Open Access Research – A case control study of incident rheumatological conditions following acute gastroenteritis during military deployment Kathryn H DeYoung,1,2 Mark S Riddle,3 Larissa May,2,4 Chad K Porter3 Tocite:DeYoungKH, ABSTRACT Strengths and limitations of this study RiddleMS,MayL,etal. Objectives:Theaimofthisstudywastoassessthe Acase–controlstudyof riskofincidentrheumatologicaldiagnoses(RD) ▪ Use of self-reported gastroenteritis instead of incidentrheumatological conditionsfollowingacute associatedwithself-reporteddiarrhoeaandvomiting medical encounter data or culture-confirmed gastroenteritisduringmilitary duringafirst-timedeploymenttoIraqorAfghanistan. infectious gastroenteritis enabled inclusion of a deployment.BMJOpen SuchanassociationwouldprovideevidencethatRDin larger portion of personnel potentially exposed 2013;3:e003801. thispopulationmayincludeindividualswithreactive topathogensofinterest. doi:10.1136/bmjopen-2013- arthritis(ReA)fromdeployment-relatedinfectious ▪ Extraction of data from a health assessment 003801 gastroenteritis. completed by all military personnel returning Design:Thiscase–controlepidemiologicalstudyused from deployment allowed access to a large pool ▸ Prepublicationhistoryfor univariateandmultivariatelogisticregressiontocompare ofrespondents. thispaperisavailableonline. theoddsofself-reporteddiarrhoea/vomitingamong ▪ Broadly defining reactive arthritis by the specific Toviewthesefilesplease deployedUSmilitarypersonnelwithincidentRDtothe and non-specific International Classification of visitthejournalonline oddsofdiarrhoea/vomitingamongacontrolpopulation. Diseases, Ninth Revision, Clinical Modification (http://dx.doi.org/10.1136/ Setting:Weanalysedhealthrecordsofpersonnel codesincreasedthesensitivity. bmjopen-2013-003801). deployedtoIraqorAfghanistan,includingresponseson ▪ Each of these study design decisions introduced apostdeploymenthealthassessmentandmedicalfollow- the possibility of non-differential biases, includ- Received15August2013 uppostdeployment. ing exposure misclassification, recall bias and Revised23October2013 Accepted6November2013 Participants:Anonymousdatawereobtainedfrom891 outcome misclassification. This would likely bias USmilitarypersonnelwithatleast6monthsofmedical theassociationstowardsthenull. follow-upfollowingafirst-timedeploymenttoIraqor Afghanistanin2008–2009.Casesweredefinedusing InternationalClassificationofDiseases,NinthRevision, Conclusions:Incidentrheumatologicalconditions, ClinicalModification(ICD-9-CM)diagnosiscodes; eventhoseclassifiedas‘non-specific,’aresignificantly controlshadanunrelatedmedicalencounterandwere associatedwithpriorseverediarrhoeainpreviously representativeofthestudypopulation. deployedmilitarypersonnel,potentiallyindicatingReA Mainoutcomemeasures:Theprimarymeasurewas andneedforpreventivemeasurestoreduce anassociationbetweenincidentRDandself-reported diarrhoeagenicbacterialexposuresinmilitarypersonnel diarrhoea/vomitingduringdeployment.Asecondary andothertravellerstothedevelopingregions. 1DenverPublicHealth, measurewastheoverallincidenceofRDinthis Denver,Colorado,USA population. 2DepartmentofEpidemiology Results:Weidentified98casesofnewonsetRD,witha andBiostatistics,Schoolof PublicHealthandHealth totalincidenceof161/100000persons.Ofthose,two INTRODUCTION Services,GeorgeWashington participantshadbeendiagnosedwithReiter’sdiseasei Travellers’ diarrhoea (TD) is common University,WashingtonDC, (3.3/100000persons)andtheremainderwithnon- USA specificarthritis/arthralgia(157.5/100000persons).The among those travelling from the developed 3EntericDiseases ORforacutediarrhoeawas2.67(p=0.03)afteradjusting to the developing regions of the world. Department,NavalMedical forimportantcovariates. Incidence is broadly estimated at 20–40% of ResearchCenter,Silver travellers per month but varies by country Spring,Maryland,USA 4DepartmentofEmergency or region visited, duration of travel and Medicine,George sociodemographic factors.1–3 The aetiology iThe terms Reiter’s disease and Reiter’s