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Acta
Tropica
j ourna l h o m e pa g e :w w w . e l s e v i e r . c o m / l o c a t e / a c t a t r o p i c a
Neurocysticercosis-related
mortality
in
Brazil,
2000–2011:
Epidemiology
of
a
neglected
neurologic
cause
of
death
Francisco
Rogerlândio
Martins-Melo
a,b,
Alberto
Novaes
Ramos
Jr.
a,
Marta
Guimarães
Cavalcanti
c,
Carlos
Henrique
Alencar
a,
Jorg
Heukelbach
a,d,∗aDepartmentofCommunityHealth,SchoolofMedicine,FederalUniversityofCeará,RuaProfessorCostaMendes,1608,RodolfoTeófilo,60430-140
Fortaleza,CE,Brazil
bFederalInstituteofEducation,ScienceandTechnologyofCeará,RuaEngenheiroJoãoAlfredo,s/n,Pabussu,61600-000Caucaia,CE,Brazil
cInfectiousandParasiticDiseasesService,ClementinoFragaFilhoUniversityHospital,FederalUniversityofRiodeJaneiro,RuaRodolphoPauloRocco,255,
CidadeUniversitária,21941-913RiodeJaneiro,RJ,Brazil
dAntonBreinlCentreforPublicHealthandCollegeofPublicHealth,MedicalandVeterinarySciences,DivisionofTropicalHealthandMedicine,JamesCook
University,Townsville,QLD4811,Australia
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received5June2015
Receivedinrevisedform
23September2015
Accepted16October2015
Availableonline23October2015
Keywords:
Neurocysticercosis
T.solium
Mortality Epidemiology
Timetrendanalysis
Spatialanalysis
Brazil
a
b
s
t
r
a
c
t
Neurocysticercosis(NCC)isanimportantcauseofsevereneurologicaldiseasemainlyinlow-and middle-incomecountries,butdataonNCCmortalityfromendemicareasarescarce.Hereweanalysedthe epidemiologicalpatternsofNCC-relatedmortalityinBrazil.WeincludedalldeathsrecordedinBrazil between2000and2011,inwhichNCCwasmentionedondeathcertificates,eitherasunderlyingor asassociatedcauseofdeath.NCCwasidentifiedin1829/12,491,280deaths(0.015%),1130(61.8%)as underlyingcause,and699(38.2%)asassociatedcause.Overallage-adjustedmortalityratefortheperiod was0.97deaths/1,000,000inhabitants(95%confidenceinterval[CI]:0.83–1.12).ThehighestNCC-related mortalityrateswerefoundinmales,elderly,whiterace/colourandresidentsinendemicstates/regions. Age-adjustedmortalityratesatnationalleveldecreasedsignificantlyovertime(annualpercentchange [APC]:−4.7;95%CI:−6.0to−3.3),withadecreaseintheSoutheast,SouthandCentral-Westregions, andanon-significantincreasingtrendintheNorthandNortheastregions.Weidentifiedspatialand spatiotemporalhigh-riskmortalityclusterslocatedmainlyinNCC-endemicareas.Conditionsrelatedto thenervoussystemwerethemostcommonlyassociatedcausesofdeathwhenNCCwasmentionedas anunderlyingcause,andHIV/AIDSwasthemainunderlyingcausewhenNCCwasanassociatedcause. NCCisaneglectedandpreventablecauseofsevereneurologicdiseaseanddeathwithhighpublichealth impactinBrazil.Thereisaclearneedtostrengthennationwideepidemiologicalsurveillanceandcontrol forthetaeniasis/cysticercosiscomplex.
©2015ElsevierB.V.Allrightsreserved.
1. Introduction
Neurocysticercosis(NCC)isaparasiticinfectionofthehuman centralnervoussystemcausedbythelarvalform(cysticerci)ofthe porktapewormTaeniasolium(Carpio,2002;WHO,2002,2010a). NCCisconsideredaneglectedandpoverty-relateddisease,with highpublichealthandsocialimpactindevelopingcountries, espe-ciallyinAfrica,Asiaand LatinAmericaand theCaribbean(LAC)
∗Correspondingauthorat:DepartmentofCommunityHealth,SchoolofMedicine,
FederalUniversityofCearáRuaProfessorCostaMendes,1608,5.andar,Bairro
RodolfoTeófilo,60430-140Fortaleza,Brazil.
E-mailaddresses:rogerlandio@bol.com.br(F.R.Martins-Melo),
heukelbach@web.de(J.Heukelbach).
(WHO,2002;DelBrutto,2014).NCCisthemainpreventablesingle causeofacquiredepilepsy(Flisseretal.,2003;WHO,2002,2010a; DelBrutto,2014).About5millioncasesofepilepsyworldwideare causedbyNCC(Nashetal.,2013).InLAC,anestimated75million peopleliveatriskofinfection,with0.45–1.35millionpeople suf-feringfromepilepsyattributabletoNCC(Coyleetal.,2012).NCCis alsoemerginginnon-endemiccountries(particularlyUSA,Canada andEuropeancountries),duetoincreasedmigrationand travel-relatedexposure(WallinandKurtzke,2004;Coyleetal.,2012;Del Brutto,2012a,b,2014).
InBrazil,theconditionisendemicparticularlyintheSoutheast, SouthandCentral-Westregions(Agapejev,1996,2003;Almeida andTorres,2011).However,itspublichealthimpactthroughout thecountryisnotknown,becausethereisneithercompulsory noti-fication,noractivediseasesurveillanceinmoststates(Takayanagui
http://dx.doi.org/10.1016/j.actatropica.2015.10.011
Table1
EpidemiologicalcharacteristicsandNCC-relatedmortalityrates(per1,000,000inhabitants)bysex,agegroup,race/colourandregionofresidenceinBrazil,2000-2011.
Variables Deaths Cruderate(95%CI)a Age-adjustedrate(95%CI)a,b CRR p-value
n %
Overall 1,829 100.0 0.82(0.70–0.96) 0.97(0.83–1.12) – –
Sex
Male 1,024 56.0 0.93(0.76–1.15) 1.10(0.90–1.33) 1.31(0.95–1.81) 0.095
Female 805 44.0 0.71(0.56–0.90) 0.84(0.67–1.04) Ref. –
Agegroup(years)c
0–14 16 0.9 0.02(0.01–011) – Ref. –
15–29 184 10.1 0.29(0.18–0.48) – 12.05(2.05–70.75) <0.001
30–39 349 19.1 1.05(0.73–1.51) – 43.34(7.64–245.89) <0.001
40–49 396 21.7 1.57(1.12–2.20) – 64.76(11.46–365.75) <0.001
50–59 326 17.9 2.00(1.38–2.91) – 82.57(14.51–469.72) <0.001
60–69 250 13.7 2.36(1.54–3.61) – 97.26(16.89–560.16) <0.001
>70 305 16.7 3.72(2.53–5.47) – 153.42(26.89–875.24) <0.001
Regionofresidence
North 16 0.9 0.09(0.02–0.42) 0.13(0.04–0.49) Ref.
Northeast 225 12.3 0.37(0.23–0.57) 0.44(0.30–0.67) 4.07(0.70–23.59) 0.089
Southeast 1,030 56.3 1.09(0.88–1.34) 1.20(0.98–1.46) 12.11(2.19–66.97) <0.001
South 382 20.9 1.17(0.83–1.66) 1.27(0.91–1.77) 13.07(2.31–73.92) <0.001
Central-West 176 9.6 1.12(0.67–1.85) 1.42(0.91–2.23) 12.44(2.11–73.21) <0.001
Race/colourc
White 1,106 66.8 1.01(0.83–1.24) – Ref.
Black 118 7.1 0.79(0.43–1.46) – 0.78(0.40-1.50) 0.456
Brown 425 25.7 0.48(0.34–0.66) – 0.47(0.32-0.70) <0.001
Yellow 5 0.3 0.29(0.03–3.24) – 0.29(0.01-6.02) 0.391
Indigenous 3 0.2 0.54(0.05–5.96) – 0.32(0.01-16.07) 0.545
CI:confidenceintervals;CRR:cruderateratio;notcalculated.
aAverageannualcrude-andage-adjustedmortalityrates(per1,000,000inhabitants),calculatedusingtheaveragenumberofNCC-relateddeathsasanumeratorand
populationsizeinthemiddleofthestudiedperiod(centralyear:2005.5)asadenominator.Populationdataonrace/colourwasderivedfromtheBrazilianNationalCensuses
(2000and2010).Populationsizeinrelationtorace/colourforthemiddleoftheperiodwasderivedfromanaverageofthe2000and2010censuses.
bAge-standardizedtothe2010Brazilianpopulation.
c Datanotavailableinallcases(agegroup:3,andrace/colour:172).
andLeite,2001;Agapejev, 2003).In acomprehensiveliterature review of epidemiological data available in Brazil covering the period1915–2002,thefrequencyofNCCrangedfrom0.12%to9% inautopsiesandfrom0.03%to13.4%inclinicalstudies(Agapejev, 2003).The casefatalityrateofNCC rangedfrom4.8%to25.9%, andasymptomaticformsofNCCweredetectedin48–55%ofcases withautopsy-confirmeddiagnosis(Agapejev,2003).Despiteofthe epidemiological,socio-economicandclinicalrelevance,the bur-den of NCC-related mortalityalso remains largely unknown in endemiccountries(Bhattaraietal.,2013).Thereareverylimited population-baseddataandfewlarge-scalestudiesonNCC-related deaths (Sorvillo et al., 2004;Townes et al., 2004; Santo, 2007; Sorvilloetal.,2007).Herewepresentasystematicassessmentof theepidemiologicalpatterns,timetrendsandspatialdistribution ofNCC-relatedmortalityinBrazil,from2000to2011.
2. Materialandmethods
2.1. Studyarea
Brazil, South America’s largest country, is extended over 8.5millionkm2 witha population of about 203million inhabi-tantsin 2014.It is dividedpolitically andadministratively into five geographic regions (South, Southeast, Central-West, North andNortheast),27FederalUnits(26statesandoneFederal Dis-trict)and5570municipalities(InstitutoBrasileirodeGeografiae Estatística—IBGE;http://www.ibge.gov.br).Thereisawide demo-graphic,culturaland socioeconomicdiversitybetweenBrazilian regions.Forinstance,bothNorthandNortheastregions compre-hendtheareaswiththelowestincomeofthecountry.Inaddition, thesameregionsalsopresentparticularepidemiological disease-related patterns suchas those related to poverty (Lindoso and Lindoso,2009;HotezandFujiwara,2014).
