Post Acute Sequelae of SARS-CoV-2
试验速览
- 阶段
- 不适用
- 状态
- 进行中(未招募)
- 入组人数
- 500
- 试验地点
- 1
- 主要终点
- Natural history of recovery from COVID-19
研究概览
简要总结
COVID-19, a novel coronavirus, has caused widespread mortality and morbidity since it emerged in 2019. There is ongoing research and growing literature describing severe acute respiratory syndrome (SARS-COV-2). There is a growing population of individuals who have recovered from acute SARS-COV-2 infection. The long-term effects of COVID-19 are unknown. There are growing reports of sequelae after acute SARS-CoV-2 not limited to fatigue, dyspnea, reactive airway disease, organizing pneumonia, pulmonary fibrosis, pulmonary hypertension, pulmonary emboli, and tracheal disease. The incidence and natural history of these findings is unstudied.
详细描述
COVID-19 is a leading cause of death worldwide. The long-term effects of the virus are unknown. There is lack of reliable information about the natural history of post acute sequelae. Although there are limited evidence-based treatment guidelines, many patients receive unproven therapies. Given the mortality and morbidity associated with the illness and the growing number of patients who have survived COVID-19 the long-term effects are a growing area of inquiry. This study is designed to better understand the effects of SARS-CoV-2 that develop over time. This study will characterize the recovery process, epidemiology, and natural history of post-acute sequelae. This includes the clinical spectrum of recover and subsets of patients who have symptoms outside the standard course. Factors studied will include the individual, clinical context, severity of disease, duration of symptoms and the impact of treatment for acute SARS-CoV-2. This study will include a breadth of severity from those treated as outpatients, those requiring hospitalization, and those requiring critical care.
Key personnel will extract data recorded in the electronic health record (EHR) as part of routine clinical care in the evaluation in treatment of COVID-19 and its sequelae. Data such as incidence, prevalence, demographics, comorbidities, duration of illness, severity, level of medical care, measures of organ function, drug treatments, laboratory values, pulmonary function tests, computed tomography images, and other data from clinical care will be retrospectively entered into electronic data capture (REDCap).
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •18 years or older
- •COVID-19 diagnosis
- •Seen in a Vanderbilt clinic or affiliated health facility
排除标准
- 未提供
结局指标
主要结局
Natural history of recovery from COVID-19
时间窗: up to 5 years
Incidence, prevalence, age, sex, BMI, presence of comorbid conditions (including diabetes, hypertension, immunosuppression, or chronic lung disease), duration of illness (in days), level of medical care (intensive care unit, inpatient or outpatient), drug therapies received, pulmonary function tests, and computed tomography images.
次要结局
- Natural history of patients who do not recover from COVID-19(up to 5 years)
研究者
Carla Sevin
Principal Investigator
Vanderbilt University Medical Center
