www.elsevier.pt/ge
ORIGINAL ARTICLE
Can Red Cell Distribution Width Be Used as a Marker of Crohn’s Disease Activity?
Ana Maria Oliveira
∗, Filipe Sousa Cardoso, Catarina Grac ¸a Rodrigues, Liliana Santos, Alexandra Martins, João Ramos de Deus, Jorge Reis
GastroenterologyDepartment,HospitalProf.DoutorFernandoFonseca,Amadora,Portugal
Received7August2015;accepted11October2015 Availableonline24November2015
KEYWORDS CrohnDisease;
ErythrocyteIndices
Abstract
Introduction:Recently,ithasbeensuggestedanassociationbetweenredcelldistributionwidth (RDW)andCrohn’sdiseaseactivityindex(CDAI),butitsuseisnotyetperformedindailyclinical practice.
Objectives:TodeterminewhetherRDWcanbeusedasamarkerofCrohn’sdisease(CD)activity.
Methods:Thiswasacross-sectionalstudyincludingpatientswithCD,observedconsecutively inanoutpatientsettingbetween January 1standSeptember30th2013. Bloodcellindices, erythrocytesedimentationrate(ESR),andC-reactiveproteinweremeasured.CDactivitywas determinedby CDAI(active diseaseif CDAI≥150).Associationswere analyzedusinglogistic regression(SPSSversion20).
Results:119patients (56%female) wereincludedinthestudy withameanageof47years (SD15.2).Twentypatients(17%)hadactivedisease.ThemedianRDWwas14.0(13---15).There wasanassociationbetweenRDWanddiseaseactivity(p=0.044).Afteradjustmentforageand gender,thisassociationremainedconsistent(OR1.20,95%CI1.03---1.39,p=0.016).Itwasalso foundthattheassociationbetweenRDWanddiseaseactivitywasindependentofhemoglobin andESR(OR1.36,95%CI1.08---1.72,p=0.01)andofbiologictherapy(OR1.19,95%CI1.03---1.37, p=0.017).ARDWcutoffof16%hadaspecificityandnegativepredictivevalueforCDAI≥150 of88%and86%,respectively.
∗Correspondingauthor.
E-mailaddress:[email protected](A.M.Oliveira).
http://dx.doi.org/10.1016/j.jpge.2015.10.003
2341-4545/©2015SociedadePortuguesadeGastrenterologia.PublishedbyElsevierEspaña,S.L.U.Thisisanopenaccessarticleunderthe CCBY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Conclusion: Inthisstudy,RDWprovedtobeanindependentandrelativelyspecificmarkerof CDactivity.Theseresultsmaycontributetotheimplementationofthissimpleparameter,in clinicalpractice,aimingtohelptherapeuticdecisions.
© 2015 Sociedade Portuguesa de Gastrenterologia. Published by Elsevier España, S.L.U.
ThisisanopenaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.org/
licenses/by-nc-nd/4.0/).
PALAVRAS-CHAVE Doenc¸adeCrohn;
ÍndicesdeEritrócitos
AAmplitudedeDistribuic¸ãodosGlóbulosVermelhos(RDW)PodeSerConsiderado ComoumMarcadordaAtividadedaDoenc¸adeCrohn?
Resumo
Introduc¸ão: Recentemente,temvindoasersugeridaumaassociac¸ãoentreovalordeRDWe aatividadedadoenc¸adeCrohn(DC),mas asuautilizac¸ãonão estáaindaimplementadana práticaclínicadiária.
Objetivos: DeterminarseoRDWpodeserutilizadocomomarcadordeatividadedaDC.
Métodos: Estudotransversal,emdoentescomDC,observadosconsecutivamenteemconsulta deDoenc¸aInflamatóriaIntestinal,entre1dejaneiroe30desetembrode2013.Analisaram-se índicesdohemograma,proteínaCreativaevelocidadedesedimentac¸ão.Agravidadedadoenc¸a foi avaliadapeloCrohn’sdiseaseactivity index(doenc¸a ativaseCDAI≥150). Asassociac¸ões foramestudadasusandoaregressãologística(SPSSStatisticsV20).