2.2. Studydesignandpopulation
Weperformedanationwidepopulation-basedstudyusing mor-talitydata,includingtime trendandspatialanalyses.Thestudy includedalldeathsinBrazilthatoccurredbetween2000and2011, inwhichNCCwasmentionedonthedeathcertificateseitheras underlyingorasassociated(non-underlying)causeofdeath (so-called multiple causesof death) (Redelings et al., 2006; Santo, 2007).Inthiscontext,underlyingcauseofdeathisdefinedasthe diseasethatinitiatedtheeventsleadingdirectlytodeath.Foreach death,onlya singleunderlyingcauseisreported(WHO,2010b; AustralianInstituteofHealthandWelfare,2012).Associatedcauses ofdeathrefertotheotherconditions(immediate,intermediateand contributingcauses),whichintervenedorsignificantlycontributed tothedeath(AustralianInstituteofHealthandWelfare,2012).
NCC as cause of deathcorresponds to theB69.0 code (Cys-ticercosisofcentralnervoussystem[includedwithinthecategory Cysticercosis—B69code])oftheTenthRevisionoftheInternational StatisticalClassificationofDiseasesandRelatedHealthProblems ICD-10)(WHO,2010b).
2.3. Datasources
UnifiedHealthSystem(DepartamentodeInformáticadoSistema Único deSaúde—DATASUS; http://tabnet.datasus.gov.br/cgi/sim/ dados/cid10indice.htm).Downloadingofthe324mortalitydata setswithabout12.5millionentries,anddataprocessinghasbeen describedindetailpreviously(Martins-Meloetal.,2012a,b,2015). Population data were obtained from the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografiae Estatística—IBGE,2010),basedontwocensuses(2000and2010), andpopulationestimatesforinter-censusyears(2001–2009and 2011) (IBGE; http://tabnet.datasus.gov.br/cgi/deftohtm.exe?ibge/ cnv/popuf.def).
2.4. Variablesandstatisticalanalyses
Variablesanalysed fromdeathcertificatesincluded:sex,age, race/colour(white,black,brown[PardoBrazilian],yellow[Asian descendant]andindigenous),placeof residence(regions,states andmunicipalities),placeofoccurrence,dateofdeathandcausesof death(underlyingandassociated).Wecalculatedmeansand stan-darddeviations(SD)forcontinuousvariables,andpresentabsolute numbersand proportions withtheirrespective 95% confidence interval(95%CI)forcategoricalvariables.
Crudemortalityratesandtheir95%CIswerecalculatedbysex, agegroup,race/colourandplaceofresidencebydividingthe num-berofNCC-relateddeathsbythepopulationineachcalendaryear, expressedper1,000,000inhabitants. Age-adjustedratesfor sex andregions/statesofresidencewerecalculatedbythedirect stan-dardizationmethod,usingtheBrazilian populationofthe2010 Censusasstandard.Agecategoriesforstandardizationand calcula-tionofage-specificrateswere:0–14,15–29,30–39,40–49,50–59, 60–69,and≥70years.Basedonthecruderates,wecalculatedrate
ratios(RRs)withtheir95%CIs.Statisticalsignificanceofdifferences amonggroupswasevaluatedbythechi-squaredtest(2).Weused theStudent’st-testtocomparethemeanageatdeath(inyears) betweengroups.
Timetrendanalysiswasperformedusingjoinpointregression models(Kimetal.,2000),withage-adjusted(sexandtheBrazil’s geographicregions)andage-specificratesasdependentvariables, andtheyearofoccurrenceasindependentvariable.Thisanalysis identifiedjoinpointsviaalog-linearmethod,wherethedirectionor themagnitudeoftrendschangedsignificantly(Kimetal.,2000).The analysisstartedwith0joinpoint(astraightlinewithoutinflection points),andverifiedwhethertheinclusionofoneormore join-points(inouranalysisuptothree)inthemodelweresignificant (Kimetal.,2000).Eachsignificantjoinpointthatindicatedachange intheslopewasretained.Statisticalsignificancewastestedusing theMonteCarlopermutationtest,whichchoosesthebestsegment foreachmodel(Kimetal.,2000).Theannualpercentchange(APC) and95%CIwerecalculatedforeachsegment(Kimetal.,2000).To simplifytrendcomparisonfortheepidemiologicindicatorswith morethanoneslope,wealsocalculatedtheaverageannualpercent change(AAPC)overtheentireperiod.Thiswasestimatedasthe geometric-weightedaverageoftheAPC,withtheweights reflect-ingthelengthofeach timeinterval segment(Kim etal.,2000). TrendwasconsideredstatisticallysignificantwhentheAPCand AAPCpresentedp<0.05.
Weanalysedthespatialdistributionandspatiotemporal pat-ternsofNCC-relatedmortalityusingtheBrazilianmunicipalities ofresidenceasunitsofanalysis(territorialdivisionof2010).We calculatedcrudeNCC-relatedmortalityrates(per100,000 inhab-itants)forthe12-yearstudyperiod,andthesmoothedmortality ratesbymeansoftheLocalEmpiricalBayesianmethodtoreduce randomvariationsandprovidegreaterstabilityofmortalityrates inmunicipalitieswithsmallpopulationsandrareevents(Assunc¸ão etal.,1998).
