COVID-19疫情期间远程医疗对腹膜透析患者代谢控制和住院率影响的数据集

数据集获取（Figshare）

• 源站标题：Impact of telemedicine on metabolic control and hospitalization of peritoneal dialysis patients during the COVID-19 pandemic: a national multicentric cohort study
• DOI：10.6084/m9.figshare.21856158.v1
• 发布日期：2023-01-10
• 文件数：24 个
• 文件总体积：9.93 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Impact_of_telemedicine_on_metabolic_control_and_hospitalization_of_peritoneal_dialysis_patients_during_the_COVID-19_pandemic_a_national_multicentric_cohort_study/21856158

命令行下载

curl -L -o "851ad70afc447e70c55d235e8c0c02690262cda2.tif" "https://ndownloader.figshare.com/files/38781129"
curl -L -o "a9de01ce804545e85e00c41fa81226fbf7c545f6.png" "https://ndownloader.figshare.com/files/38781132"
curl -L -o "d383c49ca28a1cc4a438caa9538f5183cae81567.jpg" "https://ndownloader.figshare.com/files/38781135"
curl -L -o "ec2f047ce55fc1562baf8e85826f457879989840.tif" "https://ndownloader.figshare.com/files/38781138"
curl -L -o "c0f8bdc8765271a403d2eab496653273f0c9c22c.png" "https://ndownloader.figshare.com/files/38781141"
curl -L -o "bb3c66859e8f847643286e1f4c5ecc1a1af14aa3.jpg" "https://ndownloader.figshare.com/files/38781144"
curl -L -o "feb579272f0c4cbbfbb31d24062620fb64c6fe7b.tif" "https://ndownloader.figshare.com/files/38781147"
curl -L -o "669c69eb41b96d96e3d2ee073ffd8fa7502c7384.png" "https://ndownloader.figshare.com/files/38781150"

文件清单

• 851ad70afc447e70c55d235e8c0c02690262cda2.tif（701.85 KB）
• a9de01ce804545e85e00c41fa81226fbf7c545f6.png（507.05 KB）
• d383c49ca28a1cc4a438caa9538f5183cae81567.jpg（7.21 KB）
• ec2f047ce55fc1562baf8e85826f457879989840.tif（676.46 KB）
• c0f8bdc8765271a403d2eab496653273f0c9c22c.png（376.37 KB）
• bb3c66859e8f847643286e1f4c5ecc1a1af14aa3.jpg（7.68 KB）
• feb579272f0c4cbbfbb31d24062620fb64c6fe7b.tif（757.07 KB）
• 669c69eb41b96d96e3d2ee073ffd8fa7502c7384.png（435.83 KB）
• 46c6518ece9f917f454e3331cdcd2c686759844c.jpg（6.25 KB）
• fc58ac1e290e281b4dcfd19c943785e33284455b.tif（405.12 KB）
• dc5a5a35d4cd6f65524dfe2293a30876cfd47fbd.png（311.97 KB）
• 339ca6bbe480c09c74f207126f393e76301e4e56.jpg（3.93 KB）
• 1891b38a2b5579745300657be68ad71c642e978c.tif（938.49 KB）
• a3d83740019a36d0f7170b2a0c2db2218b87e2b6.png（618.26 KB）
• 8e5e0a85d0044767059ac2140411a80bcd7bf2ab.jpg（6.72 KB）
• 9dff57190b1211de11d8aa2d1bf18ce1fea285b4.tif（1.01 MB）
• acd0bdbf585cf7bcb8f6735046fa3fac174a9fd0.png（558.39 KB）
• bd6cfef189197c065eb548feeb099f45034c3368.jpg（7.50 KB）
• b4702c86d9f9b550124f52afa01bd13a61963aef.tif（1.00 MB）
• efcd513b161bd65d001fc9579f105c70021ca535.png（595.46 KB）

文件总体积 9.93 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

Abstract Introduction: The coronavirus-19 pandemic threatens the lives of all people, but results in higher mortality rates for patients with end-stage kidney disease (ESKD) including those on peritoneal dialysis (PD). Telemedicine was the main alternative to reduce exposure to the virus, but it was introduced in the Brazil without proper training. Objective: To investigate the impact of telemedicine on metabolic control, peritonitis rates, and hospitalization in PD patients during the pandemic. Methods: This was a retrospective multicenter cohort study. We included all adult patients on chronic PD from 9 clinics selected by convenience during the pandemic. The outcomes of interest were measured and compared between before and after switching to telemedicine using repeated measure analysis and multilevel Poisson regression. Results: The study included 747 patients with a mean age of 59.7±16.6 years, of whom 53.7% were male and 40.8% had diabetes. Biochemical parameters including hemoglobin, potassium, phosphate, calcium, and urea serum levels did not change significantly after transition to telemedicine. There was no association between telemedicine and peritonitis rates. In contrast, hospitalization rates increased significantly in the telemedicine period. The incidence rate ratio (IRR) for hospitalization in the telemedicine period was 1.54 (95%CI 1.10-2.17; p 0.012) and 1.57 (95%CI 1.12-2.21; p 0.009) in the mixed-effects Poisson regression before and after adjustment for the presence of confounders. Admissions for hypervolemia and infections not related to PD doubled after transition to telemedicine. Conclusion: The implementation of telemedicine without proper training may lead to an increase in adverse events in PD patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.21856158.v1（source: https://scielo.figshare.com/articles/dataset/Impact_of_telemedicine_on_metabolic_control_and_hospitalization_of_peritoneal_dialysis_patients_during_the_COVID-19_pandemic_a_national_multicentric_cohort_study/21856158）。