Monoclonal antibody treatment of COVID-19 in a pregnant woman with common variable immunodeficiency
Bibliographic record
Abstract
BACKGROUND: Since the first reported case of COVID-19, infections due to the virus have ranged from mild to severe. Patients with inborn errors of immunity are thought to be at increased risk for infections such as COVID-19 due to the nature of their disease and being immunocompromised. Similarly, pregnant women by nature of physiological changes in immunity are susceptible to infections and consequently are felt to be at greater risk of contracting COVID-19 with potential grave consequences for not only the mother but also the fetus. Early treatment with novel therapeutics against the SARS-CoV-2 virus to prevent progression and these complications is paramount. CASE PRESENTATION: A 31-year-old woman with a 22-year history of common variable immunodeficiency on subcutaneous immunoglobulin replacement therapy and 24 weeks pregnant with her third child presented to the Emergency Department with two-day history of pharyngitis that progressed to include nasal and chest congestion, non-productive cough and shortness of breath. Her vitals indicated temperature of 35 degrees Celsius, heart rate of 109 beats per minute, blood pressure 142/92 mmHg, respiratory rate 22/min and an oxygen saturation of 99% on room air. A workup was done and she was found to be positive for SARS-CoV-2 virus confirmed by PCR. She had a close contact, her husband, who had tested positive a few days prior. She had been previously vaccinated with three doses of the Moderna COVID-19 (Spikevax ®) vaccine. As she met the criteria for monoclonal antibody treatment, she received Sotrovimab on the same day of testing positive and tolerated it well with no side-effects. Her symptoms resolved within two to three days. CONCLUSION: Our case, is the first to our knowledge, of a pregnant patient with common variable immunodeficiency diagnosed with COVID-19 and symptomatic successfully receiving treatment with Sotrovimab. Her rapid resolution of symptoms makes the use of monoclonal antibodies such as Sotrovimab a safe and useful option in this unique population.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".