








key: cord-309860-otx45b8x
authors: Conway, Nicholas T.; Wake, Zoe V.; Richmond, Peter C.; Smith, David W.; Keil, Anthony D.; Williams, Simon; Kelly, Heath; Carcione, Dale; Effler, Paul V.; Blyth, Christopher C.
title: Clinical Predictors of Influenza in Young Children: The Limitations of “Influenza-Like Illness”
date: 2012-09-03
journal: J Pediatric Infect Dis Soc
DOI: 10.1093/jpids/pis081
sha: 
doc_id: 309860
cord_uid: otx45b8x

BACKGROUND: Influenza-like illness (ILI) definitions have been infrequently studied in young children. Despite this, clinical definitions of ILI play an important role in influenza surveillance. This study aims to identify clinical predictors of influenza infection in children ≤5 years old from which age-specific ILI definitions are then constructed. METHODS: Children aged 6–59 months with a history of fever and acute respiratory symptoms were recruited in the Western Australia Influenza Vaccine Effectiveness (WAIVE) Study. Clinical data and per-nasal specimens were obtained from all children. Logistic regression identified significant predictors of influenza infection. Different ILI definitions were compared for diagnostic accuracy. RESULTS: Children were recruited from 2 winter influenza seasons (2008–2009; n = 944). Of 919 eligible children, 179 (19.5%) had laboratory-confirmed influenza infection. Predictors of infection included increasing age, lack of influenza vaccination, lower birth weight, fever, cough, and absence of wheeze. An ILI definition comprising fever ≥38°C, cough, and no wheeze had 58% sensitivity (95% confidence interval [CI], 50–66), 60% specificity (95% CI, 56–64), 26% positive predictive value (95% CI, 21–31), and 86% negative predictive value (95% CI, 82–89). The addition of other symptoms or higher fever thresholds to ILI definition had little impact. The Centers for Disease Control and Prevention definition of ILI (presence of fever [≥37.8°C] and cough and/or sore throat) was sensitive (92%; 95% CI, 86–95), yet lacked specificity (10%; 95% CI, 8–13) in this population. CONCLUSIONS: Influenza-like illness is a poor predictor of laboratory-confirmed influenza infection in young children but can be improved using age-specific data. Incorporating age-specific ILI definitions and/or diagnostic testing into influenza surveillance systems will improve the accuracy of epidemiological data.

Population surveillance is used to guide preventative strategies for influenza such as choosing strains for seasonal influenza vaccine constitution and early identification of pandemic or epidemic antigenic drift variants [1] . Early diagnosis of influenza disease also influences clinical decision making, especially when managing those at higher risk of severe disease [2] . Influenza disease surveillance usually includes a combination of community-and hospital-based syndromic surveillance and routinely collected data concerning morbidity and mortality, with only some including laboratory confirmation of influenza infection.

Consistent with other countries, Australian children <5 years old experience the highest laboratoryconfirmed influenza notification rate (3.4 times the rest of the population in 2008), the highest rate of general practice consultations with influenza-like illness (ILI) ( 50 000/100 000 population in 2008), and the greatest morbidity [3] . In the United States, children <5 years comprised 28% of ILI presentations in the Centers for Disease Control and Prevention (CDC) national network during the 2007-2008 influenza season [4] .

The value of these data using ILI surveillance depends on a reliable and robust definition of ILI as well as a clear understanding of how ILI activity relates to influenza. The definition of ILI varies between countries and surveillance systems, but it usually includes the presence of fever and symptoms of acute respiratory tract infection [5] [6] [7] . Influenza-like illness is a poor predictor of actual influenza infection in adults, despite attempts to improve the accuracy of the definition [8] , but there is limited data on the reliability of ILI in predicting influenza infection in children [9] [10] [11] [12] .

In this study, we have used data collected from young children recruited as part of a community and hospital influenza surveillance program to assess the clinical predictors of influenza infection in children 5 years old. We developed age-specific ILI definitions and tested their diagnostic accuracy against existing definitions and parental opinion.

The Western Australia Influenza Vaccine Effectiveness (WAIVE) Study is an observational study designed to measure influenza vaccine effectiveness in children.

The study design has been described elsewhere [13, 14] . In brief, children 6-59 months of age were eligible for participation if they presented with symptoms suggestive of an acute respiratory infection to selected general practices (2008 only), emergency departments (EDs; 2008 and 2009), and pediatric inpatient facilities (2008 and 2009 ). The recruitment period was for the duration of the winter influenza season as determined by local population surveillance. Children were eligible for enrollment in 2008 whether they had a history of fever (by parental report) or a measured temperature >37.8°C on presentation in addition to any acute respiratory symptoms within 72 hours before recruitment. To enhance recruitment in 2009, children were enrolled whether they had a history of fever or a measured temperature of >37.5°C on presentation plus the presence of any acute respiratory symptoms within 96 hours of recruitment. The study received approval from the relevant local human research ethics committees.

