Autoimmune manifestations following COVID-19 infection in two individuals with primary immunodeficiency
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Due to widespread vaccination efforts worldwide, the mortality rates linked to COVID-19 have been decreasing. Nevertheless, there persists a notable level of morbidity, marked by increased occurrences of post-COVID-19 conditions. This includes the development of new autoimmune and inflammatory diseases in individuals who have recovered from COVID-19. A more severe progression of COVID-19 has been correlated with an increased probability of newly diagnosed autoimmune disease, and among individuals with pre-existing autoimmune conditions, COVID-19 increased the risk of developing another autoimmune disease. Methods: Our patients’ medical records were analyzed retrospectively, including their medical history. Results: We present two cases of primary immunodeficiency patients. One of them experienced the onset of new autoimmune symptoms, while the other had a worsening of her autoimmune condition following COVID-19 infection. Conclusion: Recognizing the potential connection between COVID-19 and autoimmune conditions is crucial for identifying symptoms promptly in primary immunodeficiency patients and ensuring timely treatment. Further research is required to comprehensively grasp the relationship between COVID-19 and the development of autoimmunity in this particular patient group. Statement of novelty: In this paper, we present a novel exploration into the emergence of autoimmune manifestations in primary immunodeficiency patients subsequent to COVID-19 infection, through an analysis of two distinct case reports.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it