成人自闭症谱系障碍合并智力障碍共病负担表1（EFAAR研究）

数据集获取（Figshare）

• 源站标题：Table_1_Comorbidity Burden in Adults With Autism Spectrum Disorders and Intellectual Disabilities—A Report From the EFAAR (Frailty Assessment in Ageing Adults With Autism Spectrum and Intellectual Disabilities) Study.docx
• DOI：10.3389/fpsyt.2019.00617.s001
• 发布日期：2019-09-19
• 文件数：1 个
• 文件总体积：17.46 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Comorbidity_Burden_in_Adults_With_Autism_Spectrum_Disorders_and_Intellectual_Disabilities_A_Report_From_the_EFAAR_Frailty_Assessment_in_Ageing_Adults_With_Autism_Spectrum_and_Intellectual_Disabilities_Study_docx/9879110

命令行下载

curl -L -o "Table_1_Comorbidity Burden in Adults With Autism Spectrum Disorders and Intellectual Disabilities—A Report From the EFAAR (Frailty Assessment in Agein.docx" "https://ndownloader.figshare.com/files/17722532"

文件清单

• Table_1_Comorbidity Burden in Adults With Autism Spectrum Disorders and Intellectual Disabilities—A Report From the EFAAR (Frailty Assessment in Agein.docx（17.46 KB）

文件总体积 17.46 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

Background: Autism spectrum disorder (ASD) is an early-onset and lifelong neurodevelopmental condition frequently associated with intellectual disability (ID). Although emerging studies suggest that ASD is associated with premature ageing and various medical comorbidities, as described for ID, data are scarce.
Objectives: To determine the comorbidity burden and its association with distinct clinical presentation in terms of ASD severity, adaptive skills, level of autonomy, and drug exposure in a well-phenotyped sample of individuals with ASD-ID—the EFAAR (Frailty Assessment in Ageing Adults with Autism Spectrum and Intellectual Disabilities) cohort.
Methods: A total of 63 adults with ASD-ID, with a mean age of 42.9 ± 15.1 years, were recruited from 2015 to 2017 from nine specialized institutions. They underwent detailed clinical examinations, including screening for comorbidities, ASD severity [Childhood Autism Rating Scale (CARS)], adaptive functioning [Vineland Adaptive Behavior Scale II (VABS-II)], autonomy [activities of daily living (ADLs)], and drug use [polypharmacy and the Drug Burden Index (DBI)]. The comorbidity burden was evaluated using the Cumulative Illness Rating Scale (CIRS-G) and its sub-scores [the severity index (CIRS-SI) and severe comorbidity (CIRS-SC)].
Results: We found a large range of comorbidities, including gastrointestinal disorders and mental and neurological diseases. Overall, 25% of our ASD-ID sample had chronic kidney disease with the associated increased cardiovascular risk factors. The comorbidity burden was high (mean CIRS-G total score of 10.6 ± 4.8), comparable with that observed among patients older than those in our population hospitalized in geriatric departments. Furthermore, the comorbidity burden positively correlated with age, decreased autonomy, and polypharmacy.
Conclusion: The severity of the comorbidity burden associated with premature ageing in adults with ASD and ID highlight their crucial need of personalized medical care.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpsyt.2019.00617.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Comorbidity_Burden_in_Adults_With_Autism_Spectrum_Disorders_and_Intellectual_Disabilities_A_Report_From_the_EFAAR_Frailty_Assessment_in_Ageing_Adults_With_Autism_Spectrum_and_Intellectual_Disabilities_Study_docx/9879110）。