Impaired endothelial function in Hodgkin lymphoma survivors receiving mediastinal radiation
Bibliographic record
Abstract
e19526 Background: Mediastinal radiation (RT) is a cause of premature coronary artery disease (CAD) in Hodgkin lymphoma survivors (HLS). Early detection of atherosclerosis may allow for improved health outcomes. Peripheral arterial tonometry (PAT) is a non-invasive technique that measures endothelial function (EF), as a surrogate marker of sub-clinical atherosclerosis. The objective of our study was to evaluate EF in HLS and age-matched controls using PAT and to determine the association of mediastinal RT. Methods: Cross sectional evaluation of 26 HLS age 12–30 years and within a minimum of two years from the completion of therapy and matched controls. Evaluation for CAD risk factors included measurement of body mass index and blood pressure, fasting lipoproteins and hsCRP. A standardized activity questionnaire (HAES, habitual activity estimation score) was completed by all participants. EF was measured using PAT hyperemia ratios (PAT-HR) in all subjects. Results: HLS and controls were similar for baseline variables (mean age 23.2 ± 5 yrs; 23.4 ± 4.6 yrs, p=0.35). HLS were on average 9.9 ± 3.9 yrs post treatment. No differences in EF or cardiovascular risk factors were observed between HLS survivors and controls. However impaired EF, as evidenced by lower PAT-HR (1.66 ± 0.18 vs. 2.08 ± 0.38, p<0.01) was seen in HLS (n=13) who received mantle/mediastinal RT (mean RT dose 2657 ± 971 cGy) compared to controls. Mean cumulative anthracycline dose did not differ between HLS who did or did not receive RT (224.1 ± 65.4 vs. 253 ± 70.3 mg/m2 p=0.18). These differences were not explained by alterations in lipoproteins or hsCRP, however activity scores were significantly lower in HLS compared with young adult controls (2.01 ± 1.1 vs. 3.6 ± 1.2 hrs daily, p=0.02). Conclusions: Impaired EF was observed in a small group of HLS who received mediastinal RT as compared to those who did not. Cancer survivors at risk may benefit from early assessment of EF as a sub-clinical marker of CAD. No significant financial relationships to disclose.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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 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".