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Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records

BACKGROUND: 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). METHODS AND RESU...

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Autores principales: Khiabanian, Hossein, Holmes, Antony B., Kelly, Brendan J., Gururaj, Mrinalini, Hripcsak, George, Rabadan, Raul
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936568/
https://www.ncbi.nlm.nih.gov/pubmed/20844592
http://dx.doi.org/10.1371/journal.pone.0012658
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author Khiabanian, Hossein
Holmes, Antony B.
Kelly, Brendan J.
Gururaj, Mrinalini
Hripcsak, George
Rabadan, Raul
author_facet Khiabanian, Hossein
Holmes, Antony B.
Kelly, Brendan J.
Gururaj, Mrinalini
Hripcsak, George
Rabadan, Raul
author_sort Khiabanian, Hossein
collection PubMed
description BACKGROUND: 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). METHODS AND RESULTS: 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. CONCLUSION: 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.
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spelling pubmed-29365682010-09-15 Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records Khiabanian, Hossein Holmes, Antony B. Kelly, Brendan J. Gururaj, Mrinalini Hripcsak, George Rabadan, Raul PLoS One Research Article BACKGROUND: 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). METHODS AND RESULTS: 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. CONCLUSION: 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. Public Library of Science 2010-09-09 /pmc/articles/PMC2936568/ /pubmed/20844592 http://dx.doi.org/10.1371/journal.pone.0012658 Text en Khiabanian et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Khiabanian, Hossein
Holmes, Antony B.
Kelly, Brendan J.
Gururaj, Mrinalini
Hripcsak, George
Rabadan, Raul
Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records
title Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records
title_full Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records
title_fullStr Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records
title_full_unstemmed Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records
title_short Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records
title_sort signs of the 2009 influenza pandemic in the new york-presbyterian hospital electronic health records
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936568/
https://www.ncbi.nlm.nih.gov/pubmed/20844592
http://dx.doi.org/10.1371/journal.pone.0012658
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