中国儿童肺外结核住院患者流行病学:一项描述性多中心研究
中国多中心儿童肺外结核住院患者的临床流行病学与费用负担数据集。

基本信息
资源简介
中国儿童肺外结核住院患者流行病学:一项描述性多中心研究
【数据集背景】
本数据集源站标题为《Epidemiology of extrapulmonary tuberculosis among pediatric inpatients in mainland China: a descriptive, multicenter study》。配套论文《Epidemiology of extrapulmonary tuberculosis among pediatric inpatients in mainland China: a descriptive, multicenter study》发表于 Emerging Microbes & Infections(2022),DOI:10.1080/22221751.2022.2054367。项目资助方:This work was supported by National Natural Science Foundation of China: [Grant Number 81401739]; Beijing Hospitals Authority’ Ascent Plan: [Grant Number DFL20191201]; Beijing Hospitals Authority Clinical medicine Development of special funding: [Grant Number XMLX202121]; The Special Fund of The Pediatric Medical Coordinated Development Center of Beijing Municipal Administration of Hospitals: [Grant Number XTCX201806]; Beijing Talent Training Funded Project: [Grant Number 2018000021469G277].。源站首次发布:2022-04-13。
【数据内容】
源站原始描述:Pediatric tuberculosis (TB) is a serious infectious disease that affects many children worldwide and is more likely to be extrapulmonary than adult TB. However, the clinical and epidemiological profile, and cost burden of pediatric extrapulmonary TB (EPTB) in China remain unknown. Here, we conducted a descriptive, multicenter study of pediatric TB patients from 22 hospitals across all six regions in China from October 2015 to December 2018. Of 4,654 patients, 54.23% (2,524) had pulmonary TB (PTB…
【数据结构与技术规格】
文件数 4 个,合计 445.88 KB。Figure S1 Distribution of death cases among hospitals..tif:image/tiff,405.76 KB。Supplementary Table 1.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,11.98 KB。Supplementary Table 2.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,15.85 KB。数据集 DOI:10.6084/m9.figshare.19362548.v2。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Biological Sciences not elsewhere classified、Cancer、Science Policy、Infectious Diseases。主题标签:Extrapulmonary tuberculosis、children、China、inpatients、epidemiology。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Epidemiology_of_extrapulmonary_tuberculosis_among_pediatric_inpatients_in_mainland_China_a_descriptive_multicenter_study/19362548
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Epidemiology of extrapulmonary tuberculosis among pediatric inpatients in mainland China: a descriptive, multicenter study. Taylor & Francis. Chu, Ping; Chang, Yan; Zhang, Xuan; Han, Shujing; Jin, Yaqiong; Yu, Yongbo; et al
【使用注意】
· 源站最后修改于 2025-11-18,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Epidemiology of extrapulmonary tuberculosis among pediatric inpatients in mainland China: a descriptive, multicenter study
- DOI:10.6084/m9.figshare.19362548.v2
- 发布日期:2022-04-13
- 文件数:4 个
- 文件总体积:445.88 KB
- 源站页面:https://tandf.figshare.com/articles/dataset/Epidemiology_of_extrapulmonary_tuberculosis_among_pediatric_inpatients_in_mainland_China_a_descriptive_multicenter_study/19362548
命令行下载
curl -L -o "Figure S1 Distribution of death cases among hospitals..tif" "https://ndownloader.figshare.com/files/34799949"
curl -L -o "Supplementary Table 1.xlsx" "https://ndownloader.figshare.com/files/34799952"
curl -L -o "Supplementary Table 2.xlsx" "https://ndownloader.figshare.com/files/34799955"
curl -L -o "Supplementary Table 3.xlsx" "https://ndownloader.figshare.com/files/34799958"
文件清单
Figure S1 Distribution of death cases among hospitals..tif(405.76 KB)Supplementary Table 1.xlsx(11.98 KB)Supplementary Table 2.xlsx(15.85 KB)Supplementary Table 3.xlsx(12.28 KB)
文件总体积 445.88 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
Pediatric tuberculosis (TB) is a serious infectious disease that affects many children worldwide and is more likely to be extrapulmonary than adult TB. However, the clinical and epidemiological profile, and cost burden of pediatric extrapulmonary TB (EPTB) in China remain unknown. Here, we conducted a descriptive, multicenter study of pediatric TB patients from 22 hospitals across all six regions in China from October 2015 to December 2018. Of 4,654 patients, 54.23% (2,524) had pulmonary TB (PTB), 17.76% (827) had EPTB, and 28.00% (1,303) had concurrent extrapulmonary and pulmonary TB (combined TB). Compared with PTB, EPTB and combined TB were associated with lower hospitalization frequency (2.43 and 2.21 vs. 3.16 times), longer length of stay (10.61 and 11.27 vs. 8.56 days), and higher rate of discharge against medical advice (8.46% and 9.44% vs. 5.67%). EPTB was associated with higher mortality (0.97% vs. 0.24% and 0.31%), higher rate of low birth weight (17.69% vs. 6.79% and 6.22%), worse diagnosis at the first visit (21.16% vs. 34.67% and 44.47%), and worse hospitalization plan situation (4.35% vs. 7.81% and 7.44%), compared with PTB and combined TB. EPTB and combined TB had higher financial burdens (17.67% and 16.94% vs. 13.30%) and higher rates of catastrophic expenditure (8.22% and 9.59% vs. 5.03%), compared with PTB. Meningitis TB (34.18%) was the most frequent form of total extrapulmonary infection and had the highest cost burden and rate of catastrophic expenditure. In conclusion, improved screening approaches for pediatric EPTB are needed to reduce diagnostic challenges and financial burden.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.19362548.v2(source: https://tandf.figshare.com/articles/dataset/Epidemiology_of_extrapulmonary_tuberculosis_among_pediatric_inpatients_in_mainland_China_a_descriptive_multicenter_study/19362548)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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