Psoriasis and Glucose-6 Phosphate Dehydrogenase Deficiency: A Rare Association?
Bibliographic record
Abstract
Glucose-6 phosphate dehydrogenase (G6PD) is a vital enzyme for erythrocytes to be protected against oxidative stress. Its deficiency is the most common erythrocyte enzyme defect. Deficiency can cause acute or chronic hemolysis episodes. Hemolysis can be augmented by infections or drug use. Psoriasis is a complex autoimmune disorder characterized by skin involvement with inflammatory plaques. An otherwise healthy 37 years old male patient presented to internal medicine outpatient clinic with fatigue, generalized pain and skin lesions. Patient states that his sypmtoms got worse and worse after he took those medications. His past medical history was unremarkable. His family history reveals that his brother’s son was recently diagnosed with G6PD deficiency. Quantitavite G6PD enzyme assay did not reveal any enzyme activity. Results were consistent with chronic hemolysis and G6PD enzyme deficiency was diagnosed as the cause. Patient’s skin lesions were consulted with dermatology and he was diagnosed with psoriasis. Because he had G6PD deficiency, he was only prescribed topical treatment. The patient was relieved of all generalized body pain. Here we present a case who presented with erythematous and squamataous plaques and malaise/generalized pain, diagnosed with G6PD deficiency and psoriasis. We discuss the possible relationship between two conditions. J Med Cases. 2015;6(11):493-497 doi: https://doi.org/10.14740/jmc2318e
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".