Primary Hypertrophic Osteoarthropathy: An Update on Patient Features and Treatment
Bibliographic record
Abstract
To the Editor: Hypertrophic osteoarthropathy (HO) is a disorder characterized by changes to the skin and bones, and occurs either in a rare familial primary form [primary hypertrophic osteoarthropathy, (PHO)], also called pachydermoperiostosis (PDP), with a 9:1 male:female prevalence ratio, or more commonly secondary to an underlying pathology1. Key features include digital clubbing, periostosis with bone and joint enlargement, and skin changes, such as pachydermia, abnormal furrowing, seborrhea, and hyperhidrosis. Specific developmental abnormalities have been found in some patients with PHO, such as wide cranial sutures, Wormian bones, and patent ductus arteriosus 2. In adults, when all major clinical features are present, PHO is relatively easy to diagnose. However, for the pediatrician, who often has to contend with an incomplete clinical presentation3, diagnosis may be a challenge. The discovery of mutations in 2 prostaglandin pathway genes HPGD and SLCO2A1 has clarified the autosomal recessive inheritance [Mendelian Inheritance in Man (MIM) #259100, MIM #614441] of this genetically heterogeneous condition4,5,6,7. Here we present 4 previously undescribed patients who exemplify the gene-dependent presentations of PHO and provide diagnostic and treatment advice. The subjects’ written consent was obtained in conformance to the Declaration of Helsinki. Key clinical features are listed in Table 1. Secondary causes of HO were excluded8, and DNA sequence analysis (Supplementary Data available online at jrheum.org) confirmed the clinical diagnoses of PHO/PDP. View this table: Table 1. Patients’ clinical features. A 20-year-old male patient had begun limping at the age of 14 months. At 3 years old, chronic arthritis of both knees was investigated by arthroscopy, with nonspecific chronic synovial inflammation at biopsy. Oligoarticular juvenile idiopathic arthritis (JIA) was diagnosed, and the patient was treated with nonsteroidal antiinflammatory drugs (NSAID), with clinical improvement. At age 5, coarse facies was noted. … Address correspondence to Dr. Gabriella Giancane, Department of Pediatric Immunology, University Medical Centre Utrecht, 3508 AB, Utrecht, the Netherlands. E-mail: gabriella.giancane{at}gmail.com, ggiancan{at}umcutrecht.nl
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".