急性冠脉综合征、房颤和充血性心力衰竭患者早期（0-7天）和晚期（8-30天）再入院预测因素

数据集获取（Figshare）

• 源站标题：Early (0-7 day) and late (8-30 day) readmission predictors in acute coronary syndrome, atrial fibrillation, and congestive heart failure patients
• DOI：10.6084/m9.figshare.16610003.v2
• 发布日期：2021-12-20
• 文件数：3 个
• 文件总体积：100.37 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Early_0-7_day_and_late_8-30_day_readmission_predictors_in_acute_coronary_syndrome_atrial_fibrillation_and_congestive_heart_failure_patients/16610003

命令行下载

curl -L -o "suppl_table_1.docx" "https://ndownloader.figshare.com/files/31947919"
curl -L -o "suppl_table_2.docx" "https://ndownloader.figshare.com/files/31947922"
curl -L -o "suppl_table_3.docx" "https://ndownloader.figshare.com/files/31947925"

文件清单

• suppl_table_1.docx（40.23 KB）
• suppl_table_2.docx（29.70 KB）
• suppl_table_3.docx（30.43 KB）

文件总体积 100.37 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

Thirty-day readmission following hospitalization for acute coronary syndrome (ACS), atrial fibrillation (AF), or congestive heart failure (CHF) is common, and many occur within one week of discharge. Using a cohort of patients hospitalized for ACS, AF, or CHF, we sought to identify predictors of 30-day, early (0–7 day), and late (8–30 day) all-cause readmission.
We identified 3531 hospitalizations for ACS, AF, or CHF at a large academic medical center between 2008 and 2018. Multivariable logistic regression models were created to identify predictors of 30-day, early, and late unplanned, all-cause readmission, adjusting for discharge diagnosis and other demographics and comorbidities.
Of 3531 patients hospitalized for ACS, AF, or CHF, 700 (19.8%) were readmitted within 30 days, and 205 (29.3%) readmissions were early. Of all 30-day readmissions, 34.8% of ACS, 16.8% of AF, and 26.0% of the CHF cohorts’ readmissions occurred early. Higher hemoglobin was associated with lower 30-day readmission [adjusted (adj) OR 0.92, 95% CI 0.88–0.97] while patients requiring intensive care unit (ICU) admission were more likely readmitted within 30 days (adj OR 1.31, 95% CI 1.03–1.67). Among patients with a 30-day readmission, females (adj OR 1.73, 95% CI 1.22, 2.47) and patients requiring ICU admission (adj OR 2.03, 95% CI 1.27, 3.26) were more likely readmitted early than late. Readmission predictors did not vary substantively by discharge diagnosis.
Patients admitted to the ICU were more likely readmitted in the early and 30-day periods. Other predictors varied between readmission groups. Since outpatient follow-up often occurs beyond 1 week of discharge, early readmission predictors can help healthcare providers identify patients who may benefit from particular post-discharge services.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.16610003.v2（source: https://tandf.figshare.com/articles/dataset/Early_0-7_day_and_late_8-30_day_readmission_predictors_in_acute_coronary_syndrome_atrial_fibrillation_and_congestive_heart_failure_patients/16610003）。