Investigations into Audiovestibular Manifestations in Patients with Psoriatic Arthritis
Bibliographic record
Abstract
OBJECTIVE: Although psoriatic arthritis (PsA) is a common chronic inflammatory rheumatic disease, little is known about audiovestibular impairment in this condition. We aimed to establish whether audiovestibular manifestations were present in patients with PsA. METHODS: A set of 60 consecutive patients who fulfilled the Moll and Wright criteria for PsA and 60 matched controls were studied. During the period of recruitment, individuals were excluded who had a history of cardiovascular disease, cerebrovascular complications, peripheral artery disease, renal insufficiency, syphilis, Meniere disease and other vestibular syndromes, infections involving the inner ear, barotrauma, or were in treatment with ototoxic drugs. RESULTS: Most patients with PsA were men (63%). The mean age at the time of our study was 52.9 years and the mean age at the onset of symptoms was 33 years. Thirty-six (60%) of the 60 patients showed abnormal hearing loss in the audiogram compared to only 5 (8.3%) of the 60 controls (p < 0.001). Values of audiometric tests (pure-tone average and speech reception threshold) yielded significant differences between patients and controls (p < 0.001). The audiogram disclosed a bilateral and symmetrical sensorineural hearing loss (SNHL) in PsA with predominant pattern of high frequency SNHL in patients with PsA (46.7%) compared to controls (8.3%, p < 0.001). Patients with PsA exhibited abnormal vestibular tests more commonly than controls. A significantly increased frequency of abnormal computerized dynamic posturography with a predominant vestibular loss pattern was also observed in patients (23.3%) compared to controls (0%, p < 0.001). CONCLUSION: Our current study demonstrates strong evidence for inner ear damage in patients with PsA.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".