重症细菌感染儿童死亡原因：基于人群的次优护理决定因素与后果研究（重点关注方法学问题）

数据集获取（Figshare）

• 源站标题：Why Children with Severe Bacterial Infection Die: A Population–Based Study of Determinants and Consequences of Suboptimal Care with a Special Emphasis on Methodological Issues
• DOI：10.1371/journal.pone.0107286
• 发布日期：2014-09-23
• 文件数：3 个
• 文件总体积：4.18 MB
• 源站页面：https://plos.figshare.com/articles/dataset/_Why_Children_with_Severe_Bacterial_Infection_Die_A_Population_8211_Based_Study_of_Determinants_and_Consequences_of_Suboptimal_Care_with_a_Special_Emphasis_on_Methodological_Issues_/1178480

命令行下载

curl -L -o "Figure_S1.tif" "https://ndownloader.figshare.com/files/1686381"
curl -L -o "Figure_S2.tif" "https://ndownloader.figshare.com/files/1686382"
curl -L -o "Figure_S3.tif" "https://ndownloader.figshare.com/files/1686383"

文件清单

• Figure_S1.tif（1.84 MB）
• Figure_S2.tif（1.56 MB）
• Figure_S3.tif（781.28 KB）

文件总体积 4.18 MB（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

Introduction
Suboptimal care is frequent in the management of severe bacterial infection. We aimed to evaluate the consequences of suboptimal care in the early management of severe bacterial infection in children and study the determinants.
Methods
A previously reported population-based confidential enquiry included all children (3 months- 16 years) who died of severe bacterial infection in a French area during a 7-year period. Here, we compared the optimality of the management of these cases to that of pediatric patients who survived a severe bacterial infection during the same period for 6 types of care: seeking medical care by parents, evaluation of sepsis signs and detection of severe disease by a physician, timing and dosage of antibiotic therapy, and timing and dosage of saline bolus. Two independent experts blinded to outcome and final diagnosis evaluated the optimality of these care types. The effect of suboptimal care on survival was analyzed by a logistic regression adjusted on confounding factors identified by a causal diagram. Determinants of suboptimal care were analyzed by multivariate multilevel logistic regression.
Results
Suboptimal care was significantly more frequent during early management of the 21 children who died as compared with the 93 survivors: 24% vs 13% (p = 0.003). The most frequent suboptimal care types were delay to seek medical care (20%), under-evaluation of severity by the physician (20%) and delayed antibiotic therapy (24%). Young age (under 1 year) was independently associated with higher risk of suboptimal care, whereas being under the care of a paediatric emergency specialist or a mobile medical unit as compared with a general practitioner was associated with reduced risk.
Conclusions
Suboptimal care in the early management of severe bacterial infection had a global independent negative effect on survival. Suboptimal care may be avoided by better training of primary care physicians in the specifics of pediatric medicine.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0107286（source: https://plos.figshare.com/articles/dataset/_Why_Children_with_Severe_Bacterial_Infection_Die_A_Population_8211_Based_Study_of_Determinants_and_Consequences_of_Suboptimal_Care_with_a_Special_Emphasis_on_Methodological_Issues_/1178480）。