哮喘相关医疗利用风险因素纵向分析数据集

数据集获取（Figshare）

• 源站标题：Risk Factors for Asthma-Related Healthcare Use: Longitudinal Analysis Using the NHI Claims Database in a Korean Asthma Cohort
• DOI：10.1371/journal.pone.0112844
• 发布日期：2014-11-14
• 文件数：4 个
• 文件总体积：12.58 MB
• 源站页面：https://plos.figshare.com/articles/dataset/_Risk_Factors_for_Asthma_Related_Healthcare_Use_Longitudinal_Analysis_Using_the_NHI_Claims_Database_in_a_Korean_Asthma_Cohort_/1242378

命令行下载

curl -L -o "Figure_S1.tif" "https://ndownloader.figshare.com/files/1795444"
curl -L -o "Figure_S2.tif" "https://ndownloader.figshare.com/files/1795445"
curl -L -o "File_S1.docx" "https://ndownloader.figshare.com/files/1795446"
curl -L -o "Methods_and_Results_S1.docx" "https://ndownloader.figshare.com/files/1795447"

文件清单

• Figure_S1.tif（10.50 MB）
• Figure_S2.tif（1.96 MB）
• File_S1.docx（89.89 KB）
• Methods_and_Results_S1.docx（31.67 KB）

文件总体积 12.58 MB（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

Background
Though insurance claims data are useful for researching asthma, they have important limitations, such as a diagnostic inaccuracy and a lack of clinical information. To overcome these drawbacks, we used the novel method by merging the clinical data from our asthma cohort with the National Health Insurance (NHI) claims data.
Methods and Results
Longitudinal analysis of asthma-related healthcare use from the NHI claims database, merged with data of 736 patients registered in a Korean asthma cohort, was conducted for three consecutive years from registration of the cohort. Asthma-related asthma healthcare referred to outpatient and emergency department visits, hospitalizations, and the use of systemic corticosteroids. Univariate and multivariate logistic regression analysis was used to evaluate risk factors for asthma-related healthcare. Over three years after enrollment, many patients changed from tertiary to primary/secondary hospitals with a lack of maintenance of inhaled corticosteroid-based controllers. An independent risk factor for emergency visits was a previous history of asthma exacerbation. In hospitalizations, old age and Asthma Control Test (ACT) score variability were independent risk factors. An independent risk factor for per person cumulative duration of systemic corticosteroids was the FEV1 (Forced expiratory volume in one second)%. The use of systemic corticosteroids was independently associated with being female, the FEV1%, and ACT score variability.
Conclusion
We found that old age, being female, long-standing asthma, a low FEV1%, asthma brittleness, asthma drug compliance, and a history of asthma exacerbation were independent risk factors for increased asthma-related healthcare use in Korea.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0112844（source: https://plos.figshare.com/articles/dataset/_Risk_Factors_for_Asthma_Related_Healthcare_Use_Longitudinal_Analysis_Using_the_NHI_Claims_Database_in_a_Korean_Asthma_Cohort_/1242378）。