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Revista

Brasileira

de

Hematologia

e

Hemoterapia

Brazilian

Journal

of

Hematology

and

Hemotherapy

w w w . r b h h . o r g

Original

article

Trends

in

mortality

of

adult

patients

diagnosed

with

myeloid

leukemia

from

1994

to

2011

in

southeastern

Brazil

Fernando

Callera

,

Alexandra

Fernandes

Callera,

Evandro

Secchi

Rosa

CentrodeHematologiadoVale,SãoJosédosCampos,SP,Brazil

a

r

t

i

c

l

e

i

n

f

o

Articlehistory:

Received8May2014

Accepted11July2014

Availableonline21November2014

Keywords:

Myeloidleukemia

Acutemyeloidleukemia

Chronicmyelogenousleukemia

BCR-ABLpositive

Mortalityrate

a

b

s

t

r

a

c

t

Objective:ToevaluatetrendsinmortalityamongadultswithmyeloidleukemiaintheVale

doParaíba,StateofSãoPaulo.

Methods:DatafromtheBrazilianNationalHealthServicedatabaseDATASUSprovidedthe

numberofdeathscausedbymyeloidleukemiaandthenumberofinhabitantsperyearin

theRegionalHealthDivisionXVIIfrom1994to2011.Registrieswerecategorizedaccordingto

genderintofourageranges(over20years,20–49,50–69andover70years)foranestimation

oftheannualpercentchangeforage-adjustedmortalityrates.Thepercentchangeswere

calculatedusingtheJoinpointregressionanalysismodel.

Results:Overall,asignificantdeclineperyearwasdemonstratedfortheentiresample(over

20years)acrossthe18-yearperiodstudied(annualpercentchange:−5.59%;95%CI:−8.5to

−2.5%formales;p-value<0.05and−7.02%;95%CI−11.2to−2.8%forfemales;p-value<0.05)

withnosignificantdifferencebetweengenders.InananalysisusingtwoJoinpoints,

sig-nificant dropswereobservedfrom1994to2001(annual percentchange:−21.22%; 95%

confidenceinterval:−27.9to−13.9%;p-value<0.05)andfrom1994to2003(annual

per-centchange:−12.86%;95%confidenceinterval−22.2to−2.5%;p-value<0.05)formenand

women,respectively.Thedecliningtrendsweregreatestforpatientsagedover70years

withtheage-adjustedmortalityratesinyoungergroupsdecliningnon-significantlyexcept

formalesaged50–69yearsold.

Conclusion: Ourdatasuggestasignificantdeclineperyearinage-adjustedmortalityratesof

adultpatientsdiagnosedwithmyeloidleukemiafrom1994to2011intheValedoParaíba,

StateofSãoPaulo.

©2014Associac¸ãoBrasileiradeHematologia,HemoterapiaeTerapiaCelular.Published

byElsevierEditoraLtda.Allrightsreserved.

Correspondingauthorat:CentrodeHematologiadoVale,RuaEuclidesMiragaia,700,Sala75,Centro,12245-820SãoJosédosCampos,

SP,Brazil.

E-mailaddress:fcallera@centrodehematologiadovale.com.br(F.Callera).

http://dx.doi.org/10.1016/j.bjhh.2014.11.011

1516-8484/©2014Associac¸ãoBrasileiradeHematologia,HemoterapiaeTerapiaCelular.PublishedbyElsevierEditoraLtda.Allrights

(2)

Introduction

Itiswidelyacceptedthattheassessmentofmortalitydatais

ausefultoolformonitoringoutcomesinpatientswith

hema-tologicmalignancies,particularlyincountrieswheresurvival

estimatesfromcancerregistriesarenotbroadlyavailable.1,2

Thisinformationmayberelevanttothestrategicplanningof

healthmanagersandenabletheimplementationofmeasures

toimproveservicesthattreatthesekindsofdiseases.

Myeloid leukemia is a group of hematologic

malignan-ciesdividedintoacuteandchronicsubtypes,someofwhich

requireexpensivetreatmentregimenswhileothersare

poten-tiallylethal.InBrazil,theMinistryofHealthhasdemonstrated

the mortality rates for leukemia in general3 but there are

insufficientdatatosupportdiscussionsregardingdeathrates

frommyeloidleukemia.

Therefore,inordertoprovidecomprehensiveand

region-alizedinformationwhichreflectthecharacteristicsandneeds

ofthelocalpopulation,anexploratoryanalysisofthe

mortal-itytrendsduetomyeloidleukemiawasperformedintheVale

doParaíba,StateofSãoPaulo.

Methods

ThisstudywascarriedoutintheCentrodeHematologiado

Vale (CHV). TheCHV consistsof medical

oncohematologi-calprofessionalsfromthefollowingservices:PioXIIHospital

in São José dos Camposand the Regional Hospital of the

ValedoParaíba,locatedinthe city ofTaubaté.These

non-teachinghospitalsarereferralcentersoftheRegionalHealth

DivisionXVII,composedof39municipalitiesintheValedo

Paraíba.Theyhavetreatedpatientswithhematologic

malig-nancies under the Brazilian National Health Service (SUS)

sinceearly1999.Together,theservicesthatcomprisetheCHV

attendalladultSUSpatientsdiagnosedwithacutemyeloid

leukemia (AML) and more than 110 patients with chronic

myeloidleukemia(CML).

Datafrom the SUSdatabase, DATASUS(Health

Informa-tion, TABNET, statistical data), available on the Brazilian

Ministry of Health website4 were considered for inclusion

intheanalysis.RegistriesfromtheRegionalHealthDivision

XVII (Valedo Paraíba),provided the number of deathsper

yearduetomyeloidleukemia(categorizedasC92according

to the International Classification of Diseases 10 [ICD-10]

from1996to2011andas205accordingtoICD-9from1994

to1995).Thisclassificationcomprisesthefollowingdiseases:

AML,CML,subacutemyeloidleukemia,acutepromyelocytic

leukemia (APL), acute myelomonocytic leukemia, myeloid

leukemia otherwise specified and myeloid leukemia not

otherwisespecified.Toobtainasetofdatawithadequately

specified characteristics, registries were grouped according

togenderintosevenageranges: 20–29,30–39,40–49,50–59,

60–69,70–79andmorethan80years.Registries(Health

Infor-mation,TABNET,demographicandsocioeconomicdata)also

providedthenumberofresidentsperyearaccordingtothe

above-mentionedagerangesandthe2000standardmillion

population; thus the death rates per 100,000 inhabitants

were calculated (crude mortality rate). These groups were

comparedusingtheone-wayanalysisofvariance(ANOVA),

and Kruskal–Wallis test withDunn’s multiplecomparisons

test.p-valueslessthan0.05wereconsideredstatistically

sig-nificant.Theannualpercentchange(APC)oftheage-adjusted

mortalityratesbasedonthe2000standardmillionpopulation

wasalsoestimatedbyfittingastraight-lineregressiontothe

naturallogarithmoftherates,withcalendaryearusedasa

regressorvariableinJoinpointregressionanalysis5usingthe

JoinpointRegressionProgram(version4.0.4).6TheAPCwere

considered significant when the 95% confidence intervals

(95%CI)excludedzero(p-value<0.05).Inordertocomparethe

data,thesamemethodwasadaptedtoperformAPCanalysis

ofage-adjustedmortalityratesamongpatientswithmyeloid

leukemiafromallregionsofBrazil.

Results

Thecrudemortalityrateroseastheageincreasedwiththis

phenomenon being observed equally in men and women;

similarcrudemortalityrateswerefoundbetween20and49

years,50and69yearsandover70years(Figure1).Basedon

theseinitialfindings,datawerecategorizedaccordingto

gen-der into fourageranges (over20,20–49,50–69andover 70

years)fortheAPCestimationofage-adjustedmortalityrates.

Overall,significantdeclinesperyearintheage-adjusted

mor-talityratesweredemonstratedfortheentiresample(over20

years)acrossthe18-yearperiodstudied(APC:−5.59%;95%CI:

−8.5to−2.5%formales;p-value<0.05andAPC:−7.02%;95%

CI:−11.2to−2.8%forfemales;p-value<0.05);nosignificant

difference wasfoundbetweenthe genders(Figure2).Inan

analysisperformedwithtwoJoinpoints,significantdeclines

wereobservedfrom1994to2001(APC:−21.22%;95%CI:−27.9

to−13.9%)andfrom1994to2003(APC:−12.86%;95%CI:−22.2

to −2.5%) for menand women respectively(Figure 3).The

decliningtrendsweregreatestforpatientsagedover70years

oldwiththeage-adjustedmortalityratesinyoungergroups

Male Female 50

45

30

35

30

25

20

15

10

5

0

20-29 30-39 40-49 50-59 60-69 70-79 >80

Age range (years)

Crude mortality rate

(3)

40.00

35.00

30.00

25.00

20.00

15.00

10.00

5.00

0.00

1993 1995 1997 1999 2001 2003 2005 2007 2009 2011

Year

Age-adjusted mor

tality r

a

te

Male Female

1994-2011 APC = –5.59%a 1994-2011 APC = –7.02%a

a p-value < 0.05

Figure2–Trendsinage-adjustedmortalityrateforover 20-year-oldmalesandfemalesfrom1994to2011.

40.00

35.00

30.00

25.00

20.00

15.00

10.00

5.00

0.00

1993 1995 1997 1999 2001 2003 2005 2007 2009 2011

Year

Age-adjusted mor

tality r

a

te

Male Female

1994-2001 APC = –21.22%a 1994-2003 APC = –12.86%a

2001-2004 APC = 25.08

2004-2011 APC = –5.04

2003-2006 APC = 16.81%

2006-2011 APC = 14.59

a

p-value < 0.05

Figure3–Significantchangesoversuccessivetime segments(Joinpoints)forover20-year-oldmalesand femalesfrom1994to2011.

Table1–Estimatedannualpercentchangeofthe age-adjustedmortalityratesofpatientswithmyeloid leukemiaaccordingtoagerangeandgenderintheVale doParaíbafrom1994to2011.

Agerange(years) Male Female

Over20 −5.59(−8.5to−2.5)a −7.02(−11.2to−2.8)a

20–49 −2.40(−5.8to1.1) −3.60(−7.3to0.1) 50–69 −3.90(−7.2to−0.5)a −0.30(−3.7to3.3) Over70 −6.52(−10.3to−2.6)a −8.01(−13.2to−2.5)a

Dataareexpressedasmeanrateofchange(%)and(95%confidence interval).

a p-value<0.05.

Table2–Estimatedannualpercentchangeofthe age-adjustedmortalityratesofpatientswithmyeloid leukemiaaccordingtoagerangeinBrazilfrom1994to 2011.

Agerange(years) Meanannual

percentchange

95%confidence

interval

Over20 +1.4a +0.6to+2.2

20–49 −1.2a −1.9to−0.6 50–69 +0.3 −0.4to+1.0 Over70 +2.3a +1.4to+3.1

a p-value<0.05.

decliningalbeitnotsignificantlyexceptformalesaged50–69

yearsold(Table1).WithregardtoBrazilasawhole,a

signifi-cantupwardtrendwasobservedforboththeentiresample

(over 20 years) and forpatients aged over 70 years. There

wasasignificantdeclineforpatientsaged20–49yearsandan

insignificantincreaseforpatientsaged50–69years(Table2).

Discussion

SUSisavailabletoallBraziliancitizensalthoughroughly25%

ofthepopulationhasprivatehealthinsurance7;wetherefore

believe thatdata extrapolatedfrom the DATASUS database

areusefulforclinicalandepidemiologicalstudies.However,

animportantlimitationofthisstudy regardsthequalityof

data.RegistrationoferroneousICDcodesresultsin

misclassi-ficationandcouldberesponsiblefordifferencesinmortality

ratesobservedinthisseries.Itshouldalsobestressedthat,

inmany areas,accesstotimelycancercareisimpairedby

theinadequateinfrastructureofthehealthcaresystem,

espe-ciallyinlow-incomeandgeographicallyisolatedpopulations

withthesecasesbeingmorelikelytoremainunreportedthan

casestreatedinhospitals.Inaddition,deathsfrompatients

witheitheracuteorchronicmyeloidleukemiaareregistered

intheDATASUSdatabaseasmyeloidleukemiawhichis

unsa-tisfactory because mortality rates vary between acute and

chronicmyeloidleukemia.Thiscomplicatescomparisonsand

in particular makes it difficult to interpret regional

differ-ences.Furthermore,thestudywasbasedonacross-sectional

structureandregistriesdidnotstatewhetherdeathsoccurred

duringorafterspecifictreatments, thereforeacause-effect

relationshipcould notbeestablished.Thus,an exploratory

(4)

ratesandtheresultsgainedoveraperiodoftimeintheVale

doParaíba.

