住院人群轻微缺血性卒中后认知功能障碍预测诺模图数据表1

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_Nomogram to Predict Cognitive Dysfunction After a Minor Ischemic Stroke in Hospitalized-Population.pdf
• DOI：10.3389/fnagi.2021.637363.s001
• 发布日期：2021-04-21
• 文件数：1 个
• 文件总体积：246.57 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Nomogram_to_Predict_Cognitive_Dysfunction_After_a_Minor_Ischemic_Stroke_in_Hospitalized-Population_pdf/14459838

命令行下载

curl -L -o "Data_Sheet_1_Nomogram to Predict Cognitive Dysfunction After a Minor Ischemic Stroke in Hospitalized-Population.pdf" "https://ndownloader.figshare.com/files/27673308"

文件清单

• Data_Sheet_1_Nomogram to Predict Cognitive Dysfunction After a Minor Ischemic Stroke in Hospitalized-Population.pdf（246.57 KB）

文件总体积 246.57 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

An easily scoring system to predict the risk of cognitive impairment after minor ischemic stroke has not been available. We aimed to develop and externally validate a nomogram for predicting the probability of post-stroke cognitive impairment (PSCI) among hospitalized population with minor stroke. Moreover, the association of Trimethylamine N-oxide (TMAO) with PSCI is also investigated. We prospectively conducted a developed cohort on collected data in stroke center from June 2017 to February 2018, as well as an external validation cohort between June 2018 and February 2019. The main outcome is cognitive impairment defined as <22 Montreal Cognition Assessment (MoCA) score points 6 – 12 months following a minor stroke onset. Based on multivariate logistic models, the nomogram model was generated. Plasma TMAO levels were assessed at admission using liquid chromatography tandem mass spectrometry. A total of 228 participants completed the follow-up data for generating the nomogram. After multivariate logistic regression, seven variables remained independent predictors of PSCI to compose the nomogram included age, female, Fazekas score, educational level, number of intracranial atherosclerotic stenosis (ICAS), HbA1c, and cortical infarction. The area under the receiver-operating characteristic (AUC-ROC) curve of model was 0.829, C index was good (0.810), and the AUC-ROC of the model applied in validation cohort was 0.812. Plasma TMAO levels were higher in patients with cognitive impairment than in them without cognitive dysfunction (median 4.56 vs. 3.22 μmol/L; p ≤ 0.001). In conclusion, this scoring system is the first nomogram developed and validated in a stroke center cohort for individualized prediction of cognitive impairment after minor stroke. Higher plasma TMAO level at admission suggests a potential marker of PSCI.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fnagi.2021.637363.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Nomogram_to_Predict_Cognitive_Dysfunction_After_a_Minor_Ischemic_Stroke_in_Hospitalized-Population_pdf/14459838）。