We usedGlobalMoran’s Iindex (rangingfrom −1to +1)to
assessthepresenceofglobalspatialautocorrelation(CliffandOrd, 1981).Thenweevaluatedtheexistenceoflocalautocorrelation (LocalIndexofSpatialAssociation—LISA)bymeansofLocalMoran’s Iindex (Anselin,1995).Theobjective of this procedurewasto identifysignificanthotspots(High-High:highvaluesspatial clus-ters),coldspots(Low–Low:lowvaluesspatialclusters),andspatial outliers(High–Low: highvalues surrounded withlow value or Low–High:Lowvalues surroundedwithhighvalues)of mortal-ityrates (Anselin,1995).For spatialrepresentationof theLocal Moran’sindex,MoranMapswerecreated,includingmunicipalities withdifferencesonp<0.05.
WeusedretrospectiveKulldorff’sspace-timescanstatisticsto identifyhigh-risk spatiotemporal clusters(Kulldorff, 1997). We usedfurtheraPoissonprobabilitymodelscanningforareasofhigh NCC-relatedmortality,withamaximumspatialclustersizeof30% ofthepopulationatrisk,andamaximumtemporalclustersizeof 50%ofthestudyperiod.Themostlikelyorprimaryclusterand secondaryclustersweredetectedthroughtheloglikelihoodratio (LLR)test.Wecomputedstatisticalsignificanceusing999Monte Carlosimulations.
Wepresentthecausesofdeath(diseasesanddisorders)that mostcommonlywereassociatedwithNCC-relateddeaths.Foreach deathcertificatethatlistedNCCasanunderlyingcause,the asso-ciatedcauseswereexamined,andforeachdeathcertificatethat listedNCCasanassociatedcause,theunderlyingcausewere inves-tigated.Allcausesreportedonthedeathcertificateswereanalysed, evenill-defined(classifiedinChapterXVIII—R00-R99oftheICD-10) andthosecharacterizedbytheWHOasmodesofdeath,suchas cardio-respiratoryarrestandmultipleorganfailure(Santo,2007). DataanalysiswasperformedwithStatasoftwarepackage ver-sion11.2(StataCorporationLP,CollegeStation,TX,USA).Joinpoint regression analyseswere carried out withJoinpointRegression Program version 4.0.4 (United States National Cancer Institute, Bethesda, MD, USA).ArcGIS softwareversion 9.3 (Environmen-tal Systems Research Institute—ESRI, Redlands, CA, USA), and TerraViewsoftwareversion 4.2(InstitutoNacionaldePesquisas Espaciais—INPE,São JosédosCampos, SP, Brazil)were usedfor input, processing, analysis, calculation of autocorrelation indi-cators,and construction ofthematic maps.Scan statistics were performedusingSaTScan softwareversion9.1.1(Harvard Medi-calSchool,BostonandInformationManagementServiceInc.,Silver Spring,MD,USA).
2.5. Ethics
Analysiswasbasedonpubliclyavailablesecondaryanonymous data,withnopossibilityofidentificationofindividuals.TheEthical ReviewBoardoftheFederalUniversityofCeará(Fortaleza,Brazil) approvedthestudy.
3. Results
3.1. Neurocysticercosis-relateddeaths
3.2. Epidemiologicalcharacteristicsofdeaths
Thepredominatingsocio-demographiccharacteristicsof NCC-relateddeathswere:malesex(66.0%[1024/1829),age40–50years (21.7%[396/1826]),whiterace/colour(66.8%[1106/1657),and res-idencyintheSoutheastregion(56.3%[1030/1829])(Table1).The stateofSãoPaulo(Southeastregion)hadthelargestproportionof deathsintheresidentpopulation(31.4%[575/1829]).Thehighest proportionofdeathsbyageinthecaseofNCCasunderlyingcause wasinthe40–50years-olds(24.5%[277/1129]),andinthecaseas associatedcauseinthe≥70years-olds(24.4%[170/697]).
Themean(SD)andmedianageatdeathofNCC-relateddeaths was50.8years(±17.4)and49.1years(range:1.1–95.3),
respec-tively.Themean(SD)ageatdeathintheNCC-relateddeathsas underlyingcausewassignificantlylowerthanthatforthe NCC-relateddeathsasassociatedcause(48.3±16.6vs.54.9±17.9years,
respectively;p<0,001).Themean(SD)ageatdeathwashigherin femalesthaninmales,butnotstatisticallysignificant(51.7±18.6
vs50.1±16.3years;p=0.055).
Overall,83.3%(1522/1827)oftheNCC-relateddeathsoccurred in hospitals,and decedent’s residencewasreportedasplace of occurrencein13.4%(244/1827)ofdeaths.
3.3. Mortalityrates
TheaverageannualcrudeNCC-relatedmortalityratewas0.82 deaths/1,000,000 inhabitants (95% CI: 0.70–0.96) and the age-adjustedrate0.97deaths/1,000,000inhabitants(95%CI:0.83–1.12) (Table 1). Mortality rates increased steadily with age, with a maximumin≥70years-olds(3.72deaths/1,000,000inhabitants)
(Table1).Age-adjustedmortalityrateswerehigherinmalesthan females, withno significantdifference (Table 1). Individualsof whiterace/colourhadthehighestrates(Table1).Therewasa con-siderableregionaldistribution,withtheCentral-West,Southand Southeastregionsshowinghighestrates(RRvalues>12,as com-paredtotheNorthregion)(Table1).Thehighestaverageannual age-adjustedmortalityratesbystateofresidencewereobserved inParaná(Southregion,2.38deaths/1,000,000inhabitants),Minas Gerais(Southeastregion,1.64deaths/1,000,000inhabitants),and Goiás (Central-West region, 1.59 deaths/1,000,000 inhabitants) (Fig.1).
