Literature DB >> 28960732

Estimated rates of influenza-associated outpatient visits during 2001-2010 in 6 US integrated healthcare delivery organizations.

Hong Zhou1, William W Thompson1, Edward A Belongia2, Ashley Fowlkes1, Roger Baxter3, Steven J Jacobsen4, Michael L Jackson5, Jason M Glanz6, Allison L Naleway7, Derek C Ford1, Eric Weintraub1, David K Shay1.   

Abstract

BACKGROUND: Population-based estimates of influenza-associated outpatient visits including both pandemic and interpandemic seasons are uncommon. Comparisons of such estimates with laboratory-confirmed rates of outpatient influenza are rare.
OBJECTIVE: To estimate influenza-associated outpatient visits in 6 US integrated healthcare delivery organizations enrolling ~7.7 million persons.
METHODS: Using negative binomial regression methods, we modeled rates of influenza-associated visits with ICD-9-CM-coded pneumonia or acute respiratory outpatient visits during 2001-10. These estimated counts were added to visits coded specifically for influenza to derive estimated rates. We compared these rates with those observed in 2 contemporaneous studies recording RT-PCR-confirmed influenza outpatient visits.
RESULTS: Outpatient rates estimated with pneumonia visits were 39 (95% confidence interval [CI], 30-70) and 203 (95% CI, 180-240) per 10 000 person-years, respectively, for interpandemic and pandemic seasons. Corresponding rates estimated with respiratory visits were 185 (95% CI, 161-255) and 542 (95% CI, 441-823) per 10 000 person-years. During the pandemic, children aged 2-17 years had the largest increase in rates (when estimated with pneumonia visits, from 64 [95% CI, 50-121] to 381 [95% CI, 366-481]). Rates estimated with pneumonia visits were consistent with rates of RT-PCR-confirmed influenza visits during 4 of 5 seasons in 1 comparison study. In another, rates estimated with pneumonia visits during the pandemic for children and adults were consistent in timing, peak, and magnitude.
CONCLUSIONS: Estimated rates of influenza-associated outpatient visits were higher in children than adults during pre-pandemic and pandemic seasons. Rates estimated with pneumonia visits plus influenza-coded visits were similar to rates from studies using RT-PCR-confirmed influenza. Published 2017. This article is a U.S. Government work and is in the public domain in the USA. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd.

Entities:  

Keywords:  electronic health records; human; influenza; office visits; statistical models

Mesh:

Year:  2018        PMID: 28960732      PMCID: PMC5818343          DOI: 10.1111/irv.12495

Source DB:  PubMed          Journal:  Influenza Other Respir Viruses        ISSN: 1750-2640            Impact factor:   4.380


INTRODUCTION

Influenza infections are responsible for substantial morbidity during most seasons.1, 2, 3, 4, 5, 6, 7 Influenza‐associated illnesses are difficult to count because symptoms are non‐specific, diagnostic codes associated with influenza‐related symptoms are broad, and sensitive and specific laboratory testing for influenza is not routine. Many studies have estimated rates of serious complications of influenza infections—including hospitalizations and deaths—with statistical models.1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 Modeling these outcomes is routine because severe influenza sequelae are uncommon, and confirmation of infection in such patients may be difficult, even with modern diagnostics. By contrast, influenza‐associated outpatient visits are plentiful, so rates of laboratory‐confirmed visits should be easier to document. However, relatively few studies have made population‐based estimates of influenza‐confirmed outpatient visit rates.12, 13, 14, 15, 16, 17 Most have focused on children, typically in a single site.12, 14, 15, 16, 17 Often, few influenza‐confirmed cases are reported (range, 90‐372),12, 13, 15, 17 resulting in wide confidence intervals (CIs) around rate estimates. While a key characteristic of influenza is season‐to‐season variability in intensity and severity, most studies have focused on a few seasons,12, 13, 17, 18 or reported summary estimates from multiple seasons.14, 15, 16 Finally, studies testing for influenza per protocol are not common,12, 13, 15, 17 as prospective studies are resource‐intensive. Thus, such studies are rarely conducted in large populations including persons of all ages, in multiple sites, or during multiple influenza seasons. The 2009 influenza A(H1N1) pandemic highlighted a lack of US population‐based rates of medically attended influenza‐associated illnesses. The Centers for Disease Control and Prevention (CDC) and National Institute of Health estimated pandemic‐associated illnesses, hospitalizations, and deaths,19, 20, 21, 22 but few estimates of the incidence of influenza‐like outpatient illnesses associated with H1N1pdm09 infection are available.23 Without consistently made estimates of influenza‐related outpatient visits, the complete health burden of influenza cannot be established. We used electronic health data from 6 integrated healthcare delivery organizations (hereafter, sites) participating in the CDC‐funded Vaccine Safety Datalink (VSD) project to estimate rates of influenza‐associated outpatient visits. Our analysis included the 2009 pandemic and the 8 preceding influenza seasons. We compared several estimates of influenza‐associated outpatient rates with those derived from 2 concurrently conducted studies testing for influenza with reverse‐transcription polymerase chain reaction (RT‐PCR) assays.