Thediagnosis ofAMLmayexplain, atleastinpart, the

increasedcrudemortalityratesobservedintheelderlygroup.

AMLpresents atall ages, but its incidence increases with

ageandoutcomesarestronglyageandperformancestatus

dependent. Older patients have more comorbidities and a

higherincidenceofpoorprognosticfactors,suchassecondary

leukemia andhigh-risk cytogenetics.Moreover,early death

ratesof15%to55%havebeenreportedamongtheelderlyand

evenincasesofAPL,alowersurvivalratehasbeendescribed

inolderpatients.8,9

Overall,ourseriessuggeststhatmortalitydropped

signif-icantlyovertheyearsinthisregion.Thepossiblereasonsfor

thisfindingarebasedontheimprovementsinthequalityof

carewhichwasintroducedbyourteamintheValedoParaíba

sinceearly1999;thepracticeguidelinesfortheuseof

antimi-crobialagentsinneutropenicpatientswithcancer,hospital

environmental precautions, more intensive chemotherapy

followed byautologoushematopoietic stem cell

transplan-tation(whichhasbeen usedinthisregion since2004)and

allogeneic bone marrow transplant from related or

unre-lateddonorsprobablyledtobettersurvivalofthesepatients.

Besides,newtreatmentoptionssuchastheuseofall-trans

retinoicacid(ATRA)pluschemotherapy,whichwasassociated

withahighcompleteremissionrateinnewlydiagnosedAPL,

andtheuseofanti-tyrosinekinasetargetedtherapyspecific

fortheBCR-ABLrearrangementinCML(authorizedinBrazil

sinceOctober,2001)couldalsoexplaintheobserveddecrease

inmortality.Ontheother hand,ourfindingscontrast with

theupwardtrendinmortalityseeninBrazilasawhole.We

believethatdifferentBrazilianregionsalsohaveexperienced

improvementshowever, thereisstill abiasedallocation of

resources,underinvestmentinequipmentandinfrastructure

andinequitiesincancercareacrosspopulationgroups;some

institutionsprovideallaspectsofhealthcaretospecific

popu-lationswhileothersareexcludedwhichconsequentlyreflects

onthemortalityratesobservedinBrazil.

The age-adjusted mortality rates in younger groups

declinedinsignificantlyoverthelastfewyears.Furthermore,

astrikingfinding ofthepresent study isthatthe decrease

wasthegreatestforover70-year-oldpatientscontrastingwith

those observedforthe sameage groupin Brazil.This

sce-narioisdifficultto explain.Ithas beendemonstrated that

patientswhowerediagnosedwithAMLatyoungerageshave

highersurvivalrates,10andCMLisexpectedinthisagerange.

Basedonthesereasonsandconsideringtheaforementioned

improvementsinthequalityofcareinthisregion,weexpected

tofind amoresignificant dropacross timein theyounger

groups. It is possible that a significant decline could not

bedemonstrated for youngerpatients because deathrates

were consistentlylow overthe years.Moreover,inanother

studyregardingdemographiccharacteristicsofhematological

malignanciesintheValedoParaíba,11 itwasdemonstrated

that the periodbetween the first symptomsand definitive

diagnosisofthediseaseinthisagerangewas greaterthan

twomonthsin65%ofthecases;adelayinreceivingaproper

diagnosiswhich consequentlyworsensthechancesof

suc-cessfulchemotherapymayexplainthesefindings.Withregard

toolderpatients,improvementsinearlydeathratesandlong

termsurvivalweredemonstratedeveninolderpatientswith

AML9;thefallinmortalityrateswithadvancingagepointsto

anincreaseinthequalityofcare,suggestingthatoldpatients

maybereceivingoptimaltreatmentfortheirconditionsinthis

region.

Finally,thedropincancermortalityisnotsurprising.The

AmericanCancerSocietyrecentlydemonstratedthatcancer

deathrateshavedeclined20% overthelast20yearsinthe

UnitedStates.2 Inaddition, authorshavereportedan

asso-ciation betweensocioeconomic statusand mortalitydueto

cancerindifferentregionsoftheworld.12–15Inthiscontext,

theValedoParaíbahasmadegreatstridesduetotheeconomic

andsocialdevelopmentofthepopulation,includingterritorial

expansionandindustrialization.Thepresentworksuggests

thatourcombinedandcontinuouseffortstomakebetterand

sustained improvementsinthequality ofcancercare

con-tributedtothedecreaseinmyeloidleukemiamortalityrates

acrossthe18-yearperiodstudied.

