- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04695756
Liver Transplantation and Coronavirus Disease 2019 (COVID-19)
Impact of Coronavirus Disease 2019 (COVID-19) Epidemic in Patients Requiring Liver Transplantation
The COVID-19 pandemic together with the strategies that are applied to control it are generating high morbidity and mortality worldwide. Its impact on health systems is worrisome, affecting all the population, even those who are not infected or at risk.
The indirect impact of the COVID-19 pandemic on the access to the medical care of patients on the waiting list for organ transplantation might be multifactorial, including the need to relocate health-related resources (medical personnel, supplies, critical care unit beds, etc), the risk of COVID-19 transmission among donors or patients on the waiting list, and also after transplantation. Additionally, the pandemic reduces significantly the donor pool.
We consider that it is important to assess the impact that the pandemic has in particular individual populations, such as in patients requiring a liver transplant. Along with the lockdown, the rate of organ donation has dropped, and liver transplant programs across the world have reduced or suspended their activity. Unfortunately, this is invariably associated with an increase in mortality on the waiting list.
Knowing the impact of the pandemic on patients who require a liver transplant will provide tools to understand and plan the health resources related to the care of these patients, not only at present but also in the following years.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The COVID-19 pandemic together with the strategies that are applied to control it is generating high morbidity and mortality worldwide. Its impact on health systems is worrisome, affecting all the population, even those who are not infected or at risk.
The indirect impact of the COVID-19 pandemic on the access to the medical care of patients on the waiting list for organ transplantation might be multifactorial, including the need to relocate health-related resources (medical personnel, supplies, critical care unit beds, etc), the risk of COVID-19 transmission among donors or patients on the waiting list, and also after transplantation. Additionally, the pandemic reduces significantly the donor pool.
We consider that it is important to assess the impact that the pandemic has in particular individual populations, such as in patients requiring a liver transplant. Along with the lockdown, the rate of organ donation has dropped, and liver transplant programs across the world have reduced or suspended their activity. Unfortunately, this is invariably associated with an increase in mortality on the waiting list.
Knowing the impact of the pandemic on patients who require a liver transplant will provide tools to understand and plan the health resources related to the care of these patients, not only at present but also in the following years.
The primary objectives of the study will be
To Compare the following outcomes in patients requiring liver transplantation during the epidemiological weeks of COVID-19 pandemic in Argentina and the same weeks of 2019 according to national data registry of procurement and transplantation:
- Number of patients registered on the liver transplant waiting list
- Number of deaths on the liver transplant waiting list
- Number of liver transplants
For this purpose, we will carry out a time series analyses using the national data registry of procurement and transplantation database. The effect of both periods will be analysed as time interrupted series, which is a quasi-experimental design. The following two periods will be compared as segments of the interrupted time series:
- Baseline period (Period not exposed to the pandemic represented by the same epidemiological weeks of 2019 )
- Pandemic period COVID-19. (Period between the epidemiological weeks of 2020 affected by the pandemic declared by the WHO from 11/March/2020)
The unit of analysis will be the epidemiological weeks, and the study population will be all Argentinian over 17 years of age. Regarding patients who require liver transplantation, those who registered for isolated liver transplantation in the National Procurement and Transplant Institute will be included.
A Poisson regression model will be used to assess the association between the period and the incidence of the events of interest. ARIMA models will be used following the 4 steps proposed by Box and Jenkings
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
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-
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Buenos Aires, Argentina, 1643
- Recruiting
- Hospital Italiano de Buenos Aires
-
Contact:
- Sebastián Marciano, MD, MsC
- Phone Number: 1150066086
- Email: sebastian.marciano@hospitalitaliano.org.ar
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
This is a population-based study. The study population is the Argentine population.
Regarding the patients, those who are registered on the national waiting list for isolated liver transplantation will be included.
Description
Inclusion Criteria:
- Age > 17 years-old
- Argentinean
Exclusion Criteria:
- none
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
People who require liver transplant
We will compare the year before the beginning of the COVID-19 Pandemia with the period during the COVID-19 Pandemia.
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The exposure of this observational study is the COVID-19 pandemic
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
To compare the number of patients registered on the liver transplant waiting list during the epidemiological weeks of COVID-19 pandemic in Argentina and the same weeks of 2019 according to national data registry of procurement and transplantation
Time Frame: 1 year
|
During the study period, patients who are registered on the transplant waiting list will be included.
The data source will be the national transplant database.
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1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
To compare the number of deaths on the liver transplant waiting list during the epidemiological weeks of COVID-19 pandemic in Argentina and the same weeks of 2019 according to national data registry of procurement and transplantation
Time Frame: 1 year
|
During the study period, patients who die on the transplant waiting list will be registered.
The data source will be the national transplant database.
|
1 year
|
To compare the number of liver transplants during the epidemiological weeks of COVID-19 pandemic in Argentina and the same weeks of 2019 according to national data registry of procurement and transplantation
Time Frame: 1 year
|
During the study period, the number of liver transplants who are performed will be registered.
The data source will be the national transplant database.
|
1 year
|
Collaborators and Investigators
Investigators
- Study Chair: Sebastián Marciano, MS, Msc, Hospital Italiano de Buenos Aires
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1405
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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