ContentslistsavailableatScienceDirect
Digestive
and
Liver
Disease
j o ur n a l ho me p a g e :w w w . e l s e v i e r . c o m / l o c a t e / d l d
Alimentary
Tract
Risk
of
impaired
nutritional
status
and
flare
occurrence
in
IBD
outpatients
Corinne
E.G.M.
Spooren
a,b,∗,
Dion
S.J.
Wintjens
a,b,
Marin
J.
de
Jong
a,b,
Andrea
E.
van
der
Meulen-de
Jong
c,
Mariëlle
J.
Romberg-Camps
d,
Marco
C.
Becx
e,
Jeroen
P.
Maljaars
c,
Ad
A.
van
Bodegraven
d,
Nofel
Mahmmod
e,
Tineke
Markus
f,
Wim
M.
Hameeteman
a,
Ad
A.M.
Masclee
a,b,
Bjorn
Winkens
g,
Daisy
M.A.E.
Jonkers
a,b,
Marie
J.
Pierik
a,baDepartmentofInternalMedicine,DivisionofGastroenterologyandHepatology,MaastrichtUniversityMedicalCentre+,Maastricht,TheNetherlands bSchoolforNutritionandTranslationalResearchinMetabolism(NUTRIM),MaastrichtUniversityMedicalCentre+,Maastricht,TheNetherlands cDepartmentofGastroenterologyandHepatology,LeidenUniversityMedicalCentre,Leiden,TheNetherlands
dDepartmentofGastroenterology,Geriatrics,InternalandIntensiveCareMedicine(Co-MIK),ZuyderlandMedicalCentre,Sittard-Geleen-Heerlen,The
Netherlands
eDepartmentofGastroenterologyandHepatology,St.AntoniusHospital,Nieuwegein,TheNetherlands fCCUVN,DutchIBDPatientsOrganization,Woerden,Netherlands
gDepartmentofMethodologyandStatistics,MaastrichtUniversity,Maastricht,TheNetherlands
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:Received25February2019 Accepted23May2019 Availableonline15June2019 Keywords: Crohn’sdisease Nutritionalstatus Telemedicine Ulcerativecolitis
a
b
s
t
r
a
c
t
Background:Inflammatoryboweldisease(IBD)patientsareatriskofanimpairednutritionalstatus.The impactthereofontheIBDrelapseriskisclinicallyrelevant,thoughsparselyinvestigated.
Aim:Theaimwastoexploretheassociationbetweenanimpairednutritionalstatusriskandthe occur-renceofdiseaseflaresinIBDoutpatientsparticipatinginalongitudinaltelemedicinestudy.
Methods:IBDoutpatientswererecruitedfromthemyIBDcoachstudycohort,withoneyearclinical follow-up.ThroughmyIBDcoach,atelemedicinetool,patientsreportedondiseaseactivityandriskofimpaired nutritionalstatus(i.e.ShortNutritionalAssessmentQuestionnaire>1and/orBMI<18.5kg/m2)everyone
tothreemonths.Datawasanalysedbygeneralizedestimatingequationmodelling.
Results:Intotal,417patientswereincluded.Duringfollow-up,49patients(11.8%)flaredafterinitial clinicalremissionand53patients(12.7%)showedanincreasedriskofimpairednutritionalstatus.The riskofimpairednutritionalstatuswasassociatedwithflareoccurrence(OR2.61(95%CI1.02–6.69)). Conclusions:TheriskofanimpairednutritionalstatuswasassociatedwithsubsequentflaresinIBD outpatients.ThisemphasizestheimportanceofmonitoringdiseaseactivityinIBDpatientsatriskof impairednutritionalstatus.
©2019EditriceGastroenterologicaItalianaS.r.l.PublishedbyElsevierLtd.Allrightsreserved.
1. Introduction
Inflammatoryboweldisease(IBD)isachronicinflammatory dis-easeofthegastrointestinaltract,withCrohn’s disease(CD)and ulcerativecolitis(UC)asmainsubtypes.Thediseasecourseis char-acterizedbyawidevariationindurationandfrequencyofrelapsing andquiescentperiodsbetweenpatients.Severalfactorshavebeen associated withrelapse risk,such asa highfrequency of flares
∗ Corresponding author at: Division of Gastroenterology and Hepatology, MaastrichtUniversityMedicalCentre+,POBox5800,6202AZ,Maastricht,The Netherlands.
