Long-term effects of SARS-CoV-2 infection on blood vessels and blood pressure – LOCHINVAR
Bibliographic record
Abstract
OBJECTIVE: The COVID-19 pandemic has been linked to endothelial dysfunction and renin-angiotensin-aldosterone system (RAAS) dysregulation, potentially worsening hypertension. Longitudinal studies are needed to establish COVID-19's lasting effects on blood pressure (BP) and endothelial function. Our objective was to determine whether COVID-19 increases future hypertension risk by comparing BP and endothelial function in nonhypertensive COVID-19 survivors with nonhypertensive controls. METHODS: This single-centre prospective longitudinal study included participants without hypertension history, with cases being hospital-admitted COVID-19 survivors and controls having negative SARS-CoV-2 antibody tests. Ambulatory blood pressure monitoring, flow-mediated dilatation (FMD), 6-min walk test (6MWT), and quality of life (QoL) assessments were conducted at baseline and 12 months. RAAS phenotyping was performed at baseline. Data analysis used paired t-tests and multivariable regression on full and per-protocol datasets. RESULTS: The full ( n = 97) and per-protocol ( n = 66) datasets included 37 and 15 cases respectively. Median ages (IQR: interquartile range) were 49.0 (43.0-53.5) and 50.0 (42-54.0) years. Baseline RAAS parameters were similar. Multivariable adjusted analyses in the per-protocol group showed SARS-CoV-2 positive participants had a 12-month increase in mean systolic BP (4.57 mmHg, [95% CI -0.04 to 9.18], P = 0.052), diastolic BP (4.46 mmHg [1.01 to 7.90], P = 0.012), decrease in FMD (-3.15% [-6.33 to 0.04], P = 0.053) and improvement in 6MWT (145.6 m [49.1 to 242.1], P = 0.004) compared to controls. QoL assessments indicated continued challenges for recovered COVID-19 individuals at 12 months. CONCLUSIONS: Persistent vascular dysfunction and BP increase post-COVID-19 underscore the need for further studies on the long-term risk of hypertension and cardiovascular disease. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/study/NCT05087290.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".