Resultados: Incluídos119doentes(56%dosexofeminino),comidademédiade47anos(DP15,2 anos).Vintedoentes(17%)tinhamdoenc¸aativa.OvalordoRDWmedianofoi14,0%(13-15).
Verificou-seumaassociac¸ãoentreRDWeatividadedadoenc¸a(p=0,044).Apósajusteparaa idadeeosexo,estaassociac¸ãomanteve-seconsistente(OR1,20;95%CI1,03-1,39;p=0,016).
Verificou-seaindaqueaassociac¸ãodovalordoRDWcomaatividadedadoenc¸afoiindependente dovalordahemoglobinaedavelocidadedesedimentac¸ão(OR1,36;95%CI1,08-1,72;p=0,01) edaterapêuticabiológica(OR1,19;95%CI1,03-1,37;p=0,017).Paraumvalor decortede RDWde16%,aespecificidadeeovalorpreditivonegativodeCDAI≥150foramde88%e86%, respetivamente.
Conclusão:Nesteestudo,ovalordoRDWdemonstrouserum marcadorindependenteerel- ativamenteespecíficodaatividadedadoenc¸adeCrohn.Estesresultadospoderãocontribuir paraaaplicac¸ãodesteparâmetrosimples,napráticaclinicadiária,visandoauxiliardecisões terapêuticas.
© 2015 Sociedade Portuguesa de Gastrenterologia. Publicado por Elsevier España, S.L.U.
Este éum artigo OpenAccess sob alicençade CCBY-NC-ND(http://creativecommons.org/
licenses/by-nc-nd/4.0/).
1. Introduction
Crohn’sdisease (CD) is achronic inflammatory bowel dis- ease (IBD) characterized by a relapsing-remitting clinical behavior.1 Forthis reason,the assessment ofthe severity ofIBDandthemonitoringofdiseaseactivityareimportant issues.2
Currently,endoscopywithbiopsyisconsideredthegold standard for the evaluation of mucosal inflammation.2,4 However, endoscopy is invasive and requires good bowel cleansing,aprocedure thatispoorlyacceptedbypatients and potentially harmful.1,2 Therefore, CD activity index (CDAI) is still accepted to grade CD activity by inter- national guidelines, namely European Crohn’s and Colitis Organization(ECCO).Despitebeingbasedmainlyinclinical parameters,itremainstheprincipalindexforevaluatingCD patients’outcomesinclinicalstudies.Clinicalremissionis acceptedasaCDAIof<150.3
To improve non-invasive monitoring of CD activity, numerousbiomarkers(e.g.C-reactiveprotein(CRP),eryth- rocyte sedimentation rate (ESR), leukocyte and platelet counts,albumin, fecalcalprotectin and lactoferrin)5 have beenproposedbutfewhaveproventobeclinicallyusefulin IBD.1,6Nevertheless,CRPhasbeenincludedasanancillary testtomonitorCDactivitybyECCOguidelines.3
Redcelldistributionwidth(RDW)isaquantitativemea- sureofvariabilityinthesizeofcirculatingerythrocytes.7,8 It is routinely measured by automated hematology ana- lyzers and is usually reported as a component of the completebloodcount(CBC),9 thusnotimplyingadditional costs.10,11 Until recently, it was used mainly to differen- tiate iron deficiency anemia from thalassemia trait.11,12 However,in the last years,numerous studies have shown that a higher RDW is associated with several patho- logic conditions, including heart failure,9 acute coronary syndrome,13atherosclerosis,14pulmonaryimpairment,15and
venous thromboembolism.16 Also, some studies have sug- gestedthatRDWmaybean inflammatorymarkerfor IBD, mainlyinaninpatientsetting.17,18
Since RDW is easily accessible and relatively cheap, understandingitsprognosticsignificancein thecontextof CD could be useful to optimize clinical decisions. Conse- quently, we hypothesized that RDW may be a surrogate markerofCDactivity,notonlyinan inpatientsetting,but alsoinanoutpatientsetting.Accordingly,thepurposeofthis studywas,firstly,todeterminewhetherRDWisassociated withCDAI;and,secondly,toidentifyapossibleRDWcutoff withclinicalapplicabilityforanoutpatientsetting.
