ChiCTR2500100844 版本V1.0 版本创建时间2025/04/16 10:50:57 中国临床试验注册中心

审核状态:

Project audit state:

通过审核

Successful

注册号:

Registration number:

ChiCTR2500100844 

最近更新日期:

Date of Last Refreshed on:

2025-04-16 10:50:41 

注册时间:

Date of Registration:

2025-04-16 00:00:00 

注册号状态:

预注册

Registration Status:

Prospective registration

注册题目:

基于机器学习的妊娠期压力性尿失禁风险预测模型研究

Public title:

Research on the risk prediction model of stress urinary incontinence during pregnancy based on machine learning

注册题目简写:

English Acronym:

研究课题的正式科学名称:

基于机器学习的妊娠期压力性尿失禁风险预测模型研究

Scientific title:

Research on the risk prediction model of stress urinary incontinence during pregnancy based on machine learning

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:

康丽萍 

研究负责人:

康丽萍 

Applicant:

Kang Liping 

Study leader:

Kang Liping 

申请注册联系人电话:

Applicant telephone:

+86 187 5041 6707

研究负责人电话:

Study leader's
telephone:

+86 187 5041 6707

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:

823984547@qq.com

研究负责人电子邮件:

Study leader's E-mail:

823984547@qq.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:

福建省泉州市丰泽区安吉南路1028号

研究负责人通讯地址:

福建省泉州市丰泽区安吉南路1028号

Applicant address:

1028 Anji Road South, Fengze District, Quanzhou, Fujian

Study leader's address:

1028 Anji Road South, Fengze District, Quanzhou, Fujian

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:

福建医科大学附属泉州第一医院

Applicant's institution:

Quanzhou First Hospital Affiliated to Fujian Medical Un

研究负责人所在单位:

福建医科大学附属泉州第一医院

Affiliation of the Leader:

Quanzhou First Hospital Affiliated to Fujian Medical Un

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:

泉一伦[2024]K034号

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:

泉州市第一医院伦理委员会

Name of the ethic committee:

Ethics Committee of Quanzhou First Hospital

伦理委员会批准日期:

Date of approved by ethic committee:

2025-03-11 00:00:00

伦理委员会联系人:

柳江民

Contact Name of the ethic committee:

Liu Jiangmin

伦理委员会联系地址:

福建省泉州市鲤城区东街250号

Contact Address of the ethic committee:

250 East Street, Licheng District, Quanzhou, Fujian

伦理委员会联系人电话:

Contact phone of the ethic committee:

+86 138 6079 9167

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:

福建医科大学附属泉州第一医院

Primary sponsor:

Quanzhou First Hospital Affiliated to Fujian Medical University

研究实施负责(组长)单位地址:

福建省泉州市丰泽区安吉南路1028号

Primary sponsor's address:

1028 Anji Road South, Fengze District, Quanzhou, Fujian

试验主办单位(项目批准或申办者):

Secondary sponsor:

国家:

中国

省(直辖市):

福建

市(区县):

泉州

Country:

China

Province:

Fujian

City:

Quanzhou

单位(医院):

福建医科大学附属泉州第一医院

具体地址:

福建省泉州市丰泽区安吉南路1028号

Institution
hospital:

Quanzhou First Hospital Affiliated to Fujian Medical University

Address:

1028 Anji Road South, Fengze District, Quanzhou, Fujian

经费或物资来源:

福建省自然科学基金(2024J011528)

Source(s) of funding:

Natural Science Foundation of Fujian Province,(No.2024J011528)

研究疾病:

妊娠期压力性尿失禁  

Target disease:

Stress urinary incontinence during pregnancy

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:

连续入组 

Study design:

Sequential 

研究目的:

(1) 描述和分析妊娠期压力性尿失禁现状及相关风险因素; (2) 基于多种机器学习算法构建妊娠期压力性尿失禁风险预测模型,并通过模型评价指标进行验证,选出具有最佳预测性能的模型算法,为妊娠期压力性尿失禁的早期预防和干预提供评估工具。  

Objectives of Study:

(1) To describe and analyze the status and risk factors of stress urinary incontinence during pregnancy; (2) The risk prediction model of stress urinary incontinence during pregnancy was constructed based on a variety of machine learning algorithms, and the model algorithm with the best prediction performance was selected through the model evaluation index verification, so as to provide an evaluation tool for the early prevention and intervention of stress urinary incontinence during pregnancy.

