Slow Recovery from Critical Coronavirus Disease 2019 Pneumonia in an Immunosuppressed Renal Transplant Recipient with Early Acute Cardiorenal Syndrome
Bibliographic record
Abstract
With the global spread of SARS-Cov-2 infections, increasing numbers of COVID-19 cases have been reported in transplant recipients. However, reports are lacking concerning the treatment and prognosis of COVID-19 pneumonia in renal transplant recipients with acute cardiorenal syndrome. We report here the complete clinical course of a renal transplant recipient with critical COVID-19 pneumonia. In the early phase of SARS-Cov-2 infection, the patient exhibited extensive lung lesions and significant acute kidney and heart injuries, which required treatment in the ICU. After correcting the arrhythmia and heart failure, the patient recovered quickly from the acute kidney injury with a treatment of intensive diuresis and strict control of fluid intake. Without cessation of oral immunosuppressive agents, the patient presented a delayed and low antibody response against SARS-Cov-2 and reappeared positive for the virus twice after being discharged. Nevertheless, the patient's pneumonia continued to improve and he fully recovered in 69 days. This effectively treated case may be meaningful and referable for the treatment of COVID-19 pneumonia in other transplant recipients with acute cardiorenal syndrome.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".