HERO-2:CFTR调节剂治疗的家庭报告结局

HERO-2是一项前瞻性观察性队列研究,聚焦囊性纤维化患者在接受elexacaftor/tezacaftor/ivacaftor(ETI)治疗后调整治疗方案对肺功能的影响

Indiana UniversityIndiana University
clinicaltrials
浏览 12
文本预测Cystic Fibrosis
HERO-2: Home-Reported Outcomes With CFTR Modulator Therapy

基本信息

模态
文本
任务类型
预测
创建/更新时间
2026-10-12

资源简介

HERO-2:CFTR调节剂治疗的家庭报告结局

HERO-2是一项前瞻性观察性队列研究,聚焦囊性纤维化患者在接受elexacaftor/tezacaftor/ivacaftor(ETI)治疗后调整治疗方案对肺功能的影响。数据来自Folia Health及囊性纤维化基金会患者登记库(CFFPR),参与者通过Folia应用中的HERO-2研究仪表盘参与。计划入组860名服用ETI的个体,研究周期12个月,期间要求参与者追踪常规治疗与用药、每日症状,并每月完成经验证的CF患者报告结局问卷。该数据可用于分析治疗变化与肺功能、症状及患者报告结局之间的关联(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。本研究将是一项前瞻性、观察性队列研究,旨在调查在开始使用elexacaftor/tezacaftor/ivacaftor(ETI)治疗后发生治疗改变的个体中肺功能的变化。数据将从Folia Health以及囊性纤维化基金会患者登记库(CFFPR)中收集已注册参与者的数据。研究参与将通过Folia应用程序进行,研究参与者将被引导至特定的HERO-2研究仪表盘。服用ETI的个体(n=860)可在参与站点、通过社交媒体招募或从Folia Health的现有用户中入组。在12个月的研究期间,参与者将被要求追踪其常规治疗和药物使用、每日症状,并每月使用经验证的CF患者报告结局(PRO)问卷进行审查。

【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/NCT04798014

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/NCT04798014

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. This study will be a prospective, observational cohort study to investigate the changes in lung function among individuals who have made treatment changes after initiating treatment with elexacaftor/tezacaftor/ivacaftor (ETI). Data will be collected from Folia Health, and the Cystic Fibrosis Foundation Patient Registry (CFFPR) for participants who are registered. Participation in the study will occur through the Folia application where study participants will be directed to a specific HERO-2 study dashboard. Individuals (n=860) taking ETI may be enrolled at participating sites, through social media recruitment or from existing users of Folia Health. During the 12-month study period, participants will be asked to track their routine treatment and medication usage, daily symptoms, and monthly review with validated CF patient-reported outcome (PRO) questionnaires. Participants will also be asked to self-report instances of changes to their treatment plan, and pulmonary exacerbations. Data collected within Folia will be linked to the CFFPR for individual outcomes with regards to clinical data including anthropometric measures, lung function, complications, and IV-treated pulmonary exacerbations. This study will not provide or recommend any treatment recommendations. All direction for medication usage is solely at the discretion of the patient’s physician in accordance with their usual practice. The primary objective for the study will be to evaluate changes in lung function as measured by forced expiratory volume over one second (FEV1) percent predicted in individuals who report making at least one change to chronic daily respiratory therapies upon study entry and during the 12 month follow up compared to those who do not make changes to chronic daily therapies. Secondary endpoints will include a measurement of the proportion of individuals making changes to chronic daily therapy, the need to resume chronic daily therapy, health-related quality of life, symptom severity

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)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。