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The purpose of this study is to collect genomic and clinical data among a cohort of hemodialysis patients and analyze the association between genetic markers and the development and severity of illness in response to SARS-CoV-2.
COVID-19 is a novel illness caused by the SARS-CoV-2 virus. It was declared as a global pandemic on March 11, 2020 and since that time there have been outbreaks on every continent except for Antarctica. Preliminary understanding of the virus suggests that some fraction of the population does not manifest clinical disease in response to infection, others manifest a relatively benign course of illness, and still others develop a fulminant course that eventuates in the need for intensive care, mechanical ventilation, or even death. The genetic and epigenetic basis for differential susceptibility remains unknown.
Patients receiving hemodialysis provide a good opportunity to understand genetic and epigenetic susceptibility to SARS-CoV-2. By virtue of their ongoing requirements for care, such patients cannot shelter at home or maintain social distancing, but must instead report to a clinical care setting on a thrice weekly basis. Moreover, such patients often travel to and from dialysis using shared ride services, which furthers opportunity for exposure. Preliminary estimates suggest that rates of SARS-CoV-2 positivity are 2 to 5-fold higher among hemodialysis patients than in the general public. Furthermore, frequent contact with the health care system among dialysis patients makes tracking clinical course comparatively easy.
The purpose of this study is to collect genomic and clinical data among a cohort of hemodialysis patients and analyze the association between genetic markers and the development and severity of illness in response to SARS-CoV-2.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group I | Group I- Asymptomatic patients with SARS-CoV-2 Infection | ||
| Group II | Group II-Symptomatic patients with SARS-CoV-2 Infection |
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| Measure | Description | Time Frame |
|---|---|---|
| SARS-CoV-2 IgG | An average of 6 months | |
| Anti-SARS-CoV-2 IgG | An average of 6 months |
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Inclusion Criteria:
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Type A & B participants must meet all of the following criteria:
3.2 Additional Inclusion Criteria: Type B (prior participant in genomics study)
Type B participants must meet all of the above criteria and the following criteria:
1. Enrollment in prior genomics study.
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| Name | Affiliation | Role |
|---|---|---|
| Jeffrey Connaire, MD | Davita Clinical Research | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| DCR Victorville | Victorville | California | 92394 | United States | ||
| DCR Connecticut |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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| Bridgeport |
| Connecticut |
| 06606 |
| United States |
| DCR Twin Cities | Minneapolis | Minnesota | 55404 | United States |
| DCR Las Vegas | Las Vegas | Nevada | 89128 | United States |
| DCR Bronx | The Bronx | New York | 10461 | United States |
| DCR Canton | Canton | Ohio | 44718 | United States |
| DCR El Paso | El Paso | Texas | 79925 | United States |
| DCR Lewisville | Lewisville | Texas | 75057 | United States |
| DCR San Antonio | San Antonio | Texas | 78230 | United States |
| DCR Norfolk | Norfolk | Virginia | 23502 | United States |
| DCR Milwaukee | Milwaukee | Wisconsin | 53226 | United States |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |