脉搏血氧仪用于识别巴布亚新几内亚农村门诊儿童重症和重症肺炎的回顾性研究

数据集获取（Figshare）

• 源站标题：Retrospective study on the usefulness of pulse oximetry for the identification of young children with severe illnesses and severe pneumonia in a rural outpatient clinic of Papua New Guinea
• DOI：10.1371/journal.pone.0213937
• 发布日期：2019-04-15
• 文件数：3 个
• 文件总体积：891.36 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Retrospective_study_on_the_usefulness_of_pulse_oximetry_for_the_identification_of_young_children_with_severe_illnesses_and_severe_pneumonia_in_a_rural_outpatient_clinic_of_Papua_New_Guinea/7994711

命令行下载

curl -L -o "pone.0213937.s001.tif" "https://ndownloader.figshare.com/files/14888861"
curl -L -o "pone.0213937.s002.tif" "https://ndownloader.figshare.com/files/14888867"
curl -L -o "pone.0213937.s003.tif" "https://ndownloader.figshare.com/files/14888870"

文件清单

• pone.0213937.s001.tif（323.74 KB）
• pone.0213937.s002.tif（282.23 KB）
• pone.0213937.s003.tif（285.39 KB）

文件总体积 891.36 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

Objective
This secondary analysis of data of a randomized controlled trial (RCT) retrospectively investigated the performance of pulse oximetry in identifying children with severe illnesses, with and without respiratory signs/symptoms, in a cohort of children followed for morbid episodes in an intervention trial assessing the efficacy of Intermittent Preventive Treatment for malaria in infants (IPTi) in Papua New Guinea (PNG) from June 2006 to May 2010.
Setting
The IPTi study was conducted in a paediatric population visiting two health centres on the north coast of PNG in the Mugil area of the Sumkar District.
Participants
A total of 669 children visited the clinic and a total of 1921 illness episodes were recorded. Inclusion criteria were: age between 3 and 27 months, full clinical record (signs/symptoms) and pulse oximetry used systematically to assess sick children at all visits. Children were excluded if they visited the clinic in the previous 14 days.
Outcomes
The outcome measures were severe illness, severe pneumonia, pneumonia, defined by the Integrated Management of Childhood Illness (IMCI) definitions, and hospitalization.
Results
Out of 1921 illness episodes, 1663 fulfilled the inclusion criteria. A total of 139 severe illnesses were identified, of which 93 were severe pneumonia. The ROC curves of pulse oximetry (continuous variable) showed an AUC of 0.63, 0.68 and 0.65 for prediction of severe illness, severe pneumonia and hospitalization, respectively. Pulse oximetry allowed better discrimination between severe and non-severe illness, severe and non-severe pneumonia, admitted and non-admitted patients, in children ≤12-months of age relative to older patients. For the threshold of peripheral arterial oxygen saturation ≤ 94% measured by pulse oximetry (SpO2), unadjusted odds ratios for severe illness, severe pneumonia and hospitalization were 6.1 (95% Confidence Interval (CI) 3.9–9.8), 8.5 (4.9–14.6) and 5.9 (3.4–10.3), respectively.
Conclusion
Pulse oximetry was helpful in identifying children with severe illness in outpatient facilities in PNG. A SpO2 of 94% seems the most discriminative threshold. Considering its affordability and ease of use, pulse

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0213937（source: https://plos.figshare.com/articles/dataset/Retrospective_study_on_the_usefulness_of_pulse_oximetry_for_the_identification_of_young_children_with_severe_illnesses_and_severe_pneumonia_in_a_rural_outpatient_clinic_of_Papua_New_Guinea/7994711）。