Impact of a 24-hour Shift Call on the Immune Status of Surgery Residents
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 60
- 试验地点
- 1
- 主要终点
- Characterization of the phenotype and function of immune cells using flow cytometry
研究概览
简要总结
Sleep deprivation is a prevalent problem in modern societies. Sleep deprivation can cause hormonal changes, such as an increase in cortisol, as well as inflammation. Animal studies have shown an increase in inflammatory cytokine production following sleep deprivation. Additionally, humans experiencing sleep deprivation may experience a decrease in natural killer cells and lymphocytes.
Physicians, particularly those in surgical specialties, are often subjected to sleep deprivation as part of their medical residency training. This study hypothesizes that after 24-hour shifts, there is an increase in inflammatory response and impairment of the immune response against unspecific activation. This proposal aims to provide insight into the impact of sleep deprivation on the immune system of surgery residents by characterizing the phenotype and function of immune cells, as well as their correlation with biometric data.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Healthy subjects
- •Surgery residents in a 24-hour shift rotation
- •Gender of subjects: Males and females
- •Age of subjects: 18 years old and older
- •Racial and Ethnic Origin: Any race or ethnicity
排除标准
- •Unwilling/unable to sign informed consent
- •Vulnerable Subjects/Subject Capacity to provide consent
结局指标
主要结局
Characterization of the phenotype and function of immune cells using flow cytometry
时间窗: 24 hours
Specifically, T cells, B cells, dendritic cells, macrophages, and natural killer cells will be identified and analyzed. Memory cells, co-inhibitor markers, and regulatory markers will also be evaluated. The function will be analyzed based on the intracellular expression of effector molecules and cytokines after unspecific activation with CD3-CD28 beads.
次要结局
- Analyze the biometric data and correlate it with changes in sleep deprivation(One week before rotation and the last week of rotation)
- Analyze the biometric data and correlate it with changes in the immune response(One week before rotation and the last week of rotation)
- Analyze the biometric data and correlate it with changes in physical activity(One week before rotation and the last week of rotation)