德国酒精特异性住院诊断数据与R代码

数据集获取（Figshare）

• 源站标题：Data and R code for publication: “Alcohol-Specific Inpatient Diagnoses in Germany: A Retrospective Cross-Sectional Analysis of Primary and Secondary Diagnoses from 2012 to 2021”
• DOI：10.6084/m9.figshare.25379059.v1
• 发布日期：2024-06-12
• 文件数：3 个
• 文件总体积：474.06 KB
• 源站页面：https://figshare.com/articles/dataset/Data_and_R_code_for_publication_Alcohol-Specific_Inpatient_Diagnoses_in_Germany_A_Retrospective_Cross-Sectional_Analysis_of_Primary_and_Secondary_Diagnoses_from_2012_to_2021_/25379059

命令行下载

curl -L -o "1_data analyses_240610.R" "https://ndownloader.figshare.com/files/47006461"
curl -L -o "data_codes_input_240610.csv" "https://ndownloader.figshare.com/files/47006464"
curl -L -o "data_input_240610.csv" "https://ndownloader.figshare.com/files/47006467"

文件清单

• 1_data analyses_240610.R（20.63 KB）
• data_codes_input_240610.csv（330.91 KB）
• data_input_240610.csv（122.52 KB）

文件总体积 474.06 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

Abstract of the paper:
Aims
Our study aimed to a) describe the distribution of hospital discharges with primary and secondary alcohol-specific diagnoses by sex and age group, and b) describe how the number of hospital discharges with primary and secondary alcohol-specific diagnoses have changed across different diagnostic groups (categorized by primary ICD-10 diagnosis) over time.
Design
Retrospective cross-sectional analysis.
Setting
German hospital settings between 2012 and 2021.
Participants
All persons aged 15-69 admitted to hospitals as registered in a nationwide data set.
Measurements
We counted a) the number of all hospital discharges and b) the number of hospital discharges with at least one alcohol-specific secondary diagnosis (secondary alcohol-specific diagnosis) by year, sex, age group, and diagnostic group. One diagnostic group included all primary alcohol-specific diagnoses, while 13 additional groups aligned with ICD-10 chapters (e.g., neoplasms). Alcohol-involvement was defined as either a primary or secondary alcohol-specific diagnosis.
Findings
Of 95,417,204 recorded hospital discharges between 2012-2021, 3,828,917 discharges (4.0%; 2,913,903 men (6.4%); 915,014 women (1.8%)) involved either a primary or at least one secondary diagnosis related to alcohol. Of all alcohol-involved hospital discharges, 56.8% had no primary but only a secondary alcohol-specific diagnosis. Secondary alcohol-specific diagnoses were particularly prevalent in hospital discharges due to injuries. With rising age, alcohol-involvement in hospital discharges due to digestive or cardiovascular diseases increased. Between 2012 and 2021, the rate of alcohol-involved hospital discharges has decreased more in younger as compared to older adults (average change between 2012 and 2021: 15-24: -55%; 25-34: -41%; 35-44: -23%; 45-54: -31%; 55-64: -21%; 65-69: -8%).
Conclusions
The number of alcohol-involved hospital discharges more than double when including secondary alcohol-specific diagnoses. More pronounced declines among younger adults may be attributed to unequal changes in alcohol consumption patterns across the population and to the hazardous effects of long-term alcohol use

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.25379059.v1（source: https://figshare.com/articles/dataset/Data_and_R_code_for_publication_Alcohol-Specific_Inpatient_Diagnoses_in_Germany_A_Retrospective_Cross-Sectional_Analysis_of_Primary_and_Secondary_Diagnoses_from_2012_to_2021_/25379059）。