Global Longitudinal Health Monitoring and Blood Sample Collection Study to Promote Early-stage Disease Detection and Personalized/Precision Care Using Innovative Research Platforms
研究概览
详细说明
Background:
According to the WHO, non-communicable diseases (NCDs) cause about 70% of global deaths-over 43 million in 2021- with up to 90% in high-income countries. These diseases are linked to risk factors such as unhealthy diets, inactivity, tobacco, and alcohol, leading to long-term health issues and economic burdens. Current screening methods mainly detect clinical signs but lack early sensitivity. Emerging approaches focus on biomarkers, advanced technologies, and machine learning to improve early detection and personalized prevention, aiming to reduce NCD impact and improve health outcomes.
An individual's blood parameters are usually stable and reflect their unique physiology. Comparing current results to personal baseline ranges is more sensitive for detecting health issues than using general population standards. This personalized approach aims to identify early molecular changes indicating potential NCDs. This study builds upon the ongoing Health for Hungary (H4H) (https://www.h4h.hu/en/) project conducted by the Center for Molecular Fingerprinting, a non-profit research institution in Hungary led by 2023 Nobel Laureate in Physics, Prof. Ferenc Krausz (https://www.physics.hku.hk/people/academic_staff/teaching_staff/f_krausz/).
Aim:
The primary scientific goal of the project is to quantitatively parametrize health in terms of time series of integrated molecular parameters and molecular pattern recognition from human blood plasma, and leverage AI to discover the minimum set of molecular data of blood that reliably assess and predict any changes in human health. The overarching aim of the study is to establish the technological and economic basis for a population-based health screening for major NCDs.
Study Design and overview:
The study is a prospective, longitudinal, observational study with no therapeutic intervention, focusing on collecting health data and samples to understand early molecular changes linked to disease. A total of 15,000 participants will be recruited. This study aims to recruit participants in a 1 to 1 ratio across the two groups (Low-risk arm and High-risk arm). Participants, including both sexes aged 40-70 years at enrollment, will be recruited and assigned to one of two distinct cohorts based on their NCD risk profile:
- Low-risk arm: a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs,
- High-risk arm: a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected NCDs.
Participants are to be clinically followed up for 10 years, and followed by continuous regular outcome ascertainment for an additional 10 years only through data-linkage.
The study begins with a baseline visit on Visit 1 to determine the participants' eligibility for the study and signing of informed consent form. Participants will be completed a detailed 30-minute health questionnaire, body measurements, undergo vital signs and resting ECG assessment, and provide fasting blood for molecular fingerprinting measurement and routine laboratory testing including Complete blood counts, Liver function tests, Kidney function tests, Metabolic and lipid panels, Thyroid function tests, Inflammatory markers and Tumor markers. Urine samples will be tested for urinalysis and microalbuminuria. Eligibility will be confirmed after a medical review of the participants' electronic health record (if applicable) and the collected data.
Three additional monthly baseline visits occur during Months 2-4, involving fasting blood collection, a short health update questionnaire, directed physical exam, and reporting of any adverse events. Coronary artery calcium score test (CAC) and Low-dose chest CT scan (LDCT) (aged 50 or more and are with ≥ 20 pack years at visit 1, i.e. high risk group only) will be performed for applicable high-risk participants as part of extended medical check-up at visit 2-4. Between visit 2 and visit 4, CAC and LDCT should be performed once only.
Finally, a Comprehensive Medical Check-Up will be arranged at Years 5 (Visit 13) and 10 (Visit 23) for both high-risk and low-risk participants, while high-risk participants will undergo repeated CAC test and LDCT scan. Over the following 10 years, participants will be attended half-yearly follow-up visits that include a short questionnaire, body measurements, vital signs, ECG, fasting blood and urine collection, and reporting of new health conditions. After Year 10, no further clinic visits are planned, but the study team will continue annual health record review for another 10 years and may contact participants or their next of kin for additional health information.
Primary outcome measures:
Identification of molecular signatures associated with specific risk profiles and disease trajectories
Main data analysis:
Full Analysis Set and Per-Protocol Set (PPS) approach
Potential significance:
The findings will help to establish the technological and economic basis for a population-based health screening for major NCDs
研究类型
注册 (估计的)
联系人和位置
学习联系方式
- 姓名:Teresa HC So
- 电话号码:(+852) 39176714
- 邮箱:haso9150@hku.hk
学习地点
-
-
-
Hong Kong、香港
- School of Public Health, The University of Hong Kong
-
-
参与标准
资格标准
适合学习的年龄
- 成人
- 年长者
接受健康志愿者
取样方法
研究人群
Participants, including both sexes aged 40-70 years at enrollment in Hong Kong. Participants will be assigned to one of two distinct cohorts based on their NCD risk profile:
- Low-risk arm: a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs,
- High-risk arm: a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected
Those who are deemed preliminarily eligible will be scheduled for an initial study visit at a designated study site (e.g., Phase 1 Clinical Trials Unit, The University of Hong Kong) for screening, consenting and enrolment procedures.