syndrome are WashingtonUniversity, of TD is predominantly bacterial, commonly beingreplacedwiththemoreappropriatetermReactive WashingtonDC,USA Arthritis. Usage in this article strictly refers to their caused by diarrhoeagenic Escherichia coli, useintheInternationalClassificationofDiseases,Ninth Campylobacter spp., Shigella spp. and non- Correspondenceto Revision, Clinical ModificationICD-9-CM diagnostic DrChadKPorter; codes (099.3 and 711.1) and is not an endorsement of typhoidal Salmonella spp., although viral and [email protected] theterms. parasitic infections also occur.3–5 While the DeYoungKH,RiddleMS,MayL,etal.BMJOpen2013;3:e003801.doi:10.1136/bmjopen-2013-003801 1 Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 3. DATES COVERED 2013 2. REPORT TYPE 00-00-2013 to 00-00-2013 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER A case control study of incident rheumatological conditions following 5b. GRANT NUMBER acute gastroenteritis during military deployment 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION Enteric Diseases Department, Naval Medical,Research Center,Silver REPORT NUMBER Spring,MD,20910 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S) 11. SPONSOR/MONITOR’S REPORT NUMBER(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited 13. SUPPLEMENTARY NOTES 14. ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF 18. NUMBER 19a. NAME OF ABSTRACT OF PAGES RESPONSIBLE PERSON a. REPORT b. ABSTRACT c. THIS PAGE Same as 8 unclassified unclassified unclassified Report (SAR) Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 Open Access acute symptoms associated with TD are predominately regions, we sought to assess the risk of incident rheum- self-limited and may be shortened in duration by anti- atological diagnoses (RD) associated with self-reported biotic therapy, sequelae associated with infection by diarrhoea and vomiting during a first-time deployment pathogens of TD can cause long-term gastrointestinal, to Iraq or Afghanistan.15 16 neurological and rheumatological health outcomes.6–8 Reactive arthritis (ReA) is a sterile asymmetric arthritis of one or more joints that can include inflammation of METHODS the tendons, eyes, genitourinary tract and skin.9 Joint A case–control study of military personnel was designed inflammation is most common in the large joints of the to comparethe odds ofself-reported diarrhoea or vomit- lower limbs.9 10 The most stronglyassociated enteric bac- ing during deployment among personnel with incident teria are Campylobacter jejuni and coli, non-typhoidal RD (cases) to the odds among those without such diag- Salmonella spp, Shigella spp and Yersinia enterocolitica.9–13 noses (controls). All participants were active duty US Reports of ReA following bacterial gastroenteritis are military personnel on initial deployment between 2008 most common following large-scale outbreaks, and esti- and 2009 with at least 6 months of postdeployment mates of incident ReA outcomes range from 0% to 30% medical follow-up (figure 1). Cases were identified using depending on the infecting pathogen, host characteris- International Classification of Diseases, Ninth Revision, tics, outcome definitions and other factors.10 14 Clinical Modification (ICD-9-CM) codes for Reiter’s Deployed military personnel represent a young, pre- diseasei (099.3 and 711.1), postdysenteric arthropathy dominately healthy subset of the general travel popula- (711.3) and, due to the confounding factors underlying tion at high risk of TD and, potentially, of related Reiter’s diseasei diagnoses, a category of non-specific sequelae. Given the prior reports of an increased risk of arthritis/arthralgia (NAA) was included (716.4-.6, functional gastrointestinal disorders following infectious 716.8-.9).10 16 17 The ICD-9-CM codes for postdysenteric gastroenteritis during military deployment and atwofold arthropathy and non-specific arthritis/arthropathy increased risk of Reiter’s diseasei and postdysenteric include a fifth digit subclassification indicating the body arthropathy among personnel deployed to high-risk area affected (figure 2). Cases required a minimum of Figure1 Schemaofselectionforanalysis. 