2. Materials and methods
2.1. Design,setting,andparticipants
Thiswasacross-sectionalobservationalstudyperformedat theGastroenterologyDepartmentofalargedistricthospital (Prof.DoutorFernandoFonsecaHospital,Amadora,Portu- gal).
AllCDpatients(ascertainedbystandardclinical,radio- logical,histological,andendoscopiccriteria)3 observedin theIBDoutpatientclinicbetweenJanuary1standSeptem- ber30th2013, withlaboratoryevaluation upto2months beforetheclinic visitwereincluded inthestudy.Patients withfollow-up at our clinic for less than 6 months, with laboratoryevaluationdonemorethan2monthsbeforethe clinicvisit,orwithlackofinformationtoassessCDAIwere excludedfromthestudy.
2.2. Variablesandprimaryoutcome
Specificpatients’ characteristics considered were thefol- lowing:age,sex,MontrealclassificationofCD,20 bloodcell indices (RDW, hemoglobin, mean cellular volume (MCV), leukocyte(WBC)and platelet(PLT)counts), inflammatory biochemical parameters (CRP and ESR), and medication relatedtoCD.InourDepartment,CDmanagementfollows ECCOguidelines.21
Primary outcome was defined asCD activity measured byCDAI.Thisindexisanumericalcalculationderivedfrom thesumofeightitems,each consideredafteradjustment with a weighting factor. CDAI items include: number of liquid or very soft stools, abdominal pain score, general wellbeing, symptoms related to CD (arthritis or arthral- gia,iritisoruveitis,mucocutaneouslesions(e.g.erythema nodosum, pyoderma gangrenosum, aphthous stomatitis), anal disease (e.g. fissure, fistula), external fistula (e.g.
skin, bladder,vagina),fever >37.8◦C), antidiarrhealmed- icationsuse,abdominalmass,47minushematocrit(males) or42minushematocrit(females)and1−x(1−bodyweight dividedbyastandardweight).19PatientswhohadCDAI≥150 wereaccepted ashaving activedisease, whilst CDAI<150 definedclinicalremission.3
2.3. Statisticalanalysis
Continuousvariableswerereportedasmeanandstandard deviation (SD), if normally distributed, or median and
interquartilerange(IQR),ifnon-normallydistributed.Cate- goricalvariableswerereportedasabsolutenumber(n)and proportion(%).
Group comparisons of continuous variables were per- formed using Student t-test or Mann---Whitney test, as appropriate. 2 test or Fisher’s exact test were used for groupcomparisonsofcategoricalvariables.
Logisticregression wasused tostudy associationswith theprimaryoutcome. Selectionof variablesfor multivari- ateanalysiswasbasedonclinicallyrelevantknowledgeand univariatecomparisonsyieldingap<0.15.Aforwardstep- wiseprocesswasusedfor theselection ofvariablestobe includedinfinalmodels.Collinearbehaviorwasstudiedand corrected where applicable.Models’discriminative ability wasassessedbyc-statistic.
A RDW cutoff point with clinical utility was studied throughanalysisofthecoordinatepointsofROCcurve.Sen- sitivity,specificity, negativepredictivevalue, andpositive predictive value were calculated for the selected cutoff point.
All statistical tests were two-sided and a p<0.05 was consideredtobesignificant.
StatisticalanalyseswereperformedusingSPSS®,version 20.0(IBM,NewYork).
3. Results
3.1. Baselinecharacteristics
During the study period considered, 119 patients were included. Females comprised56.3% (n=67)andmean age was47years(SD,15.2years).
AccordingtotheMontrealclassification,20thepredomi- nantfeaturespresentfromtheonsetofdiseasewereanage between17and40years(A2)(n=67;56.3%);terminalileal disease location(L1) (n=62; 52%);and non-stenosing and non-penetratingdiseasebehavior(B1)(n=66;56%).Perianal diseasewasdiagnosedin24%(n=28)ofpatients.
Thiopurinesandanti-tumornecrosisfactor-␣(anti-TNF-
␣) drugs were in use by 40.3% (n=48) and 21% (n=25), respectively(with8.4%(n=10)patientstakingbothdrugs).
BaselinecharacteristicsaredepictedinTable1.
Anemia(definedashemoglobin<13g/dLifmalegender;
orhemoglobin<12g/dLiffemalegender)22 waspresent in 29.4%(n=35)ofpatients.
ThemedianRDWwas14.0(13---15);themedianCRPwas 1.0mg/dL(1.0---3.75)andmeanESRwas33mm.
Concerning CD activity measured by CDAI, 17% (n=20) ofCDpatientshadactivedisease(CDAI≥150)whereas83%
(n=99)wereinclinicalremission.
TenpatientswithCDAI≥150hadCRP≥1.0mg/dL.
3.2. Univariateanalysis
Inunivariatecomparisons,RDW(14.5(13---17)vs13(13---14);
p=0.044),andanti-TNF-␣drugs(40%vs17%;p=0.044)were theonlyfactorsassociatedwithCDAI≥150.
AlbeitnotstatisticallysignificantassociatedwithCDAI, there was a trend toward association between age, ileo- colic location,perianal diseaseandhemoglobinvalue and activedisease(Table1).Theothervariablesanalyzed,with
Table1 OverallbaselinecharacteristicsandunivariatecomparisonsbasedondiseaseactivitymeasuredbyCDAI.
n(%),mean(SD),ormedian(IQR) CDAI<150 p-Value
Total CDAI≥150 (n=99)
(n=119) (n=20)
Gender,female 67(56.3%) 13/20(65%) 54/99(54.5%) 0.39
Age,years 47(15.2) 48(15.3) 41(14.2) 0.076
Ageatdiagnosis,years 36.49(14.87) 32.3(11.75) 37.35(15.34) 0.168
<16years 6(5%) 1/20(5%) 19/20(95%) 1.0
17---39 67(56.3%) 13/20(65%) 7/20(35%) 0.39
≥40 46(38.7%) 6/20(30%) 14/20(70%) 0.38
Location,n(%)
Ileal 62(52%) 8/20(40%) 54/99(55%) 0.24
Colonic 15(13%) 2/20(10%) 13/99(13%) 1
Ileocolic 38(32%) 10/20(50%) 28/99(28%) 0.06
Uppergastrointestinaltract 16(13%) 3/20(15%) 13/99(13%) 0.73
Behavior
Non-stenosing,non-penetrating 66(55%) 13/20(65%) 53/99(53%) 0.35
Stenosing 28(24%) 3/20(15%) 25/99(25%) 0.32
Penetrating 25(21%) 4/20(20%) 21/99(21%) 1
Perianaldisease 28(24%) 8/20(40%) 20/99(20%) 0.06
Therapeutic
5-ASAsolely 34(28.6%) 0 34/99(34%) 0.001
Thiopurine 48(40.3%) 10/20(50%) 38/99(38%) 0.33
Anti-TNF-␣drugs 25(21%) 8/20(40%) 17/99(17%) 0.02
Laboratoryvalues
RDW(n=119) 14.0(13---15) 14.5(13---17) 13(13---14) 0.044
RDW≥16(n=119) 18(15.1%) 6/20(30%) 12/99(12%) 0.042
Hgb(g/dL)(n=119) 12.96(1.9) 12.27(1.8) 13.11(1.9) 0.07
Anemia(n=119) 35(29.4%) 8/20(40%) 27/99(27%) 0.26
MCV(fL)(n=117) 89.4(7.8) 88.9(9.5) 89.56(7.44) 0.73
PLT(uL)(n=118) 286200.85(102750.04) 298300.00(91909.6) 283731.63(105087.6) 0.57 WBC(uL)(n=119) 7344.66(2849.9) 7490.35(3636.03) 7315.2(2685.38) 0.80 CRP(mg/dL)(n=60) 1.0(1.0---3.75) 1.0(0---4.75) 1.0(1.0---3.25) 0.69
ESR(mm)(n=75) 33.44(25.82) 33.92(32.46) 33.35(24.68) 0.95
n,frequency;SD,standarddeviation;IQR,inter-quartilerange;CDAI,Crohn’sdiseaseactivityindex;RDW,redcelldistributionwidth;Hgb, hemoglobin;WBC,whitebloodcellcount;PLT,plateletcount;Anti-TNF-␣,anti-tumornecrosisfactor-␣;ESR,erythrocytesedimentation rate;CRP,C-reactiveprotein.
