血清S100β蛋白水平与脑小血管病患者非痴呆型血管性认知障碍的相关性研究 Correlation between Serum S100β Protein Level and Vascular Cognitive Impairment with No Dementia in Patients with Cerebral Small Vessel Diseases
Bibliographic record
Abstract
目的 探讨血清S100β蛋白水平与脑小血管病（cerebral small vessel disease，CSVD）患者非痴呆型血 管性认知障碍（vascular cognitive impairment with no dementia，VCIND）的相关性。 方法 收集2017年6月-2018年2月在潍坊医学院附属医院神经内科住院治疗的非痴呆CSVD患者60 例，健康体检者30例，对所有研究对象进行蒙特利尔认知评估量表（Montreal cognitive assessment， MoCA）评定，将CSVD患者分为VCIND组30例和无认知障碍（no cognitive impairment，NCI）组30例。检测 所有入组者血清S100β蛋白含量。用Pearson相关分析来分析血清S100β蛋白水平与VCIND的相关性， Logistic回归分析评价CSVD患者VCIND的可能危险因素。 结果 VCIND组血清S100β蛋白水平为（0.66±0.041）μg/L，高于NCI组（[ 0.62±0.040）μg/L]和对 照组（[ 0.57±0.037）μg/L]（均P＜0.001）。Logistic回归分析结果显示，血清S100β蛋白水平是VCIND 的独立危险因素[比值比（odds ratio，OR）2.056，95%（confidence interval，CI）1.643～2.573，P＝0.003]。 结论 VCIND患者的血清S100β蛋白水平升高是VCIND的独立危险因素。 Abstract: Objective To investigate the correlation between serum S100β protein level and vascular cognitive impairment with no dementia (VCIND) in patients with cerebral small vessel diseases (CSVD). Methods Sixty CSVD inpatients (excluding dementia) in department of neurology and 30 healthy individuals from physical examination in the affiliated hospital of Weifang Medical College from June 2017 to February 2018 were enrolled in this study. All the subjects were assessed using Montreal cognitive assessment (MoCA), according to MoCA scores, the CSVD patients were divided into VCIND group (n =30) and no cognitive impairment (NCI) group (n =30), and the healthy subjects served as the control group. Serum S100β protein levels in all objects were measured by ELISA. The association between serum S100β protein level and VCIND in CSVD patients was analyzed by Pearson correlation analysis. Logistic regression analysis was applied to determine the independent risk factors of VCIND in patients with CSVD. Results The serum S100β level in the VCIND group [(0.66±0.041) μg/L] were all higher than that in the NCI [(0.62±0.040) μg/L] and control groups [(0.57±0.037) μg/L] (all P <0.001). Logistic regression analysis showed that serum S100β level was an independent risk factor of VCIND [odds ratio (OR) 2.056, 95% confidence interval (CI) 1.643-2.573, P =0.003]. Conclusions Serum S100β level was an independent risk factor of VCIND.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".