A 67-Year-Old Man with Chronic Lymphocytic Leukemia (CLL) on Maintenance Therapy with Ibrutinib with Persistent SARS-CoV-2 Infection Unresponsive to Antiviral Treatments
Bibliographic record
Abstract
BACKGROUND SARS-CoV-2 infection can persist in immunocompromised patients with hematological malignancies, despite antiviral treatment. This report is of a 67-year-old man with chronic lymphocytic leukemia (CLL), secondary hypogammaglobulinemia, and thrombocytopenia on maintenance therapy with ibrutinib, with persistent SARS-CoV-2 infection unresponsive to antiviral treatment, including remdesivir, nirmatrelvir/ritonavir (Paxlovid), and tixagevimab/cilgavimab (Evusheld). CASE REPORT The patient was admitted to our hospital 3 times. During his first hospitalization, he was treated with 5-day course of remdesivir and intravenous steroids; however, antigen and molecular nasopharyngeal swabs were persistently positive, and he was discharged home. Due to respiratory worsening, he was rehospitalized, and despite being treated initially with tixagevimab/cilgavimab, and subsequently with a remdesivir course of 5 days, SARS-CoV-2 tests remained persistently positive. During his third hospital stay, our patient was subjected to combined therapy with remdesivir and nirmatrelvir/ritonavir for 5 days, obtaining a significant reduction of viral load at both antigen and molecular testing. As an ultimate attempt to achieve a negative status before discharge, a 10-day course of combined remdesivir and nirmatrelvir/ritonavir was administered, with a temporary reduction of viral load, followed by a sudden increase immediately after the discontinuation of Paxlovid. Due to worsening hematological disease and bacterial over-infections, the patient gradually worsened until death. CONCLUSIONS This is an emblematic case of correlation between persistent SARS-CoV-2 infection and immunosuppression status in hematological hosts. In these patients, the viral load remains high, favoring the evolution of the virus, and the immunodeficiency makes it difficult to identify the appropriate therapeutic approach.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".