HAS-BLED评分预测经导管主动脉瓣置换术后出血和死亡率数据集

574名TAVR患者回顾性临床数据,用于验证HAS-BLED评分预测出血和死亡风险。

SciELO journalsSciELO journals
DataCite Commons
2022-09-20 更新
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表格Transcatheter Aortic Valve ReplacementBleedingMortalityBody Surface AreaHospital Mortality
HAS-BLED Score for Prediction of Bleeding and Mortality After Transcatheter Aortic Valve Replacement

基本信息

模态
表格
大小
0.001232009 GB
许可
CC BY 4.0
创建/更新时间
2022-09-20
版本
v1

资源简介

HAS-BLED评分预测经导管主动脉瓣置换术后出血和死亡率数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 9 个文件、合计 1.23 MB,主题涵盖 Transcatheter Aortic Valve Replacement、Bleeding、Mortality、Body Surface Area、Hospital 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《HAS-BLED Score for Prediction of Bleeding and Mortality After Transcatheter Aortic Valve Replacement》。配套论文《HAS-BLED Score for Prediction of Bleeding and Mortality After Transcatheter Aortic Valve Replacement》发表于 Brazilian Journal of Cardiovascular Surgery(2023),DOI:10.21470/1678-9741-2021-0331。源站首次发布:2022-09-20。

【数据内容】

源站原始描述:ABSTRACT Introduction: Bleeding after transcatheter aortic valve replacement (TAVR) is associated with increased mortality. The predictive value of the HAS-BLED score in TAVR patients is still to be evaluated. We assessed the value of the HAS-BLED score to predict in-hospital bleeding and mortality after TAVR and the impact of diferent renal impairment definitions on the predictive value of the score system. Methods: We retrospectively included 574 patients who underwent TAVR at a single center.…

【数据结构与技术规格】

文件数 9 个,合计 1.23 MB。数据集 DOI:10.6084/m9.figshare.21162096.v1。

【主题与分类】

源站学科分类:Cardiology、Surgery。主题标签:Transcatheter Aortic Valve Replacement、Bleeding、Mortality、Body Surface Area、Hospital 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/HAS-BLED_Score_for_Prediction_of_Bleeding_and_Mortality_After_Transcatheter_Aortic_Valve_Replacement/21162096

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

规范引用:Albabtain, Monirah A.; Arafat, Amr A.; Alghasoon, Haneen; Abdelsalam, Wiam; Almoghairi, Abdulrahman; Alotaiby, Mohammad (2022). HAS-BLED Score for Prediction of Bleeding and Mortality After Transcatheter Aortic Valve Replacement. 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。

官方服务

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

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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 "26420d7e5f10f7d00d06c27569a20e7c0c7bb698.tif" "https://ndownloader.figshare.com/files/37521084"
curl -L -o "15301f2d9039dd9c233cf1b3aed4cda7ff2a50fc.png" "https://ndownloader.figshare.com/files/37521087"
curl -L -o "a2822e5f1fb3658870065f3e7d226016e3aaa778.jpg" "https://ndownloader.figshare.com/files/37521090"
curl -L -o "f6b4a7938b6a3f6320ac2c2ea5d6f569c55743e0.tif" "https://ndownloader.figshare.com/files/37521093"
curl -L -o "b8e88c81938cb3f5b9dd68f40ccf90175b582a4c.png" "https://ndownloader.figshare.com/files/37521096"
curl -L -o "a7185a6947fec19079813ac81eb00cb792bb1fe4.jpg" "https://ndownloader.figshare.com/files/37521099"
curl -L -o "fe2e492fe3be5447b5e3afa6901d6ca935794db6.tif" "https://ndownloader.figshare.com/files/37521102"
curl -L -o "bbf6679694cc2fc9e692a3f63d8cd73127b98618.png" "https://ndownloader.figshare.com/files/37521105"

文件清单

  • 26420d7e5f10f7d00d06c27569a20e7c0c7bb698.tif(368.95 KB)
  • 15301f2d9039dd9c233cf1b3aed4cda7ff2a50fc.png(64.65 KB)
  • a2822e5f1fb3658870065f3e7d226016e3aaa778.jpg(6.17 KB)
  • f6b4a7938b6a3f6320ac2c2ea5d6f569c55743e0.tif(343.93 KB)
  • b8e88c81938cb3f5b9dd68f40ccf90175b582a4c.png(56.69 KB)
  • a7185a6947fec19079813ac81eb00cb792bb1fe4.jpg(5.62 KB)
  • fe2e492fe3be5447b5e3afa6901d6ca935794db6.tif(337.42 KB)
  • bbf6679694cc2fc9e692a3f63d8cd73127b98618.png(43.96 KB)
  • 63e77ebd0decef719d14d0c3405e25bc858db284.jpg(4.61 KB)

文件总体积 1.23 MB(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: Bleeding after transcatheter aortic valve replacement (TAVR) is associated with increased mortality. The predictive value of the HAS-BLED score in TAVR patients is still to be evaluated. We assessed the value of the HAS-BLED score to predict in-hospital bleeding and mortality after TAVR and the impact of diferent renal impairment definitions on the predictive value of the score system. Methods: We retrospectively included 574 patients who underwent TAVR at a single center. Study outcomes were 30-day mortality and the composite endpoint of major and life-threatening bleeding as defined by The Valve Academic Research Consortium-2. The predictive value of the HAS-BLED score was calculated and compared to a modified model. The performance of the score was compared using two definitions of renal impairment. Model discrimination was tested using C-statistic and the Net Reclassification Index. Results: Bleeding occurred in 78 patients (13.59%). HAS-BLED category 3 was a significant predictor of bleeding (OR: 1.99 ]1.18- 3.37], C-index: 0.56, P=0.01). C-index increased to 0.64 after adding body surface area and extracardiac arteriopathy to the model. The Net Reclassification Index showed an increase in the predic tive value of the model by 11.4% (P=0.002). The C-index increased to 0.61 using renal impairment definition based on creatinine clearance. Operative mortality was significantly associated with the HAS-BLED score (OR: 7.54 [95% CI: 2.73- 20.82], C-index: 0.73, P<0.001). Conclusion: The HAS-BLED score could be a good predictor of in-hospital mortality after TAVR. Its predictive value for bleeding was poor but improved by adding procedure-specific factors and using creatinine clearance to define renal impairment.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.21162096.v1(source: https://scielo.figshare.com/articles/dataset/HAS-BLED_Score_for_Prediction_of_Bleeding_and_Mortality_After_Transcatheter_Aortic_Valve_Replacement/21162096)。

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