Minimal Change Disease with Severe AKI Following the Oxford-Astra-Zeneca SARS-CoV-2 Vaccine
Bibliographic record
Abstract
Introduction: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been associated with an increased mortality worldwide over the last year. Novel vaccines against SARS-CoV-2 offers new perspectives to control the virus. Major side effects of these vaccines, especially those affecting the kidney, appear to be uncommon. Although minimal change disease (MCD) has been reported three times following the Pfizer-BioNTech SARS-CoV-2 vaccine, no cases are described to our knowledge after the Oxford-AstraZeneca vaccine SARS-CoV-2 vaccine. Case Description: A 71-year-old man known for dyslipidemia and a serum creatinine of 0.7 mg/dl presented with nephrotic syndrome and acute kidney injury 13 days after receiving the first injection of the Oxford-AstraZeneca SARS-CoV-2 vaccine. On admission, urine analysis revealed 2321 mg of protein per mmol of creatinine and significant hematuria as well as granular casts. His serum albumin and creatinine were 2.8 g/dl and 10.6 mg/dl, respectively. Polymerase chain reaction for SARS-CoV-2 was negative. A workup to exclude auto-immune disease, active infection and neoplasm was negative. A kidney biopsy was performed 4 days after admission and 17 days after vaccination. It showed minimal change disease with acute tubular injury. Steroid therapy was initiated. Hemodialysis was stopped 38 days after the start of therapy. At dialysis cessation, serum creatinine was 1.4 mg/dl with a marked decreasing in spot microalbuminuria. Discussion: We suspect that this case of MCD might be related to the Oxford-AstraZeneca SARS-CoV-2 vaccine injection. To the best of our knowledge, this would be the first published case of MCD related to this vaccine. However, MCD has been described after other vaccines, including 3 cases after the Pfizer-BioNTech SARS-CoV-2 vaccine. The fact that MCD is now described with different types of SARS-CoV-2 vaccines argues on a potential mechanism not implying a direct effect of the vaccine itself, but a T cell process ignited by the vaccine that leads to podocyte injury. Since vaccination is the most promising way out of the current SARS-CoV-2 pandemic, millions of doses of vaccines will be administered around the world in a near future. Thus, nephrologists should be aware of this rare but reversible potential complication of COVID-19 vaccination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".