Uppsala University
Uppsala, Sweden
NCT Number: NCT05054608
Return to work (not being on sick leave) within one year after intensive care unit (ICU) admission with Coronavirus disease 2019 (COVID-19) will be assessed. Risk and risk factors for not having returned to work will be compared to patients admitted to hospital and general population controls.
The ICU population comprises all Swedish ICU patients with COVID-19 with at least 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. Finally, data on sick leave are provided from the Swedish Social Insurance Agency.
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Notify Me18 year–63 year
All sexes
Observational
Uppsala, Sweden
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Admitted to a Swedish ICU and registered in the Swedish intensive care registry with the ICD 10 diagnosis U07.1 before 31 July 2020. ICU group.
or Admitted to hospital but not ICU with the ICD-10 diagnosis U07.1 in the national patient registry before 31 July 2020. Hospital group.
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). Population control group
Exclusion criteria
Death within one year of inclusion. (For analysis of the secondary outcome). Missing a Swedish personal identification number
Observational study. No intervention.
Time frame: One year
Variables in binary logistic model: On sick leave one year before ICU admission, Charlson comorbidity index, age, legal gender, highest education, immigrant background, income the year before inclusion, marital status, group (ICU, Hospital or General population).
Time frame: One year
Variables in linear regression model: On sick leave one year before ICU admission, Charlson comorbidity index, age, legal gender, highest education, immigrant background, income the year before inclusion, marital status, group (ICU, Hospital or General population).
Uppsala University
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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