Viewing Study NCT05394961


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Study NCT ID: NCT05394961
Status: COMPLETED
Last Update Posted: 2022-05-27
First Post: 2022-05-23
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: Factors Associated With Decisions to Withhold or Withdraw Intensive Care
Sponsor: Uppsala University
Organization:

Study Overview

Official Title: Are Socioeconomic Factors, Sex and Country of Birth Associated With Decisions to Withhold or Withdraw Intensive Care in Swedish Hospitals?
Status: COMPLETED
Status Verified Date: 2022-05
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
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.

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: