活动性感染性心内膜炎手术治疗中的死亡率预测因素
包含88名活动性感染性心内膜炎手术患者的临床数据,用于分析长期死亡率预测因素。

基本信息
资源简介
活动性感染性心内膜炎手术治疗中的死亡率预测因素
【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 868.77 KB,主题涵盖 Endocarditis, Bacterial、Heart Valves、Cardiovascular Surgical Procedures、Heart Valve Prosthesis Implantation、Mortality,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《Mortality Predictors in the Surgical Treatment of Active Infective Endocarditis》。配套论文《Mortality Predictors in the Surgical Treatment of Active Infective Endocarditis》发表于 Brazilian Journal of Cardiovascular Surgery(2018),DOI:10.21470/1678-9741-2017-0132。源站首次发布:2018-04-04。
【数据内容】
源站原始描述:Abstract Introduction: Active infective endocarditis is associated with high morbidity and mortality. Surgery is indicated in high-risk conditions, and the main determinants of mortality in surgical treatment should be evaluated. Objective: To identify mortality predictors in the surgical treatment of active infective endocarditis in a long-term follow-up. Methods: This prospective observational study involved 88 consecutive patients diagnosed with active infective endocarditis, who underwent su…
【数据结构与技术规格】
文件数 8 个,合计 868.77 KB。数据集 DOI:10.6084/m9.figshare.6083675.v1。
【主题与分类】
源站学科分类:Cardiology、Surgery。主题标签:Endocarditis, Bacterial、Heart Valves、Cardiovascular Surgical Procedures、Heart Valve Prosthesis Implantation、Mortality。
【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/Mortality_Predictors_in_the_Surgical_Treatment_of_Active_Infective_Endocarditis/6083675
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Oliveira, Jenny Lourdes Rivas de; Santos, Magaly Arrais dos; Arnoni, Renato Tambellini; Ramos, Auristela; Togna, Dorival Della; Ghorayeb, Samira Kaissar; et al. (2018). Mortality Predictors in the Surgical Treatment of Active Infective Endocarditis. 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。
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:Mortality Predictors in the Surgical Treatment of Active Infective Endocarditis
- DOI:10.6084/m9.figshare.6083675.v1
- 发布日期:2018-04-04
- 文件数:8 个
- 文件总体积:868.77 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Mortality_Predictors_in_the_Surgical_Treatment_of_Active_Infective_Endocarditis/6083675
命令行下载
curl -L -o "0102-7638-rbccv-33-01-0032-gf01.jpg" "https://ndownloader.figshare.com/files/10962338"
curl -L -o "0102-7638-rbccv-33-01-0032-gf02.jpg" "https://ndownloader.figshare.com/files/10962344"
curl -L -o "0102-7638-rbccv-33-01-0032-gf03.jpg" "https://ndownloader.figshare.com/files/10962359"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/10962362"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/10962365"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/10962380"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/10962395"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/10962404"
文件清单
0102-7638-rbccv-33-01-0032-gf01.jpg(252.53 KB)0102-7638-rbccv-33-01-0032-gf02.jpg(279.54 KB)0102-7638-rbccv-33-01-0032-gf03.jpg(308.54 KB)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)
文件总体积 868.77 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: Active infective endocarditis is associated with high morbidity and mortality. Surgery is indicated in high-risk conditions, and the main determinants of mortality in surgical treatment should be evaluated. Objective: To identify mortality predictors in the surgical treatment of active infective endocarditis in a long-term follow-up. Methods: This prospective observational study involved 88 consecutive patients diagnosed with active infective endocarditis, who underwent surgery between January 2005 and December 2015. Fifty-eight (65.9%) patients were male, the mean age was 50.87±16.15 years. A total of 31 (35.2%) patients had a history of rheumatic fever; 48 (54.5%) had had heart surgery with prosthetic valve implantation; 45 (93.8%) had biological prosthetic valve endocarditis and 3 (6.3%) mechanical prosthetic valve; 40 (45.5%) patients had the disease in their native valve. The mean EuroSCORE II was 8.9±6.5%, and the main surgical indication was refractory heart failure in 38 (43.2%) patients. A total of 68 bioprosthesis (36 aortic, 32 mitral) and 29 mechanical prostheses (12 aortic, 17 mitral) were implanted and three mitral valve plasties performed. A total of 25 (28.4%) patients underwent double or triple valve procedures. Aortic annulus reconstruction by abscess was performed in 18 (20.5%) and six (6.81%) patients had combined procedure. The mean surgery time was 359±97.6 minutes. Results: The overall survival in up to a 10-year follow-up period was 79.5%. In the univariate analysis, the main mortality predictors were positive blood cultures (P=0.003), presence of typical microorganisms (P=0.008), most frequently Streptococcus viridans (12 cases; 25%); C-reactive protein (hazard ratio [HR] 1.034, 95% confidence interval [CI] 1.000 to 1.070, P=0.04); creatinine clearance (HR 0.977, 95% CI 0.962 to 0.993, P=0.005); length of surgery: every five minutes multiplies the chance of death 1.005-fold (HR 1.005, 95% CI 1.001 to 1.009, P=0.0307); age (HR 1.060, 95% CI 1.026 to 1.096, P=0.001); and EuroSCORE II (HR 1.089, 95% CI 1.030 to 1.151, P=0.003). Conclusion: A positive blood culture with typical microorganism, C-reactive protein, a
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.6083675.v1(source: https://scielo.figshare.com/articles/dataset/Mortality_Predictors_in_the_Surgical_Treatment_of_Active_Infective_Endocarditis/6083675)。
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。
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