On enrollment by trained research staff, parents were asked to complete a questionnaire detailing demographics, medical history, and presenting symptoms. Temperature measured at enrollment was recorded by research staff. Per-nasal swabs (Copan Diagnostics Inc., Murrieta, CA) placed in viral transport medium or per-nasal aspirates were collected. Influenza testing on nasal swabs was performed by polymerase chain reaction (PCR) directed at hemagglutinin and matrix gene targets in multiplex real-time assay [14, 15] , and by conventional cell cultures [14] . In addition, samples underwent PCR directed at other common respiratory viruses including respiratory syncytial virus (RSV), parainfluenza viruses 1-3, human metapneumovirus, rhinoviruses, adenoviruses, coronaviruses (other than severe acute respiratory syndrome coronavirus), and bocavirus [14] .

Presence of influenza A or B detected by PCR or culture was collapsed into 1 dichotomous dependent outcome: influenza present or absent. The predictor variables of interest fell into 2 groups: (1) demographic factors (age, sex, race [indigenous or other], deprivation quintile, influenza vaccination status, prematurity [<37 completed weeks gestation], birth weight, past medical history, child care usage, household composition, and household smokers); and (2) symptomatology (recorded temperature and presence or absence of parentally reported: cough, coryza, wheeze, breathing difficulties, earache, sinusitis, sore throat, irritability, rash, diarrhoea, vomiting, lethargy, poor feeding, sleep disturbance, fever, and pallor). Vaccination status was verified via the Australian Childhood Immunisation Register (ACIR) [16] . Where ACIR conflicted with parental report, the family doctor was contacted to establish the number of trivalent influenza vaccine (TIV) doses given previously. Because they are not normally distributed, categorical variables were created for age, household composition, and duration of fever and respiratory symptoms. Postal addresses were geo-coded before conversion to deprivation quintiles using data produced by the Australian Bureau of Statistics [17] .

Statistical analysis was performed using SPSS 16.0.0 (SPSS Inc., Chicago, IL). After initial univariate analysis, variables were analyzed simultaneously within both groups (demographic factors and symptoms) by forced entry into a multivariable logistical regression model. Factors found to be significant (P < .05) at the group stage were then entered into a model encompassing both groups. Various definitions of ILI were then constructed based on the significant predictors of influenza infection. Sensitivity, specificity, and positive predictive value (PPV) and negative predictive value (NPV) and their respective binomial 95% confidence intervals (CIs) were then calculated. In addition, positive and negative likelihood ratios (LR+ and LR-) were also calculated. Ninety-five percent CIs for likelihood ratios were calculated in the manner described by Simel et al [18] .

New ILI definitions were compared with definitions used by the CDC ( presence of fever (100 o F [37.8°C ]) and a cough and/or sore throat in the absence of a known cause other than influenza [5] ) and parents' response to the questionnaire question: "Do you think your child has influenza ('flu')?"

Nine hundred and forty-four subjects were recruited (315 subjects in 2008 and 629 subjects in 2009). The majority were recruited within the hospital setting (General Practice, 153 subjects; EDs, 619 subjects; inpatient wards, 172 subjects). Twenty-five subjects were withdrawn (specimens not processed, 8; invalid consent, 8; incorrect age, 3; other, 6), resulting in a total sample population of 919. Altering the eligibility criteria in 2009 did not result in any additional recruits that were ineligible by 2008 criteria: 17 subjects had a temperature recorded >37.5°C yet <37.8°C; however, all of these subjects also had a history of fever within the previous 72 hours.

Respiratory viruses were identified in 711 subjects (77.4%). Rhinovirus (n = 239), RSV (n = 210), and influenza virus (n = 179) were most frequently detected. Of those in whom influenza was detected, 131 had influenza A (including 97 subtyped as influenza A/H1N1 2009) and 48 had influenza B. Cultures proved positive for 59% (77 of 131) of those with influenza A and 58% (28 of 48) of those with influenza B. Influenza was detected in 23.5% (74 of 315) of recruits in 2008, compared with 17.4% (105 of 604) of eligible recruits in 2009 (P = .03).

The median age was 22 months and 526 of 919 (57%) were male. Chronic comorbidities were uncommon: 140 children (15%) had a comorbid condition, of which asthma was the most common (89 of 919, 10%). Premature births (<37 weeks gestation) accounted for 122 of 919 (13%) subjects. Nearly one-half of all children enrolled (430 of 919, 47%) had received the recommended schedule for seasonal influenza vaccination (ie, 2 doses of TIV in the first year of vaccination followed by 1 dose in subsequent years [19] ) with a further 126 of 919 (14%) having received 1 dose in total ( Table 1) .

