Long Term Outcome in ICU Treated COVID-19: Return to Work

Study Overview
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Brief Summary
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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.

Official Title
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Long Term Outcome in ICU Treated COVID-19: Return to Work

Conditions
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Covid19

Intervention / Treatment
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* Other: No intervention


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 63 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| COVID-19 ICU cohort<br>All patients, 18 to 63 years old, admitted to a Swedish ICU with COVID-19 with at least one year of follow up. COVID-19 defined by the ICD-10 diagnosis U07.1 in the nationwide Swedish intensive care registry. | Other: No intervention<br>* Observational study. No intervention.<br>|
| COVID-19 hospital admission control cohort<br>Four random control patients per ICU patient matched on age legal gender and region. Controls selected from all patients admitted to a Swedish hospital with COVID-19 with at least one year of follow up. Not including patients in the COVID-19 ICU cohort. COVID-19 defined by the ICD-10 diagnosis U07.1 in the nationwide Swedish national patient registry. | Other: No intervention<br>* Observational study. No intervention.<br>|
| General population control cohort<br>Four general population controls per ICU patient, matched on age, legal gender and region drawn from the total population register of Sweden. Not including ICU and hospital admitted COVID-19 patients. | Other: No intervention<br>* Observational study. No intervention.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Is group an independent risk factor for having one or more additional sick leave free days alive? Ordinal logistic model including variables below. | 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). | One year | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Is cohort an independent risk factor for being on sick leave one year after inclusion? Binary logistic model containing the variables below? | 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). | One year | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Long term outcome, Return to work, COVID-19, Risk factors, Critical care