Increased Incidence but Lack of Association Between Cardiovascular Risk Factors in Adults Born Preterm
Bibliographic record
Abstract
Preterm birth incurs an increased risk of early cardiovascular events and death. In the general population, cardiovascular risk factors cluster in the context of inflammation and oxidative stress. Whether this also occurs in young adults born preterm is unknown. We analyzed 101 healthy young adults (ages 18-29) born preterm (≤29 weeks of gestation) and 105 full-term controls, predominantly (90%) white. They underwent a comprehensive clinical and biological evaluation, including measurement of blood pressure, lung function (spirometry), glucose metabolism (fasting glucose, glycated hemoglobin, and oral glucose tolerance test), as well as biomarkers of inflammation and oxidative stress. Individuals born preterm were at higher risk than those born full-term of stage ≥1 hypertension (adjusted odds ratio, 2.91 [95% CI, 1.51-5.75]), glucose intolerance (adjusted odds ratio, 2.22 [95% CI, 1.13-4.48]), and airflow limitation (adjusted odds ratio, 3.47 [95% CI, 1.76-7.12]). Hypertension was strongly associated with adiposity and with glucose intolerance in participants born full-term but not in those born preterm. We did not find any group difference in levels of biomarkers of inflammation and oxidative stress. In individuals born preterm, inflammation, and oxidative stress were not related to hypertension or glucose intolerance but were associated with adiposity. In those born preterm, cardiovascular risk factors were not related to each other suggesting different pathophysiological pathways leading to the development of cardiovascular risk following preterm birth. Clinicians should consider screening for these abnormalities irrespectively of other risk factors in this at-risk population. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT03261609.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".