Clinically stable covid-19 patients presenting to acute unscheduled episodic care venues have increased risk of hospitalization: secondary analysis of a randomized control trial.
COVID-19
CVA
Clinical trial enrollment
PE
Pulmonary embolism
SARS-CoV-2
Stroke
VTE
Venous thromboembolic disease
Journal
BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551
Informations de publication
Date de publication:
15 May 2023
15 May 2023
Historique:
received:
30
08
2022
accepted:
30
04
2023
medline:
17
5
2023
pubmed:
16
5
2023
entrez:
15
5
2023
Statut:
epublish
Résumé
Assessment for risks associated with acute stable COVID-19 is important to optimize clinical trial enrollment and target patients for scarce therapeutics. To assess whether healthcare system engagement location is an independent predictor of outcomes we performed a secondary analysis of the ACTIV-4B Outpatient Thrombosis Prevention trial. A secondary analysis of the ACTIV-4B trial that was conducted at 52 US sites between September 2020 and August 2021. Participants were enrolled through acute unscheduled episodic care (AUEC) enrollment location (emergency department, or urgent care clinic visit) compared to minimal contact (MC) enrollment (electronic contact from test center lists of positive patients).We report the primary composite outcome of cardiopulmonary hospitalizations, symptomatic venous thromboembolism, myocardial infarction, stroke, transient ischemic attack, systemic arterial thromboembolism, or death among stable outpatients stratified by enrollment setting, AUEC versus MC. A propensity score for AUEC enrollment was created, and Cox proportional hazards regression with inverse probability weighting (IPW) was used to compare the primary outcome by enrollment location. Among the 657 ACTIV-4B patients randomized, 533 (81.1%) with known enrollment setting data were included in this analysis, 227 from AUEC settings and 306 from MC settings. In a multivariate logistic regression model, time from COVID test, age, Black race, Hispanic ethnicity, and body mass index were associated with AUEC enrollment. Irrespective of trial treatment allocation, patients enrolled at an AUEC setting were 10-times more likely to suffer from the adjudicated primary outcome, 7.9% vs. 0.7%; p < 0.001, compared with patients enrolled at a MC setting. Upon Cox regression analysis adjustment patients enrolled at an AUEC setting remained at significant risk of the primary composite outcome, HR 3.40 (95% CI 1.46, 7.94). Patients with clinically stable COVID-19 presenting to an AUEC enrollment setting represent a population at increased risk of arterial and venous thrombosis complications, hospitalization for cardiopulmonary events, or death, when adjusted for other risk factors, compared with patients enrolled at a MC setting. Future outpatient therapeutic trials and clinical therapeutic delivery programs of clinically stable COVID-19 patients may focus on inclusion of higher-risk patient populations from AUEC engagement locations. ClinicalTrials.gov Identifier: NCT04498273.
Sections du résumé
BACKGROUND
BACKGROUND
Assessment for risks associated with acute stable COVID-19 is important to optimize clinical trial enrollment and target patients for scarce therapeutics. To assess whether healthcare system engagement location is an independent predictor of outcomes we performed a secondary analysis of the ACTIV-4B Outpatient Thrombosis Prevention trial.
METHODS
METHODS
A secondary analysis of the ACTIV-4B trial that was conducted at 52 US sites between September 2020 and August 2021. Participants were enrolled through acute unscheduled episodic care (AUEC) enrollment location (emergency department, or urgent care clinic visit) compared to minimal contact (MC) enrollment (electronic contact from test center lists of positive patients).We report the primary composite outcome of cardiopulmonary hospitalizations, symptomatic venous thromboembolism, myocardial infarction, stroke, transient ischemic attack, systemic arterial thromboembolism, or death among stable outpatients stratified by enrollment setting, AUEC versus MC. A propensity score for AUEC enrollment was created, and Cox proportional hazards regression with inverse probability weighting (IPW) was used to compare the primary outcome by enrollment location.
RESULTS
RESULTS
Among the 657 ACTIV-4B patients randomized, 533 (81.1%) with known enrollment setting data were included in this analysis, 227 from AUEC settings and 306 from MC settings. In a multivariate logistic regression model, time from COVID test, age, Black race, Hispanic ethnicity, and body mass index were associated with AUEC enrollment. Irrespective of trial treatment allocation, patients enrolled at an AUEC setting were 10-times more likely to suffer from the adjudicated primary outcome, 7.9% vs. 0.7%; p < 0.001, compared with patients enrolled at a MC setting. Upon Cox regression analysis adjustment patients enrolled at an AUEC setting remained at significant risk of the primary composite outcome, HR 3.40 (95% CI 1.46, 7.94).
CONCLUSIONS
CONCLUSIONS
Patients with clinically stable COVID-19 presenting to an AUEC enrollment setting represent a population at increased risk of arterial and venous thrombosis complications, hospitalization for cardiopulmonary events, or death, when adjusted for other risk factors, compared with patients enrolled at a MC setting. Future outpatient therapeutic trials and clinical therapeutic delivery programs of clinically stable COVID-19 patients may focus on inclusion of higher-risk patient populations from AUEC engagement locations.
TRIAL REGISTRATION
BACKGROUND
ClinicalTrials.gov Identifier: NCT04498273.
Identifiants
pubmed: 37189091
doi: 10.1186/s12879-023-08295-9
pii: 10.1186/s12879-023-08295-9
pmc: PMC10184108
doi:
Substances chimiques
Anticoagulants
0
Banques de données
ClinicalTrials.gov
['NCT04498273']
Types de publication
Randomized Controlled Trial
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
325Subventions
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Organisme : NIH HHS
ID : 1OT2HL156812-01
Pays : United States
Informations de copyright
© 2023. The Author(s).
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