Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America.
PLoS One. 2010 Sep 9;5(9):e12658. doi: 10.1371/journal.pone.0012658.
In June of 2009, the World Health Organization declared the first influenza pandemic of the 21(st) century, and by July, New York City's New York-Presbyterian Hospital (NYPH) experienced a heavy burden of cases, attributable to a novel strain of the virus (H1N1pdm).
We present the signs in the NYPH electronic health records (EHR) that distinguished the 2009 pandemic from previous seasonal influenza outbreaks via various statistical analyses. These signs include (1) an increase in the number of patients diagnosed with influenza, (2) a preponderance of influenza diagnoses outside of the normal flu season, and (3) marked vaccine failure. The NYPH EHR also reveals distinct age distributions of patients affected by seasonal influenza and the pandemic strain, and via available longitudinal data, suggests that the two may be associated with distinct sets of comorbid conditions as well. In particular, we find significantly more pandemic flu patients with diagnoses associated with asthma and underlying lung disease. We further observe that the NYPH EHR is capable of tracking diseases at a resolution as high as particular zip codes in New York City.
The NYPH EHR permits early detection of pandemic influenza and hypothesis generation via identification of those significantly associated illnesses. As data standards develop and databases expand, EHRs will contribute more and more to disease detection and the discovery of novel disease associations.
2009 年 6 月,世界卫生组织宣布 21 世纪首例流感大流行,到 7 月,纽约长老会医院(NYPH)因新型病毒(H1N1pdm)而承受了沉重的病例负担。
我们通过各种统计分析,展示了 NYPH 电子健康记录(EHR)中与 2009 年大流行相关的标志,这些标志包括(1)诊断出流感的患者数量增加,(2)流感诊断在正常流感季节之外的比例增加,以及(3)疫苗接种明显失败。NYPH EHR 还揭示了季节性流感和大流行病毒株所影响的患者的明显不同的年龄分布,并且通过可用的纵向数据表明,两者可能与不同的合并症集相关。特别是,我们发现与哮喘和潜在肺部疾病相关的诊断的大流行流感患者明显更多。我们进一步观察到,NYPH EHR 能够以高达纽约市特定邮政编码的分辨率跟踪疾病。
NYPH EHR 通过识别那些显著相关的疾病,允许早期检测大流行性流感并产生假说。随着数据标准的发展和数据库的扩展,EHR 将越来越有助于疾病检测和发现新的疾病关联。