Prognostic value of blood pressure measured during hospitalization after acute myocardial infarction: an insight from survival trials
Bibliographic record
Abstract
BACKGROUND: The prognostic value of blood pressure measured during hospitalization after acute myocardial infarction (MI) has not been investigated, particularly with regard to arrhythmic death. METHODS: A total of 3311 placebo patients (2612 men, median age 64 years; range 23-92) from the EMIAT, CAMIAT, SWORD, TRACE and DIAMOND-MI studies with left ventricular ejection fraction less than 40% or asymptomatic ventricular arrhythmia surviving more than 45 days after MI were pooled. Systolic and diastolic blood pressures and pulse pressures were measured soon after MI (median 6 days, range 0-53 days). Mortality up to 2 years was examined using Cox regression. RESULTS: At the 2-year follow-up, after adjustment for age, sex, smoking, previous MI, hypertension, heart rate, New York Heart Association functional class, baseline treatments, study effect and diastolic blood pressure, reduced systolic blood pressure measured during hospitalization after acute MI significantly increased the risk of all-cause mortality [hazard ratio (HR) for 10% increase in systolic blood pressure 0.80, 95% confidence interval (CI) 0.71-0.90; P < 0.001] and arrhythmic mortality (HR 0.73, 95% CI 0.61-0.86; P = 0.001). Reduced diastolic blood pressure significantly increased the risk of all-cause mortality (HR 0.87, 95% CI 0.77-0.98; P = 0.02) and arrhythmic mortality (HR 0.80, 95% CI 0.68-0.93; P = 0.005). CONCLUSION: In post-MI patients with left ventricular ejection fraction less than 40% or asymptomatic ventricular arrhythmia, reduced blood pressure measured during hospitalization after MI significantly predicts all-cause mortality and arrhythmic mortality, and can be reliably used to identify patients who are at risk of dying after MI.
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 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 | 0.017 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".