Heart rate and blood pressure interactions in the development of erectile dysfunction in high-risk cardiovascular patients
Bibliographic record
Abstract
AIMS: Erectile dysfunction (ED) is associated with cardiovascular risk factors as elevated systolic blood pressure (SBP), resting high heart rate (HR), and endothelial dysfunction and predicts cardiovascular events. However, the interaction between high HR and SBP and the development of ED remains unclear. METHODS AND RESULTS: We evaluated 1015 male patients enrolled in the ED substudy of ONTARGET and TRANSCEND, examining the influence of mean HR and mean SBP obtained over all study visits (mean 10.9±1.4 study visits) and their interaction with ED. In patients without pre-existing ED, new onset ED was detected in 29% of patients below, and 41% of patients above, the median of mean HR (OR 1.72, 95% CI 1.8-2.5, p = 0.0047). In patients with pre-existing ED, high HR had no add-on effect. With or without pre-existing ED, high SBP had no influence after adjustment for covariates (OR 1.03, 95% CI 0.66-1.59, p = 0.91). In a continuous model, it was shown that effects of high HR were prominent at low Kölner (Cologne) Evaluation of Erectile Function (KEED) score baseline values and in the presence of SBP above the median. CONCLUSIONS: In patients at risk for cardiovascular events, high HR is associated with ED, whereas the effect of high SBP was not significant. High resting HR might represent a cardiovascular risk indicator. Whether HR represents a potential treatment target to improve ED in high-risk individuals must be scrutinized in prospective trials.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".