Synergistic Impact of Systolic Blood Pressure and Perfusion Status on Mortality in Acute Heart Failure
Bibliographic record
Abstract
Background: Physical examination remains the cornerstone in the assessment of acute heart failure. There is a lack of adequately powered studies assessing the combined impact of both systolic blood pressure (SBP) and hypoperfusion on short-term mortality. Methods: Patients with acute heart failure from 41 Spanish emergency departments were recruited consecutively in 3 time periods between 2011 and 2016. Logistic regression models were used to assess the association of 30-day mortality with SBP (<90, 90–109, 110–129, and ≥130 mm Hg) and with manifestations of hypoperfusion (cold skin, cutaneous pallor, delayed capillary refill, livedo reticularis, and mental confusion) at admission. Results: Among 10 979 patients, 1143 died within the first 30 days (10.2%). There was an inverse association between 30-day mortality and initial SBP (35.4%, 18.9%, 12.4%, and 7.5% for SBP<90, SBP 90–109, SBP 110–129, and SBP≥130 mm Hg, respectively; P <0.001) and a positive association with hypoperfusion (8.0%, 14.8%, and 27.6% for those with none, 1, ≥2 signs/symptoms of hypoperfusion, respectively; P <0.001). After adjustment for 11 risk factors, the prognostic impact of hypoperfusion on 30-day mortality varied across SBP categories: SBP≥130 mm Hg (odds ratio [OR]=1.03 [95% CI, 0.77–1.36] and OR=1.18 [95% CI, 0.86–1.62] for 1 and ≥2 compared with 0 manifestations of hypoperfusion), SBP 110 to 129 mm Hg (OR=1.23 [95% CI, 0.86–1.77] and OR=2.18 [95% CI, 1.44–3.31], respectively), SBP 90 to 109 mm Hg (OR=1.29 [95% CI, 0.79–2.10] and OR=2.24 [95% CI, 1.36–3.66], respectively), and SBP<90 mm Hg (OR=1.34 [95% CI, 0.45–4.01] and OR=3.22 [95% CI, 1.30–7.97], respectively); P -for-interaction =0.043. Conclusions: Hypoperfusion confers an incremental risk of 30-day all-cause mortality not only in patients with low SBP but also in normotensive patients. On admission, physical examination plays a major role in determining prognosis in patients with acute heart failure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".