在尼日利亚镰状细胞病患儿中识别中风：低收入环境医疗专业人员培训课程数据集

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_Identifying strokes in Nigerian children with sickle cell disease as part of clinical trials: training curriculum for healthcare professionals in low-income settings.PDF
• DOI：10.3389/fstro.2024.1444718.s001
• 发布日期：2025-01-06
• 文件数：1 个
• 文件总体积：5.71 MB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Identifying_strokes_in_Nigerian_children_with_sickle_cell_disease_as_part_of_clinical_trials_training_curriculum_for_healthcare_professionals_in_low-income_settings_PDF/28139690

命令行下载

curl -L -o "Data_Sheet_1_Identifying strokes in Nigerian children with sickle cell disease as part of clinical trials: training curriculum for healthcare professi.PDF" "https://ndownloader.figshare.com/files/51490655"

文件清单

• Data_Sheet_1_Identifying strokes in Nigerian children with sickle cell disease as part of clinical trials: training curriculum for healthcare professi.PDF（5.71 MB）

文件总体积 5.71 MB（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

IntroductionNigeria has the highest proportion of children with sickle cell anemia (SCA) globally; without transcranial Doppler screening and ongoing treatment (regular blood transfusions or hydroxyurea therapy), 10% will have a stroke in childhood. In low-resource settings, training to recognize and prevent strokes in children with SCA is vital. A sustainable Sickle Cell Disease Stroke Prevention Teams program was established, as part of clinical trials, to address the need for stroke care in northern Nigeria. We describe our health professional stroke training curriculum and specific application to detect strokes in clinical trials in low-resource settings.
MethodsChildren aged 5–12 and 2–16 years with SCA in northern Nigeria were enrolled in the SPRING and SPRINT primary and secondary stroke prevention trials, respectively. The primary outcome measure in both trials was a clinical stroke based on the World Health Organization definition. Non-neurologist physicians were trained in-person and via video lectures regarding stroke recognition, performing neurological examinations using the adapted Pediatric NIH Stroke Scale, and acute stroke care. Central stroke adjudicators, two pediatric neurologists, reviewed the case report forms and recorded videos of the neurological examinations.
ResultsSix physicians completed the curriculum at three sites and were certified to detect strokes. Of 20 children with suspected stroke, 8 and 11 children had acute initial or acute recurrent strokes confirmed in the SPRING (N = 220) and SPRINT (N = 101) trials, respectively. The concordance rate between local stroke diagnoses and the central stroke adjudication process was 95% (19 of 20). One child presented with non-specific symptoms and hypertonia and was mislabeled locally as an acute stroke.
DiscussionA curriculum to train healthcare providers in pediatric acute stroke recognition and care in a low-resource setting is feasible and sustainable. We successfully identified strategies for task shifting from a single pediatric neurologist in the region to multiple non-neurologist physicians.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fstro.2024.1444718.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Identifying_strokes_in_Nigerian_children_with_sickle_cell_disease_as_part_of_clinical_trials_training_curriculum_for_healthcare_professionals_in_low-income_settings_PDF/28139690）。