利用深度学习方法构建重症患者ARDS发病风险及严重程度预测模型和评估工具

注册号:

Registration number:

ChiCTR2200058700 

最近更新日期:

Date of Last Refreshed on:

2022-12-24 21:30:18 

注册时间:

Date of Registration:

2022-04-14 00:00:00 

注册号状态:

预注册

Registration Status:

Prospective registration

注册题目:

利用深度学习方法构建重症患者ARDS发病风险及严重程度预测模型和评估工具

Public title:

Using deep learning methods to build ARDS risk and severity prediction models and assessment tools in critically ill patients

注册题目简写:

English Acronym:

研究课题的正式科学名称:

利用深度学习方法构建重症患者ARDS发病风险及严重程度预测模型和评估工具

Scientific title:

Using deep learning methods to build ARDS risk and severity prediction models and assessment tools in critically ill patients

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:

周洋 

研究负责人:

皋源 

Applicant:

Zhou Yang 

Study leader:

Gao Yuan 

申请注册联系人电话:

Applicant telephone:

+86 18255218452

研究负责人电话:

Study leader's
telephone:

+86 13651672480

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:

492545176@qq.com

研究负责人电子邮件:

Study leader's E-mail:

gaoyuanzhuren@126.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:

上海市浦东新区浦建路160号

研究负责人通讯地址:

上海市浦东新区浦建路160号

Applicant address:

160 Pujian Road, Pudong New Area, Shanghai

Study leader's address:

160 Pujian Road, Pudong New Area, Shanghai

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:

上海交通大学附属仁济医院

Applicant's institution:

Renji Hospital Affiliated to Shanghai Jiaotong University

研究负责人所在单位:

上海交通大学附属仁济医院

Affiliation of the Leader:

Renji Hospital Affiliated to Shanghai Jiaotong 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:

KY2021-247-B

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:

上海交通大学医学院附属仁济医院伦理委员会

Name of the ethic committee:

Shanghai Jiaotong University School of Medicine, Renji Hospital Ethics Committee

伦理委员会批准日期:

Date of approved by ethic committee:

2021-12-13 00:00:00

伦理委员会联系人:

陆麒

Contact Name of the ethic committee:

Lu Qi

伦理委员会联系地址:

上海市浦东新区浦建路160号

Contact Address of the ethic committee:

160 Pujian Road, Pudong New Area, Shanghai

伦理委员会联系人电话:

Contact phone of the ethic committee:

伦理委员会联系人邮箱:

Contact email of the ethic committee:

研究实施负责(组长)单位:

上海交通大学附属仁济医院

Primary sponsor:

Renji Hospital Affiliated to Shanghai Jiaotong University

研究实施负责(组长)单位地址:

上海市浦东新区浦建路160号

Primary sponsor's address:

160 Pujian Road, Pudong New Area, Shanghai

试验主办单位(项目批准或申办者):

Secondary sponsor:

国家:

中国

省(直辖市):

上海

市(区县):

浦东新区

Country:

China

Province:

Shanghai

City:

Pudong New Area

单位(医院):

上海交通大学附属仁济医院

具体地址:

上海市浦东新区浦建路160号

Institution
hospital:

Renji Hospital Affiliated to Shanghai Jiaotong University

Address:

160 Pujian Road, Pudong New Area, Shanghai

经费或物资来源:

上海交通大学医学院附属仁济医院临床科研创新培育基金(RJPY-DZX-008)

Source(s) of funding:

Shanghai Jiaotong University School of Medicine Affiliated Renji Hospital Clinical Research Innovation Cultivation Fund (RJPY-DZX-008)

研究疾病:

急性呼吸窘迫综合征  

Target disease:

Acute respiratory distress syndrome

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:

回顾性研究 

Study phase:

Retrospective study

研究设计:

队列研究 

Study design:

Cohort study 

研究目的:

主要研究目的: 1. 整合各参与研究医院的患者临床信息并将其纳入到一个统一规范化的数据库中,促进对于特定疾病类型患者的认识,促进病人的院内诊疗和管理。 2. 采用深度学习技术分析ICU内患者的临床数据以及CT图像数据,建立ARDS发病风险及严重程度预测模型和评估工具。 3. 建立一个可供临床医师使用的针对ARDS早期诊断和严重程度分析预测的应用软件,为实际临床决策提供一个快速便捷的参考。  

Objectives of Study:

Main research purposes: 1. Integrate the clinical information of patients in participating hospitals and incorporate it into a unified and standardized database, promote the understanding of patients with specific disease types, and facilitate in-hospital diagnosis and management of patients. 2. Use deep learning technology to analyze the clinical data and CT image data of patients in the ICU, and establish ARDS risk and severity prediction models and assessment tools. 3. Establish an application software for early diagnosis and severity analysis and prediction of ARDS that can be used by clinicians to provide a quick and convenient reference for actual clinical decision-making.