2 DeYoungKH,RiddleMS,MayL,etal.BMJOpen2013;3:e003801.doi:10.1136/bmjopen-2013-003801 Open Access Figure2 Fifthdigit subclassificationofbodyarea affected. two separate outcome-specific medical encounters for and/or had been ordered to remain in their quarters within 365days with no concurrent diagnoses of (bed rest) or placed on medically restricted duty status Chlamydia trachomatis, Neisseria gonorrhoeae or Ureaplasma (light/limited duty) for diarrhoea or vomiting. Personnel urealyticum. Controls were of a similar age, deployment who consistently did not respond to the exposure ques- location (Iraq or Afghanistan), had an unrelated tions were excluded from the case–control analysis; for medical encounter and were representative of the study those who answered at least one exposure question, we population. consideredmissingresponsesas‘no’responses. All data were obtained from the Defense Medical The incidence of RD was calculated based on the Surveillance System (DMSS), a repository for medical number of active duty US military personnel eligible for surveillance data on US military personnel.18 inclusion into this study. Multivariate logistic regression Demographic variables, including age, gender, race, models were developed utilising a backward elimination rank and marital status were analysed to assess their approach in which all covariates were initially included. association with incident RD. Because acute enteric The final adjusted model was developed iteratively for infections are under-reported through electronic the outcome of any diarrhoea or vomiting during medical records, exposure data were obtained from deployment, and only variables with α≤0.15 were postdeployment health assessments (PDHAs), a self- retained. The final model was then applied to each administered survey completed by all US military person- exposure strata. Reference groups were chosen based on nel returning from deployment. Of specific interest for prior epidemiological studies as well as distribution of this study were questions about diarrhoea and vomiting our data. Statistical analyses were conducted using SAS during deployment. Respondents indicated whether V.9 for Windows (SAS Institute, Cary, North Carolina, during deployment, they had seen a healthcare provider USA) and interpretedusing α=0.05. DeYoungKH,RiddleMS,MayL,etal.BMJOpen2013;3:e003801.doi:10.1136/bmjopen-2013-003801 3 Open Access The study protocol was approved by the Naval Medical Compared with controls, cases were more predominately Research Center Institutional Review Board in compli- male (94% vs 70%; p<0.001) and tended to be married ance with all applicable Federal regulations governing (60% vs 48%; p=0.06). The prevalence of self-reported the protection of human participants. gastroenteritis was relatively low across deployments (19.4%; table 2). However, personnel deployed to Afghanistan reported diarrhoea and/or vomiting more RESULTS oftenthanthosedeployedtoIraq(37%vs17%,p=0.01). We identified 98 cases of new onset RD among active Univariate logistic regression showed that male duty military personnel with an initial deployment to gender (p<0.001) and rank (p=0.01) were associated Iraq and/or Afghanistan between 2008 and 2009 for a with increased incidence of rheumatological outcomes total incidence of 161/100000 persons (figure 1). Two (table 3). A greater per cent of cases than controls cases were diagnosed with Reiter’s diseasei (3.3/100000 reported care-seeking (23.5% vs 15.2%; p=0.07) and persons) and the rest with NAA (157.5/100000 being assigned light/limited duty (10.3% vs 5.0% persons). Of the nine possible subclassifications, the p=0.07) for diarrhoea. Black or white race (p=0.15), most frequently specified body areas affected were lower junior officer rank (p=0.11) and being married leg (27%), shoulder (21%) and ankle/foot (21%); 