3.4. Timetrends
Age-adjustedNCC-relatedmortalityratespresenteda signifi-cantdecreasingtrendatnationallevel(APC:−4.7;95%CI:−6.0
to−3.3.)over the12-yearstudyperiod, withdifferentpatterns
betweenregions(Fig.2;Table2).Similartothenationwidepattern, therewasasignificantdecreaseofmortalityfiguresinthe South-east(APC:−6.5;95%CI:−8.8to−4.2),South(APC:−3.4;95%CI: −6.7to−0.1),andCentral-West(APC:−6.0;95%CI:−11.0to−0.8)
regions.TheNorth(APC:5.2;95%CI:−7.8to20.0)andNortheast
(APC:1.8;95%CI:−1.7to5.4)regionspresentedanon-significant
increasingtrend(Fig.2;Table2).
Bothmalesandfemalesshowedsignificantdecreasing mortal-itytrendsinthestudyperiod(Table2).Inallagegroups,mortality decreased duringtheobservationperiod;thetrends intheage groups0–14yearsand40–49yearswerenotsignificant(Table2).
3.5. Spatialdistributionandhigh-riskclusteranalysis
Intotal,14.6%(813/5,565)ofBrazilianmunicipalitiesin24of the27statesrecordedatleastoneNCC-relateddeath.Thespatial distributionoftheaverageannualcrudeandsmoothedmortality ratesarepresentedinFig.3AandB,respectively.Averageannual crude NCC-relatedmortalityrates rangedamongmunicipalities
from0.0to4.49deaths/100,000inhabitants,andsmoothed mortal-ityratesfrom0to1.21deaths/100,000inhabitants.Municipalities withhighNCC-relatedmortalityrateswerelocatedmainlyinstates ofSoutheast,SouthandCentral-Westregions(Fig.3AandB).
Global Moran’sI index for thestudy period showed signifi-cantpositivespatialautocorrelation(0.282,p<0.001),evidencing theexistenceofspatialdependenceamongmunicipalities.Fig.4A presentsthehigh-riskclustersofmunicipalitiesidentified accord-ingtotheLISAanalysis.Weidentifiedalargehigh-risk(High/High) concentricclusterforNCC-relatedmortalityincentralBrazil, cover-ingseveralgeographicregions(Fig.4A).Clustersofmunicipalities withlowrates(Low/Low)coveredlargeareasintheNortheastand NorthregionsandinsmallareasintheMatoGrossoandRioGrande doSulstates(Fig.4A).
Byscanspace-timeanalysis,weidentifiedtwosignificant spa-tiotemporalhigh-riskclustersinNortheast,Southeast,Southand Central-Westregions (Fig.4B).Themostlikely cluster(primary cluster)wasdetectedintheperiod2000–2004,andincluded1211 municipalitiesofstatesofMatoGrossodoSul,Goiás,Distrito Fed-eral,MinasGerais,SãoPaulo,ParanáandSantaCatarina,withatotal of482deaths.Therelativeriskwas2.66(LLR:142.63;p<0.001) andtheannualmortalityratewas0.2deaths/100,000inhabitants (Fig.4B).Thesecondaryhigh-riskclusterincluded709 municipali-tieslocatedinthestatesofBahia,MinasGerais,EspíritoSantoand RiodeJaneirowiththedurationfrom2002to2007.Thiscluster had163deaths,witharelativeriskof1.88(LLR:24.81;p<0.001) andannualmortalityrate0.1deaths/100,000inhabitants(Fig.4B).
3.6. CausesofdeathassociatedtoNCC-relateddeaths
Themainassociatedcausesofdeathmentionedondeath certifi-catesinwhichNCCwasidentifiedastheunderlyingcauseincluded nervous/neurological diseases (73.1%), in particular intracranial hypertension,hydrocephalusandcerebraloedema (Supplemen-tary Table 1). The second group with the highest number of mentionsasassociatedcausewererespiratorydiseases(49.1%, par-ticularlypneumoniaandrespiratoryfailure).Sepsisandrespiratory arrestwerementionedin15.3%and10.4%ofdeaths,respectively (SupplementaryTable1).
WhenNCCwasmentionedasanassociatedcause,themost com-monunderlyingcausesincludedcardiovasculardiseases(31.5%), infectiousdiseases(23.7%)andneurologicaldiseases(10.9%) (Sup-plementaryTable2).HIV/AIDS(17.3%)wastheprincipalspecific underlyingcause,followedbystroke(9.2%)andother cerebrovas-culardiseases(6.7%)(SupplementaryTable2).