Anemiawasdefinedashemoglobin<13g/dLifmalegender;orhemoglobin<12g/dLiffemalegender.
aspecialfocusonCRPandESR,werenotsignificantlydif- ferentbetweenpatientswithCDAI<150andpatientswith CDAI≥150.
3.3. Multivariateanalysis
Inmultivariateanalysis,afteradjustingforageandgender, RDWwasassociatedwithCDAI≥150.Inthesub-population ofpatientswithoutanemia,RDWwasalsoassociatedwith CDAI,evenafteradjustingforageandgender(Table2).
Subsequently,inordertobetterstudytheassociationof RDWwithCDAI≥150, threefurthermodelswerederived.
AsdepictedinTable3,RDWwasindependentlyandconsis- tentlyassociatedwithCDAIafteradjustingforhemoglobin andESR(Model1),orileocolicandperianaldisease(Model 2),oranti-TNF-␣therapy(Model3).
Finally, through analysis of coordinate points of ROC curve, the cutoff16% was deemed the bestin prognosti- catingactivedisease(AUC0.64:95%CI:0.5---0.78);inherent sensitivity,specificity,negativepredictivevalue,andposi- tivepredictivevalueof30%,88%,86%and33%,respectively (Fig.1).
4. Discussion
Inthistransversalstudy,wefoundthatanincreaseinRDW, asimpleparameter thatis reportedaspart ofa standard completebloodcount,wasassociatedwiththeseverityof Crohn’sdisease,assessedbyCDAI.
This association remained consistent after adjustment for clinical, laboratory parameters and therapy (age, gender,diseaselocation,perianaldisease,hemoglobinand
Table2 IndependentindicatorsassociationwithactiveCDbymultivariatelogisticregressionanalysis.
Indicator CDpatients CDwithoutanemia
OR(95%CI) p-Value OR(95%CI) p-Value
RDW 1.20(1.03---1.39) 0.016 1.59(1.10---2.31) 0.014
Gender 1.42(0.50---4.05) 0.510 3.06(0.6---15.6) 0.178
Age 0.97(0.93---1.02) 0.065 0.99(0.94---1.04) 0.614
MultivariatelogisticregressionanalysisforRDW,gender,age,andhemoglobin.
RDW,redcelldistributionwidth.
Table3 MultivariatelogisticregressionanalysisfortheassociationbetweenRDWandCDAI.
Model1 Model2 Model3
OR(95%CI) p OR(95%CI) p OR(95%CI) p
RDW 1.36(1.08---1.72) 0.01 1.18(1.03---1.35) 0.017 1.19(1.03---1.37) 0.017
ESR 0.99(0.96---1.02) 0.38
Hemoglobin 1.04(0.70---1.53) 0.85
Ileocolicdisease 2.09(0.74---5.9) 0.165
Perianaldisease 2.27(0.77---6.69) 0.138
Biologictherapy 3.33(1.13---9.78) 0.029
RDW,redcelldistributionwidth;ESR,erythrocytesedimentationrateOR,oddsratio;CI,confidenceinterval.
Model1:2test9(degreesoffreedom:3);p=0.030;areaunderROCcurve:0.73(95%CI:0.58,0.89);n=75patients.
Model2:2test11(degreesoffreedom:3);p=0.012;areaunderROCcurve:0.71(95%CI:0.58,0.84);n=119patients.
Model3:2test10.5(degreesoffreedom:2);p=0.005;areaunderROCcurve:0.70(95%CI:0.55,0.84);n=119patients.
1,0
0,8
0,6
0,4
0,2
0,0
0,0 0,2 0,4 0,6 0,8 1,0
1 - specificity
Sensitivity
Figure1 ROCcurveforRDW(theareaunderthecurveis0.64, p=0.04).ROC,receiveroperatingcharacteristic.
erythrocyte sedimentation rate, and anti-TNF-␣ drugs).
Theseresultsareinlinewithpreviousrecentresults.9,17,18,23 Themechanismsthatmediatetherelationshipbetween highRDWvaluesandincreasedCDactivityarestillunknown.
