基于机器学习的急性酒精中毒诊断及风险分层模型研究

注册号:

Registration number:

ChiCTR2600126236 

最近更新日期:

Date of Last Refreshed on:

2026-06-05 11:20:35 

注册时间:

Date of Registration:

2026-06-05 00:00:00 

注册号状态:

预注册

Registration Status:

Prospective registration

注册题目:

基于机器学习的急性酒精中毒诊断及风险分层模型研究

Public title:

Study on Machine Learning-Based Diagnosis and Risk Stratification Model for Acute Alcohol Intoxication

注册题目简写:

English Acronym:

研究课题的正式科学名称:

基于机器学习的急性酒精中毒诊断及风险分层模型研究

Scientific title:

Study on Machine Learning-Based Diagnosis and Risk Stratification Model for Acute Alcohol Intoxication

研究课题代号(代码):

Study subject ID:

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:

申请注册联系人:

蔡凌虎 

研究负责人:

向强 

Applicant:

Cai Linghu  

Study leader:

Xiang Qiang 

申请注册联系人电话:

Applicant telephone:

+86 17602381512

研究负责人电话:

Study leader's
telephone:

+86 23 68765650

申请注册联系人传真 :

Applicant Fax:

研究负责人传真:

Study leader's fax:

申请注册联系人电子邮件:

Applicant E-mail:

linghu_cai@tmmu.edu

研究负责人电子邮件:

Study leader's E-mail:

xqiang163@163.com

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):

申请注册联系人通讯地址:

重庆市沙坪坝区高滩岩正街29号

研究负责人通讯地址:

重庆市沙坪坝区高滩岩正街29号

Applicant address:

No 29 Gaotanyan Main Street, Shapingba District, Chongqing

Study leader's address:

No 29 Gaotanyan Main Street, Shapingba District, Chongqing

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:

申请人所在单位:

陆军军医大学第一附属医院

Applicant's institution:

The First Affiliated Hospital of Army Medical University

研究负责人所在单位:

中国人民解放军陆军军医大学第一附属医院

Affiliation of the Leader:

The First Affiliated Hospital of Army Medical University

是否获伦理委员会批准:

Approved by ethic committee:

Yes

伦理委员会批件文号:

Approved No. of ethic committee:

(B)KY2026109

伦理委员会批件附件:

Approved file of Ethical Committee:

查看附件View

批准本研究的伦理委员会名称:

中国人民解放军陆军军医大学第一附属医院伦理委员会

Name of the ethic committee:

Ethics Committee of the First Affiliated Hospital of Army Medical University PLA

伦理委员会批准日期:

Date of approved by ethic committee:

2026-03-26 00:00:00

伦理委员会联系人:

贺莉

Contact Name of the ethic committee:

He Li

伦理委员会联系地址:

重庆市沙坪坝区高滩岩正街29号

Contact Address of the ethic committee:

No 29 Gaotanyan Main Street, Shapingba District, Chongqing

伦理委员会联系人电话:

Contact phone of the ethic committee:

+86 23 68754035

伦理委员会联系人邮箱:

Contact email of the ethic committee:

cqhl13@qq.com

研究实施负责(组长)单位:

中国人民解放军陆军军医大学第一附属医院

Primary sponsor:

The First Affiliated Hospital of Army Medical University

研究实施负责(组长)单位地址:

重庆市沙坪坝区高滩岩正街29号

Primary sponsor's address:

No 29 Gaotanyan Main Street, Shapingba District, Chongqing

试验主办单位(项目批准或申办者):

Secondary sponsor:

国家:

中国

省(直辖市):

重庆市

市(区县):

Country:

China

Province:

Chongqing

City:

单位(医院):

中国人民解放军陆军军医大学第一附属医院

具体地址:

重庆市沙坪坝区高滩岩正街29号

Institution
hospital:

The First Affiliated Hospital of Army Medical University

Address:

No 29 Gaotanyan Main Street, Shapingba District, Chongqing

经费或物资来源:

自选课题(自筹)

Source(s) of funding:

Self selected topic (self funded)

研究疾病:

急性酒精中毒  

Target disease:

Acute alcohol intoxication, symptoms

研究疾病代码:

Target disease code:

研究类型:

观察性研究

Study type:

Observational study

研究所处阶段:

其它 

Study phase:

N/A

研究设计:

病例对照研究 

Study design:

Case-Control study 

研究目的:

本研究旨在基于多中心急诊临床数据,利用机器学习方法整合常规临床指标,构建并验证一种用于急性酒精中毒早期识别的辅助诊断和风险分层模型,以提高急诊环境中诊断的准确性和效率。  

Objectives of Study:

This study aims to use multicenter emergency clinical data and machine learning methods to integrate routine clinical indicators, and to construct and validate an auxiliary diagnostic and risk stratification model for the early identification of acute alcohol intoxication, in order to improve the accuracy and efficiency of diagnosis in the emergency setting.