Conclusion

Despitethemethodologicallimitations,thedataofthisstudy

suggestasignificantdeclineinage-adjustedmortalityratesof

patientsdiagnosedwithmyeloidleukemiafrom1994to2011

intheValedoParaíba,StateofSãoPaulo.

Conflicts

of

interest

Theauthorsdeclarenoconflictsofinterest.

r

e

f

e

r

e

n

c

e

s

1.DraperGJ.Childhoodcancer:trendsinincidence,survival andmortality.EurJCancer.1995;31A(5):653–4.

2.SiegelR,NaishadlamD,JemalA.Cancerstatistics,2013.CA CancerJClin.2013;63(1):11–30.

3.Brasil.MinistériodaSaúdeInstitutoNacionaldoCâncer.

Estimativa2010:incidênciadecâncernoBrasil[Internet].Rio

deJaneiro:INCA;2009.Availablefrom:http://www.inca.gov.

br/estimativa/2010/estimativa20091201.pdf[cited20.3.14].

4.Brasil.MinistériodaSaúde[Internet];2014.Availablefrom:

http://www2.datasus.gov.br/DATASUS/index.php?area=0205

andhttp://www2.datasus.gov.br/DATASUS/index.php? area=0206[citedfrom16.1.14to20.3.14].

5.KimHJ,FayMP,FeuerEJ,MidthuneDN.Permutationtestsfor Joinpointregressionwithapplicationtocancerrates.Stat Med.2000;19(3):335–51.

6.NationalCancerInstitute.SurveillanceResearchCancer

ControlandPopulationSciences;2014.Availablefrom:

https://surveillance.cancer.gov/joinpoint/[cited27.3.14]. 7.GossPE,LeeBL,Badovinac-CrnjevicT,Strasser-WeipplK,

Chavarri-GuerraY,StLouisJ,etal.Planningcancercontrolin LatinAmericaandtheCaribbean.LancetOncol.

2013;14(5):391–436.

8.LowenbergB,DowningJR,BurnettA.Acutemyeloid leukemia.NEnglJMed.1999;341(14):1051–62.

9.JuliussonG,AntunovicP,DerolfA,LehmannS,MöllgârdL, StockelbergD,etal.Ageandacutemyeloidleukemia:real worlddataondecisiontotreatandoutcomesfromthe SwedishAcuteLeukemiaRegistry.Blood.

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10.PulteD,GondosA,BrennerH.Improvementsinsurvivalof adultsdiagnosedwithacutemyeloblasticleukemiainthe early21stcentury.Haematologica.2008;93(4):594–600.

11.CalleraF,VitalBrasilAA,CasaliARL,MulinCC,RosaES, BarbosaMA,etal.OncohematologicaldiseasesintheValedo Paraíba,StateofSãoPaulo:demographicaspects,prevalences andincidences.RevBrasHematolHemoter.2011;33(2):120–5.

12.MaynadiéM,GirodonF,Manivet-JanorayI,MounierM, MugneretF,BaillyF,etal.Twenty-fiveyearsof

epidemiologicalrecordingonmyeloidmalignancies:data fromspecializedregistryofhematologicmalignanciesofCôte d’Or(Burgundy,France).Haematologia.2011;96(1):55–61.

13.UedaK,TsukumaH,AjikiW,OshimaA.Socioeconomic factorsandcancerincidence,mortality,andsurvivalina metropolitanareaofJapan:across-sectionalecologicalstudy. CancerSci.2005;96(10):684–8.

14.WardE,JemalA,CokkinidesV,SinghGK,CardinezC,Ghafoor A,etal.Cancerdisparitiesbyrace/ethnicityand

socioeconomicstatus.CACancerJClin.2004;54(2): 78–93.

Imagem

Figure 1 – Estimated crude mortality rate (per 100,000 inhabitants) according to age range and gender
Figure 2 – Trends in age-adjusted mortality rate for over 20-year-old males and females from 1994 to 2011.

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