E-mailaddress:c.spooren@maastrichtuniversity.nl(C.E.G.M.Spooren).
withinthe firstyear ofdiagnosis[1,2], poormedication adher-ence[3],and activesmokinginCD patients[4].However,these donotsufficientlypredictthediseasecourse.Identificationof fur-therfactorscontributingtothedevelopmentofrelapsesistherefore warranted.
IBDpatientsareatriskofanimpairednutritionalstatusdueto diseaserelatedchangesinabsorptionand/orrequirements,often incombinationwithanunbalanceddietaryintake[5].Reported prevalencesrangefrom16to75%inIBDpatients[6–8].The varia-tionmaybeduetoheterogeneityinstudymethodsanddefinitions usedfordefininganimpairednutritionalstatus,in many publi-cationsoften referred toas malnutrition.Definingmalnutrition remainschallenging.Therefore,theAmericanSocietyofParenteral andEnteralNutrition(ASPEN)recommendsdiagnostic characteris-https://doi.org/10.1016/j.dld.2019.05.024
ticstoidentifymalnutritioninadults,bywhichtwoofthefollowing six criteria need to be fulfilled: i.e. low energy intake, weight loss,lossofmusclemass,lossofsubcutaneousfat,fluid accumu-lation,and handgripstrength [9]. However,validated screening toolstoidentifypatientsatriskofmalnutrition,suchastheShort NutritionalAssessmentQuestionnaire(SNAQ)andthe Malnutri-tionUniversalScreeningTool(MUST),aremoreoftenused,since thesearelesstimeconsuming[10].
Animpairednutritionalstatusmayimpactdiseasecourse. Mal-nutrition,definedbytheSubjectiveGlobalAssessment,whichisa nutritionalassessmentinstrument,hasbeenfoundtoberelated toa diminishedqualityoflifeinhospitalizedpatientswithIBD [11].Inaddition,radiologicallyassessedlossofmusclemasswas foundtobeassociatedwithanincreasedriskofintestinalresection andpostoperativecomplicationsinIBDpatients[12–15]. Further-more,higherdiseaseactivitywasassociatedwithalowerskeletal muscleindexamongUCpatients[13].Inpreviouscross-sectional andlongitudinalstudies,activediseasewasreportedtoaffectbody compositioninbothCDandUCpatients[16–18].However,both CDandUCpatientswithquiescentdiseasecanalsosufferfroman alteredbodycomposition(i.e.fatmassandfatfreemass)[19,20]. Furthermore,ina prior study,thenutritionalstatus ofrecently diagnosedIBDpatientswasshowntobeaffectednegativelyina priorstudy[21].Itcanthusbehypothesizedthatanimpaired nutri-tionalstatuscouldbeariskfactorforthedevelopmentofdisease activity.Therefore,asanexplorativestudy,weaimedtoanalyse whethertheriskofanimpairednutritionalstatuswasassociated withflareoccurrenceinquiescentIBDoutpatientsinalongitudinal, observationalstudy.
2. Materialsandmethods
2.1. Studydesign
Forthepresentlongitudinalstudy,availabledatafromthe myIB-Dcoachstudywasusedinanexplorativeanalysis.MyIBDcoachisa telemedicinetool,accessibleonasecuredwebpagethrough com-puter,tabletorsmartphone,forthemonitoringofIBDpatientsat home[22]. InthemyIBDcoachtrial,theeffectofdisease moni-toringwithmyIBDcoachonhealthcareutilizationandqualityof carewasinvestigated.AllconsecutiveIBDpatientsbetween18–75 years,withsufficientknowledgeoftheDutchlanguageandinternet access,fromtwotertiaryreferralcentresandtwonon-academic hospitalsintheNetherlands wereeligiblefor inclusion for this trialandrandomizedinthemyIBDcoachorstandardcaregroup. AllpatientshadanestablisheddiagnosisofCDorUC,fulfillingthe internationaldiagnosticcriteria[23].
Everysinglemonth,patientsinthetelemedicinearmcompleted monitoringmodules,comprisingquestionsondiseaseactivity,use ofmedication,smokingstatus,weight,andmalnutritionriskbased ontheSNAQ.Ifapatientachievedremission(i.e.lowclinicalactivity forthreeconsecutivemonths),patientswereallowedtocomplete themonitoringmoduleonceeverythreemonths.Thestudydesign isdescribedindetailelsewhere[24].
