Does This Dyspneic Patient in the Emergency Department Have Congestive Heart Failure?
Bibliographic record
Abstract
CONTEXT: Dyspnea is a common complaint in the emergency department where physicians must accurately make a rapid diagnosis. OBJECTIVE: To assess the usefulness of history, symptoms, and signs along with routine diagnostic studies (chest radiograph, electrocardiogram, and serum B-type natriuretic peptide [BNP]) that differentiate heart failure from other causes of dyspnea in the emergency department. DATA SOURCES: We searched MEDLINE (1966-July 2005) and the reference lists from retrieved articles, previous reviews, and physical examination textbooks. STUDY SELECTION: We retained 22 studies of various findings for diagnosing heart failure in adult patients presenting with dyspnea to the emergency department. DATA EXTRACTION: Two authors independently abstracted data (sensitivity, specificity, and likelihood ratios [LRs]) and assessed methodological quality. DATA SYNTHESIS: Many features increased the probability of heart failure, with the best feature for each category being the presence of (1) past history of heart failure (positive LR = 5.8; 95% confidence interval [CI], 4.1-8.0); (2) the symptom of paroxysmal nocturnal dyspnea (positive LR = 2.6; 95% CI, 1.5-4.5); (3) the sign of the third heart sound (S(3)) gallop (positive LR = 11; 95% CI, 4.9-25.0); (4) the chest radiograph showing pulmonary venous congestion (positive LR = 12.0; 95% CI, 6.8-21.0); and (5) electrocardiogram showing atrial fibrillation (positive LR = 3.8; 95% CI, 1.7-8.8). The features that best decreased the probability of heart failure were the absence of (1) past history of heart failure (negative LR = 0.45; 95% CI, 0.38-0.53); (2) the symptom of dyspnea on exertion (negative LR = 0.48; 95% CI, 0.35-0.67); (3) rales (negative LR = 0.51; 95% CI, 0.37-0.70); (4) the chest radiograph showing cardiomegaly (negative LR = 0.33; 95% CI, 0.23-0.48); and (5) any electrocardiogram abnormality (negative LR = 0.64; 95% CI, 0.47-0.88). A low serum BNP proved to be the most useful test (serum B-type natriuretic peptide <100 pg/mL; negative LR = 0.11; 95% CI, 0.07-0.16). CONCLUSIONS: For dyspneic adult emergency department patients, a directed history, physical examination, chest radiograph, and electrocardiography should be performed. If the suspicion of heart failure remains, obtaining a serum BNP level may be helpful, especially for excluding heart failure.
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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 | 0.006 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".