An elevated RDW is commonly found when there is a nutritionaldeficiency,such asiron,folate,or vitamin B12 deficiency.24 Also, conditions that cause more immature
cellstobereleasedintothebloodstream(severebloodloss), abnormalhemoglobins(e.g.sicklecellanemia),orhemol- ysiscanalsomodifytheshapeofredbloodcells,resulting froman increased RDW.25 Also,it hasbeen demonstrated thatachronicinflammatorystatemaycontributetoineffec- tiveerythropoiesiscausingimmatureerythrocytestoenter thecirculation,resultinginelevated RDW.Severalmecha- nismsarebelievedtomediatetherelationshipbetweenthe chronic inflammatory state and ineffective erythropoiesis leadingtoelevatedRDW.26,27Proinflammatorycytokineslike tumor necrosisfactor-␣and interleukin-6mayhinderery- thropoiesis via directsuppression of erythroidprecursors, promotionofapoptosisofprecursorcells,enhancementof erythropoietin resistance in the precursor cell lines and reductionin bioavailabilityof ironforhemoglobinsynthe- sis.Higheroxidativestressmayreduceerythrocytelife-span andthusmayresultinanisocytosisduetoanincreaseinthe proportionofcirculatingprematureerythrocytes.26---28
ThemajorityofpatientsobservedintheIBDoutpatient clinicwereinclinicalremission,assessedbyCDAI.Only17%
wereconsideredtohaveactivedisease,despitethefactthat 45%ofpatientshadcomplicatedCD,definedasstricturing orpenetratingbehavior.
One interesting finding was that median CRP value was 1mg/dL both in patients in clinical remission and in patientswithactivedisease,whichisnearthenormalvalue (<0.3mg/dL). As CRP is considered an objective marker of inflammation,5 the lowvalue may beexplainedby low inflammatoryactivitydespitehavingactivediseaseaccord- ingtoCDAI.
Inthisstudy,weanalyzedtheassociationbetweenhema- tologicalparameters(includinghemoglobin,MCV,RDW,PLT,
andWBC),CRP,andESRwithCDAI.Throughunivariatecom- parisons, we demonstrated RDW was the only laboratory parameterindependentlyassociatedwithCDAI.
Multivariate logistic regression analysis revealed that RDW was associated with CDAI considering all patients included in the study (anemic and non-anemic patients), evenafteradjustingfordemographicdata(ageandgender).
Theseresultsweresimilarinthesub-populationofpatients without anemia,which is an importantfindingthat is not completelyunderstood.
Song et al.17 reportedidentical results. In their study, theyshowedRDWwashighlycorrelatedwithdiseaseactivity innon-anemicpatientsaswellasanemicpatientswithIBD.
InthestudyperformedbyCakaletal.,23itwasalsofound thatRDWwassignificantlyelevatedinpatientshavingactive IBDcomparedwiththosewithoutactivedisease.
Furthermore,hemoglobinandESR,ileocolicandperianal disease,andanti-TNF-␣therapydidnotconsiderablymod- ifytheassociation betweenRDWandCDAI.Itisparticular relevantthefactthattheassociationbetweenRDWandCD activitywasindependentofanti-TNF-␣drugs.Wedothink thisfindingmaybeduetoa moreseverediseasewhichis indeedmoredifficulttocontrol.
TheseresultsareinlinewiththeonesreportedbySong and colleagues.17 In multivariate analysis, after adjusting forpatientdemographicsandhematologicparameters,the authorsshowedRDWwasassociatedwithCDAI≥150.
Finally,thisstudy revealedRDWcutoffof16%hadhigh specificityandnegativepredictivevaluefordeterminingthe diseaseactivityinCDpatients,albeitwithalowsensitivity.
The low positive predictive value maybe due to thelow prevalenceofprimaryoutcome.
In the study performed by Yesil etal.,18 a RDWcutoff of14.7hadasensitivityof 45%andaspecificityof96%in detectingactiveCD.However,intheCakaletal.’s23 study aRDWcutoffof14.1showed78% sensitivityandonly63%
specificitytodetectactiveCD.
4.1. Strengthsandlimitations
Thisstudyhassomelimitationsthatmaybereferred.