18% (p=0.06) were also more common among those with of diagnoses did not specify a body area (figure 2). The RD. Afteradjusting forcovariates, the prevalence ofdiar- remaining 13% were composed of pelvic region/thigh rhoea and vomiting was consistently higher among cases (4.5%), forearm (2.4%), hand (0.9%), upper arm than among controls (table 4). In personnel reporting (0.6%), and other (2.4%) or multiple (2.1%) sites. more severe diarrhoea (eg, being sick-in-quarters or Excluding primary exposure non-respondents (ie, placed on light/limited duty), there was an approxi- those who did not answer gastroenteritis questions) mately 2.5-fold increased odds of RD compared with yielded 891 participants: 68 cases and 823 controls those who did not (aOR 2.67; p=0.03). Although the (figure 1). Overall, 28% of original participants were association with milder diarrhoea was not statistically sig- non-respondents: 31% of cases and 28% of controls. As nificant, there was a trend suggestive of a dose–response intended, there was no difference in the average age of effect. Self-reported vomiting was not a significant pre- cases or controls (mean 27.6years; SD 6.8; table 1). dictorof incident RD. Table1 DemographicandexposurecharacteristicsofUSmilitaryservicemembersaftertheirfirstdeploymenttoIraqor Afghanistanbetween2008and2009 Variable Cases*(n=68) Controls(n=823) pValue Meanage(SD) 28.5(6.8) 27.5(7.6) 0.26 Gender Female 4(6%) 244(30%) <0.001 Male 64(94%) 579(70%) Race Black 15(22%) 167(20%) 0.72 White 45(66%) 500(61%) Other 8(12%) 156(19%) Rank Enlisted 60(88%) 702(85%) 0.50 Officer/warrantofficer 8(12%) 121(15%) Maritalstatus Single/other 27(40%) 426(52%) 0.06 Married 41(60%) 397(48%) Deploymentregion† Afghanistan 7(10%) 97(12%) Iraq 60(90%) 721(88%) 0.73 Gastroenteritis Anydiarrhoea/vomiting 19(27.9%) 154(18.7%) 0.07 Anydiarrhoea 16(23.5%) 131(15.9%) 0.11 Soughtcarefordiarrhoea 16(23.5%) 125(15.2%) 0.07 Limiteddutystatus—diarrhoea 7(10.3%) 41(5.0%) 0.07 Anyvomiting 9(13.2%) 71(8.6%0 0.21 Soughtcareforvomiting 8(11.8%) 66(8.0%) 0.29 Limiteddutystatus—vomiting 4(5.9%) 39(4.7%) 0.67 *DiagnosedatleasttwicewithICD-9-CMcodesmeetingstudycriteriaforincidentRDwithin365days. †Excludessixpersonnelwhodeployedtobothregions.Casen=67,controln=818. 4 DeYoungKH,RiddleMS,MayL,etal.BMJOpen2013;3:e003801.doi:10.1136/bmjopen-2013-003801 Open Access Table2 Frequency(n(%))ofself-reported,deployment-relatedexposuresbydeploymentregion(excludingsixpersonnel deployedtobothregions) Variable Afghanistan(n=104) Iraq(n=781) pValue Anygastroenteritis 40(38) 132(17) 0.01 Anydiarrhoea 33(32) 114(15) 0.28 Soughtcarefordiarrhoea 32(31) 109(14) 0.39 Bedrest/lightorlimiteddutystatus—diarrhoea 9(9) 39(5) 0.92 Anyvomiting 17(16) 62(8) 0.29 Soughtcareforvomiting 15(14) 58(7) 0.19 Bedrest/lightorlimiteddutystatus—vomiting 8(8) 34(4) 0.59 DISCUSSION post-deployment surveys to identify diarrheal cases. We found that 16% of deployed service members sought However, this could also indicate a true decrease in inci- care for diarrhoea, 38% of whom required a change in dence due to decreased risk in theatre, which has been duty as a result of the acute illness. This is much lower reported in apreviouspublication.21 than prior estimates of gastroenteritis in deployed mili- We identified an overall incidence of RD of 161/ tary personnel.19 20 Specifically, Sanders et al19 found in 100000 (Reiter’s diseasei: 3.1/100000 and NAA: 157.5/ 2004 that 77% of US personnel who served in Iraq and 100000), similar to estimates reported by Curry et al.16 54% ofthose deployed toAfghanistan reported any diar- These estimates are greater than those from population- rheal illness; nearly half of those with diarrheal illness based studies within the USA, likely due to differences had sought care. Differences in study methods may have in study populations and methods utilised to classify contributed to this difference. Use of a post-deployment exposures and outcomes.11 In addition, exposure to spe- questionnaire in our study is likely to