Profiling Vulnerability and Resilience for Mental Illness Following Viral Infections: Translating Epidemiology to Deep-phenotyping
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 408,551
- 试验地点
- 4
- 主要终点
- number of hospital admission for mental illness after infection diagnosis
研究概览
简要总结
This observational study aims to identify the underlying neurobiological and environmental mechanisms that influence vulnerability or resilience to mental illness in the context of infection and their contribution to severe infective outcomes in people with pre-existing mental illness. The main questions it aims to answer are:
- How do viral infections influence the development of mental illness?
- What neurobiological and environmental factors contribute to influence the development of mental illness following infection?
- How do these factors relate to the severity of infectious illness in people with pre-existing mental disorders?
Researchers will move from large population databases to well-defined, deeply characterised samples to explore the association between infection and subsequent mental health outcomes, and the biological mechanisms behind these changes.
Participants's data has already been collected.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
number of hospital admission for mental illness after infection diagnosis
时间窗: 3 years
number of onset or relapse of mental illness following infection
number of infections (Pathogen Burden Summary - PBS) in patients with mental illness
时间窗: 3 years
number of samples positive for antibodies for viruses associated with Mental illness in the literature (IgG, expressed as AU/mL)
次要结局
- Predictive risk models based on an individual biological and environmental signatures(3 years)
- Environmental risk and resilience factors for mental illness and severe outcomes(3 years)
- Neurobiological risk and resilience factors for mental illnesses and severe outcomes(3 years)
- genes or proteins that might be modified using drugs(3 years)
研究者
Sara Poletti
Principal Investigator
IRCCS San Raffaele