Systolic Blood Pressure and Outcome in Patients Admitted With Acute Heart Failure: An Analysis of Individual Patient Data From 4 Randomized Clinical Trials
Bibliographic record
Abstract
BACKGROUND In acute heart failure (AHF), systolic blood pressure (SBP) is an important clinical variable. This study assessed the association between SBP and short‐term and long‐term outcomes in a large cohort of patients with AHF. METHODS AND RESULTS This is an analysis of 4 randomized controlled trials investigating serelaxin versus placebo in patients admitted with AHF and SBPs from 125 to 180 mm Hg. Outcomes were 180‐day all‐cause mortality and a composite end point of all‐cause mortality, worsening heart failure, or hospital readmission for heart failure the first 14 days. Left ventricular ejection fraction (LVEF) was examined as LVEF<40% and LVEF≥40%. Multivariable Cox regression models were adjusted for known confounders of outcomes in AHF. A total of 10 533 patients with a mean age of 73 (±12) years and a mean SBP of 145 (±7) mm Hg were included. LVEF was assessed in 9863 patients (93%); 4737 patients (45%) had LVEF<40%. Increasing SBP was inversely associated with 180‐day mortality (adjusted hazard ratio [HR adjusted ], 0.93; 95% CI, 0.89–0.98; P =0.008 per 10 mm Hg increase) and with the composite end point (HR adjusted , 0.90; 95% CI, 0.85–0.94; P <0.001 per 10 mm Hg increase). A significant interaction with LVEF was observed, revealing that SBP was not associated with mortality in patients with LVEF≥40% (HR adjusted , 0.98; 95% CI, 0.91–1.04; per 10 mm Hg increase), but was strongly associated with increased mortality in LVEF<40% (HR adjusted , 0.84; 95% CI, 0.77–0.92; per 10 mm Hg increase). CONCLUSIONS Elevated SBP is associated with favorable short‐term and long‐term outcomes in patients with AHF. In our predefined subgroup analysis, we found that baseline SBP was not associated with mortality in LVEF≥40%, but was strongly associated with mortality in patients with LVEF<40%.
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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 | 0.032 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.012 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".