巴西心脏外科服务中的医疗相关感染

数据集获取（Figshare）

• 源站标题：Healthcare-Associated Infections in a Cardiac Surgery Service in Brazil
• DOI：10.6084/m9.figshare.14281750.v1
• 发布日期：2021-03-24
• 文件数：5 个
• 文件总体积：28.16 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Healthcare-Associated_Infections_in_a_Cardiac_Surgery_Service_in_Brazil/14281750

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27117427"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27117430"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/27117433"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/27117436"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/27117439"

文件清单

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

文件总体积 28.16 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 Objectives: The study aimed to determine the incidence of healthcare-associated infections (HAI) and their sites in a cardiac surgery service, as well as to determine if gender and age were risk factors for infection and to quantify mortality and increase in the hospital length of stay (LOS) due to HAI. Methods: Medical records of patients who underwent cardiac surgery from January 2012 to January 2018 were retrospectively analyzed. Data on age, gender, mortality, occurrence of HAI during hospitalization, and LOS were collected. Continuous variables were analyzed using Student’‘s t-test, while categorical variables were compared using Fisher’'s exact test or chi-square test. Results: Among the 195 patients available, the HAI rate in our service was 22.6%, with female gender being a risk factor for infections (odds ratio [OR]=2.23; P=0.015). Age was also a significant risk factor for infections, with a difference in the mean age between the group with and without infection (P=0.02). The occurrence of an infectious process increased the LOS in 14 days (P<0.001) and resulted in higher mortality rates (P=0.112). A patient who has HAI was approximately 19 times more likely to remain hospitalized for more than nine days (P<0.001). Conclusion: Age and gender were risk factors for the development of HAI and the occurrence of an infectious process during hospitalization significantly increases the LOS. These findings may guide future actions aimed at reducing the impact of HAI on the health system.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14281750.v1（source: https://scielo.figshare.com/articles/dataset/Healthcare-Associated_Infections_in_a_Cardiac_Surgery_Service_in_Brazil/14281750）。