药物成份或治疗方案详述:

 

Description for medicine or protocol of treatment in detail:

 

纳入标准:

Inclusion criteria

排除标准:

1.合并严重创伤(如严重颅脑损伤或多发伤),可能明显影响实验室指标; 2.明确存在其他毒物或药物中毒(如镇静催眠药、农药或毒品中毒); 3.既往存在严重肝功能衰竭、终末期肾病或其他严重基础疾病,可能影响研究指标; 4.关键临床数据缺失严重,无法进行统计分析; 5.妊娠期患者; 6.就诊前曾在外院接受诊治。

Exclusion criteria:

1. Severe combined trauma (such as severe craniocerebral injury or multiple injuries) that may significantly affect laboratory indicators; 2. Clear presence of other toxins or drug poisoning (such as sedative-hypnotic drugs, pesticides, or drug abuse); 3. History of severe liver failure, end-stage renal disease, or other serious underlying diseases that may affect study indicators; 4. Critical clinical data are seriously missing, making statistical analysis impossible; 5. Pregnant patients; 6. Patients who received diagnosis and treatment at another hospital before visiting;

研究实施时间:

Study execute time:

From 2026-06-20 00:00:00 To 2028-05-20 00:00:00  

征募观察对象时间:

Recruiting time:

From 2026-06-20 00:00:00 To 2026-06-20 00:00:00

干预措施:

Interventions:

组别:

非急性酒精中毒组

样本量:

5600

Group:

Non-acute alcohol intoxication group

Sample size:

干预措施:

干预措施代码:

Intervention:

None

Intervention code:

组别:

急性酒精中毒组

样本量:

2400

Group:

Acute alcohol intoxication group

Sample size:

干预措施:

干预措施代码:

Intervention:

None

Intervention code:

研究实施地点:

Countries of recruitment and research settings:

国家:

中国

省(直辖市):

重庆市 

市(区县):

 

Country:

China

Province:

Chongqing

City:

单位(医院):

中国人民解放军陆军军医大学第一附属医院 

单位级别:

三级甲等 

Institution
hospital:

The First Affiliated Hospital of Army Medical University

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

重庆市 

市(区县):

 

Country:

China

Province:

Chongqing

City:

单位(医院):

重庆市沙坪坝区人民医院 

单位级别:

三级甲等 

Institution
hospital:

People's Hospital of Shapingba District, Chongqing

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

重庆市 

市(区县):

 

Country:

China

Province:

Chongqing

City:

单位(医院):

重庆市第五人民医院 

单位级别:

三级甲等 

Institution
hospital:

The Fifth People’s Hospital of Chongqing

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

重庆市 

市(区县):

 

Country:

China

Province:

Chongqing

City:

单位(医院):

中国人民解放军陆军特色医学中心 

单位级别:

三级甲等 

Institution
hospital:

PLA Army Specialty Medical Center

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

重庆市 

市(区县):

 

Country:

China

Province:

Chongqing

City:

单位(医院):

重庆医科大学附属大学城医院 

单位级别:

三级甲等 

Institution
hospital:

University Town Hospital Affiliated to Chongqing Medical University

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

重庆市 

市(区县):

 

Country:

China

Province:

Chongqing

City:

单位(医院):

重庆大学附属涪陵医院 

单位级别:

三级甲等 

Institution
hospital:

Fuling Hospital Affiliated to Chongqing University

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

重庆市 

市(区县):

 

Country:

China

Province:

Chongqing

City:

单位(医院):

重庆市永川区人民医院 

单位级别:

三级甲等 

Institution
hospital:

Yongchuan District People's Hospital, Chongqing

Level of the institution:

Tertiary A

测量指标:

Outcomes:

指标中文名:

受试者工作特征曲线下面积(AUC)

指标类型:

主要指标

Outcome:

Area Under the Curve (AUC)

Type:

Primary indicator

测量时间点:

测量方法:

基于测试集数据,通过机器学习模型预测结果绘制ROC曲线,计算AUC值

Measure time point of outcome:

Measure method:

Calculated from ROC curve based on predictions from machine learning models on the test set

指标中文名:

灵敏度与特异度

指标类型:

次要指标

Outcome:

Sensitivity and Specificity

Type:

Secondary indicator

测量时间点:

测量方法:

基于混淆矩阵计算

Measure time point of outcome:

Measure method:

Calculated from confusion matrix

指标中文名:

准确率与F1值

指标类型:

次要指标

Outcome:

Accuracy and F1-score

Type:

Secondary indicator

测量时间点:

测量方法:

基于混淆矩阵计算

Measure time point of outcome:

Measure method:

Calculated from confusion matrix

采集人体标本:

Collecting sample(s)
from participants:

标本中文名:

组织:

Sample Name:

NA

Tissue:

人体标本去向

其它  

说明

Fate of sample:

0thers  

Note:

征募研究对象情况:

Recruiting status:

尚未开始

Not yet recruiting

年龄范围:

Participant age:

最小 Min age 18 years
最大 Max age 65 years

性别:

男女均可

Gender:

Both

随机方法(请说明由何人用什么方法产生随机序列):

Randomization Procedure (please state who generates the random number sequence and by what method):

None

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

盲法:

Blinding:

None

是否共享原始数据:

IPD sharing

否No

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):

在合理条件下,可向本项目负责人处获取原始数据。

The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url):

Under reasonable conditions, the original data can be obtained from the project leader.

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:

电子采集和信息系统采集。

Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture:

Electronic collection and information system collection。

数据与安全监察委员会:

Data and Safety Monitoring Committee:

有/Yes

注册人:

Name of Registration:

 2026-06-05 11:20:19