METHODS

Study population

The VSD was established in 1990 to monitor vaccine safety in the US childhood immunization program.24, 25 It has since expanded in size and scope. Currently, there are 8 participating integrated healthcare delivery systems that enroll about 10 million persons of all ages, or ~3% of the US population. Standardized data files with demographic information, enrollment history, healthcare utilization, and mortality data are maintained at each participating site, and accessed via a distributed data model to ensure confidentially; data quality checks are performed weekly to evaluate the quality of vaccination and medical encounter data.26 An assessment of possible differences between the insured VSD population and the overall US population found no substantial differences by sex, race, ethnicity, or educational attainment; adults aged 55 through 64 years were slightly over‐represented in VSD data.27 A review of active vaccine adverse event detection systems noted the pioneering role of the VSD, how it has served as a model for systems in other countries, and its continuing innovation in data management and study design.28 Individuals enrolled in 6 VSD sites during 2001‐10—Kaiser Permanente Northern California, Kaiser Permanente Colorado, Kaiser Permanente Northwest (Oregon), Kaiser Permanente Southern California, Marshfield Clinic, and Group Health Cooperative—constituted the study population. Study data included demographic and medical information for each enrollee, including age, sex, enrollment dates, vaccination dates, and International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) diagnosis codes assigned to medical encounters, including those in outpatient settings. Outpatient settings included clinics, urgent care clinics, and emergency departments.

Human subjects

Institutional review boards at each of the 6 sites reviewed and approved the study protocol.

Viral surveillance data

Viral data from WHO Collaborating laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories located within the 3 US regions (East North Central, Mountain, and Pacific) that contained the study sites were collected from 2001‐02 through 2009‐10. Laboratories reported weekly the number of influenza tests performed and the number positive for A(H1N1), A(H3N2), and B viruses. The first positive test for A(H1N1)pdm09 was reported during the week ending April 25, 2009,29 when seasonal influenza isolates were still predominant. A(H1N1)pdm09 became the predominant virus during week 17, ending May 2, 2009. We defined the pandemic as beginning week 17 of 2009, and ending week 26 of 2010. Weekly respiratory syncytial virus (RSV) data were obtained from NREVSS laboratories during the study period. There were 69‐238 hospital‐based, public health, and free‐standing laboratories located in 38‐47 states. They reported weekly the number of specimens tested for RSV by antigen detection and viral isolation methods and the number of positive results.30

ICD‐9‐CM‐coded outpatient visits

We analyzed weekly outpatient visits listing ICD‐9‐CM codes for pneumonia (480‐486), influenza (487‐488), or respiratory diseases (460‐519). If a patient had 2 or more visits listing a code of interest within 7 days, then only the first visit was used in analyses. Data were stratified into 5 age groups (<2, 2‐17, 18‐49, 50‐64, and ≥65 years) for comparison purposes.

Models for estimating influenza‐associated outpatient visits

We fit age‐ and site‐specific negative binomial regression models to weekly outpatient visits coded for pneumonia or respiratory diseases.5, 6, 7 We considered visits coded specifically for influenza to represent acute influenza infections; thus, visits listing 487‐488 were not included in regression models. Data for the proportions of specimens testing positive by week for A(H1N1), including H1N1pdm09 and seasonal H1N1, A(H3N2), and B viruses, were included in all models. A model can be summarized as: where Y age,site(i) was the predicted number of outpatient visits by age group and site during week i; α was the offset term, equal to the natural log of the population size for each age group and site; and β5 through β8 represented coefficients associated with a standardized estimate of the proportions of specimens testing positive for influenza or RSV during a given week in the region corresponding to a site.7 To estimate influenza‐associated pneumonia or respiratory, we started with visits predicted by a full model incorporating all viral terms and those predicted by a model in which an influenza covariate was set to 0, as previously described.7 Weekly site‐ and age‐specific numbers of estimated influenza‐associated outpatient visits for each site were the sum of predicted pneumonia or respiratory visits and visits coded specifically for influenza. Annual age‐specific incidence estimates were calculated as the sum of estimated outpatient visits in that age group divided by the sum of enrollments from the 6 participating sites. We estimated 95% confidence intervals (CIs) for each rate using 2.5th and 97.5th percentiles from a distribution derived from 10 000 bootstrap simulations.31

Comparisons of estimated influenza‐associated outpatient visits with RT‐PCR‐confirmed influenza rates

