P1-530 Blood pressure categories and long-term mortality risk of total and components of cardiovascular diseases among Japanese: a 24 year follow-up of representative Japanese (NIPPON DATA80)
Bibliographic record
Abstract
In Western population, blood pressure (BP) was reported to predict long-term (over 20 years) future mortality of cardiovascular diseases (CVD). However, there is few reports based on long-term follow-up studies in Asian population where stroke is dominant among CVDs. We investigated the association between BP and 24 year mortality risk of total and components of CVD in a representative Japanese population. Methods A cohort study of nationwide representative Japanese samples, a total of 8592 men and women age 30 and over without history of CVD and anti-hypertensive medication was followed for 24 years (mean follow-up, 21.3 years). Multivariate-adjusted HRs of total and components of CVD death according to the BP categories (Seventh Report of the Joint national Committee criteria) were calculated using the Cox proportional hazard model. Results During the follow-up period, 689 participants died from CVD. Multivariate-adjusted HR of total and components of CVD mortality was progressively and significantly greater from the lowest BP group. Compared with normal BP, adjusted HRs in stage 2 hypertension was 2.45 for total CVD death and 5.99 for cerebral haemorrhage death. An adjusted HR for total CVD were higher in younger participants aged 30 to 59 years than that in elder aged 60 years and over at baseline. Conclusion Blood pressure in general Japanese retain a strong association with total and components of CVD death during next 24 years. The association was steeper in younger participants. Primordial prevention of high BP from younger age is necessary to prevent future CVD.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".