数据表1：1999–2023年美国操作与设备相关医疗保健相关感染的死亡负担和流行病学：CDC WONDER分析

数据集获取（Figshare）

• 源站标题：Data Sheet 1_Mortality burden and epidemiology of procedure- and device-related healthcare-associated infections in the United States, 1999–2023: a CDC WONDER analysis.pdf
• DOI：10.3389/fpubh.2025.1689828.s001
• 发布日期：2025-11-03
• 文件数：1 个
• 文件总体积：345.77 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Mortality_burden_and_epidemiology_of_procedure-_and_device-related_healthcare-associated_infections_in_the_United_States_1999_2023_a_CDC_WONDER_analysis_pdf/30514682

命令行下载

curl -L -o "Data Sheet 1_Mortality burden and epidemiology of procedure- and device-related healthcare-associated infections in the United States, 1999–2023: a CD.pdf" "https://ndownloader.figshare.com/files/59246435"

文件清单

• Data Sheet 1_Mortality burden and epidemiology of procedure- and device-related healthcare-associated infections in the United States, 1999–2023: a CD.pdf（345.77 KB）

文件总体积 345.77 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

BackgroundProcedure- and device-related healthcare-associated infections (PD-HAIs) are a major cause of preventable hospital mortality, yet population-level data on long-term trends remain limited. This study aims to evaluate national PD-HAI mortality trends and subgroup disparities in the United States from 1999 to 2023.
MethodsThis descriptive study analyzed PD-HAI-related mortality in the United States from 1999 to 2023 using the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER) Multiple Cause of Death database. Deaths involving PD-HAIs were identified using ICD-10 codes. Age-adjusted mortality rates (AAMRs) were calculated per 100,000 population using the 2000 U.S. standard population. Temporal trends were assessed using Joinpoint regression to estimate annual percent changes (APCs) and average annual percent changes (AAPCs) with 95% confidence intervals (CIs). Analyses were stratified by age, sex, race, region, urbanization, and state.
ResultsFrom 1999 to 2023, PD-HAI-related mortality declined markedly nationwide, with AAMRs falling from 1.62 to 0.77 per 100,000 and an overall AAPC of −3.02% (p Despite national declines in PD-HAI mortality, trends have been less consistent since 2014, and significant geographic and demographic disparities persist. Sustained, state-tailored infection-prevention efforts—prioritizing jurisdictions with little or no progress—are needed as a matter of health equity to further reduce preventable deaths.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2025.1689828.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Mortality_burden_and_epidemiology_of_procedure-_and_device-related_healthcare-associated_infections_in_the_United_States_1999_2023_a_CDC_WONDER_analysis_pdf/30514682）。