巴西一家三级医疗中心老年住院患者抗癫痫药物处方模式趋势

数据集获取（Figshare）

• 源站标题：Trends in prescribing patterns of antiepileptic drugs among older adult inpatients in a Brazilian tertiary center
• DOI：10.6084/m9.figshare.14275977.v1
• 发布日期：2021-03-24
• 文件数：5 个
• 文件总体积：77.39 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Trends_in_prescribing_patterns_of_antiepileptic_drugs_among_older_adult_inpatients_in_a_Brazilian_tertiary_center/14275977

命令行下载

curl -L -o "1678-4227-anp-79-01-22-gf1.png" "https://ndownloader.figshare.com/files/27083895"
curl -L -o "1678-4227-anp-79-01-22-gf2.png" "https://ndownloader.figshare.com/files/27083901"
curl -L -o "1678-4227-anp-79-01-22-gf3.png" "https://ndownloader.figshare.com/files/27083904"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27083907"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27083910"

文件清单

• 1678-4227-anp-79-01-22-gf1.png（18.65 KB）
• 1678-4227-anp-79-01-22-gf2.png（14.22 KB）
• 1678-4227-anp-79-01-22-gf3.png（33.26 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）

文件总体积 77.39 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 Background: Data on prescribing patterns of antiepileptic drugs (AEDs) to older adult inpatients are limited. Objective: To assess changes in prescribing patterns of AEDs to older adult inpatients with late-onset epilepsy between 2009-2010 and 2015-2019, and to interpret any unexpected patterns over the 2015-2019 period. Methods: Patients aged ≥60 years with late-onset epilepsy from a tertiary center were selected. Demographic data, seizure characteristics and etiology, comorbidities, and comedications were analyzed, in addition to prescription regimens of inpatients taking AEDs to treat epilepsy. AED regimens were categorized into two groups: group 1 included appropriate AEDs (carbamazepine, oxcarbazepine, valproic acid, gabapentin, clobazam, lamotrigine, levetiracetam, topiramate, and lacosamide); and group 2 comprised suboptimal AEDs (phenytoin and phenobarbital). Multivariate logistic regression analysis was performed to identify risk factors for prescription of suboptimal AEDs. Results: 134 patients were included in the study (mean age: 77.2±9.6 years). A significant reduction in the prescription of suboptimal AEDs (from 73.3 to 51.5%; p<0.001) was found; however, phenytoin remained the most commonly prescribed AED to older adult inpatients. We also found an increase in the prescription of lamotrigine (from 5.5 to 33.6%) and levetiracetam (from 0 to 29.1%) over time. Convulsive status epilepticus (SE) and acute symptomatic seizures associated with remote and progressive etiologies were risk factors for the prescription of suboptimal AEDs. Conclusions: Phenytoin was the main suboptimal AED prescribed in our population, and convulsive SE and acute symptomatic seizures associated with some etiologies were independent risk factors for phenytoin prescription. These results suggest ongoing commitment to reducing the prescription of suboptimal AEDs, particularly phenytoin in Brazilian emergence rooms.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14275977.v1（source: https://scielo.figshare.com/articles/dataset/Trends_in_prescribing_patterns_of_antiepileptic_drugs_among_older_adult_inpatients_in_a_Brazilian_tertiary_center/14275977）。