w w w . e l s e v ie r . c o m / l o c a t e / b j i d
The
Brazilian
Journal
of
INFECTIOUS
DISEASES
Original
article
Cardiovascular
risk
profile
in
patients
with
myelopathy
associated
with
HTLV-1
夽
Fabio
Luís
Silva
do
Prado
a,b,∗,
Renata
Prado
c,
Ana
Marice
Teixeira
Ladeia
aaEscolaBahianadeMedicinaeSaúdePública,Salvador,BA,Brazil bRedeSarahdeHospitaisdeReabilitac¸ão,Salvador,BA,Brazil cVanguardSkinSpecialists,ColoradoSprings,CO,UnitedStates
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received1June2016 Accepted4January2017 Availableonline7March2017
Keywords: HTLV-1 HAM/TSP Cardiovascularrisk Creactiveprotein Interleukin-6
a
b
s
t
r
a
c
t
HAM/TSP(HTLV-1-associatedmyelopathy/tropicalspasticparaparesis)isaslowly progres-sivedisease,characterizedbyachronicspasticparaparesis.Itisnotknownifthedisease carriesanindependentriskforcardiovasculardisease.Theobjectiveofthisstudywasto evaluatethecardiovascularriskprofilerelatedtoHAM/TSPandcompareitwiththegeneral population.
Methods:Thiswasacross-sectionalstudy,withacontrolgroup.HAM/TSPpatientswere evaluated usingcardiovascularrisk scores(ASCVDRISK,SCOREandFramingham) and inflammatorymarkers(ultrasensitiveCRPandIL-6),andcomparedwithacontrolgroup ofhealthyindividuals.Wealsoevaluatedthecorrelationbetweencardiovascularriskand thefunctionalstatusofpatientswithHAM/TSPevaluatedbytheFIMscale.
Results:Eightypercentofpatientsinthisstudywerefemales,meanageof51years(11.3). Thecontrolgroupshowedanincreasedcardiovasculareventriskin10yearswhenASCVD wasanalyzed(cardiovascularrisk≥7.5%in10yearsseenin43%ofpatientsinthecontrol groupvs.23%ofpatientswithHAM/TSP;p=0.037).Therewasnodifferenceinultrasensitive CRPorIL-6valuesbetweenthegroups,evenwhengroupswerestratifiedintolowandhigh risk.TherewasnocorrelationbetweenthefunctionalstatusofHAM/TSPpatientsandthe cardiovascularrisk.
Conclusions:Inthisstudy,thecardiovascularriskprofileofpatientswithHAM/TSPwasbetter thantheriskofthecontrolgroup.
©2017SociedadeBrasileiradeInfectologia.PublishedbyElsevierEditoraLtda.Thisisan openaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.org/licenses/ by-nc-nd/4.0/).
夽ThisarticleispartofFabioPradoMScThesisofBahianaSchoolofMedicineandPublicHealthPostGraduateCourse. ∗ Correspondingauthor.
E-mailaddress:[email protected](F.L.Prado).
http://dx.doi.org/10.1016/j.bjid.2017.01.007
1413-8670/©2017SociedadeBrasileiradeInfectologia.PublishedbyElsevierEditoraLtda.ThisisanopenaccessarticleundertheCC BY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Introduction
HumanT-lymphotropic virus type 1 (HTLV-1) was the first knownhumanretrovirus,describedin1979byPoiesz.1Itis
estimatedthat15–20millionpeopleareaffectedworldwide.2
TheincidenceofHTLV-1infectionishigherinJapan,Africa, andCaribbeanIslands,whereitmayaffect5%ormoreofthe population.3Theviruswasinitiallyassociatedwithadult
T-cellleukemia;subsequently,myelopathy(HTLV-1-associated myelopathy/tropicalspasticparaparesis–HAM/TSP),uveitis, andinfectivedermatitiswerealsoassociatedwiththevirus.4–7
Only5–10%ofpatients,however,developclinical manifesta-tions.
HAM/TSPisaslowlyprogressivedisease.Itischaracterized byachronicspasticparaparesis,neurogenicbladder, neuro-genicbowel,spasticityandneuropathicpain.Becausethese symptomsaresimilartothosefoundinpatientswithother spinalcorddiseases(traumaticornon-traumatic),their treat-mentoverlaps,consistingmostlyofsupportivemeasuresand rehabilitation.Thereiscurrentlynoantiviraltreatmentforthe disease.OnceHAM/TSPdevelops,itisusuallyprogressiveand irreversible.
Inthepast,pulmonaryandrenalcomplicationswerethe maincausesofmorbidityandmortalityofpatientswith trau-maticspinalcordinjury.8,9However,cardiovasculardiseaseis
nowoneoftheleadingcausesofdeath.8,10,11Riskfactorssuch
asdiabetes,lowHDL-cholesterol(HDL-C),sedentarylife-style, andsmokinghaveahigherprevalenceamongpatientswith spinalcordinjury.8,10,12–14
Few studies describe the cardiovascular involvement relatedtoHTLV-1.In2014,Layeghetal.,15inacross-sectional
studyassessedatherosclerosisinpatientswithHTLV-1.The authors found that HTLV -1 infected patients had greater carotid intima-media thickness than age-mached healthy controls. In 1996, Stuver et al. found increased incidence of cardiovascular diseases and EKG changes in patients infected with HTLV-1.16 In 2013, Shabestari et al. found
increasedprevalenceofHTLV-1amongpatientsundergoing angiography.17
TheHumanImmunodeficiencyVirus(HIV),another retro-virus,isassociatedtoincreasedcardiovascularrisk.Freinberg etal.studied82,459patientswithHIVduring5.9years.After adjusting for comorbiditiesand cardiovascular risk scores, theyfoundthatHIVwasanindependentcardiovascularrisk factor, raising the risk of a myocardial infarction by 50%. ThemechanismbywhichHIVincreasestheriskof myocar-dialinfarctionisnotknown;itisthoughtthatviralinduced inflammationandendothelialdysfunctionmayplayarole.18
Anti-retroviral therapies, especially protease inhibitors are alsorelatedtohighercardiovascularrisk.19AsHIVandHTLV-1
arebothretrovirusandsharesimilarreplicationenzymessuch asretroviralproteases,20 onecouldhypothesize that
HTLV-1infectioncouldalsobeanindependentcardiovascularrisk factor.
Theobjectiveofthepresentstudywastoevaluatethe car-diovascularriskprofileofpatientswithHAM/TSPandcompare itwiththegeneralpopulation.
Methods
Studydesign
Thiswasacross-sectionalstudy,withacontrolgroup.
Patientsandsettings
The study group was comprised of HAM/TSP patients fol-lowedinarehabilitationHospitalinthecityofSalvador,Brazil fromJuly2014toOctober2015.Allpatientshadthediagnosis ofHAM/TSPdefinedaccordingtotheCastro–Costacriteria.21
Patients with other possible causes for spinalcord lesions wereexcluded.Patientswithpossiblecausesforchangesin inflammatorytestssuchasacute infections,rheumatologic diseases, inflammatorybowel disease,and use of corticos-teroids or nonsteroidal anti-inflammatory drugs were also excluded.
MidlevelemployeesofHospitalSarahSalvadorconstituted thecontrolgroup.Theywerepairedina1:1proportion, match-ingforsexandage±5years.
Socio-demographicdata,physicalexaminationand laboratorytests
Data werecollected duringindividualizedinterviews,using a standardizedquestionnaire. Socio-demographic data and informationaboutHAM/TSPdisease(suchasdurationofthe diseaseandcomorbiditiesassociatedtothemyelopathy)were collected.
Weightwas obtainedinacalibrated scale withpatients usinglightclothing.Forwalkingpatientsandinthecontrol group, heightwasobtainedusing themetric measurement barattachedtoananthropometricscale.Inwheelchairbound patients,heightwasobtainedwiththepatientinthesupine position,usingaflexibleinelastictape,measuringsegments ofthebodyfromtheheeltohead.Bodymassindex(BMI)was calculatedbytheQueteletformula(weight/height2).
Aninelasticflexibletapewasusedtomeasurewaist cir-cumference.Themeasurementwasobtainedwiththepatient standingupright,witharmsoutstretched,afteranormal expi-ration,atthemidpointbetweenthelastribandtheanterior superioriliaccrest.22Wheelchairboundpatientswereassisted
toastandingpositionwiththeuseofawalker,parallelbars orastandingtableforthismeasurement,wheneverpossible. Thewaistcircumferencewasnotmeasuredifastanding posi-tionwasnotattainable.Twomeasurementswereperformed, andtheaverageofthevalueswasrecorded.
Blood pressure was measured with aneroid sphygmo-manometer with patients seated with supported upper extremity at the heart level. Patients were at rest for at least 10min and had not smoked or drank coffee 30min priortothemeasurement.23Patientswithneurogenic
blad-derunderwentbladdercatheterizationbeforebloodpressure measurement.Twomeasurementswereperformed,the sec-ondoneminuteafterthefirst,andtheaverageofthevalues wasrecorded.23
Presenceof metabolicsyndrome was assessedbyusing the International DiabetesFederation criteriaas previously described.24Metabolicsyndromereferstoaclusterof
asso-ciated symptoms composed of impaired fasting glucose, abdominalobesity,hypertension,anddyslipidemia.Itis asso-ciatedwithanincreasedriskofcardiovascularmorbidityand mortality.Theincreasedamountofvisceralfattogetherwith achronicinflammatorystatepredisposestothedevelopment ofarteriosclerosis.
IntheHAM/TSPgroup, thefunctional statuswas evalu-atedusingtheFunctionalIndependenceMeasure(FIM)scale,a highlyacceptedandutilizedtoolforneurologicalpatientsthat hasbeenvalidatedinBrazil.25Itisusedprimarilyinpatients
withneurologicalsequelaeandevaluates18categoriesthat arescoredfrom1to7determinantsofthelevelofdependency toperformatask.Thesumofthepointsobtainedwillclassify thepatientintofoursubscores:completedependency, modi-fieddependency(assistanceofupto50%ofthetask),modified independence(assistanceofupto25%ofthetask),andtotal independence.
Bloodsamplescollected aftera12-hourfastingincluded glucose, total cholesterol, LDL cholesterol (LDL-C), HDL cholesterol(HDL-C),triglycerides(spectrophotometry), com-plete blood count (Flow Cytometry, impedanceand optical microscopy),creatinine(Jaffé),ultrasensitiveCreactive pro-tein(CRP) (nephelometry,BNProspec®), interleukin-6(IL-6) (chemiluminescence, Simens Imullite thousand®), proviral load(PolymeraseChainReaction)fortheHAM/TSPpatients andHTLV-1testdetection(ELISA)forthecontrolgroup.All testswereperformedinhospital’slaboratoriesattheSarah Network.
Cardiovascularriskevaluation
Three different cardiovascular risk scores were used: AtheroscleroticCardiovascularDiseaseRisk(ASCVDRisk),the Framingham score,and the EuropeanSystematicCoronary RiskEvaluation(SCORE).Wecomparedtheabsolutevalueof 10-yearcardiovascularriskofeachscore.Themainoutcome ofthisstudy,however,wasthecardiovascularriskassessedby ASCVDRISK.TheASCVDRISKwaschosensinceitisascore developedfromalargenumberofpatientsincludingpatients with different racial background, and it predicts the risk forfatal and non-fatal events. Patients were dichotomized intotwogroups: lowrisk/noneedfortherapeutic interven-tion, and intermediate and high risk/need for therapeutic intervention.
The ASCVD RISK was created in 2013 in a partnership betweentheAmericanHeartAssociation,AmericanCollegeof CardiologyandtheNationalHeart,LungandBloodInstitute. ItusesdatafromCohortssuchastheARICstudy (Atheroscle-rosisRiskinCommunities),CARDIAstudy (CoronaryArtery Risk Development in Young Adults) and the Framingham study.Thesepatientswerefollowedforatleast12years,and were mainly white non-Hispanics and African Americans. Thescorewascreatedtocalculatethecardiovascularriskof adultsbetween40and79yearsofage.Itestimatestherisk ofdevelopingfatalornon-fatal acutemyocardialinfarction or stroke in 10 years based on the variables gender, age,
race, total cholesterol and HDL-C, systolic blood pressure, smoking,anddiabetes.26Patientswithdiabetes,symptomatic
cardiovascular disease, or a cardiovascular risk ≥7.5% are consideredhighriskpatients.
The Framingham Risk Score was created from data obtained in the Framingham Heart Study. This cohort study started in 1948 in the city of Framingham, Mas-sachusetts, withabout 5000participants.27 In2008 ascore
for assessment ofcardiovascular risk in primary care was establishedbyestimatingtheprobabilityofmyocardial infarc-tion, stroke, peripheral arterial disease, and heart failure in the next 10 years. This score uses as variables gen-der, age, smoking,diabetes, systolic blood pressure,use of medications for high blood pressure,total cholesterol, and HDL-C.28TheFraminghamRiskScoreclassifiespatientsinto
three groups: low risk (<5% risk of cardiovascular event in 10 years), intermediate risk (5–20% for men and 5–10% for women), and high risk (>20% for men and >10% for women).
TheEuropeanSCOREisatoolcreatedin2003withdata from12Europeancohorts,including205,178patientsfollowed between1970and1988.Itestimatestheriskoffatal cardiovas-culareventsin10years,suchasmyocardialinfarction,stroke, andaorticaneurysmbasedonthevariablesgender,age,total cholesterol,systolicbloodpressure,andsmokingstatus.29The
EuropeanSCOREalsoclassifiespatientsintothreegroups:low risk(<1%riskofcardiovasculareventin10years), intermedi-aterisk(1–5%),andhighrisk(>5%).Patientswithdiabetesare consideredhighrisk.
Thecardiovascularriskwasalsoevaluatedusing ultrasen-sitiveCRPandIL-6,inflammatorymarkersthatareelevatedin patientswithincreasedcardiovascularrisk.30,31Patientswere
consideredtohaveahighcardiovascularriskifIL-6>3.4pg/ml and/orCRP>2mg/l.
Statisticalanalysis
All analyses were performed by the statistical package SPSS (Statistical Package for Social Sciences) version 21.0.
Categorical variables were comparedusing a chi-square test with Yates’s correction for continuity, as appropriate. Continuous variables were assessed for significant depar-tures from normality. Normally distributed variables were summarized usingmean and standarddeviationand com-paredusingattest.Skewedvariablesweresummarizedusing medianandinterquartilerange(IQR)andcomparedusinga Mann–Whitneytest.
We conducteda multivariate analysisby binary logistic regression.Weincludedinthemultivariatemodelfactorswith
p<0.20inunivariateanalysis,whichhadbiological plausibil-ity and werenotusedinthe riskscore.Thefinal outcome was dichotomous (lowcardiovascular riskprofile RCV/high cardiovascularriskprofile),andthefinalmodelobtainedby theBackwardmethod.
InHAM/TSPgroup,thecorrelationbetweenFIMscale val-uesandcardiovascularriskwasevaluatedusingSpearman’s rho.
Samplesizecalculation
Thesamplesize wascalculated toconfer statistical power tothepresetanalysis.Fifty-sixpatientswereneededineach grouptoprovidean80%powertodetectadifferenceof28%of patientswithintermediate/highcardiovascularriskbetween thegroups.Usingdatafrompreviousstudies10,14,32we
esti-matedthat65%ofthepatientswithHAM/TSPwouldhavean intermediate/highcardiovascularrisk,whiletheprevalencein thecomparativegroupwouldbe37%.
Ethicalaspects
Thestudywasincompliancewiththeguidelinesonhuman researchoftheHelsinkiDeclarationandtheNationalHealth CouncilResolution466/2012.Thestudywassubmittedtothe EthicsCommitteeoftheSarahNetworkandapprovedinJune, 2014(CAAE 31338914.2.0000.0022). All participantsreceived detailedinformationinwritingandverballyaboutthestudy objectives,risksandbenefitsinvolvedintheprocedures,and signedinformedconsentbeforebeingsubmittedtothe proce-duresdescribedinmethods.
Results
The social and clinical characteristics of the patients are presentedinTable1. Inbothgroups, 80% ofpatients were
female with a mean age ofapproximately 51 years (11.3). There was no difference between groups with respect to race(p=0.081).Thegroupsdifferedintheeducationalstatus (p<0.001)andfamilyincome(p<0.001),withthecontrolgroup presentingwithmoreyearsofformaleducationandhigher income.
Thecontrolgrouphad ahigherprevalenceof hyperten-sion(46%versus18%ofpatientsinHAM/TSPgroup,p=0.002). Thewaist circumferenceofwomen ofthis group wasalso significantlyhigher(95cm(13)versus88cm(13)ofHAM/TSP group,p=0.019).Theincidenceofdiabetesmellituswashigher in the HAM/TSP group (16% versus 4% of control group,
p=0.026);however,themedianfastingbloodglucosewas simi-larbetweenthegroups(90mg/dlintheHAM/TSPgroupversus 92mg/dlinthecontrolgroup,p=0.239).Thecontrolgrouphad significantlyhighertotalcholesterollevel(200mg/dl(42) ver-sus179mg/dl(33),p=0.007),andtriglyceride levels(median of 134mg/dl versus 102mg/dl in HAM/TSPgroup, p=0.012, Mann–Whitney). HDL-C level was also higher in HAM/TSP group(46mg/dl(10)versus39mg/dl(9)p<0.001).
Thecontrolgrouphad higherBMI(29kg/m2 (4.7) versus 26kg/m2 (5), p<0.001). The prevalence of obese patients
(BMI>30kg/m2)wassignificantlyhigherinthecontrolgroup
thanintheHAM/TSPgroup(43%versus16%,p=0.001).There wasnosignificantdifferenceintheprevalenceofmetabolic syndrome, although we observed a trend toward higher
Table1–Characteristicsofthestudysamples.
Variables HAM/TSPn=56 Controln=56 p-Valuea
Women 45(80%) 45(80%) >0.999
Age(years)(meanSD) 52(12) 51(11) 0.790
Race White 18(32%) 10(18%) 0.081 Non-white 38(68%) 46(82%) Education Noformaleducation 2(4%) 0 1–3years 11(20%) 3(5%) <0.001 4–7years 22(39%) 6(11%) 8–10years 7(12%) 13(23%) >10years 14(25%) 34(61%) Income
<3minimumwagesalaries 34(61%) 8(14%) <0.001 ≥3minimumwagesalaries 22(39%) 48(86%)
Bodymassindex(BMI)(kg/m2)
Waistcircumference(cm) 26(5) 29(4.7) <0.001 Women(n=45) 88(13) 95(13) 0.019 Men(n=11) 93(17) 98(10) 0.389 Hypertension 10(18%) 26(46%) 0.002 Smoking 4(7%) 5(9%) 0.728 Diabetes 9(16%) 2(4%) 0.026
Familyhistoryofcardiovasculardiseaseb 4(7%) 11(20%) 0.096
Metabolicsyndrome 24(44%) 33(60%) 0.127
Totalcholesterol(mg/dl) 179(33) 200(42) 0.005
LDLcholesterol(mg/dl) 118(30) 127(38) 0.167
HDLcholesterol(mg/dl) 39(9) 47(10) 0.000
Triglycerides(mg/dl)(median,IQR) 101(71–152) 132(95–177) 0.011 Fastingglucose(mg/dl) 90(83–96) 92(87–100) 0.200
a UsedttestandMann–Whitneyforcontinuousvariablesandx2orYate’scorrectionforcontinuitywhenappropriateforcategoricalvariables.
Table2–HAM/TSPpatientscharacteristics(n=56). Ageofonsetofsymptoms(years)(mean±SD) 41(12,7) Durationofdisease(years)(median,IQR) 10(5,14)
Neurogenicbladder 55(98%)
Neurogenicbowel 52(93%)
Lumbarpain 47(84%)
Uveitis 4(7%)
FIM*scalescore(n=32) 111(109–117)
Proviralload(HTLV-1copies/105cellscopies/ml) 2511(286–3518)
FIM,functionalindependencemeasure.
prevalenceinthecontrolgroup(60%versus44%ofHAM/TSP group,p=0.127).
Inthe HAM/TSPgroup,themeanageofonsetof myelo-pathysymptomswas41years(12.7).ThemedianFIMscale scorewas111(IQR109–117).Themedianprovirusloadwas 2510HTLV-1copies/105cellscopies/ml(IQR286–3518).Table2 showsthecharacteristicsofthesepatients.
The ASCVD, Framinghan, and SCORE risk scores were calculated for each patient in the HAM/TSP and control groups(Table3).BothgroupshadsimilarASCVDandSCORE risk scores; however, the control group showed a statis-tically significant higher Framingham risk score than the HAM/TSPgroup(medianof7.3%riskofcardiovasculareventin 10 years inthe controlgroup versus4.8% inthe HAM/TSP group,p=0.024).
UsingtheASCVDRISKscore,morepatientsinthecontrol groupwerefoundtohaveanintermediate/highcardiovascular
Table5–Multivariateanalysisfortheassociation betweeneducation,HAM/TSP,abdominalcircumference andBMI,andcardiovascularriskassessedbyASCVD RISK(n=92).
Variable Firstmodel
OR(IC95%) Finalmodel OR(IC95%) HAM/TSP 0.4(0.13–1.01) 0.4(0.18–1.11) Education 1.6(0.60–4.58) – Waistcircumference 3.6(0.70–19.03) 3.8(0.80–18.48) IMC 1.1(0.40–2.85) –
riskthanintheHAM/TSPgroup(43%ofpatientsinthecontrol groupversus23%ofpatientswithHAM/TSP,p=0.037). Simi-larly,whenusingFraminghamandSCORE,morepatientsin the control groupwere classified as intermediate/highrisk thanintheHAM/TSPgroup,althoughthisdifferencewasnot statisticallysignificant(Table3).
TherewasnodifferencebetweenultrasensitiveCRPand IL-6inbothgroupswhenweusedeithertheabsolutevalue orwhenthegroupswerecategorizedintolowandhighrisk patientsaccordingtotheirlabvalues(Table4).
Inmultivariateanalysis,noneoftheevaluatedfactorswere associatedwithabetterorworsecardiovascularriskprofile. Raceandincomewerenotincludedinthemodel,sinceraceis avariableusedinASCVDRISK.Incomeshowedastrong rela-tionshipwitheducation,whichcouldleadtoaninteractionin themodel(Table5).
Table3–CardiovascularriskscoresinHAM/TSPpatientsandcontrolgroup.
Variables HAM/TSP n=56 Control n=56 Prevalenceratio (IC95%) p-Valued
%Patientswithintermediate/highriska
ASCVDb 23% 43% 0.54(0.29–0.98) 0.04
Framingham 46% 63% 0.74(0.53–1.05) 0.09
SCORE 52% 59% 0.88(0.63–1.23) 0.45
Absolutevaluec
ASCVDb(median,IQR) 3.3(1.6–7.3) 4.8(1.9–14.3) 0.11
Framingham 4.8(2.3–9.9) 7.3(2.9–16.7) 0.02
Score 0.0(0–1.75) 1.0(0–2.00) 0.09
a Patientswithcardiovascularrisk≥5%evaluatedbyFraminghamScore,≥1%evaluatedbySCOREand≥7.5%evaluatedbyASCVD. b ASCVDRISKevaluates10riskofcardiovasculareventinpatientswithagefrom40to79years.n=49.
c %riskofacardiovasculareventin10years.
dUsedMann–Whitneyforcontinuousvariablesandx2forcategoricalvariablesorYate’scorrectionforcontinuitywhenappropriate.
Table4–InflammatorymarkersinHAM/TSPpatientsandcontrolgroup.
Variables HAM/TSP n=56 Control n=56 p-Valuea Absolutevalues CRPb(mg/l)(median,IQR) 2.6(1,5.5) 1.7(0.8,5) 0.510 IL-6b(pg/ml)(media,IQR) 2.4(0,3.3) 2.4(0,3.3) 0.858
Patientswithelevatedvalues(%)
CPRb>3mg/l 27(48%) 23(41%) 0.569
IL-6b>3.4pg/ml 12(23%) 9(17%) 0.661
a UsedMann–Whitneyforcontinuousvariablesandx2orYate’scorrectionforcontinuitywhenappropriateforcategoricalvariables.
Table6–Correlationbetweencardiovascularriskscore andFIMscalescore.
Variable FIMascalescore
Spearmen’srho p-Value
Framingham 0.098 0.595
SCORE 0.048 0.792
ASCVD 0.033 0.869
a FIM,Functionalindependencemeasure.
Ofthe56patientsinthisgroup,32wereevaluatedbythe FIMscale.TherewasnocorrelationbetweentheFIMscaleand thecardiovascularriskofthesepatients(Table6).
Discussion
Toourknowledge,thisisthefirststudyevaluatingthe cardio-vascularriskprofileofpatientswithHAM/TSP.Althoughwe initiallypostulated thatpatientswithHAM/TSPcould have aworsecardiovascularriskprofilethanthenormal popula-tion,thiswasnotseeninourstudy.Infact,morepatientsin thecontrolgrouphadhighercardiovascularscoresas mea-suredbyASCVD.ThemedianscoremeasuredbyFraminghan cardiovascularriskscorewasalsohigherinthisgroup.
Thisresultcanbepartiallyexplainedbythefactthatthe prevalenceofhighbloodpressure,totalcholesterol, triglyce-rides,andwaistcircumferencewassignificantlyhigherinthe controlgroup.However,itisimportanttonotethatHAM/TSP patients presented some characteristics that may actually lowertheircardiovascularrisk,suchaslowtotalcholesterol andlowbloodpressure.Althoughspinalcordinjurypatients usuallyhavehighprevalenceofdyslipidemia,thismaynotbe trueforHAM/TSPpatients.Doriaetal.,33evaluated54HTLV-1
patientsforatherosclerosisusingcarotidarteryDoppler.The authorsfoundthatonly35%ofthepatientshad atherosclero-sisandattributedthisfacttothelowdyslipidemiaprevalence amongthestudiedpatients.Furthermore,bloodpressure is alsoanimportantriskfactorforcardiovasculardiseaseandfor thisreasonitisconsideredinallscoresthatassess cardiovas-cularrisk.Changesinautonomiccontrolmechanismswere alsodescribedinthesepatientswithdysfunctioninthe sym-patheticnervoussystem.Ohishietal.,34showedthatHTLV-1
patientshadloweraveragebloodpressurein24handhigher averagesleepheartratewhencomparedtoacontrolgroup. Thisstudy tookplaceintheJapanesecityofNagasaki,and compared23 HTLV patients with 23 age and sex matched healthycontrols.Asbloodpressureandcholesterolare impor-tantcardiovascularriskfactors,thiscanmeanthatHAM/TSP patientsmayactuallyhave,infact,abettercardiovascularrisk profilethanapparentlyhealthyindividuals.35,36
There are other possible explanations for our results, includingtheapplicationofthecardiovascularscoresinthe HAM/TSPpopulation. Finnieet al.,10 evaluated the
cardio-vascularriskof75patientswithspinalcordinjury.Nineteen percentofthepatientshadanintermediate/high cardiovas-cularrisk when Framingham score was used, against37% whentheyevaluatedCRP.Theauthorsarguedthatthe Fram-inghamriskscoremayunderestimatethecardiovascularrisk ofspinalcordinjurypatients, because itmay notconsider
somespecificcharacteristicsofthispopulation.Thisfinding mayalsobetruefortheothertwoscoresusedinthisstudy.
Anotherfactorthatmayhaveplayedaroleinourfindingsis thatthepatientsinourHAM/TSPgrouparecloselymonitored inaspecializedrehabilitationcenterand receivehigh level medicalcare.Theyare evaluatedatleastannuallyor semi-annually by a specialized, multidisciplinary medicalteam, withemphasisnotonlyinrehabilitation,butalsoinpreventive medicine.Thefactthatthesepatientshadahigherprevalence ofhistoryofdiabetesthanthecontrolgroup,but their fas-tingbloodglucoselevelsweresimilar,demonstratestheclose monitoringandcontrolofcomorbiditiesinthisgroup. Consid-eringthattheyaresostrictlymonitored,theirriskfactorsmay beminimized.
Thecontrolgroupwasfoundtohaveahigherlevelof edu-cationandfamilyincome,whichisusuallyassociatedwith lower cardiovascular risk.37–39 Although onemay postulate
thatifthegroupsweresimilarintheirsocialeconomicstatus, thedifferencebetweenthecardiovascularriskcouldhadbeen evengreater (withHAM/TSPpatients showingwithamore significantlowercardiovascularrisk),inourmultivariate anal-ysis,educationlevelwasnotassociatedwithcardiovascular risk.
Despite the fact that HAM/TSP is considered a chronic inflammatorydisease,wedidnotfinddifferenceswhen eval-uatingultrasensitiveCRPandIL-6betweenthegroups.About 45%ofpatientsinthisstudyhadelevatedlevelsof ultrasen-sitiveCRP,andabout20%hadelevatedlevelsofIL-6,withno differencebetweentheHAM/TSPandthecontrolgroup. Ele-vatedlevelsofCRPandIL-6weredescribedbypreviousstudies inHTLV-1patients.40,41Onepossibleexplanationforour
find-ingisthehigherprevalenceinthecontrolgroupoffactorsalso associatedtoelevatedlevelsofinflammatorymarkers,suchas obesityandhypertension.42,43
ThefunctionalcapacityofpatientswithHAM/TSPinthis studyvariedwidely,withthescorebyFIMscalerangingfrom 72to121.Aworsefunctionalperformancecouldberelatedto ahighercardiovascularriskusingthehypothesisthatmost compromised patientsare more sedentary.44 However, this
studydidnotdemonstrateapositivecorrelationbetween car-diovascularriskandtheresultoftheFIMscale.
Ourstudyhadlimitations.Itwasacrosssectionalstudy and the number ofpatients was small.Itwas designedto detect a difference of28% prevalenceofintermediate/high cardiovascular risk amongpatientswith HAM/TSPand the controlgroup.Ifthedifferencebetweenthetwogroupswas smaller than this,we would need a bigger samplesize to detectthisdifference.Althoughouranalysisdidnotfindan important impact ofthe socio-demographic characteristics ontheresults,similarbaselinecharacteristicswouldprovide morereliableresults.Sincewedidnotevaluateasymptomatic HTLV-1patients, wecannottelliftheresultsfoundinthe studywereduetothemyelopathyortothevirusitself.
Conclusion
Inthisstudy,thecardiovascularriskprofileofpatientswith HAM/TSP followed in arehabilitation hospital inSalvador, Brazil was betterthan the riskprofileofthe controlgroup
ofhealthy individuals.Furtherstudiesare neededtobetter clarifythisissue.
Funding
SARAH Network of Rehabilitation Hospitals. The funding sourcehad noinvolvementduringthe researchand prepa-rationofthearticle.
Conflicts
of
interest
Theauthorsdeclarenoconflictsofinterest.
Acknowledgements
WethankGabrielaModestoforhelpingwiththeFIMscore col-lectingdataandAlfredoSilva forhelping withthestatistic review.SupportedbySARAHNetworkofRehabilitation Hospi-tals,
This article ispart ofFábio Prado’s MSc Thesis for the BahianaSchoolofMedicineandPublicHealthPostGraduate Course.
r
e
f
e
r
e
n
c
e
s
1. PoieszBJ,RuscettiFW,GazdarAF,BunnPA,MinnaJD,Gallo RC.DetectionandisolationoftypeCretrovirusparticlesfrom freshandculturedlymphocytesofapatientwithcutaneous T-celllymphoma.ProcNatlAcadSciUSA[Internet]. 1980;77:7415–9[cited2015Sep26].
2. deCastroVianaGM,NascimentoMdoDSB,deOliveiraRAS, DosSantosAC,deSouzaGalvãoC,daSilvaMACN.
SeroprevalenceofHTLV-1/2amongblooddonorsinthestate ofMaranhão,Brazil.RevBrasHematolHemoter[Internet]. 2014;36:50–3[cited2015Nov4].
3. MinistériodaSaúdedoBrasil.Guiademanejoclínicoda infecc¸ãopeloHTLV.SecrVigilânciaemSaúdeDepDST,Aidse HepatitesVirais[Internet];2013.
4. OsameM,UsukuK,IzumoS,etal.HTLV-Iassociated myelopathy,anewclinicalentity.Lancet(London,England) [Internet].1986;1:1031–2[cited2015Oct6].
5. PinheiroSR,Lana-PeixotoMA,ProiettiAB,Oréfice F,Lima-MartinsMV,ProiettiFA.HTLV-Iassociateduveitis, myelopathy,rheumatoidarthritisandSjögren’ssyndrome.Arq Neuropsiquiatr[Internet].1995;53:777–81[cited2015Oct6].
6. LaGrenadeL,HanchardB,FletcherV,CranstonB,BlattnerW. InfectivedermatitisofJamaicanchildren:amarkerforHTLV-I infection.Lancet(London,England)[Internet].
1990;336:1345–7[cited2015Oct6].
7. GessainA,BarinF,VernantJC,GoutO,MaursL,CalenderA, etal.AntibodiestohumanT-lymphotropicvirustype-Iin patientswithtropicalspasticparaparesis.Lancet(London, England)[Internet].1985;2:407–10[cited2015Oct6].Available from:http://www.ncbi.nlm.nih.gov/pubmed/2863442
8. NashMS,MendezAJ.Aguideline-drivenassessmentofneed forcardiovasculardiseaseriskinterventioninpersonswith chronicparaplegia.ArchPhysMedRehabil[Internet]. 2007;88:751–7[cited2015Oct6].Availablefrom:http://www. ncbi.nlm.nih.gov/pubmed/17532897
9. FrankelHL,CollJR,CharlifueSW,WhiteneckGG,GardnerBP, JamousMA,etal.Long-termsurvivalinspinalcordinjury:a fiftyyearinvestigation.SpinalCord[Internet].1998;36:266–74
[cited2015Oct6].Availablefrom:http://www.ncbi.nlm. nih.gov/pubmed/9589527
10.FinnieAK,BuchholzAC,MartinGinisKA.Currentcoronary heartdiseaseriskassessmenttoolsmayunderestimaterisk incommunity-dwellingpersonswithchronicspinalcord injury.SpinalCord[Internet].2008;46:608–15[cited2015Oct 6].Availablefrom:http://www.ncbi.nlm.nih.gov/pubmed/ 18332887
11.DeVivoMJ,KrauseJS,LammertseDP.Recenttrendsin mortalityandcausesofdeathamongpersonswithspinal cordinjury.ArchPhysMedRehabil[Internet].1999;80:1411–9 [cited2015Oct6].Availablefrom:http://www.ncbi.nlm.nih. gov/pubmed/10569435
12.FlankP,WahmanK,LeviR,FahlströmM.Prevalenceofrisk factorsforcardiovasculardiseasestratifiedbybodymass indexcategoriesinpatientswithwheelchair-dependent paraplegiaafterspinalcordinjury.JRehabilMed[Internet]. 2012;44:440–3[cited2015Oct6].Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/22549653
13.DemirelS,DemirelG,TukekT,ErkOYH.Riskfactorsfor coronaryheartdiseaseinpatientswithspinalcordinjuryin Turkey;2001.p.134–8.
14.WahmanK,NashMS,LewisJE,SeigerA,LeviR.
Cardiovasculardiseaseriskandtheneedforpreventionafter paraplegiadeterminedbyconventionalmultifactorialrisk models:theStockholmspinalcordinjurystudy.JRehabilMed [Internet].2011;43:237–42[cited2015Oct6].Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/21305240
15.LayeghP,ShoeibiA,NikkhahK,etal.CanHTLV-1infectionbe apotentialriskfactorforatherosclerosis?Intervirology [Internet].2014;57:365–8[cited2016Mar13].Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/25324038
16.StuverSO,TachibanaN,Okayamaa,MuellerNE.Evaluationof morbidityamonghumanTlymphotropicvirustype1carriers inMiyazaki,Japan.JInfectDis[Internet].1996;173:584–91. Availablefrom:http://www.ncbi.nlm.nih.gov/pubmed/ 8627021
17.FaridHosseniR,JabbariF,ShabestariM,etal.HumanT LymphotropicVirusTypeI(HTLV-I)isariskfactorfor coronaryarterydisease.IranJBasicMedSci[Internet]. 2013;16:217–20.Availablefrom:http://www.pubmedcentral. nih.gov/articlerender.fcgi?artid=3881252&tool=pmcentrez& rendertype=Abstract
18.FreibergMS,ChangC-CH,KullerLH,etal.HIVinfectionand theriskofacutemyocardialinfarction.JAMAInternMed [Internet].2013;173:614–22[cited2015May11].Available from:http://www.ncbi.nlm.nih.gov/pubmed/23459863
19.NetoMG,ZwirtesR,BritesC.Aliteraturereviewon cardiovascularriskinhumanimmunodeficiency virus-infectedpatients:implicationsforclinical management.BrazilianJInfectDis[Internet].2013;17: 691–700[cited2015Oct8].Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/23916459
20.RückerP,HornAHC,MeiselbachH,StichtH.Acomparative studyofHIV-1andHTLV-Iproteasestructureanddynamics revealsaconservedresidueinteractionnetwork.JMolModel [Internet].2011;17:2693–705[cited2015Oct29].Available from:http://www.ncbi.nlm.nih.gov/pubmed/21279524
21.DeCastro-CostaCM,AraújoAQC,BarretoMM,etal.Proposal fordiagnosticcriteriaoftropicalspastic
paraparesis/HTLV-I-associatedmyelopathy(TSP/HAM).AIDS ResHumRetroviruses[Internet].2006;22:931–5[cited2015Sep 14].Availablefrom:http://www.ncbi.nlm.nih.gov/pubmed/ 17067261
22.SirenR,ErikssonJG,VanhanenH.Waistcircumferenceagood indicatoroffutureriskfortype2diabetesandcardiovascular disease.BMCPublicHealth[Internet].2012;12:631[cited2015 Aug25].Availablefrom:http://www.pubmedcentral.nih.gov/
articlerender.fcgi?artid=3490795&tool=pmcentrez&rendertype =Abstract
23.ChobanianAV,BakrisGL,BlackHR,etal.Seventhreportof theJointNationalCommitteeonPrevention,Detection, Evaluation,andTreatmentofHighBloodPressure. Hypertension[Internet].2003Dec;42:1206–52[cited2014Jul 12].Availablefrom:http://www.ncbi.nlm.nih.gov/pubmed/ 14656957
24.ForceICGT.GlobalGuidelineforType2Diabetes:
recommendationsforstandard,comprehensive,andminimal care.DiabetMed[Internet].2006;23:579–93[cited2015Dec 10].Availablefrom:http://www.readcube.com/articles/ 10.1111%252Fj.1464-5491.2006.01918.x?r3referer=wol& trackingaction=previewclick&showcheckout=1&purchase
referrer=onlinelibrary.wiley.com&purchasesitelicense= LICENSEDENIED
25.RibertoM,MiyazakiMH,JucáSSH,SakamotoH,PotiguaraP. Validac¸ãodaVersãoBrasileiradaMedidadeIndependência FuncionalValidationoftheBrazilianversionofFunctional IndependenceMeasure.ActaFisiatr.2004;11:
3–7.
26.GoffDC,Lloyd-JonesDM,BennettG,etal.2013ACC/AHA guidelineontheassessmentofcardiovascularrisk:areport oftheAmericanCollegeofCardiology/AmericanHeart AssociationTaskForceonPracticeGuidelines.JAmColl Cardiol[Internet].2014;6325PtB:2935–59[cited2014Dec9]. Availablefrom:http://www.ncbi.nlm.nih.gov/pubmed/ 24239921
27.DawberTR,MeadorsGF,MooreFE.Epidemiological approachestoheartdisease:theFraminghamStudy.AmJ PublicHealthNationsHealth[Internet].1951;41:279–81[cited 2015Oct9].Availablefrom:http://www.pubmedcentral.nih. gov/articlerender.fcgi?artid=1525365&tool=pmcentrez& rendertype=Abstract
28.D’AgostinoRB,VasanRS,PencinaMJ,etal.General cardiovascularriskprofileforuseinprimarycare:the FraminghamHeartStudy.Circulation[Internet]. 2008;117:743–53[cited2014Jul12].Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/18212285
29.ConroyRM,PyöräläK,FitzgeraldAP,etal.Estimationof ten-yearriskoffatalcardiovasculardiseaseinEurope:the SCOREproject.EurHeartJ[Internet].2003;24:987–1003[cited 2015Sep9].Availablefrom:http://www.ncbi.nlm.nih.gov/ pubmed/12788299
30.GreenlandP,AlpertJS,BellerGA,etal.2010ACCF/AHA guidelineforassessmentofcardiovascularriskin asymptomaticadults:areportoftheAmericanCollegeof CardiologyFoundation/AmericanHeartAssociationTask ForceonPracticeGuidelines.JAmCollCardiol[Internet]. 2010;56:e50–103[cited2015Mar30].Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/21144964
31.RidkerPM,RifaiN,StampferMJ,HennekensCH.Plasma concentrationofinterleukin-6andtheriskoffuture myocardialinfarctionamongapparentlyhealthymen. Circulation[Internet].2000;101:1767–72[cited2015Oct9]. Availablefrom:http://www.ncbi.nlm.nih.gov/pubmed/ 10769275
32.GalvãoNI,JunqueiraVRDFJT,OrlandiBMM,FerrazRF, CostaFAAD,FagundesDJ.Determinac¸ãodoRisco CardiovascularemPopulac¸ãodeCheck-upEspontâneo atravésdoEscoredeFramingham.RevBrasCardiol. 2013;26:356–63.
33.DoriaGMdeA.Estudodeateroscleroseefatoresderiscoem pacientesportadoresdeHTLV-1.EscolaBahianadeMedicina eSau´ıde;2014.
34.OhishiK,NagasatoK,AoiW,etal.Circadianrhythmsofblood pressureandheartrateinpatientswithhuman
T-lymphotropicvirustype-I-associatedmyelopathy.TohokuJ ExpMed[Internet].1993;169:67–75[cited2015Nov13]. Availablefrom:http://www.ncbi.nlm.nih.gov/pubmed/ 8211971
35.RibeiroALP,DuncanBB,BrantLCC,LotufoPA,MillJG,Barreto SM.CardiovascularHealthinBrazil.Circulation.2016;133.
36.LugerM,LugerE,HöflerJ,etal.WorksitePrevalenceof (un)DiagnosedCardiovascularRiskFactorsFroma Health-Check-PrograminAnAustrianCompany.JOccup EnvironMed[Internet].2015;57:1353–9[cited2016Dec17]. Availablefrom:http://content.wkhealth.com/linkback/ openurl?sid=WKPTLP:landingpage&an=00043764-201512000-00017
37.KaplanGA,KeilJE.Socioeconomicfactorsandcardiovascular disease:areviewoftheliterature.Circulation[Internet]. 1993;884Pt1:1973–98[cited2015Oct7].Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/8403348
38.PitsavosCE,PanagiotakosDB,ChrysohoouCA,SkoumasJ, StefanadisC,ToutouzasPK.Educationandacutecoronary syndromes:resultsfromtheCARDIO2000epidemiological study.BullWorldHealthOrgan[Internet].2002;80:371–7[cited 2015Oct13].Availablefrom:http://www.pubmedcentral. nih.gov/articlerender.fcgi?artid=2567786&tool=pmcentrez &rendertype=Abstract
39.KastoriniC-M,MilionisHJ,GeorgousopoulouE,etal.Defining thepathbetweensocialandeconomicfactors,clinicaland lifestyledeterminants,andcardiovasculardisease.GlobHeart [Internet].2015Aug7[cited2015Oct1];Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/26260581
40.YamamuraM,YamadaY,MomitaS,KamihiraS,TomonagaM. Circulatinginterleukin-6levelsareelevatedinadultT-cell leukaemia/lymphomapatientsandcorrelatewithadverse clinicalfeaturesandsurvival.BrJHaematol[Internet]. 1998;100:129–34.Availablefrom:http://onlinelibrary.wiley. com/store/10.1046/j.1365-2141.1998.00538.x/asset/j.1365-2141. 1998.00538.x.pdf;jsessionid=66633252773BE616E084E6AA6FB 6A9BA.f03t03?v=1&t=iao4buij&s=413030d99eb9124350948fed 084a76286e0a8ea2
41.BirmannBM,BreenEC,StuverS,etal.Populationdifferences inimmunemarkerprofilesassociatedwithhuman
T-lymphotropicvirustypeIinfectioninJapanandJamaica. IntJCancer.2009;124:614–21.
42.AndroulakisE,TousoulisD,PapageorgiouN,etal. Inflammationinhypertension:currenttherapeutic
approaches.CurrPharmDes[Internet].2011;17:4121–31[cited 2015Nov20].Availablefrom:http://www.ncbi.nlm.nih.gov/ pubmed/22204373
43.BrooksGC,BlahaMJ,BlumenthalRS.RelationofC-reactive proteintoabdominaladiposity.AmJCardiol[Internet]. 2010;106:56–61[cited2015Oct24].Availablefrom:
http://www.ncbi.nlm.nih.gov/pubmed/20609648
44.BiswasA,OhPI,FaulknerGE,etal.Sedentarytimeandits associationwithriskfordiseaseincidence,mortality,and hospitalizationinadults.AnnInternMed[Internet]. 2015;162:123[cited2015Jan20].Availablefrom: