不同评分模型预测肝硬化患者TIPS术后肝性脑病疗效的比较

数据集获取（Figshare）

• 源站标题：Comparing efficacy of different scoring models to predict hepatic encephalopathy after TIPS in cirrhotic patients
• DOI：10.6084/m9.figshare.29257370.v1
• 发布日期：2025-06-06
• 文件数：4 个
• 文件总体积：22.89 MB
• 源站页面：https://tandf.figshare.com/articles/dataset/Comparing_efficacy_of_different_scoring_models_to_predict_hepatic_encephalopathy_after_TIPS_in_cirrhotic_patients/29257370

命令行下载

curl -L -o "Supplementary Figure 1_Apr16.tif" "https://ndownloader.figshare.com/files/55177247"
curl -L -o "Supplementary Figure 2_Apr16.tif" "https://ndownloader.figshare.com/files/55177250"
curl -L -o "Supplementary figure legends_Apr15.docx" "https://ndownloader.figshare.com/files/55177253"
curl -L -o "Supplementary_Table_1_Apr15 - clean.docx" "https://ndownloader.figshare.com/files/55177256"

文件清单

• Supplementary Figure 1_Apr16.tif（10.41 MB）
• Supplementary Figure 2_Apr16.tif（12.42 MB）
• Supplementary figure legends_Apr15.docx（25.30 KB）
• Supplementary_Table_1_Apr15 - clean.docx（28.93 KB）

文件总体积 22.89 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

Assessing hepatic encephalopathy (HE) risk post-transjugular intrahepatic portosystemic shunt (TIPS) in cirrhotic patients is crucial. This study compares the predictive performance of Child-Pugh and Model for End-Stage Liver Disease (MELD), CLIFC-AD and Freiburg index of post-TIPS survival (FIPS) scores for overt and severe HE. To compare the predictive value of Child-Pugh, MELD, CLIFC-AD and FIPS scores for overt and severe HE post-TIPS in cirrhotic patients.
We retrospectively analysed data from 406 cirrhotic TIPS patients (January 2017–January 2021). Scoring models were assessed for differentiation (C-index), calibration, clinical utility and overall performance at 1, 3, 6 and 12 months post-TIPS.
Predictive performance for overt HE post-TIPS was low across models. FIPS had superior predictive ability for severe HE at 1 and 12 months post-TIPS (C-index: 0.781, 0.705). FIPS and CLIFC-AD showed good predictive capacity for severe HE in sarcopenic patients at 1 and 12 months (FIPS: C-index 0.863, 0.757; CLIFC-AD: C-index 0.748, 0.732). FIPS had the highest hazard ratio for severe HE (HR = 3.520, 95% CI: 2.134–5.807) and CLIFC-AD for overt HE (HR = 2.132, 95% CI: 1.581–2.874).
FIPS and CLIFC-AD scores demonstrate significant predictive ability for severe HE post-TIPS, particularly in sarcopenic patients.

The study compares Child-Pugh, MELD, CLIFC-AD and FIPS scores for predicting hepatic encephalopathy post-TIPS.
FIPS excels in predicting post-TIPS severe hepatic encephalopathy.
FIPS and CLIFC-AD scores effectively predict severe hepatic encephalopathy in sarcopenic patients.

The study compares Child-Pugh, MELD, CLIFC-AD and FIPS scores for predicting hepatic encephalopathy post-TIPS.
FIPS excels in predicting post-TIPS severe hepatic encephalopathy.
FIPS and CLIFC-AD scores effectively predict severe hepatic encephalopathy in sarcopenic patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.29257370.v1（source: https://tandf.figshare.com/articles/dataset/Comparing_efficacy_of_different_scoring_models_to_predict_hepatic_encephalopathy_after_TIPS_in_cirrhotic_patients/29257370）。