To check the validity and precision of rates estimated as described above, we compared them with rates derived in 2 studies that tested outpatients for influenza infection using RT‐PCR. Marshfield Clinic rate estimates were compared with rates obtained using data from annual influenza vaccine effectiveness (VE) studies conducted there.32, 33 In VE studies, patients presenting with acute respiratory symptoms were approached for enrollment; if consented, a respiratory specimen was collected and tested with CDC‐approved real‐time RT‐PCR assays. Data on RT‐PCR‐confirmed influenza visits were available among persons aged ≥50 years from 2005‐06 through 2009‐10; similar data were not available from other sites. Our pandemic rates were compared with those derived from a US influenza surveillance system, the Influenza Incidence Surveillance Project (IISP). IISP began during the 2009 pandemic. It conducted influenza surveillance in 38 outpatient practices in Florida, Iowa, Minnesota, North Dakota, Utah, and Wisconsin and New York City.22 Estimates of the incidence of influenza‐confirmed influenza‐like illness (ILI) outpatient visits among 272 642 outpatients were made from October 2009 through July 2012. The number of influenza‐associated ILI cases each week was estimated by multiplying the proportion of ILI visits testing positive for influenza by RT‐PCR and the number of ILI patient visits reported during each week. Incidence rates were calculated by dividing numbers of influenza‐associated ILIs by age‐specific denominators representing the outpatient practice population.23

RESULTS

From 2001‐02 through 2008‐09, an annual mean of 31 092 specimens (range, 20 145‐48 798) was tested for influenza in US regions that included the participating sites (Table 1). Of these, 16.5% tested positive for non‐pandemic viruses. By type and subtype, these proportions were 3.6%, 8.7%, and 4.2% for A(H1N1), A(H3N2), and B viruses, respectively. A total of 171 545 specimens were tested during the pandemic period, and 48 005 (28.0%) tested positive for A(H1N1)pdm09 virus.
Table 1

Annual influenza surveillance virus data for pre‐pandemic (2001‐02 through 2008‐09) and pandemic seasons in 3 US regionsa

SeasonYearsNo. of specimens TestedPositive tests for non‐pandemic virusesPositive tests for A(H1N1)pdm09 virus
A (H1N1)A (H3N2)BTotal
N%N%N%N%N%
Non‐pandemic2001‐0221 453580.3263612.37443.5343816.0
2002‐0320 14515197.56023.08194.1294014.6
2003‐0430 88200.0527317.1580.2533117.3
2004‐0532 17240.0323110.020316.3526616.4
2005‐0632 5761220.4358211.011513.5485514.9
2006‐0748 79821014.320224.19862.0510910.5
2007‐0835 29419635.631138.823946.8747021.2
2008‐0927 415299710.99693.519187.0588421.5
Annual mean31 09210953.626798.712634.2503716.5
Pandemic2009‐10171 5457640.425211.56630.439482.348 00528.0

The East North Central, Mountain, and Pacific US regions in which the 6 participating health systems provided care.

Annual influenza surveillance virus data for pre‐pandemic (2001‐02 through 2008‐09) and pandemic seasons in 3 US regionsa The East North Central, Mountain, and Pacific US regions in which the 6 participating health systems provided care. The 6 sites enrolled ~7.7 million persons annually during the study period. An annual mean rate of 28 (95% CI, 18‐53) outpatient visits per 10 000 person‐years was coded specifically for influenza (Table 2). For pneumonia/influenza and respiratory outpatient visits, the annual mean rates were 231 (95% CI, 206‐374) and 4846 (95% CI, 4597‐6205) visits per 10 000 person‐years, respectively. The highest annual mean rate of influenza visits occurred among persons aged 2‐17 years (46, 95% CI, 32‐98); the lowest rate occurred among persons aged ≥65 years (10, 95% CI, 6‐22). Rates for pneumonia/influenza and respiratory outpatient visits were highest among children aged <2 years (676, 95% CI, 588‐968, and 15 385, 95% CI, 13 696‐17 673, respectively), and were lowest among persons aged 18‐49 years (110, 95% CI, 93‐191, and 3819, 95% CI, 3597‐4963, respectively).
Table 2

Annual rates of outpatient visits per 10 000 person‐years for 3 categories of respiratory illnesses, by age group, among 6 US healthcare delivery systems

