[PP.03.32] ALCOHOL CONSUMPTION AND HYPERTENSION IN PATIENTS WITH PREVIOUS REVASCULARIZATION; A SUBSTUDY OF THE POP-HT STUDY
Bibliographic record
Abstract
Objective: The prognosis of patients (pts) after coronary artery bypass surgery (CABS) has been noted in many studies, but there were no studies which analyzed prognosis of light-to-moderate alcohol consumers with hypertension (HTA) after prior CABS. This substudy of POP-HT study (PostOperative Prognosis-HyperTension study), aimed to evaluating the influence of light-to-moderate alcohol consumption on the HTA expression in patients after prior CABS. Design and method: The effect of light-to-moderate alcohol consumption was assessed in 328 pts with HTA after prior CABS (post bypass group) and control group of 540 pts with HTA and without prior CABS, who were followed from April 1988 to December 2015. Results: At baseline post bypass group was slightly younger (p = 0.0402), with more men (p = 0.4450) and with more pts with previous angina (p = 0.0440) and previous AMI (p = 0.0389). Control group of pts had more hyperlipidemia (p = 0.0404). Other baselines characteristics were similar in both groups of patients. After adjustment for cardiovascular risk factors by logistic regression, alcohol consumption displayed a protective effect against HTA in post bypass group of patients, but not in control group of pts. Conclusions: The effect of light-to-moderate alcohol consumption is associated with decreasing risk of HTA in pts with prior CABS, but not in pts without prior CABS. This effect of light-to-moderate alcohol consumption is probably because of decreasing of cholesterol, triglycerides and fibrinogen, as well as physiological changes in coronary arteries and decreasing in sympathetic nervous system activity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".