Assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.

<h4>Background</h4>Prospective syndromic surveillance of emergency department visits has been used for near-real time tracking of communicable diseases to detect outbreaks or other unexpected disease clusters. The utility of syndromic surveillance for tracking cardiovascular events, whic...

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Autores principales:	Robert W Mathes, Kazuhiko Ito, Thomas Matte
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e54e222460d2438faef05e40ceff5581
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spelling	oai:doaj.org-article:e54e222460d2438faef05e40ceff55812021-11-18T06:58:52ZAssessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.1932-620310.1371/journal.pone.0014677https://doaj.org/article/e54e222460d2438faef05e40ceff55812011-02-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21339818/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Prospective syndromic surveillance of emergency department visits has been used for near-real time tracking of communicable diseases to detect outbreaks or other unexpected disease clusters. The utility of syndromic surveillance for tracking cardiovascular events, which may be influenced by environmental factors and influenza, has not been evaluated. We developed and evaluated a method for tracking cardiovascular events using emergency department free-text chief complaints.<h4>Methodology/principal findings</h4>There were three phases to our analysis. First we applied text processing algorithms based on sensitivity, specificity, and positive predictive value to chief complaint data reported by 11 New York City emergency departments for which ICD-9 discharge diagnosis codes were available. Second, the same algorithms were applied to data reported by a larger sample of 50 New York City emergency departments for which discharge diagnosis was unavailable. From this more complete data, we evaluated the consistency of temporal variation of cardiovascular syndromic events and hospitalizations from 76 New York City hospitals. Finally, we examined associations between particulate matter ≤2.5 µm (PM(2.5)), syndromic events, and hospitalizations. Sensitivity and positive predictive value were low for syndromic events, while specificity was high. Utilizing the larger sample of emergency departments, a strong day of week pattern and weak seasonal trend were observed for syndromic events and hospitalizations. These time-series were highly correlated after removing the day-of-week, holiday, and seasonal trends. The estimated percent excess risks in the cold season (October to March) were 1.9% (95% confidence interval (CI): 0.6, 3.2), 2.1% (95% CI: 0.9, 3.3), and 1.8% (95%CI: 0.5, 3.0) per same-day 10 µg/m(3) increase in PM(2.5) for cardiac-only syndromic data, cardiovascular syndromic data, and hospitalizations, respectively.<h4>Conclusions/significance</h4>Near real-time emergency department chief complaint data may be useful for timely surveillance of cardiovascular morbidity related to ambient air pollution and other environmental events.Robert W MathesKazuhiko ItoThomas MattePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 2, p e14677 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Robert W Mathes Kazuhiko Ito Thomas Matte Assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.
description	<h4>Background</h4>Prospective syndromic surveillance of emergency department visits has been used for near-real time tracking of communicable diseases to detect outbreaks or other unexpected disease clusters. The utility of syndromic surveillance for tracking cardiovascular events, which may be influenced by environmental factors and influenza, has not been evaluated. We developed and evaluated a method for tracking cardiovascular events using emergency department free-text chief complaints.<h4>Methodology/principal findings</h4>There were three phases to our analysis. First we applied text processing algorithms based on sensitivity, specificity, and positive predictive value to chief complaint data reported by 11 New York City emergency departments for which ICD-9 discharge diagnosis codes were available. Second, the same algorithms were applied to data reported by a larger sample of 50 New York City emergency departments for which discharge diagnosis was unavailable. From this more complete data, we evaluated the consistency of temporal variation of cardiovascular syndromic events and hospitalizations from 76 New York City hospitals. Finally, we examined associations between particulate matter ≤2.5 µm (PM(2.5)), syndromic events, and hospitalizations. Sensitivity and positive predictive value were low for syndromic events, while specificity was high. Utilizing the larger sample of emergency departments, a strong day of week pattern and weak seasonal trend were observed for syndromic events and hospitalizations. These time-series were highly correlated after removing the day-of-week, holiday, and seasonal trends. The estimated percent excess risks in the cold season (October to March) were 1.9% (95% confidence interval (CI): 0.6, 3.2), 2.1% (95% CI: 0.9, 3.3), and 1.8% (95%CI: 0.5, 3.0) per same-day 10 µg/m(3) increase in PM(2.5) for cardiac-only syndromic data, cardiovascular syndromic data, and hospitalizations, respectively.<h4>Conclusions/significance</h4>Near real-time emergency department chief complaint data may be useful for timely surveillance of cardiovascular morbidity related to ambient air pollution and other environmental events.
format	article
author	Robert W Mathes Kazuhiko Ito Thomas Matte
author_facet	Robert W Mathes Kazuhiko Ito Thomas Matte
author_sort	Robert W Mathes
title	Assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.
title_short	Assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.
title_full	Assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.
title_fullStr	Assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.
title_full_unstemmed	Assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.
title_sort	assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in new york city.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/e54e222460d2438faef05e40ceff5581
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Assessing syndromic surveillance of cardiovascular outcomes from emergency department chief complaint data in New York City.

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