巴西维多利亚大学医院微生物流行率和抗菌药物敏感性谱

数据集获取（Figshare）

• 源站标题：Prevalence and antimicrobial susceptibility profile of microorganisms in a university hospital from Vitória (ES), Brazil
• DOI：10.6084/m9.figshare.6504698.v1
• 发布日期：2018-06-13
• 文件数：6 个
• 文件总体积：33.79 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Prevalence_and_antimicrobial_susceptibility_profile_of_microorganisms_in_a_university_hospital_from_Vit_ria_ES_Brazil/6504698

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35756076"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35756079"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/35756082"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/11963216"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/11963219"
curl -L -o "Table_6.xls" "https://ndownloader.figshare.com/files/11963225"

文件清单

• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（5.63 KB）
• Table_5.xls（5.63 KB）
• Table_6.xls（5.63 KB）

文件总体积 33.79 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: Healthcare associated infections (HAIs) occur during the hospital stay as a result of underlying morbidity, invasive procedures, acute pathology or medical treatment. They lead prolonged stay and, consequently, to an increase in financial charges. The main tool to control these infections is the use of antimicrobials. However, the increase in resistance and the low frequency of discovery of new drugs justify the research that evaluates the resistance profile of microorganisms to antimicrobials. OBJECTIVE: To evaluate the prevalence and antimicrobial susceptibility profile of HAIs at a philanthropic reference hospital in Espírito Santo, Brazil. METHODS: Observational, retrospective and cross-sectional study, between July 2014 and June 2016. Data on blood, urine and corporal secretions culture were collected from the data base of the Hospital Infection Control Commission. RESULTS: There was a high prevalence of HAIs in patients older than 60 years. Two hundred and forty three (47.55%) patients were female. The four most prevalent bacteria were: Acinetobacter spp., Klebsiella pneumoniae, Pseudomonas aeruginosa and Staphylococcus aureus. Polymyxin was the drug which presented the best antimicrobial effects. CONCLUSION: Polymyxin was active in vitro against all isolates of Acinetobacter spp. Regarding K. pneumoniae, both polymyxin and amikacin showed a significant effectiveness. Regarding Pseudomonas aeruginosa, polymyxin was effective in all samples. Regarding S. aureus, teicoplanin, daptomycin and vancomycin were effective in all samples. Polymyxin showed a good overall in vitro activity.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.6504698.v1（source: https://scielo.figshare.com/articles/dataset/Prevalence_and_antimicrobial_susceptibility_profile_of_microorganisms_in_a_university_hospital_from_Vit_ria_ES_Brazil/6504698）。