First, this is an observational study performed in one hospitalonly. Forthis reason,it ispronetoselection bias andlimitedgeneralization.Second,thesizeofourpopula- tionwithactivediseasewassmallduetothefactthatall patientsincluded werein outpatientsetting.Futurestud- ieswithalargerpopulationofactiveCDpatientswillallow to accurately identify the degree of RDW increase which revealsactivedisease.Third,ironstatuswasnotdetermined (which,asdiscussedabove,mayinfluenceRDWvalues).
Strengthsofthisstudyincludethefactthatallpatients includedwereinoutpatientsettingandassociationbetween RDW and CDAI was adjusted for clinical and laboratory parametersthatarerelevantindailyclinicalpractice.
Second,RDWisroutinelymeasuredbyautomatedhema- tology analysers and is reported as a component of the complete blood. Thus, testing RDW is easy to perform, affordableanddoesnotrequireanyadditionalcosts.
Ifinfutureoflargeprospectivestudies,RDWisconfirmed tobean accurateparameter for diseaseactivitymonitor- ing, this could impact positively outpatient IBP patients’
surveillanceanddecisionmaking.
5. Conclusion
Inconclusion,inthisstudywedemonstratedRDWwasasso- ciated with the severity of Crohn’s disease, assessed by Crohn’sdiseaseactivityindex.TheRDWcutoff16%showed possibleclinicalapplicability.
Conflicts of interest
Theauthorshavenoconflictsofinteresttodeclare.
Ethical disclosures
Protection of human and animal subjects.The authors declarethat the proceduresfollowed were inaccordance withtheregulationsoftherelevantclinicalresearchethics committeeandwiththoseoftheCodeofEthicsoftheWorld MedicalAssociation(DeclarationofHelsinki).
Confidentialityofdata.Theauthorsdeclarethattheyhave followedtheprotocolsoftheirworkcenteronthepublica- tionofpatientdata.
Righttoprivacyandinformedconsent.Theauthorshave obtainedthe written informed consentof the patients or subjectsmentionedinthearticle.Thecorrespondingauthor isinpossessionofthisdocument.
References
1.D’IncàR,CaccaroR.MeasurediseaseactivityinCrohn’sdisease:
whatiscurrentlyavailabletotheclinician.ClinExpGastroen- terol.2014;7:151---61.
2.BurriE,BeglingerC.Faecalcalprotectin---ausefultoolinthe managementofinflammatoryboweldisease.SwissMedWkly.
2012;142:w13557.
3.VanAsscheG,DignassA,PanesJ,BeaugerieL,KaragiannisJ, AllezM,EuropeanCrohn’sandColitisOrganisation(ECCO).The second European evidence-based consensuson the diagnosis andmanagementofCrohn’sdisease:definitionsanddiagnosis.
JCrohn’sColitis.2010;4:7---27.
4.MacKalski B, Bernstein C. New diagnostic imaging tools for inflammatoryboweldisease.Gut.2006;55:733---41.
5.VermeireS,VanAsscheG,RutgeertsP.Laboratorymarkersin IBD:useful,magic,orunnecessarytoys.Gut.2006;55:426---31.
6.Papay P, Ignjatovic A, Karmiris K, Amarante H, Milheller P, FeaganB,etal.Optimisingmonitoringinthemanagementof Crohn’sdisease: a physician’sperspective.J Crohn’sColitis.
2013;7:653---69.
7.Patel KV,SembaRD, FerrucciL, NewmanAB, FriedLP,Wal- lace RB, et al. Red cell distribution width and mortalityin olderadults:a meta-analysis.JGerontolABiolSci MedSci.
2010;65:258---65.
8.ClarkeK,SagunarthyR,KansalS.RDWasanadditionalmarker ininflammatoryboweldisease/undifferentiatedcolitis.DigDis Sci.2008;53:2521---3.
9.ArhanM,ÖnalI,TasA,KurtM,KalkanI,ÖzinY,etal.Therole ofredcelldistributionwidthasamarkerininflammatorybowel disease.TurkJMedSci.2011;41:227---34.
10.KarnadA,PoskittTR.Theautomatedcompletebloodcellcount.
Useoftheredbloodcellvolumedistributionwidthandmean platelet volumeinevaluatinganemiaandthrombocytopenia.
ArchInternMed.1985;145:1270---2.
