Role of N-Terminal Pro-B-Type Natriuretic Peptide, High-Sensitivity C-Reactive Protein, and Inteleukin-6 in Predicting a Poor Outcome after a Stroke
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity C-reactive protein (hsCRP), and interleukin-6 (IL-6) concentrations can be important biomarkers in the acute stroke setting. In acute ischemic and hemorrhagic stroke patients, we investigated the association of NT-proBNP, hsCRP, and IL-6 serum concentrations with stroke severity and functional and cognitive outcomes at discharge. METHODS: Seventy-eight patients (53 men; median age 72 years) admitted with ischemic or hemorrhagic stroke within 48 h of symptom onset were evaluated for clinical stroke severity (Scandinavian stroke scale; SSS), functional status before the stroke (modified Rankin scale; mRS), and cerebrovascular disease risk factors. Cognitive (Mini Mental State Examination) and functional (mRS) outcomes were evaluated at hospital discharge. Blood samples were drawn for the assessment of NT-proBNP, hsCRP, and IL-6 concentrations within 24 h of admission. RESULTS: Greater NT-proBNP and hsCRP serum concentrations were associated with greater clinical stroke severity, adjusting for the patients' gender, age, stroke type, mRS score on admission, and presence of heart failure (β = -0.292, p = 0.012; β = -0.303, p = 0.009). In multivariate adjusted regression models with IL-6, hsCRP, and NT-proBNP considered together, IL-6 and hsCRP remained associated with worse functional (β = 0.210, p = 0.022) and cognitive (β = -0.269, p = 0.014) outcomes at discharge, respectively. In receiver operating characteristic analyses, the investigated blood biomarkers produced a minimal increase in predictive values for outcomes at discharge above the SSS score, age, and gender. CONCLUSIONS: In acute stroke patients, greater NT-proBNP and hsCRP serum concentrations are independently associated with greater clinical stroke severity. Elevated concentrations of IL-6 and hsCRP are associated with worse functional and cognitive outcomes at discharge, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it