Increased Prevalence of Antibodies to Thyroid Peroxidase in Dry Eyes and Mouth Syndrome or Sicca Asthenia Polyalgia Syndrome
Bibliographic record
Abstract
OBJECTIVE: A subset of patients presenting with sicca features suggestive of primary Sjögren's syndrome (pSS) do not fulfill diagnostic or histopathological criteria. This presentation was previously designated as dry eyes and mouth syndrome (DEMS) or sicca asthenia polyalgia syndrome (SAPS). We sought to define the underlying clinical, laboratory, and histological features of these patients. METHODS: The study population consisted of 27 consecutive patients with DEMS/SAPS; 54 patients with pSS served as controls. Medical charts were retrospectively evaluated for clinical and serological data and frozen sera were tested for the presence of antibodies against HIV, hepatitis C virus, and thyroid antigens. Immunohistochemical analysis of paraffin embedded tissues was also performed. RESULTS: Sicca symptoms and nonspecific musculoskeletal pain were the commonest clinical features of patients with DEMS/SAPS; positive titers of antibodies against thyroid peroxidase was the main underlying abnormality found in 16 out of 27 (59.2%) of patients with DEMS/SAPS compared to 11 out of 54 (20.4%) of pSS controls (p = 0.0009). Histological analysis of the minor salivary gland (MSG) biopsies of patients with DEMS/SAPS disclosed a mild inflammatory infiltration of the interstitial tissue with a predominantly perivascular distribution. CONCLUSION: Patients with DEMS/SAPS present with sicca features and nonspecific musculoskeletal complaints, have high prevalence of antithyroid antibodies, and their MSG biopsies demonstrate a mild interstitial lymphocytic infiltration with a predominantly perivascular distribution. In the setting of clinical practice, we propose that in the presence of DEMS/SAPS testing for antithyroid antibody should be performed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".