ThemyIBDcoachstudywasapprovedbytheMedicalResearch Ethics Committee of the Maastricht University Medical Cen-tre+ (NL47697.068.14) and registered at ClinicalTrials.gov (NCT02173002) and the study protocol conformed to the pro-visionsof thedeclarationof Helsinki. Allpatientsgave written informedconsentpriortoparticipation[22,24].
PatientswhowererandomizedtothemyIBDcoachintervention groupwereincludedin thepresentstudy.Baseline characteris-tics(e.g.height,diseasephenotype,duration,andmedicationuse) wereextractedfrompatientfilesusingstandardizedregistration forms.Duringthe12monthsoffollow-up,informationonweight
(todetermineBMI),diseaseactivitybyasymptom-basedpatient reported outcome measure (the MonitorIBD At Home (MIAH) questionnaire[25]),andriskformalnutrition(bytheSNAQ)was obtainedeveryonetothreemonths.
InlinewiththemyIBDcoachtrial,diseaseactivity(flares)were definedasclinicalsymptomsindicativeofdiseaseactivity(i.e. pos-itive score on theMonitor IBD At Home (MIAH) questionnaire [25,26]orincreasedsymptomsduringoutpatientvisits)in com-binationwitheithera concurrentfaecalcalprotectin>250g/g, ordiseaseactivityonendoscopy,magneticresonanceimaging,or computedtomography.Indailyclinicalpractice,incaseofclinically severe symptoms suggestive of IBD disease activity, the treat-ingphysicianoccasionallyjudgedthesesymptomstobeevident enoughtoadjusttherapy.Therefore,tocaptureallflares,also symp-tomsindicativeofdiseaseactivityresultingindoseescalationor initiationofanewdrugweredefinedasdiseaseactivity[22]. Oth-erwisepatientswereconsideredtobeinremission.
TheSNAQwasdevelopedasanon-invasivescreeningtoolto assess malnutrition in both in- and outpatient settings [27,28] and comprisesof three questions,i.e. unintentionalweightloss overapredefinedtimeperiod(dependingonweightloss:2or3 points),experienceofdecreased appetiteduringthelastmonth (1point),and/oruseofsupplementaldrinksortubefeeding dur-ingthelastmonth(1point).Forthepresentstudy,theriskofan impairednutritionalstatuswasdefinedasaSNAQ≥2pointsand/or BMI<18.5kg/m2.Bothparametersweredeterminedeveryoneto threemonths.
2.2. Statisticalanalysis
Numericalvariableswerepresentedasmeanswith correspond-ingstandarddeviation(SD)andcategoricalvariablesasnumbers withpercentages.Baselinecharacteristicswerecomparedbetween groups(patientswhorelapseversuspatientswhodonotrelapse) bythe independentsamplest-test fornumerical variables, and Chi-squaretest orFisher’sexact testwhenappropriate, for cat-egorical variables. Generalizedestimating equations model was usedtoidentifyanassociationbetweentheriskofimpaired nutri-tionalstatusandthedevelopmentofflaresinthefollowingthree months.Thismethodaccountsforrepeatedmeasureswithinthe samepatient,withanunstructuredcovariancepattern.
Ateachtime-pointofmeasurement,flarestatus(yes/no),aswell astheriskofimpairednutritionalstatus(yes/no)wasrecorded. In patientswithquiescent disease,thefirstthree monthswere excludedfromtheanalysestopreventpotentialcarryovereffects ofhistologicalinflammationinclinicalinactivepatientsattimeof inclusion.Whenactivediseasewaspresentatinclusionorduring followup,thefollowingsixmonthswereexcludedfromthe analy-sesasawashoutperiod,andtostartthefollow-upfromaremissive stateonwards.
Forthegeneralizedestimatingequationsmodel,allpositive val-uesontheriskofanimpairednutritionalstatusinthethreemonths precedingaflarewereregardedaspossiblepredictors.
Table1
Patientcharacteristics,stratifiedbyoccurrenceofdiseaseflares.