药物成份或治疗方案详述:

 

Description for medicine or protocol of treatment in detail:

 

纳入标准:

1.产妇,胎儿头位; 2.愿意参加此项研究; 3.既往无泌尿系统感染及肾脏疾病; 4.既往无盆腔手术史; 5.总体认知功能正常。

Inclusion criteria

1. maternal, fetal head position; 2. willing to participate in the study; 3. No previous urinary system infection and kidney disease; 4. No previous pelvic surgery history; 5. The overall cognitive function was normal.

排除标准:

1.未规律产检者; 2.视觉或听觉障碍者; 3.排除其他可能导致排尿障碍因素的患者; 4.具有明显的生理缺陷和重大疾病。

Exclusion criteria:

1. Irregular prenatal examination; 2. visual or hearing impairment; 3. Excluding patients with other factors that may cause voiding disorders; 4. It has obvious physiological defects and major diseases.

研究实施时间:

Study execute time:

From 2024-11-01 00:00:00 To 2027-12-31 00:00:00  

征募观察对象时间:

Recruiting time:

From 2025-04-18 00:00:00 To 2026-12-31 00:00:00

干预措施:

Interventions:

组别:

根据是否发生孕期压力性尿失禁进行分组

样本量:

500

Group:

Groups were grouped according to the presence or absence of stress incontinence

Sample size:

干预措施:

干预措施代码:

Intervention:

no

Intervention code:

研究实施地点:

Countries of recruitment and research settings:

国家:

中国

省(直辖市):

福建 

市(区县):

泉州 

Country:

China

Province:

Fujian

City:

Quanzhou

单位(医院):

福建医科大学附属泉州第一医院 

单位级别:

三甲 

Institution
hospital:

Quanzhou First Hospital Affiliated to Fujian Medical University

Level of the institution:

Tertiary A

测量指标:

Outcomes:

指标中文名:

妊娠期压力性尿失禁症状及危险因素评估

指标类型:

主要指标

Outcome:

Risk factor assessment

Type:

Primary indicator

测量时间点:

测量方法:

一般资料调查表、国际尿失禁量表(ICIQ-SF)等

Measure time point of outcome:

Measure method:

General Information questionnaire, International Incontinence Questionnaire (ICIQ-SF)

指标中文名:

压力性尿失禁发生率

指标类型:

次要指标

Outcome:

Incidence of stress urinary incontinence

Type:

Secondary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

模型拟合度

指标类型:

主要指标

Outcome:

Degree of model fit

Type:

Primary indicator

测量时间点:

构建模型后

测量方法:

将独立危险因素纳入模型,借助R语言rms、glmnet、e1071、xgboost、randomForest及ggplot2等程序包生成妊娠期SUI风 险预测模型并对模型进行可视化。采用准确度、精确度、召回率、F1值、灵敏度、特异度、ROC曲线 下面积(AUC)等来评价模型的稳定性及临床实用性。

Measure time point of outcome:

After building the model

Measure method:

The independent risk factors were included in the model, and the R language rms, glmnet, e1071, xgboost, randomForest and ggplot2 packages were used to generate and visualize the SUI risk prediction model during pregnancy. Accuracy, precision, recall, F1 score, sensitivity, specificity, and area under the ROC curve (AUC) were used to evaluate the stability and clinical practicability of the model.

采集人体标本:

Collecting sample(s)
from participants:

标本中文名:

组织:

Sample Name:

no

Tissue:

人体标本去向

使用后销毁  

说明

Fate of sample:

Destruction after use  

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 years
最大 Max age years

性别:

女性

Gender:

Female

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):

no

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:

是否共享原始数据:

IPD sharing

是Yes

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):

发表论文

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

Publish a paper

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:

病例记录

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

Case record

数据与安全监察委员会:

Data and Safety Monitoring Committee:

暂未确定/Not yet

注册人:

Name of Registration:

 2025-04-16 10:50:41