急性缺血性卒中院间转诊的时间趋势和资源利用：一项全国性回顾性队列研究数据集

数据集获取（Figshare）

• 源站标题：Temporal trends and resource utilization of inter-hospital transfers in acute ischemic stroke: a nationwide retrospective cohort study
• DOI：10.6084/m9.figshare.30578948.v1
• 发布日期：2025-11-10
• 文件数：2 个
• 文件总体积：721.15 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Temporal_trends_and_resource_utilization_of_inter-hospital_transfers_in_acute_ischemic_stroke_a_nationwide_retrospective_cohort_study/30578948

命令行下载

curl -L -o "yner_a_2586642_sm0687.docx" "https://ndownloader.figshare.com/files/59430017"
curl -L -o "yner_a_2586642_sm0686.docx" "https://ndownloader.figshare.com/files/59430020"

文件清单

• yner_a_2586642_sm0687.docx（35.31 KB）
• yner_a_2586642_sm0686.docx（685.84 KB）

文件总体积 721.15 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

This study investigates temporal trends and resource utilization associated with inter-hospital transfers (IHT) among patients with acute ischemic stroke (AIS).
In this retrospective cohort study, the National Inpatient Sample database was analyzed for patients admitted with AIS (2012-2022). Data collected included demographics, socioeconomic status, comorbidities, hospital characteristics (location and U.S. region), length of stay (LOS), and discharge disposition. Patients were categorized as either direct admissions (DA) or inter-hospital transfers (IHT). Propensity-score matching (PSM) was applied to balance comorbidities and severity between the two groups. Primary outcomes included LOS, hospitalization costs, and discharge to home or inpatient rehab. Multivariable logistic regression models were built to assess associations between IHT and each outcome.
Among 1,610,674 AIS admissions, 173,522 (10.8%) involved IHT. Compared to the DA group, IHT patients were younger (68 [58–78] vs. 72 [62–82] years), more frequently male (53.5% vs. 50.0%), White (70.6% vs. 67.9%), and more likely to have private insurance (21.4% vs. 17.5%), p p p p Inter-hospital transfers among AIS patients have increased significantly over the past decade, predominantly involving transfers to teaching hospitals. IHT facilitates access to advanced stroke care for more complex and severe AIS patients, as reflected by greater resource utilization.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.30578948.v1（source: https://tandf.figshare.com/articles/dataset/Temporal_trends_and_resource_utilization_of_inter-hospital_transfers_in_acute_ischemic_stroke_a_nationwide_retrospective_cohort_study/30578948）。