Impact of Age and Sex on Outcomes and Hospital Cost of Acute Asthma in the United States, 2011-2012
2011-2012年美国急性哮喘住院患者的年龄、性别及费用数据,来自HCUP NIS和SARP,用于分析哮喘严重程度的影响因素。

基本信息
资源简介
Impact of Age and Sex on Outcomes and Hospital Cost of Acute Asthma in the United States, 2011-2012
【数据集背景】
配套论文《Impact of Age and Sex on Outcomes and Hospital Cost of Acute Asthma in the United States, 2011-2012》发表于 PLOS ONE(2016),DOI:10.1371/journal.pone.0157301。源站首次发布:2016-06-13。
【数据内容】
源站原始描述:Background Worldwide, asthma is a leading cause of morbidity, mortality and economic burden, with significant gender and racial disparities. However, little attention has been given to the independent role of age on lifetime asthma severity and hospitalization. We aimed to assess the effect of age, gender, race and ethnicity on indicators of asthma severity including asthma related hospitalization, mortality, hospital cost, and the rate of respiratory failure. Methods We analyzed the 2011 and 20…
【数据结构与技术规格】
文件数 13 个,合计 1.72 MB。S1 Appendix.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,18.60 KB。S1 Fig.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,121.91 KB。S2 Fig.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,434.98 KB。数据集 DOI:10.1371/journal.pone.0157301。
【主题与分类】
源站学科分类:Medicine、Genetics、Molecular Biology、Biotechnology、Evolutionary Biology、Developmental Biology。主题标签:hospitalization age、2012 Healthcare Cost、sex hormones、Hospital Cost、asthma severity、NIS、5 years、lifetime asthma severity、United States、bimodal peak distribution。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Impact_of_Age_and_Sex_on_Outcomes_and_Hospital_Cost_of_Acute_Asthma_in_the_United_States_2011-2012/3440147
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:G. Zein, Joe; Udeh, Belinda L.; Gerald Teague, W.; Koroukian, Siran M.; Schlitz, Nicholas K.; R. Bleecker, Eugene; et al. (2016). Impact of Age and Sex on Outcomes and Hospital Cost of Acute Asthma in the United States, 2011-2012. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Impact of Age and Sex on Outcomes and Hospital Cost of Acute Asthma in the United States, 2011-2012
- DOI:10.1371/journal.pone.0157301
- 发布日期:2016-06-13
- 文件数:13 个
- 文件总体积:1.72 MB
- 源站页面:https://plos.figshare.com/articles/dataset/Impact_of_Age_and_Sex_on_Outcomes_and_Hospital_Cost_of_Acute_Asthma_in_the_United_States_2011-2012/3440147
命令行下载
curl -L -o "S1 Appendix.DOCX" "https://ndownloader.figshare.com/files/5402333"
curl -L -o "S1 Fig.DOCX" "https://ndownloader.figshare.com/files/5402339"
curl -L -o "S2 Fig.DOCX" "https://ndownloader.figshare.com/files/5402342"
curl -L -o "S3 Fig.DOCX" "https://ndownloader.figshare.com/files/5402345"
curl -L -o "S4 Fig.DOCX" "https://ndownloader.figshare.com/files/5402351"
curl -L -o "S5 Fig.DOCX" "https://ndownloader.figshare.com/files/5402354"
curl -L -o "S6 Fig.DOCX" "https://ndownloader.figshare.com/files/5402357"
curl -L -o "S7 Fig.DOCX" "https://ndownloader.figshare.com/files/5402360"
文件清单
S1 Appendix.DOCX(18.60 KB)S1 Fig.DOCX(121.91 KB)S2 Fig.DOCX(434.98 KB)S3 Fig.DOCX(244.97 KB)S4 Fig.DOCX(235.09 KB)S5 Fig.DOCX(138.26 KB)S6 Fig.DOCX(253.62 KB)S7 Fig.DOCX(181.23 KB)S1 Table.DOCX(17.82 KB)S2 Table.DOCX(16.99 KB)S3 Table.DOCX(17.28 KB)S4 Table.DOCX(18.58 KB)S5 Table.DOCX(17.48 KB)
文件总体积 1.72 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
Background
Worldwide, asthma is a leading cause of morbidity, mortality and economic burden, with significant gender and racial disparities. However, little attention has been given to the independent role of age on lifetime asthma severity and hospitalization. We aimed to assess the effect of age, gender, race and ethnicity on indicators of asthma severity including asthma related hospitalization, mortality, hospital cost, and the rate of respiratory failure.
Methods
We analyzed the 2011 and 2012 Healthcare Cost and Utilization Project- National Inpatient Sample (NIS). We validated and extended those results using the National Heart, Lung, and Blood Institute-Severe Asthma Research Program (SARP; 2002–2011) database. Severe asthma was prospectively defined using the stringent American Thoracic Society (ATS) definition.
Results
Hospitalization for asthma was reported in 372,685 encounters in 2012 and 368,528 in 2011. The yearly aggregate cost exceeded $2 billion. There were distinct bimodal distributions for hospitalization age, with an initial peak at 5 years and a second at 50 years. Likewise, this bimodal age distribution of patients with severe asthma was identified using SARP. Males comprised the majority of individuals in the first peak, but women in the second. Aggregate hospital cost mirrored the bimodal peak distribution. The probability of respiratory failure increased with age until the age of 60, after which it continued to increase in men, but not in women.
Conclusions
Severe asthma is primarily a disease of young boys and middle age women. Greater understanding of the biology of lung aging and influence of sex hormones will allow us to plan for targeted interventions during these times in order to reduce the personal and societal burdens of asthma.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0157301(source: https://plos.figshare.com/articles/dataset/Impact_of_Age_and_Sex_on_Outcomes_and_Hospital_Cost_of_Acute_Asthma_in_the_United_States_2011-2012/3440147)。
数据缺失?
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