4. Discussion
Tothebestofourknowledge,thisisthefirstnationwide sys-tematicstudyonNCC-relatedmortalityinBrazil.Wehighlighted several epidemiological and clinical aspects of the disease: we observeda decreasingtrendofmortalityovera 12-yearperiod, with significantvariations among Brazilian regions; we identi-fiedspatial and spatiotemporal high-risk clustersfor mortality, locatedmainlyintraditionalNCC-endemicareasinthecountry;we describedhigh-riskgroupssuchasadvancedage,males, individu-alsofwhiterace/colour,andresidentsinendemicstates/regions; andwedescribeddiseasesofnervousandrespiratorysystemsas themostcommonlyassociatedcausesofdeathwhenNCCwasthe underlyingcause,andHIV/AIDSasthemostfrequentunderlying causewhenNCCwaslistedanassociatedcauseofdeath.
Fig.1. Spatialdistributionofaverageannualage-adjustedNCC-relatedmortalityrates(per1,000,000inhabitants)bystatesofresidenceinBrazil,2000–2011.
Table2
JoinpointregressionanalysiswithcorrespondingAPCofNCC-relatedmortalityratesinBrazil,2000–2011.
Variable Trend1 Trend2 Trend3 Entireperiod
Period APC 95%CI Period APC 95%CI Period APC 95%CI AAPC 95%CI Sex
Male 2000–2011 −4.6a −5.9to−3.2
Female 2000–2011 −4.8a −7.5to−2.0
Agegroup(years)
0–14 2000–2004 −22.7 −49.1to17.3 2004–2007 72.6 −40.2to398.4 2007–2011 −43.9a −66.1to−7.2 −14.4 −34.3to11.6
15–29 2000–2011 −6.1a −10.0to−2.0
30–39 2000–2011 −6.1a −9.3to−2.7
40–49 2000–2011 −2.7 −6.8to1.5
50–59 2000–2011 −5.5a −8.8to−2.1
60–69 2000–2011 −5.7a −9.6to−1.6
≥70 2000–2011 −3.2a −5.7to−0.7
Regionofresidence
North 2000–2011 5.2 −7.8to20.0
Northeast 2000–2011 1.8 −1.7to5.4
Southeast 2000–2011 −6.5a −8.8to−4.2
South 2000–2011 −3.4a −6.7to−0.1
Central-West 2000–2011 −6.0a −11.0to−0.8
Brazil 2000–2011 −4.7a −6.0to−3.3
APC:annualpercentchange;AAPC:averageannualpercentchange;CI:confidenceintervals.
aSignificantlydifferentfrom0(p<0.05).
Fig.3. SpatialdistributionofNCC-relatedmortalityratesbymunicipalityofresidenceinBrazil,2000–2011:(a)averageannualcrudemortalityrates(per100,000inhabitants),
(b)averageannualBayesian-smoothedmortalityrates(per100,000inhabitants).
intheincidenceand/orcasefatalityratebyNCCinrecentyears (Santo, 2007).In theabsenceofsystematic diseasesurveillance andcontrolprogramsinmostendemicareas,nonspecificmeasures, suchasimprovedgenerallivingandsanitaryconditions,improved healtheducationand accesstohealthservicesmayhaveplayed animportantrole inreducingNCCincidenceand,consequently, severeandfatalcases(TakayanaguiandLeite,2001;Santo,2007). Furthermore,theuseofbetterdiagnosticapproaches,early diag-nosisandaccesstobothclinicalandsurgicaltreatmentsmaybe importantfactorsinvolvedindecreasedcasefatalityandmortality inendemicregions(TakayanaguiandLeite,2001;Santo,2007).
Astudyin Mexicousingnational dataverifiedanimportant decreaseofthefrequency ofcasesofcysticercosisandtaeniasis from1990to2009;theimplementationofnationalcontrol pro-gramforT.soliumandthegeneralimprovementoflivingconditions inMexicowereconsideredasthemaindrivingfactors(Flisserand
Correa,2010).Themostsocio-economically deprivedregionsin Brazil(NorthandNortheast)despitehavingthelowestrates,did notpresentadecreasingtrendofNCC-relatedmortalityinthestudy period.Intheseareasthereareusuallynospecificcontrolprograms, thereislimitedaccesstohealthservices,andlivingconditionsare poor(Agapejev,2003;WHO,2010a;Agapejev,2011;DelBrutto, 2014).
Fig.4.Spatialandspatiotemporalclusteranalysisofschistosomiasis-relatedmortalityratesbymunicipalityofresidenceinBrazil,2000–2011:(a)LISAclusteranalysis
(MoranMap),(b)scanspace-timeclustersanalysis.
endemicareas(WHO,2010a;Agapejev,2011),thehighoccurrence ofthediseasein Southand Southeast regionsmayalsobe due tohighercoverageandaccesstodiagnosisbyneuroimagingtests (computedtomography[CT]or/andMagneticResonanceImaging [MRI]),andclinicalandsurgicaltreatment,andthepresenceof spe-cificcontrolprogramsanddiseasenotification(Pfuetzenreiterand Pires,2000;Agapejev,2003,2011).ThelowoccurrenceofNCCin someareas,suchasNorthandNortheastregions,canbeexplained bythelackofnotificationanddifficultyofaccesstomedicalcare anddiagnosticmethods,whichcanreducethefrequencyof diag-nosisandresultinunderreportingofthedisease(Pfuetzenreiter and Pires,2000; Agapejev, 2003).Internal migration processes, especiallyofpeoplefromruralareasindisease-endemicregions tourbancentres,mayhavealsoaffectedtheendemicpatternsof diseaseinthecountry(Mendesetal.,2005;Benedetietal.,2007; Gonzalesetal.,2015).
