Effect of the Use of Anticoagulant Therapy During Hospitalization and Discharge in Patients With COVID-19 Infection

NCT ID: NCT04508439

Last Updated: 2020-08-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

130 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-06-20

Study Completion Date

2020-12-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Viral infections provoke the systemic inflammatory response and cause an imbalance between the procoagulant and anticoagulant homeostatic mechanisms. Multiple pathogenic mechanisms are involved, including endothelial dysfunction, increased von Willebrand factor, Toll receptor activation, and tissue factor pathway activation. D-dimer levels greater than 1000 ng / mL are associated with an 18-fold increased risk of mortality. In this context, many patients may require prophylaxis or antithrombotic treatment with low molecular weight heparins. Currently, there is no validated scheme on the dose and timing of the use of antithrombotic drugs.

The study aims to identify the effect of two anticoagulant strategies (prophylactic and therapeutic) on the progression to ventilatory support or death in patients with COVID-19 infection who require hospital care.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Randomized clinical trial in patients with a confirmed infection by COVID-19 who require hospital treatment and subsequent ambulatory surveillance.

Study population. Patients with a diagnosis by PCR of COVID 19, over 18 years of age from the High Specialty Hospital of Ixtapaluca, who meet the inclusion criteria.

Statistic analysis. The student's T-test was carried out to identify the difference in the means of the quantitative variables between the groups. A value of P ≤ 0.05, 95% CI will be considered significant. For the hypothesis test, the chi-square test will be performed, considering a p≤ 0.05, 95% CI value to be significant.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Covid19 Pneumonia Coagulation Disorder Pulmonary Embolism

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

* Initially they will be randomized into two blocks, the first based on prophylactic Enoxaparin (Numbers 1 to 64) and the second (Numbers 65 to 128) will be assigned to the Enoxaparin therapeutic regimen arm at doses of 1mg / kg/dose twice up to date
* During hospitalization, the clinical evolution will be evaluated according to the requirements of mechanical ventilation, the reduction in D-Dimer levels and the clinical outcome (discharge or death).
* Those patients who are discharged will be Randomized in two following treatment arms
* The allocation of patients in the outpatient stage will be carried out randomly 1: 1 to receive Rivaroxaban 10mg PO every 24hrs or only clinical follow-up.
* Follow-up of adverse events will be carried out in the Hematology outpatient clinic with a first consultation 15 days after discharge and a second consultation 30 days after discharge. With dimer D, ferritin, protein C, blood count, ESR and on day 30 with CAT.
Primary Study Purpose

TREATMENT

Blinding Strategy

DOUBLE

Participants Caregivers

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Prophylactic enexaparin

Enoxaparin dose of 1mg / kg / dose twice daily

Group Type EXPERIMENTAL

Enoxaparin

Intervention Type DRUG

Identify the benefit of different doses of low molecular weight heparin (enoxaparin) on the established clinical response due to lack of ventilatory support, length of hospital stay or death in patients requiring hospital care for COVID-19 infection.

Therapeutic Enoxaparin

Enoxaparin dose of 1mg / kg / dose daily

Group Type ACTIVE_COMPARATOR

Enoxaparin

Intervention Type DRUG

Identify the benefit of different doses of low molecular weight heparin (enoxaparin) on the established clinical response due to lack of ventilatory support, length of hospital stay or death in patients requiring hospital care for COVID-19 infection.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Enoxaparin

Identify the benefit of different doses of low molecular weight heparin (enoxaparin) on the established clinical response due to lack of ventilatory support, length of hospital stay or death in patients requiring hospital care for COVID-19 infection.

Intervention Type DRUG

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

low molecular weight heparin

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Patients with a diagnosis of COVID-19 infection confirmed by polymerase chain reaction test (RQ-PCR) requiring hospital care for the administration of supplemental oxygen

Exclusion Criteria

* Patients with life expectancy less than 48hrs
* Patients who require ventilatory support upon admission
* Age over 75 years or with a history of atrial fibrillation
* History of venous or arterial thrombosis
* Severe neurological impairment
* Absence of a primary caregiver to supervise the administration of medication
* History of cerebral hemorrhage
* History of previous use of oral anticoagulants
* History of major surgery 30 days prior to admission
* Uncontrolled systemic arterial hypertension
* KDIGO stage III chronic kidney disease or less
* Hemodialysis or peritoneal dialysis treatment
* History of active or inactive cancer
* Pregnant or postpartum patients
Minimum Eligible Age

18 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Hospital Regional de Alta especialidad de Ixtapaluca

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Omar Ramos-Peñafiel

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Hospital Regional de Alta Especialidad de Ixtapaluca

Mexico City, Ixtapaluca, Mexico

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

Mexico

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Omar Ramos-Peñafiel, MD, PhD

Role: CONTACT

+525523351588

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Omar O Ramos-Peñafiel

Role: primary

5523351588

References

Explore related publications, articles, or registry entries linked to this study.

Santos BC, Flumignan RL, Civile VT, Atallah AN, Nakano LC. Prophylactic anticoagulants for non-hospitalised people with COVID-19. Cochrane Database Syst Rev. 2023 Aug 16;8(8):CD015102. doi: 10.1002/14651858.CD015102.pub2.

Reference Type DERIVED
PMID: 37591523 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

NR-CEI-HRAEI-19-2020

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.