Relapsers(n=49) Non-relapsers(n=368) p-Value
Crohn’sdiseasen(%) 26(53.1) 222(60.3) 0.331
Male,n(%) 15(30.6) 158(42.9) 0.100
BMI(kg/m2),mean(SD) 25.37(4.3) 25.14(4.0) 0.705
Montrealatdiagnosisa
Age(CD&UC) 0.600
A1,<17years,n(%) 8(16.3) 60(16.3) A2,17–40years,n(%) 26(53.1) 219(59.5) A3,>40years,n(%) 15(30.6) 89(24.2) Diseaselocation(CD) 0.741 L1,ileal,n(%) 7(26.9) 73(32.9) L2,colonic,n(%) 6(23.1) 55(24.8) L3,ileocolonic,n(%) 13(50.0) 94(42.3) Diseasebehaviour(CD) 0.958 B1,non-stricturingnon-penetrating,n(%) 16(61.5) 134(60.6) B2,stricturing,n(%) 7(26.9) 57(25.8) B3,penetrating,n(%) 3(11.5) 30(13.6)
Diseaseextent(UC) 0.768
E1,proctitis,n(%) 2(8.7) 19(12.8)
E2,left-sided,n(%) 10(43.5) 69(46.3)
E3,pancolitis,n(%) 11(47.8) 61(40.9)
Ageatinclusion(years),mean(SD) 46.08(15.2) 43.95(13.7) 0.313
Diseasedurationatinclusion(years),mean(SD) 13.45(10.9) 13.39(10.4) 0.971
Activediseaseatinclusion,n(%) 4(8.2) 28(7.6) 0.908
Medicationuseatinclusion 0.434
Nomedication/5-ASA,n(%) 15(30.6) 142(39.3)
Immunomodulators,n(%) 16(32.7) 93(25.8)
Biologics,n(%) 18(36.7) 126(34.9)
Currentsmokingatinclusion,n(%) 1(2.0) 65(17.7) 0.005b
n,numberofpatients/SD,standarddeviation/BMI,bodymassindex/5-ASA,5-aminosalicylicacid.
aAccordingtotheMontrealclassification[45]. bp-Valuebelow0.05.
3. Results
Intotal, 465IBD patientswere allocatedtotheintervention groupinthemyIBDcoachtrial[22].Patientswhowerenoteligible, i.e.neverstartedusingtheapplication,neverachievedaperiodof remissionorwerelosttofollow-upforotherreasonswereexcluded fromfurtheranalyses.Finally,417patientswereincludedinthe presentstudy.
Baselinecharacteristicsatinclusion,stratified byflarestatus duringfollowup,arepresentedinTable1.Duringfollow-up,49 (11.8%)individualpatients(CD=26,UC=23)experiencedaflare afterinitialremission.Lessactivesmokerswerefoundamongthose that relapsedduringfollow-up compared tothe‘non-relapsers’ (p=0.005).Nootherdifferencesinbaselinecharacteristicswere foundbetweenthesegroups.
Atinclusion, six (1.4%) patients had a BMI<18.5kg/m2, 216 (51.8%)patientshadaBMIof18.5–25kg/m2,147(35.3%)patients had a BMI of 25–30kg/m2, and 48 (11.5%) patients had a BMI>30kg/m2.Intotal,53(12.7%)individualIBDpatientswereat riskofanimpairednutritionalstatusbasedonapositiveSNAQscore (n=45),BMI<18.5kg/m2(n=5),orboth(n=3)duringfollow-up.
Inthegeneralizedestimatingequationsanalyses,theriskofan impairednutritionalstatuswasfoundtobeassociatedwiththe occurrenceofaflareinthefollowingthreemonths(OR2.61(95% CI1.02–6.69,p=0.046)).Furthermore,inthismodelfemalesex(OR 2.12(95%CI1.08–4.15,p=0.029))wasalsoidentifiedasariskfactor forthedevelopmentofaflare,whileactivesmokingshoweda neg-ativeassociation(OR0.14(95%CI0.02-0.97,p=0.047))(Table2). Inthegeneralizedestimatingequationsmodel,medicationuseat timeofinclusionwasnotincorporatedasconfounderduetothe smallnumberofrelapsingpatientsduringfollowup.When medica-tionuseattimeofinclusionwasaddedtothemodel,acomparable increasedriskwasfound(OR2.48(95%CI0.96–6.41,p=0.061)), thoughnotsignificant.