ThehigherNCC-relatedmortalityratesobservedinmales con-firmfindingsofotherlarge-scalemortalitystudiescarriedoutin thestateofSãoPaulo,Brazil(Santo,2007),andintheUSA(Sorvillo etal.,2004,2007).TherelationshipbetweensexandNCCinfection riskiscontroversial.Somestudiesshowedahigherfrequencyof thediseaseinmales(Chimellietal.,1998;Chagasetal.,2003; Lino-Junioretal.,2007;AlmeidaandTorres,2011),whileothersshowed ahigherprevalenceofNCCinfemales(Pfuetzenreiterand Avila-Pires,1999;Mendesetal.,2005;Benedetietal.,2007;Grazziotin etal.,2010;Coral-Almeidaetal.,2015).Apreviousliteraturereview onNCCepidemiologyinBrazilshowedahigherprevalenceofNCC amongmales, withmore frequentinvolvement of severe man-ifestationsin femalepatients(Agapejev, 2003,2011).Infact, in studiesthatshowedahigherfrequencyofNCCinmales, gener-allymostcaseswereconsideredasymptomatic(Shanderaetal., 1994;Chimellietal.,1998;MontemorNettoetal.,2000;Almeida andTorres, 2011).Studies showedthatsomeforms ofNCC are moresevereinwomen,withamoreintenseinflammatoryresponse againsttheparasite,indicatingapossiblehormonalinfluenceon thediseasedevelopmentorsusceptibility(DelBruttoetal.,1988; PfuetzenreiterandAvila-Pires,1999;Fleuryetal.,2004;Mendes etal.,2005;Benedetietal.,2007).Gender-specifichealthcare seek-ingbehaviourmayalsoplayarole.Themorefrequentoccurrenceof clinicalmanifestationsinwomenwouldleadthemtoseekmedical
assistancemorefrequentlyand,consequently,tocarryoutmore diagnostictestingthanmen(PfuetzenreiterandAvila-Pires,1999; Grazziotinetal.,2010).
ThehighNCC-relateddeathratesamongelderlyreflectthe pat-terns of chronicand debilitatingnature of this disease(Croker etal.,2012).Thereisalongerexposuretoparasiteswith increas-ingage,andprobablypatientsarecontinuouslyinfectedwithNCC during theirlifetime (Freitas et al., 2005; Mendes et al., 2005; Cavellanietal.,2007,2012;Coral-Almeidaetal.,2015).Studieshave demonstratedthatolderpeoplearemoretoleranttotheparasite thanyounger,withNCClesssymptomaticinolderpeoplethanin youngerpeople(Cavellanietal.,2007,2012).Somestudieshave indicatedhigherlevelsofactiveinfectioninelderlypeople,which wassuggestedtobeduetoaloweredhostimmuneresponse(Praet etal., 2010;Seckaet al.,2011; Mwapeet al.,2013).Thiscould indicatethatsusceptibilitytobecomeinfectedincreaseswithage, whereasthereis adecreaseofresistanceagainstseveredisease (Cavellanietal.,2012).Theseeffectsmayexplainhighermeanage atdeathandhigherproportionofdeathsinolderagegroupsforNCC asanassociatedcausewhencomparedtoNCCasanunderlying cause,whichhadhigherpredominanceofdeathsinmiddle-aged adults.Thesimultaneousoccurrenceofcommonchronicdiseases intheelderly,suchascardiovasculardiseasesandcancer,mayeven increaseseverityandcasefatality(Cavellanietal.,2007).
The high proportion and death rate in people of withe race/colour can be mainly explained by the higher population ofEuropeandescendantsinBrazil’sSoutheastandSouthregions (IBGE, 2010). However, an important number of missing data regardingrace/colourlimitsthevalidityandtheinterpretationof thisinformationshouldbeperformedwithcaution.
Sorvilloetal.,2007;Carabinetal.,2011).Thepresenceofassociated causesofdeathconsideredterminalconditions,suchas respira-toryfailure,pneumonia,respiratoryarrestandsepsismayreflect theseverityoftheNCC-relatedcomplicationsprocessleadingto death(Santo,2007).ConsideringdeathsinwhichNCCwas iden-tifiedas anassociated cause,the predominanceofHIV/AIDS as underlyingcausewassimilartofindingsofapreviousmortality study(Santo,2007).HIV/AIDScanaggravatetheconditionofNCC patients(Delobeletal.,2004;Santo,2007),butfurtherstudiesare necessarytoestablishtheeffectofNCC-HIVco-infectionin aggra-vatingordeteriorationofbothdiseases(Anandetal.,2014).Stroke, arelativelycommonbutneglectedcomplicationofNCC,iscaused byinflammatoryocclusionofthearteriesofthebrain(Rochaetal., 2001;Santo,2007).
