腹主动脉瘤择期血管内修复术后中远期死亡风险预测验证模型

数据集获取（Figshare）

• 源站标题：A validated predictive model for mid- and long-term mortality risk assessment after elective endovascular repair in abdominal aortic aneurysm patients
• DOI：10.6084/m9.figshare.29378180.v1
• 发布日期：2025-06-22
• 文件数：33 个
• 文件总体积：19.90 MB
• 源站页面：https://tandf.figshare.com/articles/dataset/A_validated_predictive_model_for_mid-_and_long-term_mortality_risk_assessment_after_elective_endovascular_repair_in_abdominal_aortic_aneurysm_patients/29378180

命令行下载

curl -L -o "iann_a_2519685_sm5482.docx" "https://ndownloader.figshare.com/files/55553522"
curl -L -o "iann_a_2519685_sm4833.docx" "https://ndownloader.figshare.com/files/55553525"
curl -L -o "iann_a_2519685_sm4832.tif" "https://ndownloader.figshare.com/files/55553528"
curl -L -o "iann_a_2519685_sm4831.tif" "https://ndownloader.figshare.com/files/55553531"
curl -L -o "iann_a_2519685_sm4830.tif" "https://ndownloader.figshare.com/files/55553534"
curl -L -o "iann_a_2519685_sm4829.docx" "https://ndownloader.figshare.com/files/55553537"
curl -L -o "iann_a_2519685_sm4828.tif" "https://ndownloader.figshare.com/files/55553540"
curl -L -o "iann_a_2519685_sm4827.tif" "https://ndownloader.figshare.com/files/55553543"

文件清单

• iann_a_2519685_sm5482.docx（16.18 KB）
• iann_a_2519685_sm4833.docx（11.77 KB）
• iann_a_2519685_sm4832.tif（91.37 KB）
• iann_a_2519685_sm4831.tif（117.35 KB）
• iann_a_2519685_sm4830.tif（861.36 KB）
• iann_a_2519685_sm4829.docx（35.49 KB）
• iann_a_2519685_sm4828.tif（751.82 KB）
• iann_a_2519685_sm4827.tif（1.13 MB）
• iann_a_2519685_sm4826.tif（114.05 KB）
• iann_a_2519685_sm4825.tif（1.04 MB）
• iann_a_2519685_sm4824.tif（114.48 KB）
• iann_a_2519685_sm4823.tif（90.20 KB）
• iann_a_2519685_sm4822.tif（1.16 MB）
• iann_a_2519685_sm4821.tif（1.16 MB）
• iann_a_2519685_sm4820.tif（1.02 MB）
• iann_a_2519685_sm4819.tif（116.66 KB）
• iann_a_2519685_sm4818.tif（1.17 MB）
• iann_a_2519685_sm4817.tif（762.28 KB）
• iann_a_2519685_sm4816.tif（765.56 KB）
• iann_a_2519685_sm4815.docx（18.36 KB）

文件总体积 19.90 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

Risk scoring systems for open surgical repair of abdominal aortic aneurysm (AAA) may overestimate mortality after endovascular aneurysm repair (EVAR). A model for mid-term and long-term mortality after EVAR is still lacking.
MEDLINE, Embase and WOS were searched from January 1, 2000 to December 31, 2022. Hazard ratios and 95% confidence intervals (CI) for mortality-related risk factors were extracted and synthesized in a meta-analysis. The C-statistics, IDI, NRI and DCA were used to assess the stability. A predictive model incorporating independent meta-analytic variables was developed, validated in a clinical cohort and compared with the Giles model.
35 studies containing 49272 patients were analyzed. A prediction model was established, including age, gender, aneurysm diameter, American Society of Anesthetists score, chronic obstructive pulmonary disease, cardiac disease, renal disease, cerebrovascular disease, diabetes, peripheral vascular disease, statins, aspirin, and smoker. The model had a C-statistic of 0.738 (95%CI:0.697, 0.779) in validation cohort, comprising 537 patients after EVAR. The sensitivities were 0.765, 0.796 and 0.756, and the specificities were 0.744, 0.652 and 0.668 at 1/3/5 years. In contrast, Giles model had a C-statistic of 0.657 (95%CI:0.608, 0.706). Integrated discrimination improvement (0.03, p p = 0.01; 0.062, p p p p This meta-analysis-derived AAA long-term mortality prediction model employs precision risk stratification to enhance clinical decision-making and implement personalized follow-up protocols, thereby delivering evidence-based support for clinical practice.
Although multiple risk stratification systems have been established for prognostic assessment following endovascular aneurysm repair (EVAR), these models exhibit notable limitations. Current paradigms predominantly focus on short-term prognostic evaluation within 30 days to 1 year postoperatively, while demonstrating insufficient capability to predict long-term or all-cause mortality and clinical outcomes. To address these gaps, this study developed a novel predictive model for long-term mortality risk after EVAR through systematic analysis of multicenter, large-sca

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.29378180.v1（source: https://tandf.figshare.com/articles/dataset/A_validated_predictive_model_for_mid-_and_long-term_mortality_risk_assessment_after_elective_endovascular_repair_in_abdominal_aortic_aneurysm_patients/29378180）。