Analysis on prognostic factors of ischemic stroke caused by middle cerebral artery stenosis or occlusion
Bibliographic record
Abstract
Objective To screen related influencing factors for good prognosis of ischemic stroke caused by middle cerebral artery (MCA) stenosis or occlusion. Methods A total of 109 patients with ischemic stroke caused by MCA stenosis or occlusion were enrolled in this study. Their clinical data were recorded, such as sex, age, time from onset to MRI, history [stroke and/or transient ischemic attack (TIA), coronary heart disease, atrial fibrillation, smoking and drinking], systolic blood pressure (SBP), diastolic blood pressure (DBP), serum glucose, total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), plasma homocysteine (Hcy), National Institutes of Health Stroke Scale (NIHSS) score on admission and discharge, modified Rankin Scale (mRS) at 3-month follow-up. MRI and three-dimensional time-of-flight (3D-TOF) MRA were performed to get MCA stenosis rate, FLAIR vascular hyperintensity (FVH) score, FVH-diffusion-weighted imaging (DWI) mismatching proportion, DWI-Alberta Stroke Program Early CT Score (ASPECTS). Univariate and multivariate forward Logistic regression analysis was used to screen related influencing factors for good prognosis. Receiver operating characteristic (ROC) curve was used to evaluate the accuracy and best threshold of FVH and DWI-ASPECTS scores predicting good prognosis. Results According to mRS score, patients were divided into good prognosis group (mRS ? 2, N = 24) and poor prognosis group (mRS > 2, N = 85). Logistic regression analysis showed that DBP (OR = 0.924, 95% CI: 0.869-0.983; P = 0.013), FVH score (OR = 2.008, 95% CI: 1.404-2.873; P = 0.000) and DWI-ASPECTS score (OR = 1.955, 95% CI: 1.336-2.862; P = 0.001) were independent influencing factors for good prognosis. ROC curve showed that area under the curve (AUC) of FVH score was 0.768 (95% CI: 0.656-0.880, P = 0.000), AUC of DWI-ASPECTS score was 0.721 (95%CI: 0.608-0.834, P = 0.001). The best threshold of FVH score was 4.50, sensitivity was 0.625, specificity was 0.824, Youden index was 0.449. The best threshold of DWI-ASPECTS score was 6.50, sensitivity was 0.750, specificity was 0.671, Youden index was 0.421. Conclusions For ischemic stroke caused by MCA stenosis or occlusion, the related prognostic factors include DBP, FVH score and DWI-ASPECTS score, whereas FVH score has higher accuracy. DOI:10.3969/j.issn.1672-6731.2018.04.003
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".