Thetaeniasis/cysticercosiscomplexisnotacompulsory notifi-ablediseaseandthereisnotaspecificnationalcontrolprogram inBrazil(TakayanaguiandLeite,2001;Agapejev,2003).Although theBrazilianMinistryofHealthrecommendstheimplementation of compulsorynotification of taeniasis/cysticercosiscomplex in endemicareas, onlysomestates (SantaCatarina,Paraná,Minas GeraisandMatoGrossodoSul)andthemunicipalityofRibeirão Preto (São Paulo state) have deployed taeniasis/cysticercosis controlprograms(Takayanaguietal.,1996;Agapejev,2003). Con-sequently,dataonincidenceandprevalenceofNCCremainwidely unknown,anddiseaseoccurrenceismostprobablyunderestimated in Brazil (Agapejev, 2003). The implementation of appropriate surveillancemechanismsanda mandatoryreportingsystemfor taeniasis/cysticercosiscomplexthroughoutthenationalterritory couldprovidemoreaccurateepidemiologicaldataonthe popu-lationprevalenceandwouldallowgeographicalmappingofthe affectedareastoimproveeffectivenessofsurveillanceandcontrol measures(TakayanaguiandLeite,2001;Agapejev,2003).Control measuresshouldincludefreeaccesstopreventivechemotherapy, earlydiagnosisandtreatmentoftaeniasiscases,improvedpig hus-bandrypractices,strictmeatproductinspection,andanthelmintic treatmentandvaccinationofpigs(WHO,2002,2010a;Crokeretal., 2012).Thesespecificcontrolactionsshouldbedeveloped along withmoregeneralmeasures,suchasimprovementsofliving con-ditions,accesstoadequatewaterandsanitation,improvedaccess tohealthcareandhealtheducation(WHO,2010a;Torres,2015).
Ourstudyhassomelimitations.Secondary datamaypresent incompleteandbiasedinformation,despitetheimprovedcoverage andqualityofSIMdatasetsduringthepastyears(Martins-Melo etal.,2012a,b,2014a).For example,anincreasingtrendmaybe causedpartiallybyincreasedcoverageandimprovementsofdeath recordsofSIMduringthestudyperiod, aswellasby improve-mentofaccesstohealthcareservices(Martins-Meloetal.,2014b). SIM coverage in 2011 was lowest in Maranhão state (79.1%) in Northeast regionand highest in the states of the Southeast andSouthregions,with100%coverage(http://tabnet.datasus.gov. br/cgi/idb2012/a1801b.htm).Consequently,changesin mortality trendsamongregionsshouldbeinterpretedwithcare.The under-lyingcauseofdeathmayhavebeenencoded asacomplication or aggravation associated with NCC (such as cerebral oedema, hydrocephalusandintracranialhypertension).Wecollected infor-mationbasedonmultiplecausesofdeath, ratherthanonlythe underlyingcause,toreduce this errorand toidentifyall death certificatesinwhichNCCwasmentionedinanyfield.Infact,an additional32%ofcaseswereidentifiedbyusingmultiplecauses of death. However, it still can beassumed that the number of deathsbyNCChasbeenunderestimatedtosomeextent.First,about 8% of cysticercosis-relateddeaths (ICD-10:B69) were recorded asunspecifiedcysticercosis(ICD-10:B69.9)(156/2007);acertain number of NCC may be included in this group, withoutbeing reported adequately. Second, diagnosis of NCC requires confir-mationofinfectionthroughneuroimagingandserologictesting,
biopsyorautopsy(Sorvilloetal.,2004,2007).SomefatalNCCcases maythusnothavebeendiagnosed,withconsequentmiscodingof NCC-relateddeathsasotherconditions(Sorvilloetal.,2004).
Anotherlimitationisrelatedtotheuseofscanstatistics,which hasimplications onresultsinterpretation.Thecircular window imposed for scan space-time analysis to identify clusters may include places oflow rates or withabsenceof deaths, if these placesaresurroundedbyplacescharacterizedbyhighmortality rates(Lutambietal.,2010;Shabanietal.,2010).Inaddition,the resultsproducedareverysensitivetotheparametersettingofthe statisticalprogram(Cheungetal.,2013).
Mortalitydatamaybelimitedtoidentifyspecificareasofhigh transmissionandendemicityofNCC,sincemostdeathsmayhave beenaresultofinfectionsacquiredmanyyears ago,and dueto internal migration ofinfected people,thelocation ofdeathnot necessarilyreflectsthelocationofinfection(Mendesetal.,2005; Martins-Meloetal.,2015).
5. Conclusions
NCCis animportantbutneglectedand preventablecauseof deathinBrazil.Asindicatedbytheanalysisofmultiplecausesof death,NCC-relateddeathsmaybelargelyunderestimatedinthe country.DespitethedeclineofNCC-relatedmortality,thispattern wasnotobservedintheregionswithlowratesandwithworse socioeconomicconditions,suchastheNorthandNortheastregions. Clustersof municipalitieswithhighmortalityrates werefound mainlyinstatesandregionsconsideredhighlyendemicfordisease. Specificpublichealth measuresincludingsurveillanceand con-trolsystemsandcompulsorynotificationfortaeniasis/cysticercosis complexshouldbeimplementedthroughoutthecountry.
Acknowledgements
TheauthorsthanktheCoordenac¸ãodeAperfeic¸oamentode Pes-soaldeNívelSuperior(CAPES/Brazil)forgrantingaPhDScholarship toFRM.JHisaclass1researchfellowattheConselhoNacionalde DesenvolvimentoCientíficoeTecnológico(CNPq/Brazil).
AppendixA. Supplementarydata
Supplementarydataassociatedwiththisarticlecanbefound,in theonlineversion,athttp://dx.doi.org/10.1016/j.actatropica.2015. 10.011.
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