S1 文件 -

COVID-19 疫情期间 AECOPD 住院患者临床特征与预后的研究补充文件,纳入 340 例患者。

NIAID Data Ecosystem
浏览 8
其他socioepoc validation cohort19 healthcare emergency9 %)althoughfollowing 3 months6 .; 95xlink "> although1 – 2xlink ">two hospitalsspecific studiessocial profilessocial level
S1 File -

基本信息

模态
其他
大小
0.000036375 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

S1 文件 -

【一句话概览】

本数据集是 figshare 公开数据集,收录 1 个文件、合计 36.38 KB,主题涵盖 socioepoc validation cohort、19 healthcare emergency、9 %), although、following 3 months、6 .; 95,源站分类为 Medicine、Neuroscience、Cancer、Mental Health,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《S1 File -》。源站首次发布:2023-09-14。

【数据内容】

源站原始描述:Introduction Although a reduction in admissions for pathologies other than SARS-CoV-2 has been reported during the pandemic, there are hardly any specific studies in relation to COPD. The objective of this study was to analyse differences in the profile of those admitted for AEPOC and their prognosis during this period. Methods Prospective study (SocioEPOC validation cohort) conducted in two hospitals. Demographic, clinical and social characteristics were compared among patients admitted for an…

【数据结构与技术规格】

文件数 1 个,合计 36.38 KB。pone.0290156.s001.sav:application/x-tar,36.38 KB。数据集 DOI:10.1371/journal.pone.0290156.s001。

【主题与分类】

源站学科分类:Medicine、Neuroscience、Cancer、Mental Health、Infectious Diseases、Computational Biology。主题标签:socioepoc validation cohort、19 healthcare emergency、9 %), although、following 3 months、6 .; 95、1 – 2、two hospitals、specific studies、social profiles、social level。

【适用方向】

源站学科分类标注为 Medicine、Neuroscience、Cancer、Mental Health、Infectious Diseases、Computational Biology。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/S1_File_-/24141810

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Villar, Alberto Fernández; Gómez, Rafael Golpe; Montaos, Almudena González; García, Sara Fernández; Area, Luis Pazos; Carrera, Ana Priegue; et al. (2023). S1 File -. PLOS ONE. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

命令行下载

curl -L -o "pone.0290156.s001.sav" "https://ndownloader.figshare.com/files/42355632"

文件清单

  • pone.0290156.s001.sav(36.38 KB)

文件总体积 36.38 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

Introduction
Although a reduction in admissions for pathologies other than SARS-CoV-2 has been reported during the pandemic, there are hardly any specific studies in relation to COPD. The objective of this study was to analyse differences in the profile of those admitted for AEPOC and their prognosis during this period.
Methods
Prospective study (SocioEPOC validation cohort) conducted in two hospitals. Demographic, clinical and social characteristics were compared among patients admitted for an AECOPD before and after the declaration of the COVID-19 healthcare emergency. Mortality and the need for hospital care in the following 3 months were analysed.
Results
340 patients (76.6% male, 72 years, FEV1 43.5%) were included, 174 in the post-pandemic phase. During pandemic, especially before population-level vaccination, admissions for AECOPD were in patients with more severe disease and with a higher level of eosinophils. No differences were found in social profile, except they had more informal caregivers. The mortality rate at 90 days was the same (9%), although those admitted during the pandemic came for more hospital visits in the following 3 months (53.8% vs. 42%; p = 0.003), with the pandemic phase being an independent predictor of this possibility (OR = 1.6.; 95% IC = 1.1–2.6).
Conclusions
In the first few months of the pandemic, the clinical profile of patients hospitalised for an AECOPD differed from that both prior to this period and during the latter months of the pandemic, with minimal changes at the social level. Although the mortality rate were similar, unscheduled hospital visits increased during the COVID-19 pandemic.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0290156.s001(source: https://plos.figshare.com/articles/dataset/S1_File_-/24141810)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案