The most common symptoms reported by parents were cough (794 of 919, 86%), coryza (801 of 919, 87%), poor feeding (686 of 919, 75%), sleep disturbance (657 of 919, 71%), and irritability (607 of 919, 66%), although wheeze and respiratory distress were less prevalent (410 of 919, 45% and 413 of 919, 45%, respectively) ( Table 2 ). For those that tested positive for influenza, the average temperature at enrollment was 39.5°C (range, 37-43.0; standard deviation . Five hundred and ninety-eight parents recorded a response to the question, "Do you think your child has influenza ('flu')?" Seventy-eight of the 333 (23%) answering "yes" proved positive for influenza, whereas 24 of the 265 (9%) answering "no" were positive for influenza (P < .001).

Age >2 years, lack of TIV, lower birth weight, sharing a home with 2 or more other children, and being cared for by a single adult were significant demographic predictors of influenza infection on univariate analysis (Table 3) . With the exception of the number of adult household members, all of these variables were significant when entered simultaneously within this group, and so they were entered into the final model. The symptoms that were significant univariate predictors of influenza infection were as follows: raised temperature, fever for >3 days, presence of cough, absence of wheeze, respiratory distress, and rash. Fever, presence of cough, and absence of wheeze remained significant when entered simultaneously within the symptom group, and so they were retained for the final model. With the exception of number of children in the house, all variables entered into the final model remained significant (see Table 3 ).

Based on the results of the regression equation, ILI was defined in this population using various combinations of the following criteria: presence of cough, absence of wheeze, and incremental thresholds of fever (See Figure 1 and Table 4 ). A complete data set for each of these variables was available for 798 cases, which were used for subsequent calculations of the performance of ILI definition. The presence of cough alone was highly sensitive (93%; 95% CI, 84-96) yet lacked specificity in diagnosing influenza infection (14%; 95% CI, [12] [13] [14] [15] [16] [17] . If the definition of ILI comprised cough and the absence of wheeze, sensitivity was reduced (60%; 95% CI, 52-68) but specificity improved (59%; 95% CI, 55-63). The addition of fever 38°C to this definition resulted in a small The above analyses were repeated with data stratified according to vaccination status (no TIV vs any TIV) and age group (2 years vs >2 years) (see supplementary digital content). The observed PPVs in the unvaccinated group were significantly greater than the vaccinated group. Subgroup analysis of each vaccination group stratum by year of illness was undertaken with no appreciable difference noted (data not shown). For those 2 years, an ILI definition that included fever 38°C, cough, and the absence of wheeze had a significantly lower sensitivity and PPV and a higher specificity compared with those >2 years. The reliability of parental opinion was unaffected by vaccination status or age group of child.

Young children and infants with seasonal influenza can present with a wide variety of symptoms and may not yet be developmentally capable of verbalizing symptoms to their caregivers [20] . Current definitions of ILI are largely derived from adult studies and lack validation within the pediatric setting [5] [6] [7] . Fever is a common presenting symptom for young children with influenza. When all children with acute respiratory illness (irrespective of presence or absence of fever) are tested, 95% of those who test positive for influenza had a history of fever [21, 22] . Systematic review of the literature has failed to find any particular combination of additional symptoms that can reliably predict influenza infection [8] . Only 2 studies in this systematic review enrolled preschool children: in 1 study, 18 of 610 cases with fever and respiratory illness were <5 years old [9] , whereas the other did not stratify by age [10] . Later, Ohmit and Monto [11] reported a PPV of 64% in a subset of 221 children <5 years old presenting with cough and fever (>38.2°C). The generalizability of these figures is limited, however, because the study design excluded children with RSV infection, which would have falsely elevated the incidence of influenza infection in the study population [11] . A further prospective pediatric study assessing the predictive nature of an ILI diagnosis in children with fever and symptoms suggestive of respiratory infection (n = 128; age <17 years) did not stratify results by age, making it less generalizable to younger children [12] . This study recruited young children presenting with acute respiratory symptoms during 2 successive winter influenza seasons, which included the first wave of pandemic influenza A/H1N1 2009. In this population, we have found that an existing ILI definition in common usage (CDC definition) proved highly sensitive yet lacked specificity in identifying those with influenza infection. A surveillance system that uses this ILI definition in isolation would therefore grossly overestimate influenza prevalence by virtue of the large number of false positives generated. In contrast, we found that an ILI definition comprising fever 38°C, cough, and absence of wheeze achieved a greater balance between sensitivity and specificity in the study population.

