原发性免疫缺陷风险生命体征计算表
基于索赔数据计算原发性免疫缺陷风险评分的表格数据集，来自大型儿科人群分析，识别中高风险个体及确诊病例。
基本信息
资源简介
原发性免疫缺陷风险生命体征计算表
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集，收录 1 个文件、合计 87.79 KB，主题涵盖 primary immumunodeficiencies、biomedical informatics、public health、biomedical informatics and mathematics、big data and analytics，可用于统计建模、特征工程与队列分析，CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Table_3_Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support.DOCX》。配套论文《Clinical decision support: progress and opportunities》发表于 Journal of the American Medical Informatics Association（2010），DOI：10.1136/jamia.2010.005561。源站首次发布：2019-03-18。
【数据内容】
源站原始描述：Background: Early diagnosis of primary immunodeficiency disease leads to reductions in illness and decreased healthcare costs. Analysis of electronic health record data may allow for identification of persons at risk of host-defense impairments from within the general population. Our hypothesis was that coded infection history would inform individual risk of disease and ultimately lead to diagnosis. Methods: In this study we assessed individual risk for primary immunodeficiency by analyzing diag…
【数据结构与技术规格】
文件数 1 个，合计 87.79 KB。Table_3_Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support.DOCX：application/vnd.openxmlformats-officedocument.wordprocessingml.document，87.79 KB。数据集 DOI：10.3389/fped.2019.00070.s003。
【主题与分类】
源站学科分类：Foetal Development and Medicine、Obstetrics and Gynaecology、Paediatrics、Paediatrics and Reproductive Medicine not elsewhere classified。主题标签：primary immumunodeficiencies、biomedical informatics、public health、biomedical informatics and mathematics、big data and analytics。
【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://frontiersin.figshare.com/articles/dataset/Table_3_Calculation_of_a_Primary_Immunodeficiency_Risk_Vital_Sign_via_Population-Wide_Analysis_of_Claims_Data_to_Aid_in_Clinical_Decision_Support_DOCX/7856306
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：L. Rider, Nicholas; Miao, Di; Dodds, Margaret; Modell, Vicki; Modell, Fred; Quinn, Jessica; et al. (2019). Table_3_Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support.DOCX. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-01，引用时请注意版本时效。
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Table_3_Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support.DOCX
- DOI：10.3389/fped.2019.00070.s003
- 发布日期：2019-03-18
- 文件数：1 个
- 文件总体积：87.79 KB
- 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_3_Calculation_of_a_Primary_Immunodeficiency_Risk_Vital_Sign_via_Population-Wide_Analysis_of_Claims_Data_to_Aid_in_Clinical_Decision_Support_DOCX/7856306
命令行下载
curl -L -o "Table_3_Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support.DOCX" "https://ndownloader.figshare.com/files/14627624"
文件清单
Table_3_Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support.DOCX（87.79 KB）
文件总体积 87.79 KB（源站 API 实测）。
数据说明
Background: Early diagnosis of primary immunodeficiency disease leads to reductions in illness and decreased healthcare costs. Analysis of electronic health record data may allow for identification of persons at risk of host-defense impairments from within the general population. Our hypothesis was that coded infection history would inform individual risk of disease and ultimately lead to diagnosis.
Methods: In this study we assessed individual risk for primary immunodeficiency by analyzing diagnostic codes and pharmacy records from members (n = 185,892) of a large pediatric health network. Relevant infection-associated diagnostic codes were weighted and enumerated for individual members allowing for risk score calculations (“Risk Vital Sign”). At-risk individuals underwent further assessment by chart review and re-analysis of diagnostic codes 12 months later.
Results: Of the original cohort, 2188 (1.2%) individuals were identified as medium-high-risk for having a primary immunodeficiency. This group included 41 subjects who were ultimately diagnosed with primary immunodeficiency. An additional 57 medium-high risk patients had coded diagnoses worthy of referral.
Conclusions: Population-wide informatics approaches can facilitate disease detection and improve outcomes. Early identification of the 98 patients with confirmed or suspected primary immunodeficiency described here could represent an annual cost savings of up to $7.7 million US Dollars.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fped.2019.00070.s003（source: https://frontiersin.figshare.com/articles/dataset/Table_3_Calculation_of_a_Primary_Immunodeficiency_Risk_Vital_Sign_via_Population-Wide_Analysis_of_Claims_Data_to_Aid_in_Clinical_Decision_Support_DOCX/7856306）。
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