have resulted in cific bacterial pathogens in deployed populations is under-reporting of exposure, while Sanders et al utilised likely more common than in the developed countries, active case-surveillance through mid-deployment and where viruses are the dominant cause of acute Table3 UnadjustedconditionalORs(95%CIs)forexposurevariablesandcovariatesfromunivariateanalysisevaluating RDafterfirstdeploymenttoIraqorAfghanistanbetween2008and2009 Variable OR 95%CI pValue Gender Female 1.0 Male 6.74 2.48to18.71 <0.001 Race Other 1.0 Black/white 1.75 0.82to3.74 0.15 Rank Enlisted 1.0 Juniorofficer 0.43 0.15to1.22 0.11 Seniorofficer 11.70 1.62to84.54 0.01 Warrantofficer 2.13 0.46to9.82 0.33 Maritalstatus Single/other 1.0 Married 1.63 0.98to2.70 0.06 Deployment* Afghanistan 1.0 Iraq 1.15 0.512to2.595 0.73 Gastroenteritis Anydiarrhoea/vomiting 1.68 0.96to2.94 0.07 Anydiarrhoea 1.68 0.96to2.94 0.11 Soughtcarefordiarrhoea 1.72 0.95to3.11 0.07 Limiteddutystatus—diarrhoea 2.19 0.94to5.09 0.07 Anyvomiting 1.62 0.77to3.39 0.21 Soughtcareforvomiting 1.53 0.70to3.33 0.29 Limiteddutystatus—vomiting 1.26 0.44to3.63 0.67 *ExcludessixparticipantsdeployedtobothIraqandAfghanistan. RD,rheumatologicaldiagnoses. DeYoungKH,RiddleMS,MayL,etal.BMJOpen2013;3:e003801.doi:10.1136/bmjopen-2013-003801 5 Open Access Table4 Adjusted*ORs(95%CIs)forexposurevariablesfrommultivariateanalysisevaluatingincidentRDafterfirst deploymenttoIraqorAfghanistanbetween2008and2009 N(%) Variable Cases Controls aOR* 95%CI pValue Anydiarrhoea/vomiting 19(28) 154(19) 1.65 0.92to2.96 0.09 Anydiarrhoea 16(24) 131(16) 1.49 0.80to2.77 0.21 Soughtcarefordiarrhoea 16(24) 125(15) 1.56 0.83to2.91 0.17 Quarters/lightorlimiteddutystatusfordiarrhoea 7(10) 41(5) 2.67 1.11to6.47 0.03 Anyvomiting 9(13) 71(9) 1.91 0.89to4.11 0.10 Soughtcareforvomiting 8(12) 66(8) 1.83 0.82to4.08 0.14 Quarters/lightorlimiteddutystatusforvomiting 4(6) 39(5) 1.76 0.59to5.29 0.31 *ORadjustedforgender,race,rankandmaritalstatus. aOR,adjustedOR;N,number. RD,rheumatologicaldiagnoses. gastroenteritis.3 22 23 Importantly, the body areas infectiousgastroenteritis,wewereabletoincludealarger affected, primarily the lower leg, are consistent with portion of personnel potentially exposed to the patho- other reports of ReA.10 14 ReA is known to commonly gens of interest. This is especially important because occur in multiple joints at once, but clinicians may have medical encounter data in the deployment setting are chosen to specify only one body area because it was the not routinely recorded in electronic medical records body area worst affected or because it was the body area capable of being linked with ambulatory and inpatient in which the condition had persisted until that medical medicalencounters.However,byusingthisexposuredef- encounter.14 inition, we may have included an undefined number of We found a nearly threefold increased risk (aOR 2.67, non-bacterial gastroenteritis episodes resulting in expos- 95% CI 1.11 to 6.47) of exposure to severe diarrhoea ure misclassification—likely non-differential and thus during deployment for RD, elaborating on the findings biasing towards the null. In addition, utilising data col- by Curry et al16 of associations between prior infectious lectedattheendofdeployment,potentiallymonthsafter gastroenteritis and/or deployment to high-risk regions the gastroenteritis episode, opened the study to non- and Reiter’s disease or NAA. Using the same outcome differential recall bias. Similarly,broadly defining ReA by definitions, Curry et al reported an adjusted OR (aOR) the specific and non-specific ICD-9-CM codes increased of 1.76 (95% CI 1.49 to 2.07) for NAA risk in those with sensitivity, but likely increased outcome misclassification. documented infectious gastroenteritis compared with ICD-9-CM codes are useful for health surveillance but thosewithout. have several known sources of error and variance which The incidence of RD in this study was higher than in impact data reliability.24 25 Using the surveillance data population-based