SeasonYearAge group (y)
<22‐1718‐4950‐64≥65All ages
Rate95%CIRate95%CIRate95%CIRate95%CIRate95%CIRate95%CI
Influenzaa
Non‐pandemic2001‐0228131172815801984213624641618942
2002‐03241078341390176291141852918739
2003‐049049334623314734176925115418951371987
2004‐0529141372916107221279189609433211172
2005‐063526894526972415381811269515251544
2006‐073324604541742220351512226411232135
2007‐0859431257063105634789453258161231534271
2008‐09262149514685292139181324759282336
Annual mean412512446329829185320123610622281853
Pandemic2009‐1027623750132531043116614019810583126403149173154207
Pneumonia and influenza
Non‐pandemic2001‐02605512101826623644610378202197165331427362800216187390
2002‐036065099382542133819279164189165323423351812208181372
2003‐04696588115428726139211389205212173362462378853237208411
2004‐05650553104229825745210284232203169397441365826230195429
2005‐06771674959360324421115106180222198326463389696258242364
2006‐0770560788628624536410395161200179289418357672225207339
2007‐087877031051324288455154132237252217334452374696272247400
2008‐095915586972682503359679144175142254349289549200179291
Annual mean67658896829325940611093191206176327430358738231206374
Pandemic2009‐101214113614397657278502912483873682994886645061009481431617
Respiratory diseases
Non‐pandemic2001‐0217 64615 03220 971635458608221376035245011427040565259432339786441482046076097
2002‐0317 26914 51620 494620454907469393937824894444742025696459339737781491346206514
2003‐0415 81113 55818 607546949466459375935374982436140165906480241098115465944236158
2004‐0515 20713 19717 733554549607238374534795400444141456132497943208637469643446556
2005‐0615 56714 00817 688591954077423394637325123466944685820524646647806495346716335
2006‐0715 07913 90516 473531450366835385237094908487546705685571850197657489946476238
2007‐0814 84414 20416 166549751317247419738925035556252625802660857048267536151656328
2008‐0911 65711 15213 254474044155972335531244350461243195165573348556871446642985412
Annual mean15 38513 69617 673563051557108381935974963465543925683525045787697484645976205
Pandemic2009‐1016 46915 81517 96274466996900953135016689572756560867811 541966914 098728368808806

Rate is calculated as the sum of estimated outpatient visits divided by the sum of enrollments from 6 participating sites.

CI, denotes confidence interval generated by bootstrap simulation.

Specific ICD‐9‐CM codes for influenza, pneumonia, and respiratory illness categories provided in the Methods.

Annual rates of outpatient visits per 10 000 person‐years for 3 categories of respiratory illnesses, by age group, among 6 US healthcare delivery systems Rate is calculated as the sum of estimated outpatient visits divided by the sum of enrollments from 6 participating sites. CI, denotes confidence interval generated by bootstrap simulation. Specific ICD‐9‐CM codes for influenza, pneumonia, and respiratory illness categories provided in the Methods. During the 2009 pandemic, rates for influenza, pneumonia/influenza, and respiratory visits were 173 (95% CI, 154‐207), 481 (95% CI, 431‐617), and 7283 (95% CI, 6880‐8806) per 10 000 person‐years, respectively (Table 2). The highest rates for outpatient visits coded for influenza occurred in children aged 2‐17 years, followed by children aged <2 years; the lowest rates occurred among persons aged ≥65 years. Rates for pneumonia/influenza and respiratory outpatient visits were highest among children aged <2 years, followed by persons aged 2‐17 years or 65 years and older, while the lowest rate was among adults aged 18‐49 years.

Estimates of influenza‐associated outpatient visits

Among persons of all ages, the annual mean rate of influenza‐associated visits estimated with models using pneumonia‐coded visits was 39 (95% CI, 30‐70) per 10 000 person‐years during 2001‐02 through 2008‐09. It was 203 (95% CI, 180‐240) per 10 000 person‐years during the 2009 pandemic (Table 3). During non‐pandemic and pandemic seasons, rates were higher among younger persons. In pre‐pandemic seasons, the highest rate was 67 (95% CI, 49‐164) per 10 000 person‐years in children aged <2 years. The lowest rate was 25 (95% CI, 20‐48) for persons aged ≥65 years. The highest rate during the pandemic was 381 (95% CI, 366‐481) in children aged 2‐17 years; the lowest rate was 63 (95% CI, 56‐86) per 10 000 person‐years for individuals aged ≥65 years. We found variability by site as well as by age group in estimated rates, but as no consistent patterns of geographic variability were noted (Table S1), we focused on the clear variability in rates by age group.
Table 3

Annual rates of influenza‐associated outpatient visits per 10 000 person‐years estimated with negative binomial regression models, by age group, among 6 US healthcare systems

SeasonYearAge groups (y)
<22‐1718‐4950‐64≥65All
Rate95%CIRate95%CIRate95%CIRate95%CIRate95%CIRate95%CI
Pneumonia and Influenzaa
Non‐Pandemic2001‐0263461764636101241352231542272254302162
2002‐0341271175436123231339201533171431291956
2003‐041238337478501573820763318663725834829101
2004‐0556371824935137291992302180282068342494
2005‐0671621256449116292046282140282342372758
2006‐07564582605590262341221829161423312945
2007‐0890671979685140705699574772332861675994
2008‐093327626355101332543242029131122343046
Annual mean67491646450121342461302249252048393070
Pandemic2009‐10302259543381366481186155222131103159635686203180240
Respiratory diseases
Non‐pandemic2001‐02352285517395341451141115212136122187796599191170247
2002‐03197164411437408591156140245127972185638129197180298
2003‐0437733854323116129699491541006513676559713084175
2004‐052972107155645097271921613481861343289358141256219384
2005‐06302271387336304381134112181140128159887094173155202
2006‐0716816020121919827996821409078112544867115103147
2007‐0826121551154451673223521437022117631711775182277258388
2008‐099775242278266347118106180109691715927112139123197
Annual mean2562154413753384761461222291391092047854115185161255
Pandemic2009‐104603677639548171108505414751410297758219116697542441823

Rate is calculated as the sum of estimated outpatient visits divided by the sum of enrollments from 6 participating sites.

