Cytomegalovirus Reactivation During Steroid Therapy for COVID-19
Bibliographic record
Abstract
Coronavirus disease 2019 (COVID-19) is treated with steroids, often at immunosuppressive doses and for prolonged periods of time, exposing patients to the risk of developing opportunistic infections. Among these, reactivation of cytomegalovirus (CMV) in hospitalized patients with severe COVID-19 has been reported. In this article, we present one case from our own clinical practice and review existing evidence on this topic. The real incidence of CMV reactivation during COVID-19 remains unknown due to the absence of prospective systematic investigations. It may have however a substantial prognostic significance. Therefore, the current recommendation is to maintain a high level of suspicion and search for CMV-deoxyribonucleic acid (DNA) in the presence of suggestive signs and symptoms. CMV reactivation can be successfully treated with antivirals, as our own clinical experience shows. Clin Infect Immun. 2021;6(3):86-91 doi: https://doi.org/10.14740/cii142
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".