Salivary Gland Focus Score Is Associated With Myocardial Fibrosis in Primary Sjögren Syndrome Assessed by a Cardiac Magnetic Resonance Approach
Bibliographic record
Abstract
Objective. The risk of clinically manifested major cardiovascular (CV) events in primary Sjögren syndrome (pSS) remains unclear. This study aimed to assess myocardial fibrosis in pSS and investigate the associated disease characteristics by cardiac magnetic resonance imaging (cMRI). Methods. We performed a cross-sectional study of patients with pSS without cardiac symptoms. Labial gland biopsy was documented in 44 patients (85%). Patients without CV risk factors underwent contrast-enhanced cMRI. Late gadolinium enhancement (LGE) was used to assess myocardial fibrosis. Myocardial edema was assessed using T2-weighted imaging (T2WI). We compared the left ventricular (LV) geometry and function between the groups with and without LGE. Further, we explored the associations of cMRI abnormalities with pSS characteristics. Results. Fifty-two women with pSS (median age 55, IQR 47.0–65.7 yrs) were enrolled in the study. LGE was observed in 10 patients (19%), two of whom showed high intensity on T2WI. High intensity on T2WI was observed in 3 patients (5.8%). LV mass index and LV mass/end-diastolic volume tended to be higher in the LGE-positive group than in the LGE-negative group ( P = 0.078 and 0.093, respectively). Salivary gland focus score (FS) ≥ 3 was independently associated with LGE-positive in the multivariable analysis (OR 11.21, 95% CI 1.18–106.80). Conclusion. Subclinical myocardial fibrosis, as detected by cMRI, was frequent in patients with pSS without cardiac symptoms. Abnormal cMRI findings were associated with salivary gland FS ≥ 3.
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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".