轻型急性缺血性脑卒中患者血清miR-132水平变化与卒中后认知障碍的相关性
Bibliographic record
Abstract
目的 探讨轻型急性缺血性脑卒中(acute ischemic stroke, AIS)患者血清微小核糖核酸(microRNA,miR)-132水平变化与卒中后认知障碍(post stroke cognitive impairment, PSCI)的相关性。方法 选取2020年5月至2022年12月承德市中心医院收治的127例轻型AIS患者为研究对象。在卒中发病后24 h内，采用实时定量聚合酶链式反应测定miR-132在血清中的相对表达水平，并收集患者基线临床信息和常规生化检查结果。卒中后10～14 d,根据北京版蒙特利尔认知评估量表(Montreal Cognitive Assessment scale, MoCA)评分分为PSCI组(<26分，n=79)和非PSCI组(≥26分，n=48)。对比两组临床资料，采用Pearson相关性分析探讨miR-132与MoCA评分之间的关系，多因素Logistic回归分析评估miR-132对轻型AIS患者发生PSCI的独立预测作用，受试者工作特征曲线(receiver operating characteristic curve, ROC)评估血清miR-132水平对轻型AIS患者并发PSCI的预测价值。结果 PSCI组年龄、体质指数、高血压比例、超敏C反应蛋白和肌酐高于非PSCI组(P<0.05),miR-132低于非PSCI组(P<0.05)。Pearson相关性分析显示，轻型AIS患者血清miR-132水平与MoCA评分呈正相关(r=0.768,P<0.05)。多因素Logistic回归分析显示，miR-132(OR=0.850,95%CI=0.758～0.952,P<0.05)是轻型AIS患者发生PSCI的独立预测因子。ROC曲线分析显示，血清miR-132预测轻型AIS患者发生PSCI的曲线下面积为0.831(95%CI=0.753～0.892,P<0.05),当血清miR-132预测PSCI的约登指数为0.587时，对应的截断值为1.05,敏感度为81.58%,特异度为77.08%。结论 轻型AIS患者发生PSCI与血清miR-132水平降低有关，低水平的miR-132可作为PSCI的预测指标。
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".