囊状支气管扩张术后咯血复发预测列线图表1

数据集获取（Figshare）

• 源站标题：Table 1_Development and validation of a nomogram for predicting hemoptysis recurrence in cystic bronchiectasis patients following bronchial artery embolization.docx
• DOI：10.3389/fmed.2025.1582008.s001
• 发布日期：2025-05-15
• 文件数：1 个
• 文件总体积：290.60 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Development_and_validation_of_a_nomogram_for_predicting_hemoptysis_recurrence_in_cystic_bronchiectasis_patients_following_bronchial_artery_embolization_docx/29068376

命令行下载

curl -L -o "Table 1_Development and validation of a nomogram for predicting hemoptysis recurrence in cystic bronchiectasis patients following bronchial artery emb.docx" "https://ndownloader.figshare.com/files/54549545"

文件清单

• Table 1_Development and validation of a nomogram for predicting hemoptysis recurrence in cystic bronchiectasis patients following bronchial artery emb.docx（290.60 KB）

文件总体积 290.60 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

BackgroundHemoptysis is a life-threatening manifestation frequently observed in patients with cystic bronchiectasis (CB), a radiologically defined subtype of bronchiectasis. Bronchial artery embolization (BAE) is widely employed as an effective interventional therapy for controlling hemoptysis. Despite its clinical utility, the risk of recurrence remains high, particularly in patients with CB. Currently, no reliable predictive model specifically targeting CB-related hemoptysis recurrence following BAE has been established, highlighting the need for a tailored prognostic tool in this population.
ObjectiveThis study aimed to develop and validate a model to predict the recurrence of hemoptysis in CB patients following BAE, enabling individualized clinical management and prevention strategies.
MethodsA retrospective study was conducted on 111 CB patients who underwent BAE between January 2015 and June 2020. Clinical, radiological, and laboratory data were collected for analysis. Least absolute shrinkage and selection operator (LASSO) regression was applied to identify relevant predictive variables, followed by multivariable Cox proportional hazards regression to determine independent prognostic factors. Based on these predictors, a nomogram was constructed. Its performance was assessed using the concordance index (C-index), receiver operating characteristic (ROC) curves, area under the curve (AUC), calibration plots, and decision curve analysis (DCA).
ResultsFive independent predictors were identified: history of hemoptysis (HR = 3.42, 95% CI: 1.64–7.12, p = 0.001), diabetes (HR = 15.0, 95% CI: 4.69–48.1, p The nomogram is a reliable tool for predicting hemoptysis recurrence in CB patients after BAE. It facilitates early identification of high-risk patients, enabling timely, targeted interventions and improved outcomes.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmed.2025.1582008.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Development_and_validation_of_a_nomogram_for_predicting_hemoptysis_recurrence_in_cystic_bronchiectasis_patients_following_bronchial_artery_embolization_docx/29068376）。