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Factors Associated With Decisions to Withhold or Withdraw Intensive Care

Are Socioeconomic Factors, Sex and Country of Birth Associated With Decisions to Withhold or Withdraw Intensive Care in Swedish Hospitals?

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05394961
Enrollment
33256
Registered
2022-05-27
Start date
2021-08-26
Completion date
2021-08-26
Last updated
2022-05-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

ARDS, Human, COVID-19, Sepsis

Keywords

critical care, limitations of care, critical illness, intensive care unit

Brief summary

Medical and socioeconomic data are extracted from the Swedish Intensive Care Registry (SIR), the Swedish National Patient Registry and Statistics Sweden for all adult patients admitted to in Swedish intensive care units between 2014-01-01 and 2020-12-31 with a diagnosis of sepsis and/or acute respiratory distress syndrome (ARDS) and/or coronavirus 19 (COVID-19) infection, and registered in SIR. The impact of demographic and socioeconomic factors on decisions to withhold or withdraw intensive care, and on mortality, are studied and statistically adjusted for level of chronic comorbidity and severity of acute illness.

Detailed description

Patient identification and data acquisition With permission from the ethical board of Sweden, all registered intensive care episodes with a diagnosis of sepsis, acute respiratory distress syndrome (ARDS) or coronavirus 19 (COVID-19) and admission between 2014-01-01 and 2020-12-31 are identified in the Swedish Intensive Care Registry (SIR). Basic demographic data (age, sex) and intensive care data from SIR are combined with comorbidity data from the National Patient Registry of the Board of Health and Welfare (Socialstyrelsen), and data on country of birth, household size, education and economy from Statistics Sweden (SCB) to produce a pseudonymized study data set. For patients with multiple intensive care episodes, the first one is used. Analysis Descriptive data on the frequency of decisions to withhold or withdraw intensive care, and on demographic and socioeconomic factors, morbidity and mortality in patients with or without such decisions, are produced. Logistic regression is used to assess the association between demographic and socioeconomic factors and limitations in intensive care, adjusting for acute and chronic morbidity and accounting for multicenter data. Secondarily, association between the same factors and mortality is studied.

Interventions

PROCEDURETreatment in an intensive care unit with a diagnosis of sepsis and/or ARDS and/or covid-19

As above

Sponsors

Uppsala University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Registered intensive care episode with relevant diagnosis

Exclusion criteria

* None, if inclusion criteria fulfilled

Design outcomes

Primary

MeasureTime frameDescription
Decision to withhold or withdraw intensive careDuring ICU careRegistered decision

Secondary

MeasureTime frameDescription
30 day mortality30 daysdeath within 30 days of ICU admission
90 day mortality90 daysdeath within 90 days of ICU admission

Countries

Sweden

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026