Accelerated vascular ageing after COVID-19 infection: the CARTESIAN study
Bibliographic record
Abstract
BACKGROUND AND AIMS: Increasing evidence suggests that COVID-19 survivors experience long-term cardiovascular complications possibly through development of vascular damage. The study aimed to investigate whether accelerated vascular ageing occurs after COVID-19 infection, and if so, identify its determinants. METHODS: This prospective, multicentric, cohort study, included 34 centres in 16 countries worldwide, in 4 groups of participants-COVID-19-negative controls (ⅰ) and three groups of individuals with recent (6 ± 3 months) exposure to SARS-CoV-2: not hospitalized (ⅱ), hospitalized in general wards (ⅲ), and hospitalized in intensive care units (ⅳ). The main outcome was carotid-femoral pulse wave velocity (PWV), an established biomarker of large artery stiffness. RESULTS: 2390 individuals (age 50 ± 15 years, 49.2% women) were recruited. After adjustment for confounders, all COVID-19-positive groups showed higher PWV (+0.41, +0.37, and +0.40 m/s for groups 2-4, P < .001, P = .001 and P = .003) vs. controls [PWV 7.53 (7.09; 7.97) m/s adjusted mean (95% CI)]. In sex-stratified analyses, PWV differences were significant in women [PWV (+0.55, +0.60, and +1.09 m/s for groups 2-4, P < .001 for all)], but not in men. Among COVID-19 positive women, persistent symptoms were associated with higher PWV, regardless of disease severity and cardiovascular confounders [adjusted PWV 7.52 (95% CI 7.09; 7.96) vs. 7.13 (95% CI 6.67; 7.59) m/s, P < .001]. A stable or improved PWV after 12 months was found in the COVID+ groups, whereas a progression was observed in the COVID- group. CONCLUSIONS: COVID-19 is associated with early vascular ageing in the long term, especially in women.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".