A1CNow+糖化血红蛋白床旁检测准确性研究

数据集获取（Figshare）

• 源站标题：Assessment of a glycated hemoglobin point-of-care analyzer (A1CNow+) in comparison with an immunoturbidimetric method: a diagnostic accuracy study
• DOI：10.6084/m9.figshare.20006998.v1
• 发布日期：2022-06-06
• 文件数：2 个
• 文件总体积：158.16 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Assessment_of_a_glycated_hemoglobin_point-of-care_analyzer_A1CNow_in_comparison_with_an_immunoturbidimetric_method_a_diagnostic_accuracy_study/20006998

命令行下载

curl -L -o "830328f9d060aab1bfe4be9cf065be44215983f4.jpg" "https://ndownloader.figshare.com/files/35619679"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35619682"

文件清单

• 830328f9d060aab1bfe4be9cf065be44215983f4.jpg（152.53 KB）
• Table_1.xls（5.63 KB）

文件总体积 158.16 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

CONTEXT AND OBJECTIVE: To monitor glycemic control in diabetic patients, regular measurement of glycated hemoglobin (HbA1c) is recommended, but this can be difficult in remote places without access to laboratories. Portable point-of-care testing devices can prove a useful alternative. Our study aimed to assess the performance of one of them: A1CNow+, from Bayer. DESIGN AND SETTING: Cross-sectional accuracy study conducted at a university hospital in Brazil. METHODS: We made three successive measurements of capillary HbA1c using the A1CNow+ in 55 diabetic volunteers, while the same measurement was made on venous blood using the hospital reference method (Vitros 5,1 FS). We used the Bland-Altman graphical method to assess the A1CNow+ in relation to the Vitros 5,1 FS method. We also evaluated clinical usefulness by calculating the sensitivity and specificity of A1CNow+ for detecting patients with HbA1c lower than 7%, which is the usual limit for good glycemic control. RESULTS: The coefficient of variation between repeat testing for the A1CNow+ was 3.6%. The mean difference between A1CNow+ and Vitros 5,1 FS was +0.67% (95% confidence interval, CI: +0.52 to +0.81). The agreement limits of our Bland-Altman graph were -0.45 (95% CI: -0.71 to -0.19) and +1.82 (95% CI: +1.52 to +2.05). The sensitivity and specificity in relation to the 7% limit were respectively 100% and 67.7%. CONCLUSIONS: Although the A1CNow+ had good sensitivity, its accuracy was insufficient for use as a replacement for laboratory measurements of HbA1c, for glycemic control monitoring in diabetic patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.20006998.v1（source: https://scielo.figshare.com/articles/dataset/Assessment_of_a_glycated_hemoglobin_point-of-care_analyzer_A1CNow_in_comparison_with_an_immunoturbidimetric_method_a_diagnostic_accuracy_study/20006998）。