Is Precariousness a Risk Factor for COVID-19 Mortality in Intensive Care?
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- Death
研究概览
简要总结
Is precariousness a risk factor for COVID-19 mortality in intensive care units ?
Abstract
Background: During the SARS-CoV-2 pandemic, the first wave overwhelmed hospitals in Paris area (Ile-de-France) with a variable impact depending on the territory. Several studies highlighted variable ICU mortality rates during COVID-19 surges across territories (10 to 60%) with higher rates in those most affected by poverty. We assessed the impact of precariousness, as an independent risk factor, on mortality linked to Covid-19 between ICUs at Delafontaine hospital and Ambroise Paré hospital.
Method: Investigators carry out a retrospective observational cohort study of consecutive ICU patients aged ≥ 18 years admitted at Delafontaine and Ambroise Paré hospitals during the first wave of the Covid-19 outbreak in order to compare mortality rates according to predefined risk factors (age, diabetes, arterial hypertension, BMI, active solid or haematological cancer, IGS2, poverty rate at the threshold of 60% (%) according to the island grouped for statistical information (IRIS)37 of the patient, invasive ventilation or not) that include precariousness.
Results:
Conclusion:
详细描述
Introduction:
During the SARS-CoV-2 pandemic, the first health crisis overwhelmed hospitals in Ile de France with a different impact depending on the territory . According to data on deaths registered in the civil registry published by the National Institute of Statistics and Economic Studies (INSEE), Seine-Saint-Denis has recorded the highest excess mortality rate in Ile-de-France, over the period from 1st March to 19th April. Seine-Saint-Denis has an excess mortality of over 130%, compared to over 74% in Paris and over 122% in Hauts-de-Seine. By considering the mortality rates according to the place of residence rather than the place of death, excess mortality has reached 134% in Seine-Saint-Denis, over 114% in Hauts-de-Seine, and over 99 % regarding Paris.
Seine-Saint-Denis is one of the French department most affected by poverty, which is a factor of vulnerability, and constitutes a risk factor for mortality after hospitalization in the context of traumatic, cardiovascular or cancer pathologies. In addition, precarious people have a reduced life expectancy, but it is not a risk factor for ICU mortality when considering severity on admission.
In Ile-de-France, the mortality rate in intensive care could significantly vary depending on the territory (10 to 60%), reflecting thus the disparities noticed in mortality from Covid-19. The opensafely study enumerates some of the primary mortality risk factors from Covid-19 such as age, sex, obesity, smoking, ethnicity, diabetes, solid and hematological cancers, kidney failure, chronic cardiorespiratory diseases but also precariousness independently and with a dose-response effect, whereas these risk factors could result from precariousness itself.
Knowing these risk factors for severe infection with Covid-19, investigators assume a link between precariousness and mortality in intensive care with Covid-19 pneumonia.
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 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •all patients hospitalized in intensive care at Delafontaine hospital (12 intensive care beds and 6 CCU beds) and Ambroise Paré hospital (12 intensive care beds and 6 CCU beds) that has developed a Covid-19 pneumonitis confirmed biologically by nasopharyngeal PCR or on deep respiratory samples (bronchial, tracheal aspiration or bronchoalveolar lavage) or strongly suspected with a compatible CT27 and a very evocative clinical history depending on the practitioner in charge would be included into the study.
排除标准
- •all minor patients under the age of 18 and patients transferred after less than 24 hours of care in the service would be excluded.
结局指标
主要结局
Death
时间窗: 90 days
次要结局
- Death in ICU(90 days)
- ICU length of stay(6 months)
- Hospital length of stay(6 months)
