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The Study objective is to measure retinal neurovascular coupling and blood flow parameters in patients previously infected with COVID-19, long COVID-19 and healthy age- and sex- matched control subjects
The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is affecting almost all countries in the world and because of its worldwide spread has been declared as pandemic in March 2020. While respiratory symptoms are the main manifestation of acute infection, there is also increasing evidence that neurological and vascular symptoms occur, and it is unknown whether residuals remain after patients have recovered. A recent report shows that changes in the human retina are even present one month after onset of symptoms. The eye, as an extension of the brain, offers the advantage that blood vessels as well as neural tissue can be visualized non-invasively in-vivo. Neurovascular coupling is the ability of neural tissue to adapt its blood flow to its metabolic demands, a phenomenon that does not only occur in the brain, but also in the retina. In the retina, neurovascular coupling can be studied by stimulating the retina with flicker light and measuring the response of the vessels. Retinal neurovascular coupling has been found to be impaired in diseases of the central nervous system (CNS) as well as in diseases associated with endothelial dysfunction. Since COVID-19 comes with CNS manifestations as well as endothelial dysfunction, we speculate that retinal neurovascular coupling might be impaired in patients even after they have recovered from COVID-19 infection. In the current study, retinal neurovascular coupling will be measured in patients who have recovered from COVID-19 infection with and without long COVID-19 and in healthy age- and sex-matched controls with no history of COVID-19 infection. In addition, retinal oxygen saturation, vessel diameters, vessel density as well as retinal and optic nerve head blood flow will be measured. To assess structural changes, measurement of central retinal thickness as well as retinal nerve fiber layer thickness will be performed.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| subjects previously infected with COVID-19 | subjects previously infected with COVID-19 |
| |
| subjects with long COVID-19 | subjects with long COVID-19 according to the WHO-guideline |
| |
| healthy age-and sex- matched control subjects with no history of COVID-19 infection | healthy age-and sex- matched control subjects with no history of COVID-19 infection |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Dynamic Vessel Analyzer (DVA) | Device | Retinal neurovascular coupling, Retinal vessel diameters and Retinal oxygen saturation will be assessed using the DVA |
|
| Measure | Description | Time Frame |
|---|---|---|
| Retinal neurovascular coupling | Retinal neurovascular coupling will be assessed using the DVA | Day 0 |
| Measure | Description | Time Frame |
|---|---|---|
| Retinal vessel diameters | Retinal vessel diameters will be assessed using the DVA | Day 0 |
| Retinal oxygen saturation | Retinal oxygen saturation will be assessed using the DVA |
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Inclusion Criteria:
Inclusion criteria for healthy subjects
Inclusion criteria for subjects with history of COVID-19 infection
Inclusion criteria for subjects with long COVID-19
Exclusion Criteria:
Any of the following will exclude a healthy control subject from the study:
Any of the following will exclude a subject with history of COVID-19 infection from the study:
Any of the following will exclude a subject with long COVID-19 from the study:
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A total of 90 subjects will be included:
30 subjects previously infected with COVID-19 30 subjects with long COVID-19 30 age-and sex- matched subjects with no history of COVID-19 infection
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Medical University of Vienna, Department of Clinical Pharmacology | Recruiting | Vienna | State of Vienna | 1090 | Austria |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38600099 | Derived | Pai V, Bileck A, Hommer N, Janku P, Lindner T, Kauer V, Rumpf B, Haslacher H, Hagn G, Meier-Menches SM, Schmetterer L, Schmidl D, Gerner C, Garhofer G. Impaired retinal oxygen metabolism and perfusion are accompanied by plasma protein and lipid alterations in recovered COVID-19 patients. Sci Rep. 2024 Apr 10;14(1):8395. doi: 10.1038/s41598-024-56834-4. |
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| Fourier domain optical coherence tomography (FDOCT) | Device | Retinal blood velocities and Retinal blood flow will be assessed using the FDOCT |
|
| Optical coherence tomography (OCT) | Device | Retinal nerve fiber layer thickness, Central retinal thickness and Retinal vessel density will be assessed using the OCT |
|
| Laser Speckle Flowgraphy (LSFG) | Device | Normalized blur and Relative flow volume will be assessed using the LSFG |
|
| Proteomics and Metabolites in Plasma, tear fluid and finger sweat | Diagnostic Test | Proteomics and Metabolites in Plasma, tear fluid and finger sweat will be assessed using a Blooddraw, filter paper and Schirmer-test |
|
| Day 0 |
| Retinal blood velocities | Retinal blood velocities will be assessed using FDOCT | Day 0 |
| Retinal blood flow | Retinal blood flow will be assessed using FDOCT | Day 0 |
| Ocular perfusion pressure | Ocular perfusion pressure is going to be calulated | Day 0 |
| Retinal nerve fiber layer thickness | Retinal nerve fiber layer thickness will be assessed using OCT | Day 0 |
| Central retinal thickness | Central retinal thickness will be assessed using OCT | Day 0 |
| Retinal vessel density | Retinal vessel density will be assessed using OCT | Day 0 |
| Normalized blur | Normalized blur will be assessed using LSFG | Day 0 |
| Relative flow volume | Relative flow volume will be assessed using LSFG | Day 0 |
| Proteomics and Metabolites in Plasma | Proteomics and Metabolites in Plasma will be assessed through a Blood Sample | Day -14 to -1 |
| Proteomics and Metabolites in tear fluid | Proteomics and Metabolites in tear fluid will be assessed using Schirmer | Day 0 |
| Proteomics and Metabolites in finger sweat | Proteomics and Metabolites in finger sweat will be assessed using finger sweat filters | Day 0 |
| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D000094024 | Post-Acute COVID-19 Syndrome |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D014777 | Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D000094025 | Post-Infectious Disorders |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| ID | Term |
|---|---|
| D041623 | Tomography, Optical Coherence |
| ID | Term |
|---|---|
| D041622 | Tomography, Optical |
| D061848 | Optical Imaging |
| D003952 | Diagnostic Imaging |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D014054 | Tomography |
| D008919 | Investigative Techniques |
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