CI, denotes confidence interval generated by bootstrap simulation.

Specific ICD‐9‐CM codes for influenza, pneumonia, and respiratory illness categories provided in the Methods.

Annual rates of influenza‐associated outpatient visits per 10 000 person‐years estimated with negative binomial regression models, by age group, among 6 US healthcare systems Rate is calculated as the sum of estimated outpatient visits divided by the sum of enrollments from 6 participating sites. CI, denotes confidence interval generated by bootstrap simulation. Specific ICD‐9‐CM codes for influenza, pneumonia, and respiratory illness categories provided in the Methods. The annual mean rate of influenza‐associated visits estimated with models using respiratory‐coded visits was 185 (95% CI, 161‐255) per 10 000 person‐years during pre‐pandemic seasons and 542 (95% CI, 441‐823) per 10 000 person‐years during the pandemic (Table 3). During non‐pandemic seasons, the highest rate was 375 (95% CI, 338‐476) per 10 000 person‐years in children aged 2‐17 years, while the lowest rate was 78 (95% CI, 54‐115) in persons aged ≥65 years. Similarly, during the pandemic, the highest rate was in children aged 2‐17 years and the lowest rate was in persons aged ≥65 years. Age‐specific rates during the pandemic and pre‐pandemic seasons and incidence rate ratios are provided in Figure 1 for estimates made with pneumonia‐coded (Panel A) or respiratory‐coded (Panel B) visits. Substantial increases occurred during the pandemic, most prominently among younger persons. For estimates made with pneumonia visits, the pandemic‐to‐pre‐pandemic ratios were 5.5, 6.0, and 4.5 among persons aged 18‐49 years, 2‐17 years, and <2 years, respectively. The lowest ratio was 2.6, among persons aged ≥65 years. For estimates made with respiratory visits, a substantial increase in outpatient rates during the pandemic was also noted, although it was smaller. The greatest pandemic/pre‐pandemic ratio was 3.5 among persons aged 18‐49 years (Panel B).
Figure 1

Estimated rates of outpatient visits in 6 US healthcare delivery organizations (by age group) per 10 000 person‐years (left y‐axis) for influenza‐associated pneumonia and influenza (Panel A) and respiratory diseases (Panel B); and pandemic‐to‐pre‐pandemic rate ratios (right y‐axis): solid line, rate ratio; dashed line, pandemic rate; and dotted line, pre‐pandemic rate

Estimated rates of outpatient visits in 6 US healthcare delivery organizations (by age group) per 10 000 person‐years (left y‐axis) for influenza‐associated pneumonia and influenza (Panel A) and respiratory diseases (Panel B); and pandemic‐to‐pre‐pandemic rate ratios (right y‐axis): solid line, rate ratio; dashed line, pandemic rate; and dotted line, pre‐pandemic rate

Rate comparisons

Our estimates of influenza‐associated outpatient visits among persons aged ≥50 years at Marshfield Clinic were similar to rates of RT‐PCR‐confirmed influenza visits calculated with VE study data (Table 4). Rates of RT‐PCR‐confirmed influenza visits each season fell within the 95% CIs of our model‐based estimates in 4 of 5 seasons. During the mild 2005‐06 season, our estimated rate made with pneumonia visits was significantly greater than the rate from the VE study. During the pandemic, rates estimated with pneumonia were similar to rates of RT‐PCR‐confirmed Influenza among subjects enrolled in the IISP. Figure 2 plots our estimated weekly rates and weekly rates of influenza‐associated ILI from IISP. The timing, peak, and magnitude of these rates were consistent among both children aged 0‐17 years and adults aged 18 and older.
Table 4

Annual influenza‐associated outpatient visits per 10 000 persons aged ≥50 y at Marshfield Clinic, estimated (i) using negative binomial models with pneumonia and influenza data; and (ii) using RT‐PCR‐confirmed influenza outpatient visits in annual influenza vaccine effectiveness studies

SeasonNegative binomial model‐based estimatesRT‐PCR‐based estimates
95% confidence intervals
EstimateLowera Upper
2005‐0634.727.6119.020.3
2006‐0724.323.0105.028.5
2007‐08125.7108.3241.9150.5
2008‐0921.421.494.125.8
2009 (weeks 40‐44)40.340.352.739.9

The lower confidence limit is defined by a rate established by visits listing the ICD‐9‐CM code for influenza.

