|
注册号: Registration number: |
ChiCTR2600121677 |
|
最近更新日期: Date of Last Refreshed on: |
2026-04-01 16:45:46 |
|
注册时间: Date of Registration: |
2026-04-01 00:00:00 |
|
注册号状态: |
预注册 |
|
Registration Status: |
Prospective registration |
|
注册题目: |
PCOS生殖助孕患者母子健康数智化风险预测与分层管理研究 |
|
Public title: |
Research on Digitalized Risk Prediction and Stratified Management for the Health of Mothers and Infants in PCOS Reproductive Assisted Conception Patients |
|
注册题目简写: |
|
|
English Acronym: |
|
|
研究课题的正式科学名称: |
PCOS生殖助孕患者母子健康数智化风险预测与分层管理研究 |
|
Scientific title: |
Research on Digitalized Risk Prediction and Stratified Management for the Health of Mothers and Infants in PCOS Reproductive Assisted Conception 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: |
曾韩 |
研究负责人: |
曾韩 |
|
Applicant: |
Zeng Han |
Study leader: |
Zeng Han |
|
申请注册联系人电话: Applicant telephone: |
+86 138 7061 9351 |
研究负责人电话:
Study leader's |
+86 791 8869 2748 |
|
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: |
1346642426@qq.com |
研究负责人电子邮件: Study leader's E-mail: |
1346642426@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: |
中国江西省南昌市东湖区永外正街17号 |
研究负责人通讯地址: |
中国江西省南昌市东湖区永外正街17号 |
|
Applicant address: |
17 Yongwai Zhengjie, Donghu District, Nanchang, Jiangxi, China |
Study leader's address: |
17 Yongwai Zhengjie, Donghu District, Nanchang, Jiangxi, China |
|
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: |
南昌大学第一附属医院 |
||
|
Applicant's institution: |
The First Affiliated Hospital of Nanchang University |
||
|
研究负责人所在单位: |
南昌大学第一附属医院 |
||
|
Affiliation of the Leader: |
The First Affiliated Hospital of Nanchang University |
||
|
是否获伦理委员会批准: |
是 |
||
|
Approved by ethic committee: |
Yes |
||
|
伦理委员会批件文号: Approved No. of ethic committee: |
IIT[2026]临伦审第228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: |
南昌大学第一附属医院医学伦理委员会 |
||
|
Name of the ethic committee: |
Medical Ethics Committee of the First Affiliated Hospital of Nanchang University |
||
|
伦理委员会批准日期: Date of approved by ethic committee: |
2026-02-28 00:00:00 | ||
|
伦理委员会联系人: |
舒展 |
||
|
Contact Name of the ethic committee: |
Shu Zhan |
||
|
伦理委员会联系地址: |
中国江西省南昌市东湖区永外正街17号 |
||
|
Contact Address of the ethic committee: |
17 Yongwai Zhengjie, Donghu District, Nanchang, Jiangxi, China |
||
|
伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 791 8869 2201 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
493831410@qq.com |
|
研究实施负责(组长)单位: |
南昌大学第一附属医院 |
||||||||||||||||||||||
|
Primary sponsor: |
The First Affiliated Hospital of Nanchang University |
||||||||||||||||||||||
|
研究实施负责(组长)单位地址: |
中国江西省南昌市东湖区永外正街17号 |
||||||||||||||||||||||
|
Primary sponsor's address: |
17 Yongwai Zhengjie, Donghu District, Nanchang, Jiangxi, China |
||||||||||||||||||||||
|
试验主办单位(项目批准或申办者): Secondary sponsor: |
|
||||||||||||||||||||||
|
经费或物资来源: |
南昌大学第一附属医院临床研究培育项目 |
||||||||||||||||||||||
|
Source(s) of funding: |
The Clinical Research Cultivation Project of the First Affiliated Hospital of Nanchang University |
||||||||||||||||||||||
|
研究疾病: |
多囊卵巢综合征 |
||||||||||||||||||||||
|
Target disease: |
Polycystic Ovary Syndrome (PCOS) |
||||||||||||||||||||||
|
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: |
队列研究 |
||||||||||||||||||||||
|
Study design: |
Cohort study |
||||||||||||||||||||||
|
研究目的: |
1. 构建适用于中国PCOS生殖助孕人群的多维度风险预测指标体系; 2. 开发并验证高精度、可解释的AI风险预测模型,实现对复合性不良妊娠结局及子代近远期健康风险的精准量化预测; 3. 研发融合预测模型的数智化风险分层闭环管理系统,实现智能化管理流程; 4. 通过前瞻性队列研究验证该数智化管理体系的临床效能,为精准护理提供循证依据。 |
||||||||||||||||||||||
|
Objectives of Study: |
1. Establish a multi-dimensional risk prediction index system applicable to the reproductive assistance population with PCOS in China;2. Develop and validate an AI risk prediction model with high accuracy and interpretability, achieving precise quantitative prediction of complex adverse pregnancy outcomes and the short-term and long-term health risks of the offspring;3. Develop a digitalized risk stratification closed-loop management system integrating the prediction model, realizing intelligent management processes;4. Verify the clinical efficacy of this digitalized management system through a prospective cohort study, providing evidence-based basis for precise care. |
||||||||||||||||||||||
|
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.高雄激素或排卵障碍由其他疾病导致; |
||||||||||||||||||||||
|
Exclusion criteria: |
1.Hyperandrogenism or ovulation disorders are caused by other diseases; |
||||||||||||||||||||||
|
研究实施时间: Study execute time: |
从 From 2026-03-01 00:00:00至 To 2028-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2026-04-01 00:00:00 至 To 2027-12-31 00:00:00 |
|
干预措施: Interventions: |
|
|
研究实施地点: Countries of recruitment and research settings: |
|
||||||||||||||||||||||||||||
|
测量指标: Outcomes: |
|
|
采集人体标本:
Collecting sample(s)
|
|
|
征募研究对象情况: Recruiting status: |
尚未开始 Not yet recruiting |
年龄范围: Participant age: |
|
||||||
|
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): |
无 |
||||||||
|
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: |
无 |
|
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): |
无 |
|
The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
None |
|
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: |
本研究采用前瞻性队列设计,通过医院信息系统自动采集与专病数据库主动录入相结合的方式,系统收集PCOS助孕患者“孕前-孕产-子代”全周期多维度数据。建立了涵盖数据整合、清洗、质控、安全防护与标准化处理的完整数据管理体系,确保研究数据真实、准确、完整、安全,为后续风险预测模型的构建与验证奠定了坚实可靠的数据基础。 |
|
Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
This study adopted a prospective cohort design. Through a combination of automatic collection by the hospital information system and active entry from the specialized disease database, it systematically collected multi-dimensional data covering the entire cycle of "pre-pregnancy - pregnancy - offspring" for patients undergoing assisted pregnancy for PCOS. A complete data management system was established, including data integration, cleaning, quality control, security protection, and standardized processing, to ensure the authenticity, accuracy, completeness, and safety of the research data. This laid a solid and reliable data foundation for the subsequent construction and validation of risk prediction models. |
|
数据与安全监察委员会: Data and Safety Monitoring Committee: |
无/No |