Pulmonary Artery Systolic Pressure and Mortality in the Oldest Old
Bibliographic record
Abstract
OBJECTIVES: The objectives of the study were to assess pulmonary artery systolic pressure, its association with clinical and echocardiographic variables and its impact on 5-year mortality in a community-dwelling population of the oldest old. METHODS: Subjects were recruited from the Jerusalem Longitudinal Cohort Study. Echocardiography was performed at home, with standard measurements being taken including tricuspid regurgitation (TR) velocity (n = 300). Survival status at 5-year follow-up was assessed via the centralized population registry. RESULTS: The mean TR gradient in the study population as a whole was 30.5 ± 9.4 mm Hg. A significant relationship was noted between right-ventricular systolic pressure (RVSP) and left-atrial (LA) volume (r = 0.27, p < 0.0001), left-ventricular (LV) mass index (r = 0.26, p < 0.0001) and the ratio E/e (r = 0.19, p < 0.03). At the 5-year follow-up, 71 of the 300 subjects (23.7%) had died. TR gradient was significantly associated with mortality in both the unadjusted (HR 1.036, 95% CI 1.015-1.058; p < 0.007) and adjusted (HR 1.036, 95% CI 1.012-1.061; p < 0.0029) models. CONCLUSIONS: We demonstrate that RVSP is elevated and related to LV mass, LA volume and reduced diastolic function in the oldest old. An elevated RVSP is significantly associated with mortality in this population.
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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 | 0.000 |
| 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) | 0.001 | 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".