Figure 2

Estimated weekly rates of outpatient visits per 10 000 persons for influenza‐associated pneumonia and influenza in 6 US healthcare delivery organizations participating in the Vaccine Safety Datalink (VSD) and for influenza‐associated influenza‐like illness outpatient visits from in the Influenza Incidence Surveillance Project (IISP), from October (week 40) 2009 through April (week 20) 2010

Annual influenza‐associated outpatient visits per 10 000 persons aged ≥50 y at Marshfield Clinic, estimated (i) using negative binomial models with pneumonia and influenza data; and (ii) using RT‐PCR‐confirmed influenza outpatient visits in annual influenza vaccine effectiveness studies The lower confidence limit is defined by a rate established by visits listing the ICD‐9‐CM code for influenza. Estimated weekly rates of outpatient visits per 10 000 persons for influenza‐associated pneumonia and influenza in 6 US healthcare delivery organizations participating in the Vaccine Safety Datalink (VSD) and for influenza‐associated influenza‐like illness outpatient visits from in the Influenza Incidence Surveillance Project (IISP), from October (week 40) 2009 through April (week 20) 2010

DISCUSSION

We estimated influenza‐associated outpatient visit rates in 6 US healthcare organizations enrolling ~7.7 million persons and found that rates were greater among children and young persons during pre‐pandemic and pandemic influenza seasons. The 2009‐10 pandemic was associated with significant increases in rates of influenza‐associated outpatient visits in each of 5 age groups when compared with rates from preceding seasons. These increases were most pronounced in children, as expected. This pattern of results is consistent with findings from studies of hospitalizations and deaths. One study estimating laboratory‐confirmed US hospitalizations during the 2009‐10 pandemic22 found that the overall ratio of pandemic to seasonal hospitalizations was 1.7, whereas among persons aged 18‐64 years, the ratio was 4.0, and among children aged 0‐17 years, it was 7.4. Among persons aged ≥65 years, rates of hospitalizations and deaths during the pandemic22, 34 were low when compared with seasonal influenza‐associated outcomes.5, 6, 7 Viboud et al20 suggested that the mean age at death of 37 years during the 2009‐10 pandemic meant that the estimated years of life lost during 2009 alone exceeded those lost during the 1968 pandemic, when the mean age at death was 62 years. Cross‐protective immunity in older persons from prior infections with H1N1 viruses more closely related antigenically to the pandemic strain than H1N1 viruses circulating since 1977 contributed to these findings.35 We estimated influenza‐associated outpatient visits by adding influenza‐coded visits to model‐based estimates of influenza‐associated visits in 2 categories: a more restrictive category of outpatient visits coded for pneumonia, and a broader category of visits coded for acute respiratory illnesses. Both categories have been used in studies modeling the burden of influenza‐related illnesses.5, 6, 7, 16, 17 It is likely that use of the pneumonia category underestimates the outpatient burden of influenza, because influenza illnesses may be coded for with a variety of ICD‐9‐CM codes, including codes associated with bacterial infections, like bronchitis or sinusitis. It has been proposed that estimates of influenza‐associated pneumonia deaths represent a lower bound of the range of deaths related to influenza infections,6, 20 because influenza‐related deaths may represent exacerbations of chronic pulmonary diseases as well. This rationale may also apply to less severe influenza‐associated medical encounters, and therefore, we also made estimates of all respiratory visits that may be related to influenza infections. Most modeling‐based estimates of serious influenza‐related outcomes (particularly of deaths) cannot be verified because a “gold standard” for laboratory‐confirmed late sequelae is lacking. By contrast, we compared our estimated outpatient rates with those made in 2 studies that prospectively enrolled and tested outpatients for influenza infection with RT‐PCR (ie, gold standard) methods. Our estimates of outpatient rates made using pneumonia‐coded visits in adults aged ≥50 years at Marshfield Clinic were compared with those derived from a series of annual VE studies conducted there. Our rates were statistically consistent with rates of RT‐PCR‐confirmed influenza visits during 4 of 5 seasons. During the mild 2005‐06 influenza season, when few patients enrolled in Marshfield's VE study,33 our model‐based estimate of 35 visits per 10 000 person‐years was significantly greater than the RT‐PCR‐confirmed estimate of 20 visits per 10 000 person‐years. There are several possible reasons for this finding. First, because of the relative paucity of influenza activity during 2005‐06, we may have attributed illnesses to influenza that were associated with other acute respiratory pathogens. Most patients tested for influenza with RT‐PCR at Marshfield Clinic were recruited by staff based on chief complaints of fever or respiratory symptoms, and not on the basis of ICD‐9‐CM diagnosis codes recorded after medical care. It is possible also that during milder influenza seasons, ICD codes may be less useful for identifying influenza cases. Based on these comparisons, we believe that future modeling studies should attempt to include more mild influenza seasons, as data from a broad range of seasons should permit better calibration of statistical models, and prevent possible overestimation of influenza‐mediated events. The second source of PCR‐confirmed data was limited to the pandemic season. Estimated rates based on pneumonia‐coded visits in the 6 participating sites were broadly consistent with rates of RT‐PCR‐confirmed influenza in the IISP study, which tested outpatients presenting with ILI.23 As the ILI syndrome likely does not detect all illnesses that may be associated with influenza infections, this PCR‐based estimate is conservative, suggesting that our pneumonia‐based estimates are also conservative. Data from studies using sensitive diagnostics among a more inclusive set of signs and symptoms of influenza would be helpful. More model‐based estimates of influenza‐associated outpatient visits should be compared with data from studies using RT‐PCR or other highly sensitive diagnostics. The generalizability of this study's findings (and its underlying models) is limited by the paucity of comparison data. For example, the pandemic season was unusual—increased healthcare utilization consistent with intense media coverage was noted in 1 study site36—and comparisons made then may not be applicable during interpandemic periods. In Marshfield, comparison data were available only for older adults. Overall, our results suggest that models developed for more severe influenza outcomes yield influenza outpatient rate estimates that appear consistent with rates calculated with data collected in protocol‐based studies using state‐of‐the‐art diagnostics. Our estimated rates of influenza‐associated outpatient are somewhat lower than rates reported in some other studies. Poehling et al17 reported that among children aged <2 years in 3 sites, the incidence of outpatient visits attributable to influenza among children was 280‐520 per 10 000 during 2002‐03 and 590‐1250 per 10 000 during 2003‐04. For the same age group, we estimated influenza‐associated respiratory visit rates were 197 per 10 000 and 377 per 10 000 in these 2 seasons, respectively. Besides the usual caveats regarding differences in study design affecting incidence estimates, it is possible that geographic differences in influenza activity also affected these comparisons. Poehling's study had 3 sites and ours 6; neither had the population size or geographic variation for its estimates to be interpreted as national in scope. We did find variation among our sites in estimated rates (Table S1); however, no clear age‐specific patterns of differences by geography were apparent. Although estimated rates may be difficult to compare because of differences in study design, populations studied, seasons included, and geography, rate ratios between age groups should be similar. Here our findings are consistent with those from other studies12, 14, 15, 16, 17, 23: Young children bear the brunt of the outpatient influenza burden. Finally, although our study included >7 million persons, a larger population than other US studies, all data were from integrated health systems. Thus, at least with respect to age, our population is unlikely to fully represent the US population.27 The generalizability of our findings to other US populations, like the uninsured and those covered by the Department of Veterans Affairs, may be more limited. In addition to the issues noted above, we acknowledge other limitations. While we did adjust for RSV activity by including a weekly term for this virus in all models, we could not consider the effects of other viral or bacterial respiratory pathogens on influenza estimates. Because RSV circulation often overlaps with influenza circulation and it is the leading cause of infectious respiratory disease among in young children,6, 37 we emphasized adjusting for regional RSV activity. Because the onset, duration, and intensity of influenza virus circulation vary geographically,38 aggregating virus surveillance data by the US region of each site may not adequately capture the variability in timing of influenza virus circulation. Few studies have estimated annual rates of laboratory‐confirmed influenza outpatient visits. None cover the full age spectrum, include many influenza seasons, and represent national‐level populations. Because prospective studies that consent and enroll subjects are resource‐intensive, we suggest that modeling methods similar to those used here deserve further exploration and validation for use in estimating outpatient influenza rates. These methods are less expensive and may provide reasonably sensitive, specific, and timely estimates of the influenza‐associated outpatient disease burden. Regular assessments of the burden of annual epidemics and occasional pandemics are crucial for quantifying the potential benefits of influenza prevention and treatment modalities over time. Such assessments need to include influenza‐associated outpatient medical visits in addition to hospitalization and deaths.