11.BuchAC,KarvePP,PanickerNK,SingruSA,GuptaSC.Roleof redcelldistributionwidthinclassifyingmicrocytichypochromic anaemia.JIndianMedAssoc.2011;109:297---9.
12.ZhuA,KaneshiroM,KaunitzJD.Evaluationandtreatmentof irondeficiencyanemia:agastroenterologicalperspective.Dig DisSci.2010;55:548---59.
13.NabaisS,LosaN,GasparA,RochaS,CostaJ,AzevedoP,etal.
Associationbetweenredbloodcelldistributionwidthandout- comesatsixmonthsinpatientswithacutecoronarysyndromes.
RevPortCardiol.2009Sep;28:905---24.
14.WenY.Highredbloodcelldistributionwidthiscloselyassoci- atedwithriskofcarotidarteryatherosclerosisinpatientswith hypertension.ExpClinCardiol.2010;15:37---40.
15.SubhashreeA,ShanthiB,ParameaswariP.Theredcelldistribu- tionwidthasasensitivebiomarkerforassessingthepulmonary functioninautomobilewelders---acrosssectionalstudy.JClin DiagnRes.2013;7:89---92.
16.Zöller B, Melander O, Svensson P, Engström G. Red cell distribution width and risk for venous thromboembolism: a population-basedcohortstudy.ThrombRes.2014;133:334---9.
17.SongCS, ParkDI,YoonMY,SeokHS,ParkJH,KimHJ, etal.
Association between red cell distribution width and disease activityinpatientswithinflammatoryboweldisease. DigDis Sci.2012;57:1033---8.
18.Yesil A, S¸enates¸E, Bayo˘glu I,Erdem E,Demirtunc¸R, Övünc¸ A. Redcell distribution width:a novelmarker ofactivity in inflammatoryboweldisease.GutLiver.2011;5:460---7.
19.Freeman HJ. Use of the Crohn’s disease activity index in clinical trials of biological agents. World J Gastroenterol.
2008;14:4127---30.
20.SatsangiJ,SilverbergMS,VermeireS,ColombelJF.TheMontreal classification of inflammatory bowel disease: controversies, consensus,andimplications.Gut.2006;55:749---53.
21.Dignass A, VanAsscheG, Lindsay JO,Lémann M,Söderholm J,ColombelJF,etal.EuropeanCrohn’sandColitisOrganisa- tion(ECCO).ThesecondEuropeanevidence-based consensus onthediagnosisandmanagementofCrohn’sdisease:current management.JCrohn’sColitis.2010;4:28---62.
22.WHO. Vitamin and mineral nutrition information sys- tem. Geneva: World Health Organization; 2011. WHO/
NMH/NHD/MNM/11.1. http://www.who.int/vmnis/indicators/
haemoglobin.pdf[accessed30.12.14].
23.Cakal B, Akoz AG,Ustundag Y, Yalinkilic M,Ulker A, Ankar- aliH.Redcelldistributionwidthforassessmentofactivityof inflammatoryboweldisease.DigDisSci.2009;54:842---7.
24.RezendeS,LijferingW,RosendaalF,CannegieterS.Hematologic variablesandvenousthrombosis:redcelldistributionwidthand bloodmonocyte countare associatedwithanincreasedrisk.
Hematologica.2014;99:194---200.
25.Lippi G, Targher G, Montagnana M, Salvagno GL, Zoppini G, Guidi GC. Relation between red blood cell distribu- tion width and inflammatory biomarkers in a large cohort of unselected outpatients. Arch Pathol Lab Med. 2009;133:
628---32.
26.Agarwal S. Red cell distribution width, inflammatory mark- ers and cardiorespiratory fitness: results from the National Health and Nutrition Examination Survey. Indian Heart J.
2012;64:380---7.
27.FelkerGM,AllenLA,PocockSJ,ShawLK,McMurrayJJ,Pfef- ferMA,etal.CHARMInvestigators.Redcelldistributionwidth asanovelprognosticmarkerin heartfailure:datafrom the CHARM Program and theDuke Databank. JAm CollCardiol.
2007;50:40---7.
28.PatelK,FerrucciL, ErshlerW, LongoD,GuralnikJ. Redcell distributionwidthandtheriskofdeathinmiddle-agedandolder adults.ArchInternMed.2009;169:515---23.