Prognostic value of copeptin combined with National Institutes of Health stroke score and modified Rankin score in patients with acute cerebral infarction
Bibliographic record
Abstract
Objective To investigate the disease assessment and prognosis value of serum copeptin level in patients with acute cerebral infarction (ACI). Methods One hundred first diagnosed ACI patients were selected as ACI group. According to the National Institutes of Health stroke score (NIHSS), the ACI patients were divided into mild (NIHSS 15 scores). Sixty cases of healthy subjects were selected as control group. The serum copeptin level was measured by double antibody sandwich enzyme linked immunosorbent assay method in control group and ACI group (onset within 24 h). The NIHSS, Alberta stroke program early CT score (ASPECTS) and modified Rankin score (mRS) onset within 24 h and 14 d were evaluated in patients with ACI, and the mRS 90 d and 180 d after ACI were evaluated. The neurological impairment was assessed by mRS 180 d after ACI, mRS ≤ 2 scores was good prognosis, ≥ 3 scores was poor prognosis. The correlation was analyzed. Results Among the 100 patients with ACI, mild was in 52 cases, moderate in 34 cases, and severe in 14 cases; good prognosis was in 79 cases and poor prognosis in 21 cases. The serum copeptin levels within 24 h of ACI in mild, moderate and severe patients of ACI group were significantly higher than that in control group: (4.82 ± 1.25), (6.39 ± 2.21) and (9.28 ± 3.82) pmol/L vs. (1.95 ± 0.28) pmol/L. The serum copeptin level within 24 h of ACI in moderate patients was significantly higher than that in mild patients, in severe patients was significantly higher than that in moderate patients, and there were statistical differences (P <0.05). Within 24 h of ACI , the ASPECTS in moderate and severe patients were significantly lower than that in mild patients: (10.02 ± 2.10) and (6.24 ± 3.05) scores vs. (12.16 ± 0.84) scores, in severe patients was significantly lower than that in moderate patients, and there were statistical differences (P<0.05). The NIHSS in moderate and severe patients were significantly higher than that in mild patients: (10.68 ± 3.14) and (16.20 ± 4.26) scores vs. (4.35 ± 1.52) scores, in severe patients was significantly higher than that in moderate patients, and there were statistical differences (P <0.05). The serum copeptin levels within 24 h of ACI and NIHSS in each time point in good prognosis patients were significantly lower than those in poor prognosis patients: (3.52 ± 1.26) pmol/L vs. (8.68 ± 3.06) pmol/L and (5.68 ± 2.11) scores vs. (15.36 ± 3.25) scores, (4.85 ± 1.86) scores vs. (12.60 ± 3.89) scores, (3.68 ± 1.21) scores vs. (6.35 ± 2.96) scores, (2.16 ± 0.75) scores vs. (5.21 ±1.96) scores, and the ASPECTS within 24 h of ACI was significantly higher than that in poor prognosis patients: (11.38 ± 2.21) scores vs. (7.86 ± 2.49) scores, and there were statistical differences (P <0.05). The single factor Logistic regression analysis results showed that the age, ASPECTS, NIHSS and serum copeptin level were the influencing factors of severity of illness in patients with ACI (OR = 1.21, 5.36, 5.61 and 6.62; 95% CI 0.99 -1.39, 3.34 -9.21, 2.86 -7.52 and 1.38 -12.64; P = 0.04, 0.01, 0.01 and 0.00), and the influencing factors of poor prognosis (OR = 1.32, 5.21, 4.86 and 6.82; 95% CI 0.84 -1.43, 3.52 -8.39, 2.62 -5.35 and 2.67 -11.85; P = 0.04, 0.01, 0.01 and 0.00). ROC analysis results showed that the area under curve of NIHSS, serum copeptin level and ASPECTS in predicting poor prognosis in patients with ACI were 0.926, 0.863 and 0.624. In the mild, moderate and severe patients, the serum copeptin level was negative correlated with ASPECTS (r = -0.682, -0.594 and -0.572; P <0.01), and the serum copeptin level was positively correlated with NIHSS (r = 0.652, 0.614 and 0.586; P<0.01). Conclusions The serum copeptin level in patients with ACI is significantly elevated. The serum copeptin level is positively correlated with neurologic impairment severity and prognosis in patients with ACI, and it has important significance in evaluating pathogenetic condition and prognosis. Key words: Brain infarction; Prognosis; Copeptin; National Institutes of Health stroke score; Modified Rankin score
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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) | 0.000 | 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 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".