CONFLICT OF INTEREST

R.B. received research grants from Novartis, Sanofi Pasteur, GSK, MedImmune LLC, and Protein Sciences. A.L.N. received research support from GSK. E.A.B. has received research support from MedImmune LLC. The following authors report that they do not have a commercial or other association that may pose a potential conflict of interest: H.Z., W.W.T., A.F., M.L.J., S.S.J., J.M.G., E.W., and D.K.S.

DISCLAIMER

The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention. Click here for additional data file.
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1.  Burden of seasonal influenza hospitalization in children, United States, 2003 to 2008.

Authors:  Fatimah S Dawood; Anthony Fiore; Laurie Kamimoto; Anna Bramley; Arthur Reingold; Ken Gershman; James Meek; James Hadler; Kathryn E Arnold; Patricia Ryan; Ruth Lynfield; Craig Morin; Mark Mueller; Joan Baumbach; Shelley Zansky; Nancy M Bennett; Ann Thomas; William Schaffner; David Kirschke; Lyn Finelli
Journal:  J Pediatr       Date:  2010-06-26       Impact factor: 4.406

2.  A method for timely assessment of influenza-associated mortality in the United States.

Authors:  L Simonsen; M J Clarke; D F Stroup; G D Williamson; N H Arden; N J Cox
Journal:  Epidemiology       Date:  1997-07       Impact factor: 4.822

3.  Impact of influenza vaccination on seasonal mortality in the US elderly population.

Authors:  Lone Simonsen; Thomas A Reichert; Cecile Viboud; William C Blackwelder; Robert J Taylor; Mark A Miller
Journal:  Arch Intern Med       Date:  2005-02-14

4.  Influenza- and RSV-associated hospitalizations among adults.

Authors:  John P Mullooly; Carolyn B Bridges; William W Thompson; Jufu Chen; Eric Weintraub; Lisa A Jackson; Steve Black; David K Shay
Journal:  Vaccine       Date:  2006-09-25       Impact factor: 3.641

5.  Preliminary Estimates of Mortality and Years of Life Lost Associated with the 2009 A/H1N1 Pandemic in the US and Comparison with Past Influenza Seasons.

