癫痫持续状态患者医疗相关感染的危险因素及影响

厄瓜多尔单中心74例癫痫持续状态患者的回顾性数据,包括医疗相关感染的危险因素及对3个月死亡率的影响。

NIAID Data Ecosystem
浏览 15
表格Status EpilepticusCross InfectionMortalityEpilepsy
Predisposing factors and impact of healthcare-associated infections in patients with status epilepticus

基本信息

模态
表格
大小
0.000138443 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

癫痫持续状态患者医疗相关感染的危险因素及影响

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 8 个文件、合计 138.44 KB,主题涵盖 Status Epilepticus、Cross Infection、Mortality、Epilepsy,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Predisposing factors and impact of healthcare-associated infections in patients with status epilepticus》。配套论文《Predisposing factors and impact of healthcare-associated infections in patients with status epilepticus》发表于 Arquivos de Neuro-Psiquiatria(2021),DOI:10.1590/0004-282x-anp-2019-0365。源站首次发布:2022-05-30。

【数据内容】

源站原始描述:ABSTRACT Background: Few studies have evaluated the incidence, predisposing factors and impact of healthcare-associated infections (HCAIs) in relation to outcomes among patients with status epilepticus (SE). Objective: To investigate the variables associated with development of HCAIs among patients with SE and the impact of factors relating to HCAIs on mortality at three months. Methods: This study was a retrospective analysis on our prospectively collected dataset, from November 2015 to January…

【数据结构与技术规格】

文件数 8 个,合计 138.44 KB。数据集 DOI:10.6084/m9.figshare.19927645.v1。

【主题与分类】

源站学科分类:Neuroscience、Psychiatry (incl. Psychotherapy)。主题标签:Status Epilepticus、Cross Infection、Mortality、Epilepsy。

【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://scielo.figshare.com/articles/dataset/Predisposing_factors_and_impact_of_healthcare-associated_infections_in_patients_with_status_epilepticus/19927645

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

规范引用:RIVERO RODRÍGUEZ, Dannys; SCHERLE MATAMOROS, Claudio; DICAPUA SACOTO, Daniela; GARCIA-PTACEK, Sara; PERNAS SANCHEZ, Yanelis; PLUCK, Graham (2021). Predisposing factors and impact of healthcare-associated infections in patients with status epilepticus. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

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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 "7cf246701a626553f22e722b3adc7449531b553e.png" "https://ndownloader.figshare.com/files/35430739"
curl -L -o "32936146bfe5b04f7c80c482c363cf1c241db0e4.jpg" "https://ndownloader.figshare.com/files/35430742"
curl -L -o "98b21884e5c8d53964e6d3234864608fd9e06256.png" "https://ndownloader.figshare.com/files/35430745"
curl -L -o "9e31aa4d93debbbb63cef9caac642028b24c1f16.jpg" "https://ndownloader.figshare.com/files/35430748"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35430751"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35430754"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/35430757"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/35430760"

文件清单

  • 7cf246701a626553f22e722b3adc7449531b553e.png(36.71 KB)
  • 32936146bfe5b04f7c80c482c363cf1c241db0e4.jpg(3.74 KB)
  • 98b21884e5c8d53964e6d3234864608fd9e06256.png(62.63 KB)
  • 9e31aa4d93debbbb63cef9caac642028b24c1f16.jpg(4.65 KB)
  • Table_1.xls(9.73 KB)
  • Table_2.xls(9.73 KB)
  • Table_3.xls(5.63 KB)
  • Table_4.xls(5.63 KB)

文件总体积 138.44 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 Background: Few studies have evaluated the incidence, predisposing factors and impact of healthcare-associated infections (HCAIs) in relation to outcomes among patients with status epilepticus (SE). Objective: To investigate the variables associated with development of HCAIs among patients with SE and the impact of factors relating to HCAIs on mortality at three months. Methods: This study was a retrospective analysis on our prospectively collected dataset, from November 2015 to January 2019. The sample included all consecutive patients diagnosed with SE who were treated at Hospital Eugenio Espejo during that period. In total, 74 patients were included. Clinical variables such as age, etiology of SE, Charlson comorbidity index (CCI), hospital length of stay, refractory SE (RSE) and outcomes were analyzed. Results: HCAIs were diagnosed in 38 patients (51.4%), with a preponderance of respiratory tract infection (19; 25.7%). Prolonged hospital length of stay (OR=1.09; 95%CI 1.03-1.15) and CCI≥2 (OR=5.50; 95%CI 1.37-22.10) were shown to be independent variables relating to HCAIs. HCAIs were associated with an increased risk of mortality at three months, according to Cox regression analysis (OR=2.23; 95%CI 1.08-4.58), and with infection caused by Gram-negative microorganisms (OR=3.17; 95%CI 1.20-8.39). Kaplan-Meier curve analysis demonstrated that HCAIs had a negative impact on the survival rate at three months (log rank=0.025). Conclusions: HCAIs are a common complication among Ecuadorian patients with SE and were related to a lower survival rate at three months. Prolonged hospital length of stay, RSE and CCI≥2 were associated with the risk of developing HCAIs.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19927645.v1(source: https://scielo.figshare.com/articles/dataset/Predisposing_factors_and_impact_of_healthcare-associated_infections_in_patients_with_status_epilepticus/19927645)。

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