巴西公共卫生系统中因家族性高胆固醇血症致冠状动脉疾病住院费用估算数据集

数据集获取（Figshare）

• 源站标题：Estimated costs of hospitalization due to coronary artery disease attributable to familial hypercholesterolemia in the Brazilian public health system
• DOI：10.6084/m9.figshare.7513160.v1
• 发布日期：2018-12-26
• 文件数：3 个
• 文件总体积：16.90 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Estimated_costs_of_hospitalization_due_to_coronary_artery_disease_attributable_to_familial_hypercholesterolemia_in_the_Brazilian_public_health_system/7513160

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/13948373"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/13948376"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/13948379"

文件清单

• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）

文件总体积 16.90 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 Objective: Cardiovascular diseases are the leading cause of death in Brazil, imposing substantial economic burden on the health care system. Familial hypercholesterolemia (FH) is known to greatly increase the risk of premature coronary artery disease (CAD). This study aimed to estimate the economic impact of hospitalizations due to CAD attributable to FH in the Brazilian Unified Health Care System (SUS). Subjects and methods: Retrospective, cross-sectional study of data obtained from the Hospital Information System of the SUS (SIHSUS). We selected all adults (≥ 20 years of age) hospitalized from 2012-2014 with primary diagnoses related to CAD (ICD-10 I20 to I25). Attributable risk methodology estimated the contribution of FH in the outcomes of interest, using international data for prevalence (0.4% and 0.73%) and relative risk for events (RR = 8.56). Results: Assuming an international prevalence of FH of 0.4% and 0.73%, of the 245,981 CAD admissions/year in Brazil, approximately 7,249 and 12,915, respectively, would be attributable to an underlying diagnosis of FH. The total cost due to CAD per year, considering both sexes and all adults, was R$ 985,919,064, of which R$ 29,053,500 and R$ 51,764,175, respectively, were estimated to be attributable to FH. The average cost per FH-related CAD event was R$ 4,008. Conclusion: Based on estimated costs of hospitalization for CAD, we estimated that 2.9-5.3% are directed to FH patients. FH can require early specific therapies to lower risk in families. It is mandatory to determine the prevalence of FH and institute appropriate treatment to minimize the clinical and economic impact of this disease in Brazil.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7513160.v1（source: https://scielo.figshare.com/articles/dataset/Estimated_costs_of_hospitalization_due_to_coronary_artery_disease_attributable_to_familial_hypercholesterolemia_in_the_Brazilian_public_health_system/7513160）。