三级中心老年癫痫患者住院时间延长预测因素前瞻性研究数据集

数据集获取（Figshare）

• 源站标题：Predictors of long length of hospital stay among elders admitted with seizures in a tertiary centre: a prospective study
• DOI：10.6084/m9.figshare.14275932.v1
• 发布日期：2021-03-24
• 文件数：8 个
• 文件总体积：96.11 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Predictors_of_long_length_of_hospital_stay_among_elders_admitted_with_seizures_in_a_tertiary_centre_a_prospective_study/14275932

命令行下载

curl -L -o "91815a4022ca2bfa2f163fc255aaa6d2783c2290.png" "https://ndownloader.figshare.com/files/40249227"
curl -L -o "ed537e500c31843e84426bf3577bfeac728b4edf.jpg" "https://ndownloader.figshare.com/files/40249230"
curl -L -o "3463a9c942b6f561023f2fee5e0d5bebdef72de6.png" "https://ndownloader.figshare.com/files/40249233"
curl -L -o "f08e936d17148fb4b9cfd100be1652677d73c04d.jpg" "https://ndownloader.figshare.com/files/40249236"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/40249239"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27083745"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/27083751"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/27083754"

文件清单

• 91815a4022ca2bfa2f163fc255aaa6d2783c2290.png（40.69 KB）
• ed537e500c31843e84426bf3577bfeac728b4edf.jpg（4.57 KB）
• 3463a9c942b6f561023f2fee5e0d5bebdef72de6.png（20.49 KB）
• f08e936d17148fb4b9cfd100be1652677d73c04d.jpg（3.73 KB）
• Table_1.xls（9.73 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（5.63 KB）

文件总体积 96.11 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

ABSTRACT Population ageing is a global phenomenon, and life expectancy in Brazil is growing fast. Epilepsy is the third most important chronic neurological disorder, and its incidence is higher among elderly patients than in any other segment of the population. The prevalence of epilepsy is greater among inpatients than in the general population and it is related to long length of hospital stay (LOS), which is associated with hospital mortality and higher healthcare costs. Despite these facts, reports of elderly inpatients admitted with seizures and associated outcomes are scarce. Objective: To identify predictors of long LOS among elderly inpatients admitted with seizures. Methods: We prospectively enrolled elders admitted with epileptic seizures or who experienced seizures throughout hospitalization between November 2015 and August 2019. We analysed demographic data, neurological disorders, clinical comorbidities, and seizure features to identify risk factors. Results: The median LOS was 11 days, with an interquartile range (IQR) of 5-21 days. The frequency of long LOS (defined as a period of hospitalization ≥12 days) was 47%. Multivariate analysis showed there was an exponential increase in long LOS if a patient showed any of the following conditions: intensive care unit (ICU) admission (OR=4.562), urinary tract infection (OR=3.402), movement disorder (OR=5.656), early seizure recurrence (OR=2.090), and sepsis (OR=4.014). Conclusion: Long LOS was common among elderly patients admitted with seizures, and most predictors of long LOS found in this cohort might be avoidable; these findings should be confirmed with further research.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14275932.v1（source: https://scielo.figshare.com/articles/dataset/Predictors_of_long_length_of_hospital_stay_among_elders_admitted_with_seizures_in_a_tertiary_centre_a_prospective_study/14275932）。