数据表1：可穿戴设备检测心力衰竭患者肺充血的疗效：系统评价和荟萃分析

数据集获取（Figshare）

• 源站标题：Data Sheet 1_Efficacy of wearable devices detecting pulmonary congestion in heart failure: a systematic review and meta-analysis.docx
• DOI：10.3389/fcvm.2025.1612545.s001
• 发布日期：2025-08-11
• 文件数：1 个
• 文件总体积：275.09 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Efficacy_of_wearable_devices_detecting_pulmonary_congestion_in_heart_failure_a_systematic_review_and_meta-analysis_docx/29879279

命令行下载

curl -L -o "Data Sheet 1_Efficacy of wearable devices detecting pulmonary congestion in heart failure: a systematic review and meta-analysis.docx" "https://ndownloader.figshare.com/files/57083444"

文件清单

• Data Sheet 1_Efficacy of wearable devices detecting pulmonary congestion in heart failure: a systematic review and meta-analysis.docx（275.09 KB）

文件总体积 275.09 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

IntroductionHeart failure (HF) hospitalizations are prognostically significant. Implantable hemodynamic monitors detect early congestion but are invasive and costly, with no clear mortality benefit. Wearable devices offer a non-invasive alternative for monitoring congestion. This meta-analysis examines the efficacy of wearable devices in reducing HF hospitalizations and mortality compared to standard care.
MethodsA systematic review and meta-analysis were conducted following PRISMA guidelines. PubMed, EMBASE, MEDLINE, and Cochrane databases were searched for trials comparing wearable device-guided care with standard HF treatment. Outcomes included hospitalisation for HF, worsening HF events (hospitalisation or emergency department visit for HF) and all-cause mortality. Total (first and recurrent) event meta-analyses were performed using random effect models.
ResultsFour studies met inclusion criteria, including 958 patients who were enrolled either at the time of or within 10 days of discharge from a hospitalization for HF. Wearable device-guided care resulted in a 41% reduction in hospitalisations for HF (RR: 0.59, 95% CI: 0.41–0.87, p = 0.007) and a 40% reduction in HF events (RR: 0.60, 95% CI: 0.42–0.86, p = 0.005) compared to standard care. All-cause mortality was reduced by 26% in the wearable monitoring arm (RR: 0.74, 95% CI: 0.55–0.99, p = 0.04). The composite outcome of HF hospitalization and mortality was 37% lower with wearable monitoring (RR: 0.63, 95% CI: 0.44–0.91, p = 0.04). Treatment for HF, guided by wearable devices that measure pulmonary congestion, reduced hospitalisations for HF and all-cause mortality in recently hospitalised patients.
ConclusionWearable devices are a promising non-invasive strategy for managing high-risk patients, particularly when transitioning care from acute to community settings…
Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/view/CRD42024607770, identifier PROSPERO CRD42024607770.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcvm.2025.1612545.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Efficacy_of_wearable_devices_detecting_pulmonary_congestion_in_heart_failure_a_systematic_review_and_meta-analysis_docx/29879279）。