Prognostic role of tricuspid annular plane systolic excursion/pulmonary artery systolic pressure ratio in patients hospitalized for acute heart failure
Bibliographic record
Abstract
BACKGROUND: The role of TAPSE/PASP, a measurement of right ventricular to pulmonary artery coupling, in patients hospitalized for acute heart failure (AHF) is poorly described. OBJECTIVES: To evaluate the prognostic impact of TAPSE/PASP in AHF. METHODS: This retrospective single-center study included patients hospitalized for AHF between January 2004 and May 2017. TAPSE/PASP was evaluated as a continuous variable and as tertiles according to its value on admission. The main outcome was the composite of 1-year all-cause death or heart failure hospitalization. RESULTS: A total of 340 patients were included [mean age 68.8 ± 11.8 years; 76.2% men, mean left ventricular ejection fraction (LVEF) 30.4 ± 13.3%]. Patients with lower TAPSE/PASP had more comorbidities and a more advanced clinical profile, and received higher doses of intravenous furosemide in the first 24 h. There was a significant, linear, inverse relationship between TAPSE/PASP values and the incidence of the main outcome (P = 0.003). In two multivariable analyses including clinical (model 1), biochemical and imaging parameters (model 2) TAPSE/PASP ratio was independently associated with the primary end point [model 1: hazard ratio 0.813, 95% confidence interval (CI) 0.708-0.932, P = 0.003; model 2: hazard ratio 0.879, 95% CI 0.775-0.996, P = 0.043]. Patients with TAPSE/PASP greater than 0.47 mm/mmHg had a significantly lower risk of the primary end point (model 1: hazard ratio 0.473, 95% CI 0.277-0.808, P = 0.006; model 2: hazard ratio 0.582, 95% CI 0.355-0.955, P = 0.032; both compared with TAPSE/PASP <0.34 mm/mmHg). Similar findings were observed for 1-year all-cause mortality. CONCLUSION: TAPSE/PASP on admission demonstrated a prognostic value among patients with AHF.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".