肺切除术后新发房颤预测模型的开发与验证-65611

数据集获取（Figshare）

• 源站标题：Development and validation of a novel prediction model for new-onset atrial fibrillation after lung resection
• DOI：10.6084/m9.figshare.29364531.v1
• 发布日期：2025-06-19
• 文件数：27 个
• 文件总体积：62.30 MB
• 源站页面：https://tandf.figshare.com/articles/dataset/Development_and_validation_of_a_novel_prediction_model_for_new-onset_atrial_fibrillation_after_lung_resection/29364531

命令行下载

curl -L -o "iann_a_2519673_sm4726.docx" "https://ndownloader.figshare.com/files/55496572"
curl -L -o "Suppl Figure 10.tiff" "https://ndownloader.figshare.com/files/55496575"
curl -L -o "Suppl Figure 11.tiff" "https://ndownloader.figshare.com/files/55496578"
curl -L -o "Suppl Figure 12.tiff" "https://ndownloader.figshare.com/files/55496581"
curl -L -o "Suppl Figure 13.tiff" "https://ndownloader.figshare.com/files/55496584"
curl -L -o "Suppl Figure 14.tiff" "https://ndownloader.figshare.com/files/55496587"
curl -L -o "Suppl Figure 15.tiff" "https://ndownloader.figshare.com/files/55496590"
curl -L -o "Suppl Figure 16.tiff" "https://ndownloader.figshare.com/files/55496593"

文件清单

• iann_a_2519673_sm4726.docx（40.76 MB）
• Suppl Figure 10.tiff（671.38 KB）
• Suppl Figure 11.tiff（671.38 KB）
• Suppl Figure 12.tiff（671.38 KB）
• Suppl Figure 13.tiff（671.38 KB）
• Suppl Figure 14.tiff（671.38 KB）
• Suppl Figure 15.tiff（671.38 KB）
• Suppl Figure 16.tiff（671.38 KB）
• Suppl Figure 1a.tiff（1.07 MB）
• Suppl Figure 1b.tiff（569.74 KB）
• Suppl Figure 1c.tiff（545.66 KB）
• Suppl Figure 1d.tiff（612.73 KB）
• Suppl Figure 2a.tiff（1.48 MB）
• Suppl Figure 2b.tiff（1.48 MB）
• Suppl Figure 3a.tiff（711.15 KB）
• Suppl Figure 3b.tiff（670.96 KB）
• Suppl Figure 4a.tiff（1.08 MB）
• Suppl Figure 4b.tiff（1.02 MB）
• Suppl Figure 5a.tiff（749.70 KB）
• Suppl Figure 5b.tiff（588.21 KB）

文件总体积 62.30 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

Postoperative atrial fibrillation (POAF) is the most prevalent and potentially life-threatening arrhythmia following thoracic surgery. This study aimed to construct and validate a predictive model for assessing POAF risk.
A meta-analysis was conducted to rank risk factors associated with POAF based on their respective risk ratios (RRs). Significant risk factors identified from the meta-analyses were incorporated into the model and assigned weights. External validation was performed using a retrospective cohort from China. Receiver operating characteristic (ROC) curves, calibration plots and decision curve analysis (DCA) were employed to assess the model’s predictive performance, calibration and clinical utility.
We screened 40 cohort studies involving 58,899 patients. We developed a risk model that incorporated age ≥ 70 years (RR 2.10, 95% CI 1.34–3.30; p p p p p p p p This model, built with easily accessible clinical variables, could accurately predict the risk of POAF. This holds promise for improving clinical decision making and guiding early interventions.
In a derivation cohort, a meta-analysis screened 40 cohort studies involving 58,899 patients and developed a risk model, incorporated age ≥ 70 years, male sex, COPD, CAD, heart failure, pneumonectomy, lobectomy, and thoracotomy.
The validation cohort from a single centre in China exhibited strong discrimination, achieving an area under the receiver operating characteristic curve of 0.89.
High-risk patients could be easily distinguished using calculated risk scores derived from the predictive model, allowing for dynamic assessment of POAF risk.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.29364531.v1（source: https://tandf.figshare.com/articles/dataset/Development_and_validation_of_a_novel_prediction_model_for_new-onset_atrial_fibrillation_after_lung_resection/29364531）。