复发性缺血性卒中预测模型数据集

数据集获取（Figshare）

• 源站标题：Table_1_Predictive model of recurrent ischemic stroke: model development from real-world data.docx
• DOI：10.3389/fneur.2023.1118711.s001
• 发布日期：2023-04-28
• 文件数：1 个
• 文件总体积：23.98 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Predictive_model_of_recurrent_ischemic_stroke_model_development_from_real-world_data_docx/22717510

命令行下载

curl -L -o "Table_1_Predictive model of recurrent ischemic stroke: model development from real-world data.docx" "https://ndownloader.figshare.com/files/40349080"

文件清单

• Table_1_Predictive model of recurrent ischemic stroke: model development from real-world data.docx（23.98 KB）

文件总体积 23.98 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

BackgroundThere are established correlations between risk factors and ischemic stroke (IS) recurrence; however, does the hazard of recurrent IS change over time? What is the predicted baseline hazard of recurrent IS if there is no influence of variable predictors? This study aimed to quantify the hazard of recurrent IS when the variable predictors were set to zero and quantify the secondary prevention influence on the hazard of recurrent ischemic stroke.
MethodsIn the population cohort involved in this study, data were extracted from 7,697 patients with a history of first IS attack registered with the National Neurology Registry of Malaysia from 2009 to 2016. A time-to-recurrent IS model was developed using NONMEM version 7.5. Three baseline hazard models were fitted into the data. The best model was selected using maximum likelihood estimation, clinical plausibility, and visual predictive checks.
ResultsWithin the maximum 7.37 years of follow-up, 333 (4.32%) patients had at least one incident of recurrent IS. The data were well described by the Gompertz hazard model. Within the first 6 months after the index IS, the hazard of recurrent IS was predicted to be 0.238, and 6 months after the index attack, it reduced to 0.001. The presence of typical risk factors such as hyperlipidemia [HR, 2.22 (95%CI: 1.81–2.72)], hypertension [HR, 2.03 (95%CI: 1.52–2.71)], and ischemic heart disease [HR, 2.10 (95%CI: 1.64–2.69)] accelerated the hazard of recurrent IS, but receiving antiplatelets (APLTs) upon stroke decreased this hazard [HR, 0.59 (95%CI: 0.79–0.44)].
ConclusionThe hazard of recurrent IS magnitude differs during different time intervals based on the concomitant risk factors and secondary prevention.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2023.1118711.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Predictive_model_of_recurrent_ischemic_stroke_model_development_from_real-world_data_docx/22717510）。