囊性纤维化患者接受Elexacaftor/Tezacaftor/Ivacaftor (ETI)治疗时抗生素的药代动力学

数据集获取

源站：https://clinicaltrials.gov/study/NCT07629986

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 (CF), Pulmonary Exacerbation, Respiratory Infection Bacterial. Patients with cystic fibrosis experience substantial physiological changes that affect the pharmacokinetics of medications, including antibiotics. Altered gastrointestinal absorption, increased volume of distribution, enhanced renal clearance, chronic systemic inflammation, and modified protein binding have historically led to recommendations for increased antibiotic dosing in CF patients. Additionally, thick airway mucus, biofilm formation, high bacterial inoculum, and chronic airway infection contribute to altered antibiotic pharmacodynamics and reduced antibiotic efficacy. Highly effective CFTR modulators, particularly elexacaftor/tezacaftor/ivacaftor (ETI), have profoundly changed the clinical course of cystic fibrosis by improving lung function, reducing pulmonary exacerbations, improving nutritional status, and modifying airway microbiology. These changes may normalize or partially normalize antibiotic pharmacokinetics and pharmacodynamics. However, evidence regarding the impact of ETI therapy on antibiotic pharmacokinetics remains extremely limited. To date, only one retrospective pediatric study has evaluated the effect of CFTR modulators on intravenous tobramycin pharmacokinetics during pulmonary exacerbations. The PKCF study aims to prospectively evaluate plasma antibiotic concentrations and pharmacokinetic parameters in CF patients receiving ETI during pulmonary exacerbations requiring antibiotic therapy. Antibiotic concentrations will be compared with established PK/PD targets according to current national recommendations. The study may contribute to future optimization of antibiotic dosing strategies in patients with CF treated with ETI, while minimizing toxicity and supporting antimicrobial stewardship.

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。