Underestimation of Risk of Carotid Subclinical Atherosclerosis by Cardiovascular Risk Scores in Patients with Psoriatic Arthritis
Bibliographic record
Abstract
OBJECTIVE: To test the performances of established cardiovascular (CV) risk scores in discriminating subclinical atherosclerosis (SCA) in patients with psoriatic arthritis. METHODS: These scores were calculated: Framingham risk score (FRS), QRISK2, Systematic COronary Risk Evaluation (SCORE), 10-year atherosclerotic cardiovascular disease risk algorithm (ASCVD) from the American College of Cardiology and the American Heart Association, and the European League Against Rheumatism (EULAR)-recommended modified versions (by 1.5 multiplication factor, m-). Carotid intima-media thickness > 0.9 mm and/or the presence of plaque determined by ultrasound were classified as SCA+. RESULTS: We recruited 146 patients [49.4 ± 10.2 yrs, male: 90 (61.6%)], of whom 142/137/128/118 patients were eligible to calculate FRS/QRISK2/SCORE/ASCVD. Further, 62 (42.5%) patients were SCA+ and were significantly older, with higher systolic blood pressure and higher low-density lipoprotein cholesterol (all p < 0.05). All CV risk scores were significantly higher in patients with SCA+ [FRS: 7.8 (3.9-16.5) vs 2.7 (1.1-7.8), p < 0.001; QRISK2: 5.5 (3.1-10.2) vs 2.9 (1.2-6.3), p < 0.001; SCORE: 1 (0-2) vs 0 (0-1), p < 0.001; ASCVD: 5.6 (2.6-12.4) vs 3.4 (1.4-6.1), p = 0.001]. The Hosmer-Lemeshow test revealed moderate goodness of fit for the 4 CV scores (p ranged from 0.087 to 0.686). However, of the patients with SCA+, those identified as high risk were only 44.1% (by FRS > 10%), 1.8% (QRISK2 > 20%), 10.9% (SCORE > 5%), and 43.6% (ASCVD > 7.5%). By applying the EULAR multiplication factor, 50.8%/14.3%/14.5%/54.5% of the patients with SCA+ were identified as high risk by m-FRS/m-QRISK2/m-SCORE/m-ASCVD, respectively. EULAR modification increased the sensitivity of FRS and ASCVD in discriminating SCA+ from 44% to 51%, and 44% to 55%, respectively. CONCLUSION: All CV risk scores underestimated the SCA+ risk. EULAR-recommended modification improved the sensitivity of FRS and ASCVD only to a moderate level.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".