Variability in Arterial Stiffness and Vascular Endothelial Function After COVID-19 During 1.5 Years of Follow-Up—Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Increasing long-term observations suggest that coronavirus disease 2019 (COVID-19) vasculopathy may persist even 1.5 years after the acute phase, potentially accelerating the development of atherosclerotic cardiovascular diseases. This study systematically reviewed the variability of brachial flow-mediated dilation (FMD) and carotid-femoral pulse wave velocity (cfPWV) from the acute phase of COVID-19 through 16 months of follow-up (F/U). Databases including PubMed, Web of Science, MEDLINE, and Embase were screened for a meta-analysis without language or date restrictions (PROSPERO reference CRD42025642888, last search conducted on 1 February 2025). The quality of the included studies was assessed using the Newcastle–Ottawa Quality Scale. We considered all studies (interventional pre-post studies, prospective observational studies, prospective randomized, and non-randomized trials) that assessed FMD or cfPWV in adults (aged ≥ 18 years) with or after laboratory-confirmed COVID-19 compared with non-COVID-19 controls or that assessed changes in these parameters during the F/U. Twenty-one studies reported differences in FMD, and 18 studies examined cfPWV between COVID-19 patients and control groups during various stages: acute/subacute COVID-19 (≤30 days from disease onset), early (>30–90 days), mid-term (>90–180 days), late (>180–270 days), and very late (>270 days) post-COVID-19 recovery. Six studies assessed variability in FMD, while nine did so for cfPWV during the F/U. Data from 14 FMD studies (627 cases and 694 controls) and 15 cfPWV studies (578 cases and 703 controls) were included in our meta-analysis. FMD showed a significant decrease compared to controls during the acute/subacute phase (standardized mean difference [SMD]= −2.02, p < 0.001), with partial improvements noted from the acute/subacute phase to early recovery (SMD = 0.95, p < 0.001) and from early to mid-term recovery (SMD = 0.92, p = 0.006). Normalization compared to controls was observed in late recovery (SMD = 0.12, p = 0.69). In contrast, cfPWV values, which were higher than controls in the acute/subacute phase (SMD = 1.27, p < 0.001), remained elevated throughout the F/U, with no significant changes except for a decrease from mid-term to very late recovery (SMD= −0.39, p < 0.001). In the very late recovery, cfPWV values remained higher than those of controls (SMD = 0.45, p = 0.010). In the manuscript, we discuss how various factors, including the severity of acute COVID-19, the persistence of long-term COVID-19 syndrome, and the patient’s initial vascular age, depending on metrics age and cardiovascular risk factors, influenced the time and degree of FMD and cfPWV improvement.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".