Long Term Outcome in ICU Treated COVID-19: Risk Factors for 1-year Mortality
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 13,537
- 试验地点
- 1
- 主要终点
- Is cohort an independent risk factor in a logistic model of one year mortality?
研究概览
简要总结
Mortality within one year after intensive care unit (ICU) admission with Coronavirus disease 2019 (COVID-19) will be assessed. Risk and risk factors for one year mortality in ICU patients will be compared to patients admitted to hospital with COVID-19 and general population controls.
The ICU population comprises all Swedish ICU patients with COVID-19 with at lease one year of follow up. The hospital admitted cohort comprises four hospital admitted patients with COVID-19 per ICU patient, matched on age, legal gender and region. The general population controls are matched to the ICU patients in a one to four fashion on age, legal gender and region.
ICU patients are identified in the Swedish intensive care registry. The hospital admitted patients are identified in the national patient registry and the population controls are identified in the population registry. Data on socioeconomics and income are provided by the Statistics Sweden. Data on comorbidity, medications and death are provided from the National board of health and welfare.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Retrospective
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
- •Admitted to a Swedish ICU and registered in the Swedish intensive care registry with the ICD 10 diagnosis U07.1 before 1 July
- •ICU-cohort.
- •or randomly selected from all patients admitted to hospital but not ICU with the ICD 10 diagnosis U07.1 in the national patient registry, matched on age, legal gender and region (four per ICU patient) before 1 July
- •Hospital cohort.
- •or randomly selected from the general population (and not included in the ICU or hospital admitted cohorts), matched on age, legal gender and region (four per ICU patient)
排除标准
- •Missing a Swedish personal identification number
结局指标
主要结局
Is cohort an independent risk factor in a logistic model of one year mortality?
时间窗: One year
Binary logistic model, interaction with a variable denoting cohort (ICU, Hospital or General population). A significant interaction denotes a differential effect of a risk factor between cohorts. Variables in a binary logistic model on mortality one year after ICU admission: age, legal gender, highest education, immigrant background, income previous year, martial status, ischemic heart disease, chronic renal failure, stroke, type 2 diabetes melitus, chronic obstructive pulmonary disease, asthma, hypertension, malignancy, treatment with renin-angiotensin-angiotensinogen inhibitors and treatment with statins.
What factors have significant odds ratios in a logistic model of the risk of one year mortality?
时间窗: One year
Variables in a binary logistic model on mortality one year after ICU admission: age, legal gender, highest education, immigrant background, income previous year, martial status, ischemic heart disease, chronic renal failure, stroke, type 2 diabetes melitus, chronic obstructive pulmonary disease, asthma, hypertension, malignacy, treatment with renin angiotensin angiotensinogen inhibitors, treatment with statins
次要结局
- Does acute disease severity, hospital length of stay or ICU length of stay affect the significance of variables when added to the risk model in Outcome 1 for the ICU cohort?(One year)