COVID-19大流行期间非创伤性急腹症患者的临床流行病学变化:一项回顾性研究
该数据集为COVID-19大流行期间与非疫情期间非创伤性急腹症患者的临床流行病学对比回顾性研究数据,含515例患者的临床变量。

基本信息
资源简介
COVID-19大流行期间非创伤性急腹症患者的临床流行病学变化:一项回顾性研究
【数据集背景】
本数据集源站标题为《Clinical-epidemiological changes in patients with non-traumatic acute abdomen during the COVID-19 pandemic: a retrospective study》。配套论文《Clinical-epidemiological changes in patients with non-traumatic acute abdomen during the COVID-19 pandemic: a retrospective study》发表于 Revista do Colégio Brasileiro de Cirurgiões(2022),DOI:10.1590/0100-6991e-20223303-en。源站首次发布:2022-10-08。
【数据内容】
源站原始描述:ABSTRACT Objective: we intend to demonstrate the clinical alterations and the postoperative evolution in patients with acute abdomen non-traumatic in conservative or surgical treatment during the pandemic compared to a similar period in the last year. Method: a single-center retrospective study, including patients who received clinical-surgical treatment at Hospital do Trabalhador diagnosed with acute abdomen between March and August 2020 and a similar period in 2019.Variables studied ranged fro…
【数据结构与技术规格】
文件数 8 个,合计 45.06 KB。数据集 DOI:10.6084/m9.figshare.21299230.v1。
【主题与分类】
源站学科分类:Surgery。主题标签:Acute abdomen、COVID-19、Surgical Procedures of the Digestive System、Emergencies。
【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/Clinical-epidemiological_changes_in_patients_with_non-traumatic_acute_abdomen_during_the_COVID-19_pandemic_a_retrospective_study/21299230
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:CASTRO, GUSTAVO RODRIGUES ALVES; ZWIERZIKOWSKI, TIAGO AUGUSTO; LEMES, JOÃO GABRIEL DA SILVA; YUKI, VALERIA MIDORI GUTOSKI; GOUVEIA, KAUANA OLIVEIRA; ROGINSKI-GUETTER, CAMILA (2022). Clinical-epidemiological changes in patients with non-traumatic acute abdomen during the COVID-19 pandemic: a retrospe…
【使用注意】
· 源站最后修改于 2023-06-05,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:Clinical-epidemiological changes in patients with non-traumatic acute abdomen during the COVID-19 pandemic: a retrospective study
- DOI:10.6084/m9.figshare.21299230.v1
- 发布日期:2022-10-08
- 文件数:8 个
- 文件总体积:45.06 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Clinical-epidemiological_changes_in_patients_with_non-traumatic_acute_abdomen_during_the_COVID-19_pandemic_a_retrospective_study/21299230
命令行下载
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/37786465"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/37786468"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/37786471"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/37786474"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/37786477"
curl -L -o "Table_6.xls" "https://ndownloader.figshare.com/files/37786480"
curl -L -o "Table_7.xls" "https://ndownloader.figshare.com/files/37786483"
curl -L -o "Table_8.xls" "https://ndownloader.figshare.com/files/37786486"
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)Table_7.xls(5.63 KB)Table_8.xls(5.63 KB)
文件总体积 45.06 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 Objective: we intend to demonstrate the clinical alterations and the postoperative evolution in patients with acute abdomen non-traumatic in conservative or surgical treatment during the pandemic compared to a similar period in the last year. Method: a single-center retrospective study, including patients who received clinical-surgical treatment at Hospital do Trabalhador diagnosed with acute abdomen between March and August 2020 and a similar period in 2019.Variables studied ranged from demographic data to indices of social isolation. Results: 515 patients were included, 291 received treatment in a pre-pandemic period and 224 during. There was not statistical difference in relation to comorbidities (p=0.0685), time to diagnosis and seeking medical help. No statistical differences were observed in terms of days of hospitalization (p = 0.4738) and ICU need (p=0.2320). Regarding in-hospital deaths, there was statistical relevance in the age above 60 years (p=0.002) and there were more deaths during the pandemic period (p=0.032). However, when we analyze the factors associated with the number of days until diagnosis by a physician, there was no statistical difference. Conclusion: the analyzed data showed that the pandemic period and age over 60 years were the variables that increased the odds ratio for the in-hospital death outcome. However, the length of stay, days in intensive care unit and postoperative surgical complications showed no significant difference.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.21299230.v1(source: https://scielo.figshare.com/articles/dataset/Clinical-epidemiological_changes_in_patients_with_non-traumatic_acute_abdomen_during_the_COVID-19_pandemic_a_retrospective_study/21299230)。
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。