描述
Inclusion Criteria:
- Signed informed consent form (ICF) of the study.
- Male or female participants.
- Age at Visit 1: 40 years - 70 years.
- For Low-risk Arm: Assessed as healthy (free of acute or chronic disease) with no cardiovascular risk conditions listed in Inclusion criteria 5. Participants may have mild disorders that do not require regular therapeutic (pharmacological) intervention; For High-risk Arm: Assessed as healthy (free of acute or chronic diseases) with cardiovascular risk conditions listed in Inclusion criteria 5. Participant may have mild disorders that do not require regular therapeutic (pharmacological) intervention.
- For Low-risk Arm: Has low risk to contract an NCD in the upcoming years, according to the following criteria: a) Non-hypertensive person according to criteria of the relevant national guideline, who never received antihypertensive medication; b) Total cholesterol: < 5.2 mmol/L (<200 mg/dL) with no history of lipid-lowering (e.g., statin) treatment; c) Non smoker or with no significant smoking history (<5 pack-years); For High-risk Arm: Has high risk to contract an NCD in the upcoming years, confirmed by the presence of at least 2 out of the following 3 criteria (a, b, c): a) Medically controlled hypertension: participants with diagnosed hypertension receiving antihypertensive medication ; b) Medically controlled dyslipidemia or hypercholesterolemia: participants with diagnosed dyslipidemia or hypercholesterolemia receiving lipid-lowering medication; c) Significant smoking history (tobacco exposure of >20 pack-years) and/or 1st degree family member with history of lung cancer.
- BMI: 18.5 - 35.0 kg/m^2.
- Willingness to fill in the study questionnaire.
- Willingness to participate in future visits and medical investigations as defined per protocol.
- Willingness to be followed-up on disease outcome through data linkage to the participant's health-related records.
Exclusion Criteria:
- Pregnancy at Visit 1 (self-reported, no test required).
- For low-risk arm: Past medical history (PMH) of target NCDs, any other significant health conditions, clinical symptoms, abnormalities of blood parameters or medical tests suggesting the presence of abnormal health conditions at Visit 1. Any condition that is inadequately controlled. The sponsor should be contacted for advice in case of any uncertainties; For high-risk arm: Except for the conditions mentioned under inclusion criteria (point 5a and b), participants with PMH of target NCDs, any other health conditions, clinical symptoms, abnormalities of blood parameters or medical tests suggesting the presence of abnormal health conditions at Visit 1 are excluded from the study. Any condition that is inadequately controlled. Sponsor should be contacted for advice in case of any uncertainties.
- For low-risk arm: Any chronic, systemic drug therapy at Visit 1 (prescription); For high-risk arm: Any chronic, systemic drug therapy at Visit 1 except for conditions mentioned under Inclusion criteria (point 5a and b).
- History of HIV, HBV, HCV or HEV infection at Visit 1.
- Vulnerable participants.
- Foreseeable lack of compliance.
学习计划
研究是如何设计的?
设计细节
队列和干预
团体/队列 |
|---|
|
Low-risk arm
a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs
|
|
High-risk arm
a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected NCDs
|
研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Establish Personalized Molecular Baselines
大体时间:10 years
|
Longitudinal blood sampling from participants in a healthy state (i.e., free from NCDs) will allow comparison between the intra- and inter-individual stability of thousands of molecular variables.
Stable molecular signatures will be defined within their personalized reference range, which characterizes an individual's current health state.
|
10 years
|
|
Establishment of Health Screening Algorithm
大体时间:10 years
|
Create an AI-driven health screening tool for predicting diseases based on personalized molecular profiles and health parameters.
This algorithm will be made to find early signs of disease before clinical symptoms show up by looking for any deviations from an individual's personalized molecular baseline.
|
10 years
|
|
Identification of molecular signatures
大体时间:10 years
|
Identify subtle molecular signatures that precede the clinical manifestation of diseases
|
10 years
|
合作者和调查者
合作者
调查人员
- 首席研究员:Dennis KM Ip, MD、School of Public Health, The University of Hong Kong
研究记录日期
研究主要日期
学习开始 (估计的)
初级完成 (估计的)
研究完成 (估计的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
与本研究相关的术语
关键字
其他相关的 MeSH 术语
其他研究编号
- protecting.health/hong kong
计划个人参与者数据 (IPD)
计划共享个人参与者数据 (IPD)?
药物和器械信息、研究文件
研究美国 FDA 监管的药品
研究美国 FDA 监管的设备产品
此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.