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
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

325

Subventions

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).

Références

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Auteurs

Joseph Bledsoe (J)

Intermountain Healthcare, Emergency Medicine and Trauma, Salt Lake City, UT, USA. Joseph.bledsoe@imail.org.
Intermountain Medical Center, Department of Medicine, 5121 S. Cottonwood Drive, Murray, UT, 84157, USA. Joseph.bledsoe@imail.org.

Scott C Woller (SC)

Intermountain Medical Center, Department of Medicine, 5121 S. Cottonwood Drive, Murray, UT, 84157, USA.

Maria Brooks (M)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Frank C Sciurba (FC)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Jerry A Krishnan (JA)

Division of Pulmonary, Critical Care, Sleep, and Allergy, University of Illinois, Chicago, IL, USA.

Deborah Martin (D)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Peter Hou (P)

Brigham and Women's Hospital, Boston, MA, USA.

Janet Y Lin (JY)

Department of Emergency Medicine, University of Illinois, Chicago, IL, USA.

Andrei Kindzelski (A)

National Heart, Lung, and Blood Institute, Bethesda, MD, USA.

Eileen Handberg (E)

School of Medicine, University of Florida, Gainesville, FL, USA.

Bridget-Anne Kirwan (BA)

SOCAR Research SA, Nyon, Switzerland.

Elaine Zaharris (E)

Brigham and Women's Hospital, Boston, MA, USA.

Lauren Castro (L)

Division of Pulmonary, Critical Care, Sleep, and Allergy, University of Illinois, Chicago, IL, USA.

Nancy L Shapiro (NL)

Department of Pharmacy Practice, College of Pharmacy, University of Illinois, Chicago, IL, USA.

Carl J Pepine (CJ)

School of Medicine, University of Florida, Gainesville, FL, USA.

Sarah Majercik (S)

Intermountain Healthcare, Emergency Medicine and Trauma, Salt Lake City, UT, USA.

Zhuxuan Fu (Z)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Yongqi Zhong (Y)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Vidya Venugopal (V)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Yu-Hsuan Lai (YH)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Paul M Ridker (PM)

Brigham and Women's Hospital, Boston, MA, USA.

Jean M Connors (JM)

Brigham and Women's Hospital, Boston, MA, USA.

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