studies, but possibly lower than the available from the DMSS expanded our access to poten- incidence in all deployed personnel due to our relatively tial research participants and their records. However, young study population. Our sample was limited to per- response rates, particularly to the questions of interest in sonnel on first-time deployment, yielding a mean age of this study,werepoor.Only69%ofcasesand75%ofcon- 27.6years (SD 6.8); this is lower than the average age of trols answered the gastroenteritis questions and the rest ReA diagnosis in the general population (30–40years).10 could not be included in case–control analyses. This Curry16 observed that the rates of NAA and ReA design allowed us to examine the risk of ReA in active increased significantly with age. In a prospective studyof duty military personnel, a group of people who have a culture-confirmed Campylobacter, E coli O157, Salmonella, high rate of gastroenteritis and whose risk for ReA has Shigella and Yersinia infections among patients >1year, notbeenwellstudied. Townes et al14 observed a median age of 41years among Further research is needed to define the incidence, individuals with confirmed ReA. If younger persons are risk factors,durationand costsofReAinactivedutymili- less likely to develop ReA, our incidence estimate may tary personnel and other travel populations. Improved be lower than the incidence of ReA among all deployed characterisation of incidence and risk factors can be service membersand the broader travel population. accomplished with study designs targeting more well- Although these data may not be directly generalisable refined diagnoses of ReA and postdysenteric arthropa- to every travel population, our findings highlight ReA as thy, case-finding that does not depend on ICD-9-CM an important TD sequela among travellers who stay for codes and more specific measures of bacterial gastro- long periods in the developing regions of the world enteritis during travel than are available through the wherebacillarydiarrhoeaiscommon.However,thisstudy PDHA. In a US military population, a longitudinal study should be interpreted with a full appreciation of the could utilise duration and cost of illness data extracted inherentlimitations.Inusingself-reportedgastroenteritis from the DMSS. Our study suggests that a significant instead of medical encounter data or culture-confirmed proportion of individuals with ReA may currently be 6 DeYoungKH,RiddleMS,MayL,etal.BMJOpen2013;3:e003801.doi:10.1136/bmjopen-2013-003801 Open Access categorised as having NAA. This possibility should be 2. FreedmanDO,WeldLH,KozarskyPE,etal.Spectrumofdisease andrelationtoplaceofexposureamongillreturnedtravelers.NEngl investigated by clinically examining patients in a variety JMed2006;354:119–30. of target populations who have been diagnosed with 3. RiddleMS,SandersJW,PutnamSD,etal.Incidence,etiology,and NAA to determine whether they have ReA. 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RihlM,KlosA,KohlerL,etal.Infectionandmusculoskeletal conditions:Reactivearthritis.BestPractResClinRheumatol study population primarily represented younger military 2006;20:1119–37. personnel and ReA is most common in 30-year-olds and 12. RohekarS,PopeJ.Epidemiologicapproachestoinfectionand 40-year-olds, the true incidence of ReA in active duty immunity:thecaseofreactivearthritis.CurrOpinRheumatol 2009;21:386–90. military personnel and the broader travel population 13. WuIB,SchwartzRA.Reiter’ssyndrome:theclassictriadandmore. may be higher than our estimate. Carefully designed JAmAcadDermatol2008;59:113–21. 14. TownesJM,DeodharA,LaineE,etal.Reactivearthritisfollowing future studies will help to further characterise the risk culture-confirmedinfectionswithbacterialentericpathogensin factors of ReA and its long-term health consequences MinnesotaandOregon:apopulation-basedstudy.AnnRheumDis and to identify interventions that could reduce the 2008;67:1689–96. 15. 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