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| Name | Class |
|---|---|
| Universitätsklinikum Hamburg-Eppendorf | OTHER |
| University Hospital, Aachen | OTHER |
| Transplantationszentrum Köln-Merheim | OTHER |
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This non-interventional, observational study retrospectively (and in parts prospectively) investigates, if a Covid-19 associated Nephritis, diagnosed by Urine-dipstick and further Urine-analyses on addmission, can help to predict later complications, adverse outcomes and later need for ICU-capacity in Covid-19 patients as well as can guide preventive strategies.
Parameters predicting risks for Covid-19 patients are urgently sought. The current study investigates, if Covid-19 associated nephritis indicating systemic cappillary leak syndrome/severe nephrotic syndrome could be the major driver for complications, predictor for respiratory failure and later need for ICU, and death.
This study intends to generate an algorithm for University hospitals, which allows early detection of Covid-19 associated nephritis and to classify the risk for respiratory decompensation by quantification of severity of nephrotic syndrome.
The rationale of the observational study can be explained by the hypothesis that Covid-19 causes Nephritis: Podocytes express high levels of ACE2, which makes the glomerulus to a target for Covid-19. Other zoonoses, such as Hanta-virus, are a well described cause of nephrotic syndrome inducing cardiopulmonary syndrome. Life-threatening complications of severe nephrotic syndrome are well known as are preventive therapies.
Covid-19 ICU patients with nephritis have
In conclusion, ACE2 in the respiratory tract is the gateway for Covid-19 for infection, however, the study postulates that Covid-19 associated nephritis and severe cappillary leak/nephrotic syndrome is a major driver of adverse outcome. If confirmed by others, these findings and algorithm would allow early prediction of later need for ICU-capacity, better allocation of patients for clinical trials, and preventive strategies focused on the nephrotic syndrome including treatment, which can save lives. Same might apply for risk-evaluation of outpatients.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| low risk | This group has a normal urine status on admission to hospital. Abnormal urine status is defined anuric OR as 2* or more of the following findings:
| ||
| intermediate risk | This group has an abnormal urine status on admission to hospital WITHOUT serum-albumin below 2.0 g/dl AND WITHOUT antithrombin III level below 70%. | ||
| high risk | This group has an abnormal urine status on admission to hospital PLUS serum-albumin below 2.0 g/dl OR antithrombin III level below 70%. |
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| Measure | Description | Time Frame |
|---|---|---|
| Time to Disease-Aggravation | Time (in days) from hospital admission to transferral to ICU (ICU level high) OR time (in days) from Hospital Admission to Death | during first 10 days after admission to hospital |
| Measure | Description | Time Frame |
|---|---|---|
| Complications | Number of Complications are defined as
| during first 10 days after admission to hospital |
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Inclusion Criteria:
Exclusion Criteria:
1) Patient expressed unwillingness to participate in observational studies during hospital admission.
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This observational study investigates the outcome of patients with approved Covid-19 diagnosis.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Medical Center Goettingen | Göttingen | Germany |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32423587 | Background | Gross O, Moerer O, Weber M, Huber TB, Scheithauer S. COVID-19-associated nephritis: early warning for disease severity and complications? Lancet. 2020 May 16;395(10236):e87-e88. doi: 10.1016/S0140-6736(20)31041-2. Epub 2020 May 6. No abstract available. | |
| 32402155 | Background | Puelles VG, Lutgehetmann M, Lindenmeyer MT, Sperhake JP, Wong MN, Allweiss L, Chilla S, Heinemann A, Wanner N, Liu S, Braun F, Lu S, Pfefferle S, Schroder AS, Edler C, Gross O, Glatzel M, Wichmann D, Wiech T, Kluge S, Pueschel K, Aepfelbacher M, Huber TB. Multiorgan and Renal Tropism of SARS-CoV-2. N Engl J Med. 2020 Aug 6;383(6):590-592. doi: 10.1056/NEJMc2011400. Epub 2020 May 13. No abstract available. |
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Quesionnaires will be faxed to principal investigator and be analyzed by the department of medical statistics.
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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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| Resources |
| during hospital stay, up to 2 months |
| Blood-test |
| during hospital stay, up to 2 months |
| 34300217 | Derived | Gross O, Moerer O, Rauen T, Bockhaus J, Hoxha E, Jorres A, Kamm M, Elfanish A, Windisch W, Dreher M, Floege J, Kluge S, Schmidt-Lauber C, Turner JE, Huber S, Addo MM, Scheithauer S, Friede T, Braun GS, Huber TB, Blaschke S. Validation of a Prospective Urinalysis-Based Prediction Model for ICU Resources and Outcome of COVID-19 Disease: A Multicenter Cohort Study. J Clin Med. 2021 Jul 9;10(14):3049. doi: 10.3390/jcm10143049. |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |