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revbrashematolhemoter.2016;38(2):172–174

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

Revista

Brasileira

de

Hematologia

e

Hemoterapia

Brazilian

Journal

of

Hematology

and

Hemotherapy

Letter

to

the

Editor

Trends

in

mortality

due

to

myeloid

leukemia

in

regions

of

Brazil

and

the

country

as

a

whole

between

1980

and

2012

DearEditor,

Weread with great interest the article entitled “Trends in mortalityofadultpatientsdiagnosedwithmyeloidleukemia from 1994to 2011in southeastern Brazil”by Calleraet al. publishedintheRevistaBrasileiradeHematologiaeHemoterapia (2015;37(1):7–11),1andwewouldliketomakesomecomments. Thesubject ofthe article is very importantfor clinical oncologyandcancersurveillanceasitpresentsatimeseries analysisshowingadecliningtrendinmortalityfrommyeloid leukemiainoneareaoftherichestregionofBrazil.Itis under-stoodthatthisdeclineisaresultoftheimprovingqualityof accesstohealthserviceswithearlydiagnosisofthedisease andclinicalmanagement.However,Brazilisthesizeofa conti-nentaland,therefore,webelieveitisimportanttoobservethe trendofmortalityduetomyeloidleukemiainotherregionsof Brazilandthecountryasawhole.

In2014,theBrazilianNationalCancerInstituteestimated the incidenceofleukemia inBrazil tobearound 5050and 4320new casesfor menand women, respectively. Exclud-ingnon-melanomaskintumors,leukemia isthefifthmost common cancer in men in the Northern Region of the country (3.57/100,000) and in the Northeastern Region, it isthe eighthmostcommon (4.15/100,000).However,inthe South (8.13/100,000), Southeast (5.42/100,000) and Midwest (4.14/100,000), it is ranked the tenth most common can-cer.For women, it isthe seventh mostcommon cancer in the North (2.81/100,000), the eighth most common in the South(6.30/100,000)andintheNortheast(3.40/100,000),itis rankedthetenthmostcommonmalignancy.IntheSoutheast (4.50/100,000) and Midwest (3.41/100,000),it isthe eleventh mostfrequent.2

Thisinconsistencyhasbeenobservedworldwide. GLOBO-CAN estimates the global prevalence of leukemia to be 4.7/100,000inhabitants.Thesamereportshows,however,that thereare differencesintherateswhencomparingmedium (3.8/100,000) and under (2.5/100,000) developed countries. Withregard tomortality, the globalestimate is3.4/100,000

inhabitants,3.2/100,000formediumand2.4/100,000forunder developmentcountries.3

By using a methodology4 similar to Callera et al.,1 we identifiedimportantdifferencesindifferentBrazilianregions. Myeloidleukemiamortalityratesbetween1980and2012are different when stratified by gender. The rates in men are consistentlyhigher[in1987inBrazil(24.65%),in1988inthe Midwest(42.71%),in1982intheNortheast(40.78%),in1985in theNorth(71.79%)and,morerecently,in2003intheSoutheast (26.13%)andtheSouth(34.67%)],whichmaypointto impor-tantdifferencesbetweenthegenders.Inaddition,theratesare consistentlyhigherintheSoutheastandSouth,regardlessof gender,whichshowsregionaldifferencesintheimpactofthe disease(Figure1).

Regardingthetrend,thereisadifferencerelatedto gen-der and region.For males,there wasasignificant increase intheincidenceratesinBrazilbetween1980and2005.After 2005, there was a statistically non-significant drop in the rates.IntheMidwest,NorthandSouth,thereweresignificant andlinearincreasesfortheentireperiod.FortheNortheast, therewere twoperiodsofsignificantincreases(atdifferent degrees):1980–1997and1997–2007.Sincethen,therehasbeen nosignificant decrease.TheSoutheasthasshowna signifi-cantreductioninratesfrom2001,afteraperiodofsignificant increasesbetween1980and2001.

For women, Brazil has seen a statistically significant declinesince2003,althoughtherateincreasedbetween1980 and 1996,and from 1996to2003,bydifferentextents.The Northern region and Midwest have had significant linear increases in rates for the whole period, similar to males. TheNortheast has shownacyclicfluctuation, witha non-significant increase between 1980 and 1996, a significant increasebetween1996and2004,andanon-significantdecline between2004and2012.TheSoutheastandSouthshowed sig-nificantincreasesbetween1980and2004,and1980and2005. Afterthat,anon-significantdecreasewasseen(Table1).

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revbrashematolhemoter.2 0 1 6;38(2):172–174

173

2.5

2

1.5

1

0.5

0

2

1.8

1.6

1.4

1.2

1

0.8

0.6

0.4

0.2

0

1980 1984 1988 1992 1996

Year

Midwest Brazil

Female Male

Northeast North Southeast South

2000 2004 2008 2012

1980 1984 1988 1992 1996

Year

Midwest

Brazil Northeast North Southeast South

2000 2004 2008

Adjusted mor

tality r

ate mo

ving a

ver

age (per 100 mil

inhabitants)

Adjusted mor

tality r

ate mo

ving a

ver

age (per 100 mil

inhabitants)

2012

Figure1–Trendinmortalityratesduetomyeloidleukemiaadjustedforagebygender.

strategieshaveprovidedincreasedsurvivalratesforpatients sufferingfrommyeloidleukemia.5Bothincidenceand mor-talityratesaredifficulttointerpretbecauseleukemiaisoften diagnosedincidentallyorwhileevaluatingotherconditions. Therefore,differencesinmedicalcaremaybeasubstantial biasinrespecttoincidencedata.Moreover,duetodifferences inaccesstotreatment, thereare considerablevariationsin survivalratesworldwide,whichmayexplainthedifferences intheratesinspecificregionsofBrazil.

There are alsohuge regionaldifferences related to sec-ondarypreventionstrategies,whicharebetterintheSouth and Southeast, and worse in the North and Northeast. Nonetheless, some particularities ought to be considered

whendiscussingriskfactors.For example,thereare places intheNorthwherethesoilhasanaturalsourceofradiation andBrazilhasthehighestrateofpesticideuseintheworld.

Finally, drops inmortality ratesare associatedwith the improvementoftheuseofantibiotics,suchasvoriconazole, caspofunginandpiperacillin/tazobactam,whichhavelow tox-icity(lessrenalandhepaticlesions).

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174

revbrashematolhemoter.2 0 1 6;38(2):172–174

Table1–Annualpercentagechangeintheleukemia

mortalityrateadjustedforagebygender.

Region Period APC 95%CI p-Value

Range

Men

Brazil 1980–2005 1.12 0.90 1.34 <0.001 2005–2012 −1.42 −2.86 0.05 0.058 Midwest 1980–2012 1.86 0.95 2.77 <0.001 Northeast 1980–1997 1.89 1.06 2.71 <0.001 1997–2007 5.12 2.95 7.39 <0.001 2007–2012 −1.81 −6.76 3.43 0.477 North 1980–2012 3.41 2.35 4.48 <0.001 Southeast 1980–2001 0.16 0.24 0.94 0.002 2001–2012 −1.41 −2.31 −0.49 0.004

South 1980–2012 0.68 0.29 1.13 0.002

Women

Brazil 1980–1996 0.58 0.12 1.04 0.015

1996–2003 2.69 0.64 4.78 0.012

2003–2012 −1.66 −2.72 −0.58 0.004 Midwest 1980–2012 1.47 0.82 2.11 <0.001 Northeast 1980–1996 0.65 −0.45 1.77 0.236

1996–2004 6.43 2.41 10.61 0.003

2004–2012 −0.13 −3.22 3.07 0.936 North 1980–2012 2.41 1.25 3.59 <0.001 Southeast 1980–2004 0.65 0.34 0.97 <0.001 2004–2012 −2.88 −4.48 −1.25 0.001 South 1980–2005 1.47 1.07 1.88 <0.001 2005–2008 −6.32 −23.63 14.90 0.516 2008–2012 4.33 −2.19 11.29 0.189

APC:annualpercentchange;95%CI:95%confidenceinterval.

inBrazil,itisimportanttoidentifyareaswherethetrendis stillincreasinginordertoadaptpublichealthstrategiesfrom wherethetrendisdecreasingtoachieveapositiveresultin thecountryasawhole.

Conflicts

of

interest

Theauthorsdeclarenoconflictsofinterest.

r

e

f

e

r

e

n

c

e

s

1.CalleraF,CalleraAF,RosaES.Trendsinmortalityofadult patientsdiagnosedwithmyeloidleukemiafrom1994to2011 insoutheasternBrazil.RevBrasHematolHemoter.

2015;37(1):7–11.

2.InstitutoNacionaldeCâncerJoséAlencarGomesdaSilva. Coordenac¸ãodePrevenc¸ãoeVigilânciaEstimativa2014: IncidênciadeCâncernoBrasil.RiodeJaneiro:INCA;2014.

3.GLOBOCAN2012.Estimatedcancerincidence,mortalityand prevalenceworldwidein2012;2012.Availablefrom:

www.globocan.iarc.fr[cited2015April2][Internet].

4.KimHJ,FayMP,FeuerEJ,MidthuneDN.Permutationtestsfor Joinpointregressionwithapplicationtocancerrates.StatMed. 2000;19(3):335–51.

5.HamerschlakN.Myeloidleukemia:arewegettingbetter?Rev BrasHematolHemoter.2015;37(1):3–4.

RaphaelMendonc¸aGuimarães∗,JulianaValentimChaiblich,

BárbaraCamposSilvaValente

EscolaPolitécnicadeSaúdeJoaquimVenâncio(EPSJV),Riode Janeiro,RJ,Brazil

Correspondingauthorat:EscolaPolitécnicadeSaúdeJoaquim

Venâncio,Sala319,Av.Brasil4365,Manguinhos,RiodeJaneiro, RJ,Brazil.

E-mailaddress:raphael.guimaraes@fiocruz.br

(R.M.Guimarães).

Received4April2015 Accepted16December2015 Availableonline3February2016

http://dx.doi.org/10.1016/j.bjhh.2015.12.003

Imagem

Figure 1 – Trend in mortality rates due to myeloid leukemia adjusted for age by gender.
Table 1 – Annual percentage change in the leukemia mortality rate adjusted for age by gender.

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