Brachial Artery Endothelial-dependent Flow-mediated Dilation Identifies Early-stage Endothelial Dysfunction in Systemic Sclerosis and Correlates with Nailfold Microvascular Impairment
Bibliographic record
Abstract
OBJECTIVE: To assess possible correlations between endothelial-dependent flow-mediated dilation (FMD) of the brachial artery and nailfold videocapillaroscopy (NVC) in patients with systemic sclerosis (SSc). Evidence has shown that vascular impairment in SSc may be a sign of endothelial dysfunction involving both microvascular and macrovascular systems, although the pathological mechanisms of the dysfunction are poorly understood. METHODS: Forty-three consecutive patients (mean age 51 +/- 11 yrs) with SSc were studied. Thirty patients had limited cutaneous SSc, 13 had diffuse cutaneous SSc. Twenty-seven healthy subjects (mean age 48 +/- 8 yrs) were recruited as controls. Ultrasound assessment of FMD was performed on all subjects in order to evaluate macrovascular function. Patients were divided into 3 patterns of microvascular damage on the basis of NVC (early, active, and late), and the microangiopathy evolution score was calculated, as reported elsewhere. RESULTS: FMD was significantly reduced in patients with SSc compared to healthy subjects [median 8.0% (3.0%-9.0%) vs 15.0% (12.0%-16.0%), respectively; p < 0.0001]. Patients with an early pattern of microangiopathy showed reduced FMD values compared to controls (p = 0.0001). FMD was significantly reduced in patients with SSc who had the late NVC pattern of microangiopathy compared to active and early patterns (p = 0.003 and p = 0.001, respectively). FMD was inversely correlated with the microvascular damage rate in patients with SSc (p < 0.0001). CONCLUSION: We demonstrated the simultaneous presence of macrovascular and microvascular impairment in patients with SSc, which was already present in the early phase of the vascular disease.
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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 | 0.001 | 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 | 0.001 |
| 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".