儿科肺加重简化治疗

该数据集来自 clinicaltrials.gov,聚焦囊性纤维化(CF)患儿轻度肺部加重(PEx)的治疗策略。STOP PEDS 先导研究显示随机试验可行,且个体化治疗组可能减少抗生素暴露

University of Washington, the Collaborative Health Studies Coordinating CenterUniversity of Washington, the Collaborative Health Studies Coordinating Center
clinicaltrials
浏览 5
其他分类Cystic Fibrosis
Streamlined Treatment of Pulmonary Exacerbations in Pediatrics

基本信息

模态
其他
任务类型
分类
创建/更新时间
2026-10-12

资源简介

儿科肺加重简化治疗

该数据集来自 clinicaltrials.gov,聚焦囊性纤维化(CF)患儿轻度肺部加重(PEx)的治疗策略。STOP PEDS 先导研究显示随机试验可行,且个体化治疗组可能减少抗生素暴露。基于此,STOP PEDS RCT 为多中心、平行、开放标签随机对照试验,评估立即抗生素与个体化治疗两种策略在儿科 CF 门诊 PEx 管理中的长期(一年)和短期安全性与有效性。两臂均需在合格 PEx 发生时加强气道清除,立即抗生素臂另接受 14 天抗生素。数据可用于比较治疗策略、评估抗生素暴露与结局(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:囊性纤维化。STOP PEDS 先导研究表明,针对 CF 患儿轻度肺部加重(PEx)治疗策略的随机试验是可行的,并且分配到个体化治疗组(定义见下)可能减少抗生素暴露。基于 CF 家庭和临床医生确定的研究重点以及先导研究的结果,STOP PEDS RCT 是一项多中心、平行、开放标签随机对照试验,评估两种抗生素治疗策略在儿科 CF 人群门诊 PEx 管理中的长期(一年)和短期安全性与有效性。两个治疗组为立即抗生素和个体化治疗。在两组中,参与者将被指导在符合条件的 PEx 发生时加强气道清除。在立即抗生素组中,他们还将开始 14 天的

【主题与分类】

主题标签:Cystic Fibrosis。本站分类:呼吸系统疾病。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT06654752

官方服务

专家保障全链路合规授权与标注交付

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取

源站:https://clinicaltrials.gov/study/NCT06654752

标准获取流程:

  1. 访问源站链接,注册/登录账号;
  2. 进入数据集详情页,按页面指引申请权限或直接下载;
  3. 部分平台提供 SDK,例如:
    • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
    • ModelScope: pip install modelscope 后 modelscope download
    • 天池: 登录后页面提供直链下载
      以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Cystic Fibrosis. The STOP PEDS pilot study demonstrated that a randomized trial of treatment strategies for mild pulmonary exacerbations (PEx) in children with CF was feasible and that assignment to a tailored therapy arm (defined below) may reduce antibiotic exposure. Based on the research priorities identified by CF families and clinicians and the results of the pilot study, the STOP PEDS RCT is a multicenter, parallel, open label randomized controlled trial evaluating the long-term (one year) and short-term safety and efficacy of two antibiotic treatment strategies for the management of outpatient PEx in the pediatric CF population. The two treatment arms are immediate antibiotics and tailored therapy. In both arms, participants will be instructed to increase airway clearance at the onset of an eligible PEx. In the immediate antibiotics arm, they will also begin 14 days of oral antibiotics preselected by their primary CF providers, while in the tailored therapy they will only begin antibiotics if prespecified criteria for worsening symptoms or failure to improve are met. The STOP PEDS study will enroll three cohorts. In the main cohort, children ages 6-18 on highly effective modulator therapy (HEMT) will be enrolled when well and followed for 12 months. Participants will be randomly assigned to a treatment arm and maintain that treatment assignment for all subsequent eligible PEx during their 12-month enrollment period. Two additional pilot cohorts, the preschool cohort (children ages 3 to 5 on HEMT) and the non-HEMT cohort (children ages 6-18 not eligible for HEMT), will be enrolled in parallel pilot studies. Participants will enroll when well and be followed through one randomized PEx. Participants in the STOP PEDS RCT at selected sites will have the opportunity to enroll in optional substudies if eligible. These substudies include: * Clinic throat swab substudy * Home throat and nasal swab substudy * Remote monitoring substudy (Home monitoring of lung function, vital signs, ac

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。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

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