Authors:  Cecile Viboud; Mark Miller; Don Olson; Michael Osterholm; Lone Simonsen
Journal:  PLoS Curr       Date:  2010-03-20

6.  Influenza burden for children with asthma.

Authors:  E Kathryn Miller; Marie R Griffin; Kathryn M Edwards; Geoffrey A Weinberg; Peter G Szilagyi; Mary A Staat; Marika K Iwane; Yuwei Zhu; Caroline B Hall; Gerry Fairbrother; Ranee Seither; Dean Erdman; Pengjun Lu; Katherine A Poehling
Journal:  Pediatrics       Date:  2008-01       Impact factor: 7.124

7.  Effectiveness of inactivated influenza vaccines varied substantially with antigenic match from the 2004-2005 season to the 2006-2007 season.

Authors:  Edward A Belongia; Burney A Kieke; James G Donahue; Robert T Greenlee; Amanda Balish; Angie Foust; Stephen Lindstrom; David K Shay
Journal:  J Infect Dis       Date:  2009-01-15       Impact factor: 5.226

Review 8.  The Vaccine Safety Datalink: successes and challenges monitoring vaccine safety.

Authors:  Michael M McNeil; Julianne Gee; Eric S Weintraub; Edward A Belongia; Grace M Lee; Jason M Glanz; James D Nordin; Nicola P Klein; Roger Baxter; Allison L Naleway; Lisa A Jackson; Saad B Omer; Steven J Jacobsen; Frank DeStefano
Journal:  Vaccine       Date:  2014-08-06       Impact factor: 3.641

9.  Estimating influenza incidence and rates of influenza-like illness in the outpatient setting.

Authors:  Ashley Fowlkes; Sharoda Dasgupta; Edward Chao; Jennifer Lemmings; Kate Goodin; Meghan Harris; Karen Martin; Michelle Feist; Winfred Wu; Rachelle Boulton; Jonathan Temte; Lynnette Brammer; Lyn Finelli
Journal:  Influenza Other Respir Viruses       Date:  2012-09-18       Impact factor: 4.380

10.  Estimated rates of influenza-associated outpatient visits during 2001-2010 in 6 US integrated healthcare delivery organizations.

Authors:  Hong Zhou; William W Thompson; Edward A Belongia; Ashley Fowlkes; Roger Baxter; Steven J Jacobsen; Michael L Jackson; Jason M Glanz; Allison L Naleway; Derek C Ford; Eric Weintraub; David K Shay
Journal:  Influenza Other Respir Viruses       Date:  2018-02-15       Impact factor: 4.380

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1.  Burden of influenza-associated outpatient influenza-like illness consultations in China, 2006-2015: A population-based study.

Authors:  Luzhao Feng; Shuo Feng; Tao Chen; Juan Yang; Yiu Chung Lau; Zhibin Peng; Li Li; Xiling Wang; Jessica Y T Wong; Ying Qin; Helen S Bond; Juanjuan Zhang; Vicky J Fang; Jiandong Zheng; Jing Yang; Peng Wu; Hui Jiang; Yangni He; Benjamin J Cowling; Hongjie Yu; Yuelong Shu; Eric H Y Lau
Journal:  Influenza Other Respir Viruses       Date:  2019-12-23       Impact factor: 4.380

2.  Comparison of local influenza vaccine effectiveness using two methods.

Authors:  G K Balasubramani; Richard K Zimmerman; Heather Eng; Jason Lyons; Lloyd Clarke; Mary Patricia Nowalk
Journal:  Vaccine       Date:  2021-01-21       Impact factor: 3.641

3.  Estimated rates of influenza-associated outpatient visits during 2001-2010 in 6 US integrated healthcare delivery organizations.

Authors:  Hong Zhou; William W Thompson; Edward A Belongia; Ashley Fowlkes; Roger Baxter; Steven J Jacobsen; Michael L Jackson; Jason M Glanz; Allison L Naleway; Derek C Ford; Eric Weintraub; David K Shay
Journal:  Influenza Other Respir Viruses       Date:  2018-02-15       Impact factor: 4.380

4.  Estimating Influenza-associated Mortality in Korea: The 2009-2016 Seasons.

Authors:  Kwan Hong; Sangho Sohn; Byung Chul Chun
Journal:  J Prev Med Public Health       Date:  2019-08-23
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