Table2
Multivariable generalized estimating equations model: association between impairednutritionalstatusriskinIBDanddiseaseflares.
OR 95%-CI p-value
Impairednutritionalstatus 2.61 1.02-6.69 0.046b
UCphenotype 1.43 0.78–2.65 0.251
Sex,female 2.12 1.08–4.15 0.029b
Activesmokera 0.14 0.02–0.97 0.047b
Diseasedurationa 1.01 0.98–1.04 0.642
OR,Oddsratio/95%-CI,95%-Confidenceinterval.
aAtinclusion. bp-Valuebelow0.05.
4. Discussion
Inthislongitudinalstudyindailypractice,theriskofanimpaired nutritionalstatus,definedbyapositiveSNAQorBMI<18.5kg/m2, wasfoundtobeassociatedwiththeoccurrenceofaflare.
[31–34].Amicestudyontheeffectsoffastingshowed,forexample, thatchangesinimmuneresponseoccurratherearlyafter induc-ingnutritionaldeficiencies[32].After48h,activatedTcellsfrom fastedmiceshoweddecreased ability tosecreteIL-2 and IFN-y whencomparedwithcontrolfedmice.Aviciouscirclemaydevelop inwhichanimpairednutritionalstatusandintestinalinflammation affecteachother.Furthermore,malnutritionisfoundtoaffectthe microbiotacompositionandactivity,andtherebymayalsoimpact diseasecourse[35].Toourknowledge,thecurrentstudyisthefirst tospecificallyanalysetheassociationofimpairednutritional sta-tusriskonsubsequentflareoccurrence.Futurestudiesshouldalso addresspotentialunderlyingmechanisms.
Inthepresentstudy,theSNAQincombinationwithBMIwas usedasscreeningmethodforriskofanimpairednutritionalstatus, sincetheSNAQalonemayleadtounderreportinginanoutpatient setting[36].TheSNAQandMUSTbothcontainquestionson unin-tentionalweightlossandfoodintake.IncontrasttotheSNAQ,alow BMI(18.5–20or<18.5kg/m2)istakenintoaccountintheMUST questionnaire.TheMUSTmayhoweverleadtooverreportingof patientsat riskintheoutpatient setting[36].Therefore, inline withoneofthediagnosticcriteriaformalnutritionbytheEuropean SocietyforClinicalNutritionandMetabolism(ESPEN)[10],onlya BMI<18.5kg/m2wasaddedtotheSNAQtocaptureallpatientsat riskofimpairednutritionalstatusinthecurrentstudy.Fifty-three patientswereatriskofanimpairednutritionalstatusduring fol-lowup,ofwhichthemajorityofthepatients(n=45)hadapositive SNAQincombinationwithaBMI>18.5kg/m2,fivepatientshada BMI<18.5kg/m2andanegativeSNAQ,andthreepatientshadboth apositiveSNAQscoreandaBMI<18.5kg/m2.
Theoveralldistributionofourpatientsoverthedifferentweight categories(accordingtotheWorldHealthOrganizationdefinitions) [37]werecomparable withpercentagesofoverweightand obe-sityina representative healthypopulationin South-Limburg, a provinceintheNetherlands[38].ThemajorityoftheIBDpatients inthepresentstudyhadanormalBMI(51.8%)whileasignificant proportionwasoverweight (35.3%)or obese(11.5%). Duetoan unfavourablefat-muscleratio,whichisnotnecessarilyreflectedby BMI,itcannotbeexcludedthatpatientswithaBMI18.5–25kg/m2 dohaveadecreasedmusclemassandaretherebyatriskofimpaired nutritionalstatus.
Acommonlyusedmodelforanalysingthebodycompositionis thetwo-compartmentmodelinwhichbodyweightissubdivided infatmassandfatfreemass.Skeletalmusclemassrepresentsa largeproportionofthefatfreemass.Priorstudiesreportedthat changesinfatfreemass,arenotalwayscapturedbymalnutrition screeningquestionnairesinIBDpatients[20,39].Thisunderlines thenecessityinfuturestudiestocombineamalnutritionscreening questionnairewithasimple,non-invasivebodycomposition anal-ysis,andalso,toincorporatechangesinfatfreemassfortimely identificationofpatientsatrisk.Atechniquewhichcanbe con-sideredisthehandgripstrength,asparameterofmusclestrength [40].
