Elixhauser Comorbidity Score Is the Best Risk Score in Predicting Survival After Mitraclip Implantation

数据集获取（Figshare）

• 源站标题：Elixhauser Comorbidity Score Is the Best Risk Score in Predicting Survival After Mitraclip Implantation
• DOI：10.6084/m9.figshare.5592649.v3
• 发布日期：2020-10-23
• 文件数：2 个
• 文件总体积：70.14 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Elixhauser_comorbidity_score_is_the_best_risk_score_in_predicting_survival_after_MitraClip_implantation/5592649

命令行下载

curl -L -o "JFVelu_Supplementary_Table_1.doc" "https://ndownloader.figshare.com/files/9727528"
curl -L -o "JFVelu_Supplementary_materials.doc" "https://ndownloader.figshare.com/files/9727531"

文件清单

• JFVelu_Supplementary_Table_1.doc（43.52 KB）
• JFVelu_Supplementary_materials.doc（26.62 KB）

文件总体积 70.14 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

Background: Risk scores to assess life expectancy may be beneficial in clinical decision making in selecting frail patients for MitraClip implantation according to the guidelines. This study was conducted to determine the risk score that performs best in predicting 1-year survival in patients undergoing percutaneous mitral valve repair using the MitraClip.
Method: All consecutive patients who underwent a MitraClip implantation between May 2009 and May 2016 were enrolled. The STS-PROM score, EuroSCORE I, EuroSCORE II, ACEF, Charlson comorbidity score, Elixhauser comorbidity score, Guaragna score, OBSERVANT score and Ambler score were calculated. The capacity to discriminate between 1-year survival and 1-year mortality was assessed by the area under the receiver operating characteristic (ROC) curve (c statistic).
Results: In the study 152 patients were included, 52% was male and the median age was 78 (interquartile range 69–83). Primary MR was present in 64% of the patients. On average, 1.5 MitraClips were implanted without any procedural mortality. The overall 1-year survival of this cohort was 80%. The Elixhauser comorbidity score showed the largest area under the ROC curve of 0.75 (95% confidence interval: 0.66–0.84). The other tests showed a smaller area under the ROC curve ranging from 0.51 (Guaragna score) to 0.72 (Charlson comorbidity score).
Conclusion: The Elixhauser comorbidity score has the best performance in predicting 1-year survival after MitraClip implantation. Therefore, the Elixhauser risk score should be used for making an assessment of 1-year mortality when selecting patients for treatment with the MitraClip.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.5592649.v3（source: https://tandf.figshare.com/articles/dataset/Elixhauser_comorbidity_score_is_the_best_risk_score_in_predicting_survival_after_MitraClip_implantation/5592649）。