老年2型糖尿病患者合并症的数据表1：高成本患者特征与医疗资源利用识别

数据集获取（Figshare）

• 源站标题：datasheet1_Comorbidity in an Older Population with Type-2 Diabetes Mellitus: Identification of the Characteristics and Healthcare Utilization of High-Cost Patients.docx
• DOI：10.3389/fphar.2020.586187.s001
• 发布日期：2020-11-30
• 文件数：1 个
• 文件总体积：685.59 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/datasheet1_Comorbidity_in_an_Older_Population_with_Type-2_Diabetes_Mellitus_Identification_of_the_Characteristics_and_Healthcare_Utilization_of_High-Cost_Patients_docx/13301060

命令行下载

curl -L -o "datasheet1_Comorbidity in an Older Population with Type-2 Diabetes Mellitus: Identification of the Characteristics and Healthcare Utilization of High-.docx" "https://ndownloader.figshare.com/files/25628600"

文件清单

• datasheet1_Comorbidity in an Older Population with Type-2 Diabetes Mellitus: Identification of the Characteristics and Healthcare Utilization of High-.docx（685.59 KB）

文件总体积 685.59 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

Objectives: Little is known about the specific comorbidities contributing to higher costs in patients with type-2 diabetes mellitus (T2DM), particularly in older cases. We aimed to evaluate the prevalence, type, and cost of comorbidities occurring in older T2DM patients versus older non-T2DM patients, and the factors associated with high cost (HC) T2DM patients.
Methods: Retrospective cohort study using information from the Campania Region healthcare database. People aged ≥65 years who received ≥2 prescriptions for antidiabetic drugs were identified as “T2DM patients.” Comorbidities among T2DM and non-T2DM groups were assessed through the RxRiskV Index (modified version). T2DM individuals were classified according to the total cost distribution as HC or “non-high cost.” Two sub-cohorts of HC T2DM patients were assessed: above 90th and 80th percentile of the total cost. Age- and sex-adjusted logistic regression models were created.
Results: Among the T2DM cohort, concordant and discordant comorbidities occurred significantly more frequently than in the non-T2DM cohort. Total mean annual cost per T2DM patient due to comorbidities was €7,627 versus €4,401 per non-T2DM patient. Among T2DM patients identified as being above 90th and 80th percentiles of cost distribution, the total annual costs were >€19,577 and >€2,563, respectively. The hospitalization cost was higher for T2DM cases. Strongest predictors of being a HC T2DM patient were having ≥5 comorbidities and renal impairment.
Conclusion: HC patients accrued >80% of the total comorbidities cost in older T2DM patients. Integrated care models, with holistic and patient-tailored foci, could achieve more effective T2DM care.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fphar.2020.586187.s001（source: https://frontiersin.figshare.com/articles/dataset/datasheet1_Comorbidity_in_an_Older_Population_with_Type-2_Diabetes_Mellitus_Identification_of_the_Characteristics_and_Healthcare_Utilization_of_High-Cost_Patients_docx/13301060）。