However, ILI was a poor predictor of influenza infection regardless of which definition was tested. Children with ILI had a 20%-30% probability of actually having influenza infection, whereas those without ILI (regardless of definition tested) had a 10%-15% probability of testing positive for influenza. Each definition tested had positive and negative likelihood ratios approaching 1, indicative of little appreciable change in the odds of an individual having disease if they met ILI definition criteria or not. Furthermore, parental prediction of influenza infection in their children compared favorably with use of an ILI definition, underlining the poor diagnostic accuracy of ILI overall. Decisions regarding the investigation and management of children suspected of having influenza take into account a number of factors, including the known incidence of influenza at that time, the likelihood of severe disease, and the availability of antiviral medication [2] . However our findings would suggest that, due to the inaccuracy of syndromic definitions, clinicians should maintain a low threshold for influenza testing in children with possible influenza. This is especially important for children with moderate to severe illness and/or those requiring hospitalization. Similarly, diagnostic testing is required to obtain accurate influenza surveillance in young children. Ideally, this should include testing by highly sensitive and specific methods such as PCR, although immunofluorescent antigen detection tests are sufficiently sensitive for use on nasopharyngeal aspirates. The rapid antigen tests have been used in some studies [23, 24] , but they are less sensitive than laboratorybased tests (especially for influenza A/H1N1 2009); their performance is influenced by specimen type, test brand used, and the virus type and subtype; and they do not identify influenza A subtypes. These tests have been successfully incorporated into public health influenza surveillance systems in the past [25] ; however, they need to be reassessed now that influenza A/H1N1 2009 is circulating.

The eligibility criteria for our study included a history of fever. This methodology is similar to a number of previous studies [9] [10] [11] [12] and highlights the need for external validation of any clinical predictor tool that is intended to be used in unselected populations. However, our findings remain relevant to the general pediatric population given that the vast majority of children with influenza present with fever [21, 22] . The diagnostic accuracy of ILI differed between those vaccinated and those unvaccinated (reflecting the lower prevalence of influenza in those who were vaccinated). The pediatric population studied had high vaccination rates with TIV as a result of a state-wide campaign introduced in 2008 that provides free seasonal influenza vaccination to this age group. The high prevalence of influenza vaccination in our study population contributes to the generalizability of our findings to other countries where influenza vaccination is readily available to children <5 years of age. The reliability of ILI as defined by fever (38°C), cough, and absence of wheeze was age dependent, with less sensitivity and greater specificity in those 2 years of age or younger. This is a reflection of proportionally higher numbers of children 2 years old with wheeze irrespective of influenza status (data not shown), presumably as a result of a bronchiolitic-type illness. This age-dependent manifestation of influenza infection further highlights the problems inherent in applying adult-derived ILI definitions to the pediatric population. Because the presence of wheeze was determined by the parents, the calculated prevalence is likely to be different from one based on a clinical definition [26] . However, because this bias is constant between those who tested positive for influenza and those who were negative, it is not expected to have affected the results. Also, in practice, assessing children with an ILI usually relies on parental history as well as clinical findings, making our findings relevant to real-life circumstances.

To our knowledge, this is the first study attempting to construct a definition of ILI for children aged 5 years and under using prospectively gathered data from a general pediatric population presenting with symptoms suggestive of acute respiratory tract infection. We have demonstrated that when predicting influenza infection in younger children, an ILI definition constructed using age-specific data and comprising presence of fever (38°C), cough, and absence of wheeze results in a greater balance between sensitivity and specificity compared with a definition of ILI used by current surveillance systems. The diagnostic accuracy of influenza virus surveillance systems would be enhanced by developing age-specific ILI definitions aimed at the pediatric age group and/or by incorporating diagnostic testing into the system.

Author contributions. N. T. C. and Z. V. W. analyzed the data and revised the manuscript. P. C. R., D. W. S., A. D. K., S. W., H. K., D. C., and P. V. E. devised the WAIVE study and revised the manuscript. C. C. B. supervised the present study, analyzed the data, and revised the manuscript.

Financial support. The WAIVE study is funded by the Western Australia Department of Health.

Potential conflicts of interest. N. T. C., P. C. R., and C. C. B. are members of the Vaccine Trials Group, Telethon Institute for Child Health Research. The Vaccine Trials Group has received funding from vaccine manufacturers for conducting clinical trials, although not in relation to this study. P. C. R. has served on a scientific advisory board regarding influenza vaccines for CSL Ltd., has received travel support from Baxter and GlaxoSmithKline to present at scientific meetings, and received Institutional funding for investigator-led

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epidemiological research from GlaxoSmithKline and CSL Ltd. D. W. S. is a director of 2 not-for-profit organizations (the Influenza Specialist Group and the Asia-Pacific Alliance for the Control of Influenza) that receive funding from vaccine manufacturers. All other authors report no potential conflicts.All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

