Histopathological features of patients with chronic granulomatous disease
Bibliographic record
Abstract
Introduction: Chronic granulomatous disease (CGD) is a primary immunodeficiency caused by defects in the nicotinamide adenine dinucleotide phosphate (NADPH) oxidase complex. Affected patients suffer recurrent life-threatening infections due to phagocyte dysfunction and dysregulation of the immune system. Histopathological assessment is important to help identify the extent and severity of infection and tissue injury. Aim: We present pathological findings in 5 patients with CGD who were followed at our centre. Methods: Patient information was reviewed retrospectively in accordance with local institutional guidelines. All patients had confirmed diagnosis of CGD with mutation in one of the 5 subunits of the NADPH oxidase. Results: Histopathological features of the gastrointestinal tract, liver, and spleen are noted, and include the presence of granulomatous inflammation and pigmented macrophages. Discussion: It is essential for clinicians to keep primary immunodeficiency as one of the differential diagnoses in patients with severe infection or inflammation, whether in the absence or presence of granuloma formation. The detection of PAS-positive macrophages, diffuse granulomatous inflammation, and hepatic abscesses should raise strong suspicion of CGD. Statement of novelty: We describe the histopathological findings of a paediatric cohort of patients with CGD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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".