scholarly journals COVID-19 presenting as anosmia and dysgeusia in New York City emergency departments, March - April, 2020

2020 ◽  
Author(s):  
Tina Z. Wang ◽  
Jessica Sell ◽  
Don Weiss ◽  
Ramona Lall
Keyword(s):  
Emergency Department ◽  
New York ◽  
New York City ◽  
York City ◽  
Emergency Departments ◽  
Clinical Laboratory ◽  
Disease Diagnosis ◽  
Emergency Department Visits ◽  
Cross Sectional ◽  
Presenting Symptoms

AbstractBackgroundIncreasing evidence has been emerging of anosmia and dysgeusia as frequently reported symptoms in COVID-19. Improving our understanding of these presenting symptoms may facilitate the prompt recognition of the disease in emergency departments and prevent further transmission.MethodsWe examined a cross-sectional cohort using New York City emergency department syndromic surveillance data for March and April 2020. Emergency department visits for anosmia and/or dysgeusia were identified and subsequently matched to the Electronic Clinical Laboratory Reporting System to determine testing results for SARS-CoV-2.ResultsOf the 683 patients with anosmia and/or dysgeusia included, SARS-CoV-2 testing was performed for 232 (34%) and 168 (72%) were found to be positive. Median age of all patients presenting with anosmia and/or dysgeusia symptoms was 38, and 54% were female. Anosmia and/or dysgeusia was the sole complaint of 158 (23%) patients, of whom 35 were tested for SARS-CoV-2 and 23 (66%) were positive. While the remaining patients presented with at least one other symptom, nearly half of all patients (n=334, 49%) and more than a third of those who tested positive (n=62, 37%) did not have any of the CDC-established symptoms used for screening of COVID-19 such as fever, cough, shortness of breath, or sore throat.Conclusions and RelevanceAnosmia and/or dysgeusia have been frequent complaints among patients presenting to emergency departments during the COVID-19 pandemic, and, while only a small proportion of patients ultimately underwent testing for SARS-CoV-19, the majority of patients tested have been positive. Anosmia and dysgeusia likely represent underrecognized symptoms of COVID-19 but may have important future implications in disease diagnosis and surveillance.

scholarly journals Emergency Department Visits for Homelessness or Inadequate Housing in New York City before and after Hurricane Sandy

2016 ◽  
Vol 93 (2) ◽  
pp. 331-344 ◽  
Author(s):  
Kelly M. Doran ◽  
Ryan P. McCormack ◽  
Eileen L. Johns ◽  
Brendan G. Carr ◽  
Silas W. Smith ◽  
...  
Keyword(s):  
Emergency Department ◽  
New York ◽  
New York City ◽  
York City ◽  
Hurricane Sandy ◽  
Emergency Department Visits ◽  
Inadequate Housing ◽  
Before And After

The associations between daily spring pollen counts and asthma emergency department visits syndrome in New York City

2013 ◽  
Vol 2013 (1) ◽  
pp. 4224
Author(s):  
Kazuhiko Ito ◽  
Kate Weinberger ◽  
Perry Sheffield ◽  
Ramona Lall ◽  
Guy Robinson ◽  
...  
Keyword(s):  
Emergency Department ◽  
New York ◽  
New York City ◽  
York City ◽  
Emergency Department Visits ◽  
Pollen Counts

Abstract P325: Emergency Department Visit Rates for Influenza-like Illness Can be Used to Predict Seasonal Cardiovascular Disease Mortality Rates Among Older Adults

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Jennifer Nguyen ◽  
Wan Yang ◽  
Kazuhiko Ito ◽  
Thomas Matte ◽  
Jeffrey L Shaman ◽  
...  
Keyword(s):  
Emergency Department ◽  
New York ◽  
New York City ◽  
Cardiovascular Mortality ◽  
York City ◽  
Influenza Season ◽  
Emergency Department Visits ◽  
Influenza Like Illness ◽  
Disease Mortality ◽  
Icd 10

Introduction: In temperate regions, cardiovascular deaths and influenza epidemics peak with regularity during the winter months. Hypothesis: We assessed the hypothesis that population increases in seasonal influenza infections are associated with a rise in mortality due to cardiovascular causes, and that influenza incidence can be used to predict cardiovascular mortality rates during the influenza season. Methods: We used time series regression models, adjusted for season and time trend, to quantify the temporal association between influenza incidence and cardiovascular mortality during the influenza season in New York City. Mortality data on date of death, age, and underlying cause of death were obtained from the New York City Office of Vital Statistics. Daily mortality counts from 2006 to 2012 were aggregated for all cardiovascular causes (International Classification of Diseases, Revision 10 (ICD-10) codes I00-I99), ischemic heart disease (ICD-10 codes I20-I25), and myocardial infarction (ICD-10 code I21). Influenza incidence was represented using four different measures: emergency department visits for influenza-like illness, grouped by age ≥ 0 and age ≥ 65 years, and these same measures scaled by laboratory surveillance data for viral types/sub-types. The 2009 H1N1 pandemic period was excluded from temporal analyses and reserved for out-of-sample prediction. Results: There were 73,384 cardiovascular deaths among adults age ≥ 65 years during the influenza seasons between 2006 and 2012, excluding the 2009 H1N1 pandemic period. Interquartile range increases of the four indicators of influenza incidence in the previous 21 days were associated with increases in cardiovascular mortality of between 2.3% (95% confidence interval (CI): 0.7%, 3.9%) and 6.3% (95% CI: 3.6%, 8.9%), and increases in ischemic heart disease mortality of between 2.4% (95% CI: 1.1%, 3.7%) and 7.0% (95% CI: 4.1%, 10.0%). Associations were most acute and strongest for myocardial infarction mortality, with interquartile range increases for the four influenza indicators during the previous 14 days associated with mortality increases between 5.9% (95% CI: 2.7%, 9.2%) and 12.8% (95% CI: 5.1%, 20.6%). Out-of-sample prediction of cardiovascular mortality among adults age ≥ 65 years during the 2009-2010 influenza season yielded average estimates with 94.4% accuracy. Conclusions: Emergency department visits for influenza-like illness are associated with and predictive of cardiovascular disease mortality in New York City. Retrospective estimation of influenza-attributable cardiovascular mortality burden, combined with accurate and reliable influenza forecasts, could predict the timing and burden of seasonal increases in cardiovascular mortality.

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