Heparin-Binding Protein as a Prognostic Biomarker of Sepsis and Disease Severity at the Emergency Department
Bibliographic record
Abstract
OBJECTIVE: Rapid and early detection of patients at risk to develop sepsis remains demanding. Heparin-binding protein (HBP) has previously demonstrated good prognostic properties in detecting organ dysfunction among patients with suspected infections. This study aimed to evaluate the plasma levels of HBP as a prognostic biomarker for infection-induced organ dysfunction among patients seeking medical attention at the emergency department. DESIGN: Prospective, international multicenter, convenience sample study. SETTING: Four general emergency departments at academic centers in Sweden, Switzerland, and Canada. PATIENTS: All emergency encounters among adults where one of the following criteria were fulfilled: respiratory rate >25 breaths per minute; heart rate >120 beats per minute; altered mental status; systolic blood pressure <100 mm Hg; oxygen saturation <90% without oxygen; oxygen saturation <93% with oxygen; reported oxygen saturation <90%. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: A total of 524 emergency department patients were prospectively enrolled, of these 236 (45%) were eventually adjudicated to have a noninfectious disease. Three hundred forty-seven patients (66%) had or developed organ dysfunction within 72 h, 54 patients (10%) were admitted to an intensive care unit, and 23 patients (4%) died within 72 h. For the primary outcome, detection of infected-related organ dysfunction within 72 h, the area under the receiver operating curve (AUC) for HBP was 0.73 (95% CI 0.68-0.78) among all patients and 0.82 (95% CI 0.76-0.87) among patients confidently adjudicated to either infection or no infection. Against the secondary outcome, infection leading to admittance to the ICU, death or a persistent high SOFA-score due to an infection (SOFA-score ≥5 at 12-24 h) HBP had an AUC of 0.87 (95% CI 0.79-0.95) among all patients and 0.88 (95% CI 0.77-0.99) among patients confidently adjudicated to either infection or noninfection. CONCLUSIONS: Among patients at the emergency department, HBP demonstrated good prognostic and discriminatory properties in detecting the most severely ill patients with infection.
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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 | 0.002 | 0.007 |
| 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 | 0.000 | 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".