铜绿假单胞菌医疗相关感染与耐药性数据集(巴西)
巴西公立医院铜绿假单胞菌医疗相关感染及其抗菌药物耐药性数据集,包含78份样本的标本类型和68株菌株的耐药性测试结果。

基本信息
资源简介
铜绿假单胞菌医疗相关感染与耐药性数据集(巴西)
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 2 个文件、合计 11.26 KB,主题涵盖 Pseudomonas aeruginosa、antimicrobial resistance、healthcare-associated infections、ICU,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《Healthcare-associated Infections by Pseudomonas aeruginosa and Antimicrobial Resistance in a Public Hospital from Alagoas (Brazil)》。源站首次发布:2022-05-31。
【数据内容】
源站原始描述:ABSTRACT Introduction Pseudomonas aeruginosa infections are common worldwide, affecting mainly hospitalized patients and causing healthcare-associated infections (HAIs), with a high frequency of antibiotic resistance and complicated outcomes. Objective To investigate the P. aeruginosa frequency in HAIs in a medium/high-complexity hospital in Alagoas (Brazil) and the antibiotic susceptibility profiles of the strains. Methods A retrospective cross-sectional study was conducted from January 2013 to…
【数据结构与技术规格】
文件数 2 个,合计 11.26 KB。数据集 DOI:10.6084/m9.figshare.19932252.v1。
【主题与分类】
源站学科分类:Medicine、Pathology、Medical Biotechnology not elsewhere classified。主题标签:Pseudomonas aeruginosa、antimicrobial resistance、healthcare-associated infections、ICU。
【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/Healthcare-associated_Infections_by_Pseudomonas_aeruginosa_and_Antimicrobial_Resistance_in_a_Public_Hospital_from_Alagoas_Brazil_/19932252
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Araújo, Maria Anilda dos Santos; Rodrigues, Joiciane Santos; Lobo, Teresa de Lisieux Guedes Ferreira; Maranhão, Fernanda Cristina de Albuquerque (2022). Healthcare-associated Infections by Pseudomonas aeruginosa and Antimicrobial Resistance in a Public Hospital from Alagoas (Brazil). SciELO journals…
【使用注意】
· 源站最后修改于 2023-05-31,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:Healthcare-associated Infections by Pseudomonas aeruginosa and Antimicrobial Resistance in a Public Hospital from Alagoas (Brazil)
- DOI:10.6084/m9.figshare.19932252.v1
- 发布日期:2022-05-31
- 文件数:2 个
- 文件总体积:11.26 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Healthcare-associated_Infections_by_Pseudomonas_aeruginosa_and_Antimicrobial_Resistance_in_a_Public_Hospital_from_Alagoas_Brazil_/19932252
命令行下载
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35457447"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35457450"
文件清单
Table_1.xls(5.63 KB)Table_2.xls(5.63 KB)
文件总体积 11.26 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 Introduction Pseudomonas aeruginosa infections are common worldwide, affecting mainly hospitalized patients and causing healthcare-associated infections (HAIs), with a high frequency of antibiotic resistance and complicated outcomes. Objective To investigate the P. aeruginosa frequency in HAIs in a medium/high-complexity hospital in Alagoas (Brazil) and the antibiotic susceptibility profiles of the strains. Methods A retrospective cross-sectional study was conducted from January 2013 to December 2014, when P. aeruginosa related-HAIs were evaluated after automated identification (Vitek®2) and documental analysis. Results Seventy-eight samples were positive for P. aeruginosa, with 37 (47.4%) isolates from patients of the general Intensive Care Unit (ICU) and 13 (16.7%) from the surgical unit. Tracheal secretion (25.6%), wound secretions (20.5%) and sputum (18.0%) were the main positive biological samples. Among 68 strains tested, 73.53% showed resistance to aztreonam, while cefepime, ceftriaxone and cefotaxime were not effective for any isolates (all resistant). High resistance to carbapenems imipenem (61.76%) and meropenem (55.88%) was observed, as well as 46 isolates resistant to piperacillin/tazobactam (67.64%); 47 (60.2%) from the general ICU and neonatal ICU were resistant to all antibiotics tested (MDR profile), except for colistin. Conclusion Our results indicated antibiotic-resistant P. aeruginosa highly present in ICU and the therapy with aminoglycosides and colistin as important choices in cases with failure against P. aeruginosa isolates. A constant screening of multidrug-resistant P. aeruginosa is necessary for the control in the hospital environment, evaluating the antibiotic susceptibility to guide the therapeutic choice.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.19932252.v1(source: https://scielo.figshare.com/articles/dataset/Healthcare-associated_Infections_by_Pseudomonas_aeruginosa_and_Antimicrobial_Resistance_in_a_Public_Hospital_from_Alagoas_Brazil_/19932252)。
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。