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. 年龄小于18周岁;
2. ICU 住院时长小于24小时;
3. 患者已经参与其他临床研究;
4. 患者或其家属拒绝参加者。

Exclusion criteria:

1. The age is less than 18 years old;
2. The length of stay in the ICU is less than 24 hours;
3. The patient has participated in other clinical studies;
4. The patient or his family refuses to participate.

研究实施时间:

Study execute time:

From 2021-12-01 00:00:00 To 2024-11-01 00:00:00  

征募观察对象时间:

Recruiting time:

From 2023-07-01 00:00:00 To 2024-03-01 00:00:00

干预措施:

Interventions:

组别:

急性窘迫综合症患者组

样本量:

300

Group:

Acute distress syndrome patient group

Sample size:

干预措施:

无(回顾观察性研究无干预措施)

干预措施代码:

Intervention:

None

Intervention code:

组别:

急性窘迫综合症患者组

样本量:

300

Group:

Acute distress syndrome patient group

Sample size:

干预措施:

无(前瞻观察性研究无干预措施)

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):

上海 

市(区县):

浦东新区 

Country:

China

Province:

Shanghai

City:

Pudong New Area

单位(医院):

上海交通大学附属仁济医院 

单位级别:

三甲 

Institution
hospital:

Renji Hospital Affiliated to Shanghai Jiaotong University

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

上海 

市(区县):

徐汇 

Country:

China

Province:

Shanghai

City:

Xuhui

单位(医院):

上海市第六人民医院 

单位级别:

三甲 

Institution
hospital:

Shanghai Sixth People's Hospital

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

上海 

市(区县):

金山 

Country:

China

Province:

Shanghai

City:

Jinshan

单位(医院):

上海市公共卫生临床中心 

单位级别:

三甲 

Institution
hospital:

Shanghai Public Health Clinical Center

Level of the institution:

Tertiary A

测量指标:

Outcomes:

指标中文名:

患者基本信息

指标类型:

次要指标

Outcome:

Basic patient information

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

一般临床信息

指标类型:

次要指标

Outcome:

General clinical information

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

CT 影像学检查结果

指标类型:

次要指标

Outcome:

CT imaging findings

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

血常规

指标类型:

次要指标

Outcome:

Blood routine examination

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

血生化

指标类型:

次要指标

Outcome:

Biochemical detection

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

C-反应蛋白

指标类型:

次要指标

Outcome:

C-reactive protein

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

血沉

指标类型:

次要指标

Outcome:

ESR

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

降钙素原

指标类型:

次要指标

Outcome:

PCT

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

采集人体标本:

Collecting sample(s)
from participants:

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 years
最大 Max age years

性别:

男性

Gender:

Male

随机方法(请说明由何人用什么方法产生随机序列):

非随机对照试验

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

N/A

是否公开试验完成后的统计结果:

Calculated Results after the Study Completed public access:

公开/Public

盲法:

Blinding:

试验完成后的统计结果(上传文件):

Calculated Results after
the Study Completed(upload file):

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):

通过电子邮件

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

through email

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:

病历记录表包括:患者基本信息(性别、年龄、身高、体重指数(BMI)、手术史、基础血压、心率),一般临床信息(血常规、炎症检查、凝血检查、生化检查以及免疫学检查等项目;ARDS 疾病 严重程度、以及 ARDS 相关的症状和体征信息、呼吸窘迫、氧合状态),CT 影像学检查结果。 电子采集和管理系统:仁济电子病历系统。

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

The medical record table includes: basic information of the patient (gender, age, height, body mass index (BMI), surgical history, basal blood pressure, heart rate), general clinical information (blood routine, inflammation examination, coagulation examination, biochemical examination and immunological examination, etc. items; ARDS disease severity, and information on ARDS-related symptoms and signs, respiratory distress, oxygenation status), CT imaging findings. Electronic collection and management system: Renji Electronic Medical Record System.

数据与安全监察委员会:

Data and Safety Monitoring Committee:

有/Yes

注册人:

Name of Registration:

 2022-04-14 21:33:45