Value of ICD-9-Coded Chief Complaints for Detection of Epidemics

Tsui, Fu-Chiang; Wagner, Michael M.; Dato, Virginia; Chang, Chung‐Chou H.

doi:10.1197/jamia.m1224

Cited by 64 publications

(75 citation statements)

References 11 publications

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“…We therefore adopted an administrative case definition of ILI, which consisted of a broad bundle of diagnoses, including bronchitis, pneumonia, cold, cough and exacerbations of chronic obstructive pulmonary disease (see electronic supplementary material [ESM] Tables 1 and 2). This case definition, determined in a pilot study of six emergency departments, is similar to those of other studies identifying diagnoses correlated with influenza activity [21,22]. ILI was chosen to represent the common manifestations of influenza, which include PI hospitalisations.…”

Section: Methodsmentioning

confidence: 95%

Working-age adults with diabetes experience greater susceptibility to seasonal influenza: a population-based cohort study

et al. 2014

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Aims/hypothesis The aim of this work was to compare the incidence of illness attributable to influenza in working-age adults (age <65 years) with and without diabetes. Methods We performed a cohort study using administrative data from Manitoba, Canada, between 2000 and 2008. All working-age adults with diabetes were identified and matched with up to two non-diabetic controls. We analysed the rates of influenza-like illness physician visits and hospitalisations, pneumonia and influenza hospitalisations, and all-cause hospitalisations. Multivariable regressions were used to estimate the influenza-attributable rate of each outcome. Results We included 745,777 person-years of follow-up among 166,715 subjects. The median age was 50-51 years and 48-49% were women; adults with diabetes had more comorbidities and were more likely to be vaccinated for influenza than those without diabetes. Compared with similar adults without diabetes, those with diabetes had a 6% greater (RR 1.06, 95% CI 1.02, 1.10; absolute risk difference 6 per 1,000 adults per year) increase in all-cause hospitalisations associated with influenza, representing a total of 54 additional hospitalisations. There were no differences in the influenzaattributable rates of influenza-like illness (p = 0.06) or pneumonia and influenza (p = 0.11). Conclusions/interpretation Guidelines calling for influenza vaccinations in diabetic, in addition to elderly, adults implicitly single out working-age adults with diabetes. The evidence supporting such guidelines has hitherto been scant. We found that working-age adults with diabetes appear more susceptible to serious influenza-attributable illness. These findings represent the strongest available evidence for targeting diabetes as an indication for influenza vaccination, irrespective of age.

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Section: Methodsmentioning

confidence: 95%

Working-age adults with diabetes experience greater susceptibility to seasonal influenza: a population-based cohort study

et al. 2014

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“…16,17 Additional studies that measured sensitivity and specificity of outbreak detection systems but not timeliness could be reanalyzed to measure timeliness. [18][19][20][21][22][23][24][25][26][27] Such analyses would provide insights about the timeliness of detection of those outbreaks studied (influenza, gastroenteritides, hepatitis, measles, mumps, meningitis, pertussis, rubella, and nosocomial outbreaks), a variety of detection methods (quality control charts, 15,[18][19][20] time-series analyses, 17,[21][22][23] naïve Bayes, 24 hidden Markov models, 25 and ad hoc algorithms 26,27 ), and a variety of signals Figure 2. Cumulative economic impact with and without post-attack treatment following a hypothetical bioterrorist attack with B. anthracis on a population of 100,000.…”

Section: Previous Work On Measuring Timeliness Of a Detection Systemmentioning

confidence: 99%

“…An exception is Influenza, for which researchers have studied changes that appear in weekly or daily counts of numerous types of routinely collected data. 15,17,43 For many other dis- Legend: Lab, influenza cultures from the UPMC Health System; WebMD, counts of queries to a national Web health site using words such as cold and flu; School, school nurse influenza reporting; Resp. and Viral, categories of emergency department ICD-9-coded chief complaints.…”

Section: Journal Of Public Health Management and Practice/november 2001mentioning

confidence: 99%

The Emerging Science of Very Early Detection of Disease Outbreaks

Wagner

Tsui

Espino

et al. 2001

Journal of Public Health Management and Practice

181

123

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“…Using visual examination, abnormal peaks were observed only in DeadBird due to health troubles occurring in the wild bird population (i.e., intoxication). These extreme values were removed based on a method adapted from Tsui et al (Tsui et al 2001): the entire data set was first fitted to a negative binomial (NB) distribution (Supplementary Table S1; Supplementary Data are available online at www.liebertpub.com/vbz), and then, values above the 95% confidence interval were deleted and replaced with the average value of the four previous weeks.…”

Section: Data Modeling and Simulationmentioning

confidence: 99%

Evaluation of a Multivariate Syndromic Surveillance System for West Nile Virus

Faverjon

Andersson

Decors

et al. 2016

Vector-Borne and Zoonotic Diseases

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Background: Various methods are currently used for the early detection of West Nile virus (WNV) but their outputs are not quantitative and/or do not take into account all available information. Our study aimed to test a multivariate syndromic surveillance system to evaluate if the sensitivity and the specificity of detection of WNV could be improved. Methods: Weekly time series data on nervous syndromes in horses and mortality in both horses and wild birds were used. Baselines were fitted to the three time series and used to simulate 100 years of surveillance data. WNV outbreaks were simulated and inserted into the baselines based on historical data and expert opinion. Univariate and multivariate syndromic surveillance systems were tested to gauge how well they detected the outbreaks; detection was based on an empirical Bayesian approach. The systems' performances were compared using measures of sensitivity, specificity, and area under receiver operating characteristic curve (AUC). Results: When data sources were considered separately (i.e., univariate systems), the best detection performance was obtained using the data set of nervous symptoms in horses compared to those of bird and horse mortality (AUCs equal to 0.80, 0.75, and 0.50, respectively). A multivariate outbreak detection system that used nervous symptoms in horses and bird mortality generated the best performance (AUC = 0.87). Conclusions: The proposed approach is suitable for performing multivariate syndromic surveillance of WNV outbreaks. This is particularly relevant, given that a multivariate surveillance system performed better than a univariate approach. Such a surveillance system could be especially useful in serving as an alert for the possibility of human viral infections. This approach can be also used for other diseases for which multiple sources of evidence are available.

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Value of ICD-9-Coded Chief Complaints for Detection of Epidemics

Cited by 64 publications

References 11 publications

Working-age adults with diabetes experience greater susceptibility to seasonal influenza: a population-based cohort study

Working-age adults with diabetes experience greater susceptibility to seasonal influenza: a population-based cohort study

The Emerging Science of Very Early Detection of Disease Outbreaks

Evaluation of a Multivariate Syndromic Surveillance System for West Nile Virus

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