Digital Solutions for Predicting the Biological Mechanisms of Alzheimer's Disease Through the Analysis of Risk Factors
报名条件（概要）
- 年龄：18 Years – 不限
- 性别：不限
- 健康志愿者：不接受
完整入排标准请以官方页面为准。
开展国家/地区
Italy
药品与企业信息
其他名称：App for active patient monitoring
The intervention consists of a mobile application ("app") for risk monitoring with gamified patient engagement, which is design to support remote health monitoring and participant adherence to the study. Participants will enter informative clinical variables every 3 months, including weight, height, age, systolic/diastolic blood pressure, and blood glucose levels. The app generates a qualitative risk assessment (low/medium/high) based on entered data, intended as a clinical monitoring support tool for the participating sites and not as a diagnostic tool that replaces medical evaluation and/or clinical judgment. Unlike standard data collection apps, the intervention provides continuous engagement incentives in the form of visual feedback and motivational messaging.
研发企业
试验官方登记的主要申办方；研究机构申办时会显示相应机构名称。
生产企业
公开药品批准资料或正式说明书暂未提供明确的生产企业信息。
合作机构
- Asst Degli Spedali Civili Di Brescia研究机构/其他
研发企业与生产企业可能不是同一家。研究阶段药品可能尚未公布生产企业；生产企业仅取自美国上市原研药说明书所列企业（不含仿制药），不作推测；仅在其他国家上市的药品暂无法显示。
研究简介（原文）
Population ageing is one of the main factors responsible for the global increase in the prevalence of dementia. Recent evidence suggests that modifiable risk factors, such as cardiovascular disease and lifestyle, may increase the risk of developing dementia and contribute to its progression. Furthermore, the use of non-invasive plasma biomarkers enables the identification of individuals with neurodegenerative diseases, even in the prodromal stage. However, the relationship between the cumulative burden of risk factors and plasma biomarkers is still poorly understood. The main objective of this study is to identify and estimate the risk associated with modifiable and non-modifiable predictors (risk factors) linked to the development of Alzheimer's disease (AD) and non-AD dementia, as well as biological alterations consistent with AD or non-AD, through the development of a predictive tool based on Artificial Intelligence algorithms (Machine Learning model). The study also aims to provide a range of technological tools (an app for active patient monitoring and a web platform for clinicians) that could improve risk stratification and the personalisation of care pathways. The study is divided into two different phases. Firstly, a retrospective phase is conducted in order to construct a predictive model for the risk of dementia and biological alterations consistent with AD. Secondly, a prospective phase is performed for the validation of the predictive model.
适应症
主动联系研究团队
这项试验目前在中国大陆没有研究中心
这种情况下，直接发"入组咨询"往往会被回复"您所在地区没有中心"。更有效的做法是申请同情用药／扩展准入（由主治医生一同提出），或询问能否到最近的境外中心参加。下面已为您切换到对应的信件版本。
查看完整申请路径与成功率说明 →研究中心联系方式
- ASST Spedali Civili di BresciaBrescia，BS，Italy
- IRCCS Istituto Centro San Giovanni Di Dio - FatebenefratelliBrescia，BS，Italy
问自己是否符合条件、如何预筛
我的病情档案
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英文版（发给研究团队）
Dear Study Team, I am a patient in China and I am interested in participating in your clinical trial: Study Title: Digital Solutions for Predicting the Biological Mechanisms of Alzheimer's Disease Through the Analysis of Risk Factors ClinicalTrials.gov Identifier: NCT07731191 Sponsor: IRCCS Centro San Giovanni di Dio Fatebenefratelli Investigational product: Digital solution for the prediction of the biological mechanisms of Alzheimer's disease through the analysis of risk factors About me: - Age: (please fill in) - Sex: (please fill in) - Confirmed diagnosis and stage: (please fill in) - Biomarkers / genetic testing: not available - Prior and current treatments: (please fill in) - Performance status (ECOG): not assessed - Current location: China - Travel ability: (please fill in) Could you please let me know: 1. Whether I might be eligible for this study; 2. Which site would be closest and most practical for me, and whether remote pre-screening is possible; 3. What documents (medical records, pathology or imaging reports, recent labs) I should prepare for pre-screening. I can provide English translations of my medical records. Thank you very much for your time and help. Kind regards, (your name) (your email / phone with country code)
中文对照（供您核对）
尊敬的研究团队： 我是一位来自中国的患者，希望咨询参加以下临床试验的可能： 研究名称：Digital Solutions for Predicting the Biological Mechanisms of Alzheimer's Disease Through the Analysis of Risk Factors 试验编号：NCT07731191 申办方：IRCCS Centro San Giovanni di Dio Fatebenefratelli 研究药物：Digital solution for the prediction of the biological mechanisms of Alzheimer's disease through the analysis of risk factors 我的基本情况： - 年龄：（请填写） - 性别：（请填写） - 确诊疾病与分期：（请填写） - 基因／标志物检测：暂无 - 既往及当前治疗：（请填写） - 体能状态（ECOG）：未评估 - 目前所在城市：中国 - 可前往范围：（请填写） 想请教三个问题： 1. 我是否可能符合本研究的入组标准？ 2. 哪个中心对我最方便可行？能否远程预筛？ 3. 预筛需要准备哪些资料（病历、病理、影像、近期化验）？ 我可以提供英文翻译版病历。感谢您的时间与帮助。 顺祝安康 （您的姓名） （您的邮箱／带国际区号的电话）
提示：请与主治医生一起发信——由医生署名的申请，回复率远高于患者单独发信。首封邮件不要附身份证号等敏感信息。研究团队通常在 3–10 个工作日内回复，两周无回音可礼貌追问一次。
下一步怎么做？
- 把本页信息带给您的主治医生，评估是否适合参加。
- 点击下方按钮打开官方注册页，查看研究中心联系方式。
- 直接联系研究团队咨询报名事宜（通常有中文同声翻译服务可协助沟通）。