巴西脓毒症治疗资源可用性：巴西机构的随机样本调查

数据集获取（Figshare）

• 源站标题：Availability of resources to treat sepsis in Brazil: a random sample of Brazilian institutions
• DOI：10.6084/m9.figshare.8227379.v1
• 发布日期：2019-06-05
• 文件数：7 个
• 文件总体积：51.71 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Availability_of_resources_to_treat_sepsis_in_Brazil_a_random_sample_of_Brazilian_institutions/8227379

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/15335654"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/15335657"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/15335660"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/15335663"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/15335666"
curl -L -o "Table_6.xls" "https://ndownloader.figshare.com/files/15335669"
curl -L -o "Table_7.xls" "https://ndownloader.figshare.com/files/15335672"

文件清单

• Table_1.xls（9.73 KB）
• Table_2.xls（9.73 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（9.73 KB）
• Table_5.xls（5.63 KB）
• Table_6.xls（5.63 KB）
• Table_7.xls（5.63 KB）

文件总体积 51.71 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: To characterize resource availability from a nationally representative random sample of intensive care units in Brazil. Methods: A structured online survey of participating units in the Sepsis PREvalence Assessment Database (SPREAD) study, a nationwide 1-day point prevalence survey to assess the burden of sepsis in Brazil, was sent to the medical director of each unit. Results: A representative sample of 277 of the 317 invited units responded to the resources survey. Most of the hospitals had fewer than 500 beds (94.6%) with a median of 14 beds in the intensive care unit. Providing care for public-insured patients was the main source of income in two-thirds of the surveyed units. Own microbiology laboratory was not available for 26.8% of the surveyed intensive care units, and 10.5% did not always have access to blood cultures. Broad spectrum antibiotics were not always available in 10.5% of surveyed units, and 21.3% could not always measure lactate within three hours. Those institutions with a high resource availability (158 units, 57%) were usually larger and preferentially served patients from the private health system compared to institutions without high resource availability. Otherwise, those without high resource availability did not always have broad-spectrum antibiotics (24.4%), vasopressors (4.2%) or crystalloids (7.6%). Conclusion: Our study indicates that a relevant number of units cannot perform basic monitoring and therapeutic interventions in septic patients. Our results highlight major opportunities for improvement to adhere to simple but effective interventions in Brazil.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.8227379.v1（source: https://scielo.figshare.com/articles/dataset/Availability_of_resources_to_treat_sepsis_in_Brazil_a_random_sample_of_Brazilian_institutions/8227379）。