SARS-COV2 Pandemic Serosurvey in a Rare Disease Population

Background:

The SARS-COV2 outbreak has had a major impact on the economy and society. Researchers want to learn how widespread the infection is in the rare disease community. To do this, they will get blood samples from people with rare diseases. They will use at-home sampling. This will allow them to get samples from people across a wide area.

Objective:

To estimate the proportion of people with rare diseases who have SARS-COV2 antibodies in the National Center for the Advancement of Translational Sciences Rare Disease Clinical Research Network (RDCRN) Rare Diseases Survey over time.

Eligibility:

People under age 90 who have a rare disease and have taken part in the Cincinnati Children s Hospital Medical Center (CCHMC) protocol# 2020-0299.

Design:

RDCRN will tell CCHMC participants about this NIH study. RDCRN will only reach out to those who agreed to be contacted for future studies. They will be contacted by phone and email.

Participants will have a virtual visit to collect data. It will take place over the phone.

Participants will be sent a home kit to collect a blood sample. The kit contains gauze, a lancet, bandages, a collection device, and instructions. They will also be given shipping materials. They will give up to 80ul of blood. They will ship the sample back to NIH.

Participants will complete a survey. It can be done online or over the phone.

Participation will last for 1 week....

Study Overview

Status

Completed

Conditions

Detailed Description

It has been demonstrated that respiratory virus outbreaks and pandemics, such as influenza, SARS, MERS, and now the newly emerged SARS-COV2 virus, have a major impact on morbidity and mortality worldwide, as well as having devastating global economic and societal impact. During these outbreaks it is critical to gain a rapid understanding of the exposures and immunity in the general population. Current ongoing serosurvey efforts to estimate the prevalence of infection/exposure are focused on the general population, but these estimates may not be applicable to individuals living with rare diseases. An effort to identify the impact of this pandemic on this community is underway in the Rare Disease Clinical Research Network (RDCRN) led by the Data Management and Coordinating Center (DMCC) at Cincinnati Children s Hospital Medical Center (CCHMC) supported by NCATS. Through a survey they are attempting to evaluate infection rates and impact on those with rare diseases. In this study we propose to enroll a subset of the individuals participating in the RDCRN study to collect blood for SARS-Cov-2 antibody testing. This will allow us to add a biological marker to confirm infection/exposure and further our understanding of how widespread this infection is in the rare diseae community.

Study Type

Observational

Enrollment (Actual)

730

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Maryland
      • Bethesda, Maryland, United States, 20892
        • National Institute of Allergy and Infectious Diseases (NIAID)
    • Pennsylvania
      • Pittsburgh, Pennsylvania, United States, 15261
        • University of Pittsburgh

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 90 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Participants who are enrolled in CCHMC protocol# 2020-0299 Impact of COVID-19 on People Living with Rare Diseases and their Families.

Description

  • INCLUSION CRITERIA:

    1. <90 years of age.
    2. Participant in CCHMC Protocol# 2020-0299.
    3. Will have expressed interest in discussing this study with us when contacted by CCHMC Protocol# 2020-0299 study team.
    4. Willing and able to complete a verbal telephone consent or, has a parent/guardian or Legally Authorized Representative (LAR) able to complete the consent.
    5. Willing to undergo home blood sampling procedures.
    6. Willing to have blood samples stored for future research.

EXCLUSION CRITERIA:

  1. Unable to provide consent and/or does not have a parent, guardian, or LAR to provide consent
  2. Any condition or event that, in the PI s opinion, may substantially increase the risk associated with study participation or compromise the study s scientific objectives. Conditions that exclude a subject are considered to be unlikely, but an example would include having an acute respiratory infection that would make it unsafe to obtain blood samples.
  3. Not willing to have blood samples stored for future research.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Only
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Participants with Rare Diseases
Participants with history of rare disease

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To estimate the proportion of people with rare diseases who have detectable antibodies to SARS-COV2 in the NCATS RDCRN Rare Diseases Survey.
Time Frame: 2 years
Anti-SARS-COV2 IgG, IgA, and IgM measured by ELISA
2 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To estimate the proportion of detectable antibodies across specific categories of rare diseases (e.g., people who live with rare diseases characterized by immune compromise vs. people with hyper-reactivity of the immune system).
Time Frame: 2 years
Variation in the Observed-to-expected ratio of people with detectable Anti-SARS-COV2 IgG, IgA, and IgM measured by ELISA (seroprevalent cases), across subgroups of people with different categories of rare diseases.
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Matthew J Memoli, M.D., National Institute of Allergy and Infectious Diseases (NIAID)

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 19, 2021

Primary Completion (Actual)

June 8, 2022

Study Completion (Actual)

June 8, 2022

Study Registration Dates

First Submitted

October 29, 2020

First Submitted That Met QC Criteria

October 29, 2020

First Posted (Actual)

October 30, 2020

Study Record Updates

Last Update Posted (Estimated)

April 17, 2024

Last Update Submitted That Met QC Criteria

April 16, 2024

Last Verified

July 29, 2022

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 10000210
  • 000210-I

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

.IDP will be made available through the NCI Seronet and clinical trials.gov. IDP that underlies the results in a publication will be shared.

IPD Sharing Time Frame

IPD will be shared starting a maximum of 1 year after publication.

IPD Sharing Access Criteria

The IPD will be available publicly.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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