Inthepresentstudy,flaredevelopmentwasalsofoundtobe positivelyassociatedwithfemalesexandnegativelywithsmoking statusattimeofinclusion.InCDforexample,smokingisfound toincrease theriskofa flare,whereas inUCsmokingcessation is[41].Ourfindingmaybeaffectedbyanalysisofthetotal IBD population.SeparateanalysesforCDandUCwerenotperformed duetothelimitedsamplesize,butshouldbetakenintoaccountin futurestudies.
Amajorstrengthofthepresentstudyisthelongitudinaldesign ofthestudyinarelativelylarge,unselectedoutpatientstudy popu-lation.Thestudypopulationwasfoundtoberepresentativeforthe generalIBDpopulationintheSouthLimburgarea[22,42]. Further-more,bytheuseoftelemedicine,diseaseactivity,andmalnutrition screeningriskweremeasuredrepeatedlyandstandardized.
How-ever,somelimitationsofthisstudyshouldbeaddressed.Forthe present explorative study,available data fromthe myIBDcoach studywasused.Therefore,nosample sizecalculationhasbeen performed,andwewerenotabletocorrectforallpotential con-foundersforflaredevelopment,suchaspriorsurgery,timesince last flare,andprior smokingstatus. Thepresent studyshows a significantassociation betweenimpaired nutritional status risk and flareoccurrences in theentire IBD cohort. Separate analy-sesforCDandUCwerenotperformedduetoasmallnumberof patients.However,theseanalysesareofinterestsincefactors influ-encingflareoccurrencemaydifferbetweenthesephenotypes,and shouldbeincludedin futurestudies.Furthermore,ongoing his-tologicalinflammationattimeofinclusionandduringfollowup cannotbecompletelyexcluded,sincediseaseactivitywas moni-toredbyclinicalparameters.However,topreventcarryovereffects ofhistologicalinflammation,thefirstthreemonthsfrompatients withquiescentdiseasewereexcludedfromtheanalyses.Finally,it shouldbetakenintoaccountthatflarescanbeaffectedbyenteral nutrition,particularlyinCD[43].However,inthepresentstudy, useofenteralnutritionwaslimitedandwasnotfoundtoimpact ourfindings(datanotshown).
Theaimofthepresentexplorativestudywastoinvestigatean associationbetweentheriskofanimpairednutritionalstatusand flareoccurrence.Inclinicalpractice,ithasalreadybeenshownthat earlytreatmentofmalnourishedinpatientsforanydiseaseor oper-ation,basedonscreening,leadstoashorterlengthofhospitalstay andiscost-effective[44].Sincethisisthefirstlongitudinalstudy analysingtheassociation of impairednutritional status risk on flareoccurrences,ourresultsshouldbeconfirmedinothercohorts. Largerlongitudinalstudiesontheimpactofanimpairednutritional statusrisk,incorporatingbodycompositionanalysisandmuscle strength,andtakingconfoundersandseparateanalysisforCDand UCintoaccount,areofspecialinteresttoconfirmtheactualeffect ondiseaseactivity.Additionally,studiesontimelydietaryand/or physiotherapyinterventions,aimingtoimprovenutritionalstatus andtreatmentoutcomearewarranted.
Inconclusion,inthepresentlongitudinalobservationalstudy, wefoundanassociationbetweenthepresenceoftheriskofan impairednutritionalstatusandIBDflareoccurrence.This empha-sizestheimportanceofmonitoringdiseaseactivityinIBDpatients atriskofanimpairednutritionalstatus.
Conflictofinterest
Nonedeclared.
Funding
Forthepresent study,datafromthemyIBDcoachstudy was used. The myIBDcoach trial was supported by an academic incentive fund of the Maastricht University Medical Centre+ (31962340B).MyIBDcoachwasdevelopedbySananetBVusingan unrestrictedgrantfromFerring.
Acknowledgements
J. Haans, M. Cilissen, H. Tomlow, E. Keulen, J. Wilbrink, L. Colautti-Duijsens,M.Verwey,N.Peek,H.Slingerland,R. Veenen-daal,N.Ipenburg,M.vanKouwen,M.SomersK.Achterberg,E.Smit, M.Spruit.
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