A COVID-19 Case Complicated by <i>Candida dubliniensis</i> and <i>Klebsiella pneumoniae</i>-Carbapenem-Resistant Enterobacteriaceae
Bibliographic record
Abstract
There has been increasing evidence of co-infections with coronavirus disease 2019 (COVID-19) pneumonia, which increases the severity of the disease. Organisms such as Klebsiella pneumoniae and Streptococcus pneumoniae have been previously isolated. We present a case of a COVID-19 patient treated with baricitinib and dexamethasone who later developed Klebsiella pneumoniae -carbapenem-resistant Enterobacteriaceae (CRE) and Candida dubliniensis bloodstream infections, treated with meropenem/vaborbactam and micafungin, respectively. These infections are exceedingly rare and are mostly reported in immunosuppressed patients. The finding of these bloodstream infections raises concerns on the cause of immunosuppression in this patient infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) treated with baricitinib and dexamethasone. There has been no report so far of COVID-19 associated with these co-infections. J Med Cases. 2020;11(12):403-406 doi: https://doi.org/10.14740/jmc3588
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".