Collecting sample(s)
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征募研究对象情况: Recruiting status: |
尚未开始 Not yet recruiting |
年龄范围: Participant age: |
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性别: |
男女均可 |
Gender: |
Both |
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随机方法(请说明由何人用什么方法产生随机序列): |
无 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
None |
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是否公开试验完成后的统计结果: Calculated Results after the Study Completed public access: |
不公开/Private |
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盲法: |
无 |
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Blinding: |
None |
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是否共享原始数据: IPD sharing |
否No |
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共享原始数据的方式(说明:请填入公开原始数据日期和方式,如采用网络平台,需填该网络平台名称和网址): |
无 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
None |
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数据采集和管理(说明:数据采集和管理由两部分组成,一为病例记录表(Case Record Form, CRF),二为电子采集和管理系统(Electronic Data Capture, EDC),如ResMan即为一种基于互联网的EDC: |
EDC |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
EDC |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
无/No |