夜间入院是创伤患者死亡的独立危险因素——系统性误差方法

数据集获取（Figshare）

• 源站标题：Night admission is an independent risk factor for mortality in trauma patients - a systemic error approach
• DOI：10.6084/m9.figshare.14316951.v1
• 发布日期：2021-03-26
• 文件数：3 个
• 文件总体积：91.88 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Night_admission_is_an_independent_risk_factor_for_mortality_in_trauma_patients_-_a_systemic_error_approach/14316951

命令行下载

curl -L -o "0100-6991-rcbc-42-04-00209-gf01.jpg" "https://ndownloader.figshare.com/files/27252978"
curl -L -o "0100-6991-rcbc-42-04-00209-gt01.jpg" "https://ndownloader.figshare.com/files/27252981"
curl -L -o "0100-6991-rcbc-42-04-00209-gt02.jpg" "https://ndownloader.figshare.com/files/27252984"

文件清单

• 0100-6991-rcbc-42-04-00209-gf01.jpg（10.46 KB）
• 0100-6991-rcbc-42-04-00209-gt01.jpg（47.29 KB）
• 0100-6991-rcbc-42-04-00209-gt02.jpg（34.13 KB）

文件总体积 91.88 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

ABSTRACTObjective:to assess the impact of the shift inlet trauma patients, who underwent surgery, in-hospital mortality.Methods:a retrospective observational cohort study from November 2011 to March 2012, with data collected through electronic medical records. The following variables were statistically analyzed: age, gender, city of origin, marital status, admission to the risk classification (based on the Manchester Protocol), degree of contamination, time / admission round, admission day and hospital outcome.Results:during the study period, 563 patients injured victims underwent surgery, with a mean age of 35.5 years (± 20.7), 422 (75%) were male, with 276 (49.9%) received in the night shift and 205 (36.4%) on weekends. Patients admitted at night and on weekends had higher mortality [19 (6.9%) vs. 6 (2.2%), p=0.014, and 11 (5.4%) vs. 14 (3.9%), p=0.014, respectively]. In the multivariate analysis, independent predictors of mortality were the night admission (OR 3.15), the red risk classification (OR 4.87), and age (OR 1.17).Conclusion:the admission of night shift and weekend patients was associated with more severe and presented higher mortality rate. Admission to the night shift was an independent factor of surgical mortality in trauma patients, along with the red risk classification and age.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14316951.v1（source: https://scielo.figshare.com/articles/dataset/Night_admission_is_an_independent_risk_factor_for_mortality_in_trauma_patients_-_a_systemic_error_approach/14316951）。