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RESEARCHARTICLE Transfusion-transmissible viral infections among blood donors at the North Gondar district blood bank, northwest Ethiopia: A three year retrospective study BeleteBiadgo1☯,EliasShiferaw2,BerhanuWoldu2,KefyalewAddisAlene3, MulugetaMelku2☯* a1111111111 1 DepartmentofClinicalChemistry,SchoolofBiomedicalandLaboratorySciences,CollegeofMedicineand a1111111111 HealthSciences,UniversityofGondar,Gondar,Ethiopia,2 DepartmentofHematologyandImmunohematology, SchoolofBiomedicalandLaboratorySciences,CollegeofMedicineandHealthSciences,UniversityofGondar, a1111111111 Gondar,Ethiopia,3 DepartmentofEpidemiologyandBiostatistics,InstituteofpublicHealth,CollegeofMedicine a1111111111 andHealthSciences,UniversityofGondar,Gondar,Ethiopia a1111111111 ☯Theseauthorscontributedequallytothiswork. *[email protected] OPENACCESS Abstract Citation:BiadgoB,ShiferawE,WolduB,AleneKA, MelkuM(2017)Transfusion-transmissibleviral infectionsamongblooddonorsattheNorth Background Gondardistrictbloodbank,northwestEthiopia:A Transfusion-transmissibleviralinfections,suchashepatitisCvirus(HCV),hepatitisBvirus threeyearretrospectivestudy.PLoSONE12(7): e0180416.https://doi.org/10.1371/journal. (HBV),andhumanimmunodeficiencyvirus(HIV),remainamajorpublichealthproblemin pone.0180416 developingcountries.Theprevalenceoftheseviralinfectionsamongblooddonorsmay Editor:JasonBlackard,UniversityofCincinnati reflecttheburdenofthesediseasesamongpopulations.Therefore,theaimofthisstudy CollegeofMedicine,UNITEDSTATES wastoassessthesero-prevalenceoftransfusion-transmissibleviralinfectionsamongblood Received:October26,2016 donors. Accepted:May22,2017 Methods Published:July5,2017 Aretrospectivestudywasconductedusingdataobtainedfromregistrationbooksofblood Copyright:©2017Biadgoetal.Thisisanopen donorsfromtheEthiopianNorthGondarDistrictBloodBankfrom2010to2012.Descriptive accessarticledistributedunderthetermsofthe CreativeCommonsAttributionLicense,which statistics,suchaspercentages,mediansandinterquartilerangeswerecomputed.Abinary permitsunrestricteduse,distribution,and logisticregressionmodelwasfittedtoidentifyfactorsassociatedwitheachviralinfection. reproductioninanymedium,providedtheoriginal Theoddsratiowitha99%confidenceintervalwascalculated.Ap-value<0.01wasconsid- authorandsourcearecredited. eredstatisticallysignificant. DataAvailabilityStatement:Allrelevantdataare withinthepaperanditsSupportingInformation Result files. Atotalof6,471blooddonorswereincludedinthestudy.Ofthese,5,311(82.1%)were Funding:Theauthorsreceivednospecificfunding forthiswork. male,and382(5.9%)werevoluntaryblooddonors.Overall,424(6.55%)oftheblood donorsweresero-reactiveforatleastonetransfusion-transmissibleviralinfection.Ofall Competinginterests:Theauthorshavedeclared thatnocompetinginterestsexist. studyparticipants,233(3.6%)weresero-reactiveforHBV,145(2.24%)weresero-reactive forHIV,and51(0.8%)weresero-reactiveforHCV.Four(0.062%)ofthestudy’sparticipants Abbreviations:ELISA,EnzymeLinked ImmunosorbentAssay;HBV,HepatitisBVirus; wereco-infected:3(75%)withHBV-HCVand1(25%)withHIV-HBV-HCV.Beingafarmer, PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 1/12 Transfusion-transmissibleviralinfectionsamongblooddonors HBsAg,HepatitisBSurfaceAntigen;HCV,Hepatitis unemployedoremployeddonorwassignificantlyassociatedwithtransfusion-transmissible CVirus;HIV,HumanImmunodeficiencyVirus;TTI, viralinfectionscomparedtobeingastudentdonor. Transfusiontransmittedinfection;WHO,World HealthOrganization. Conclusion Theprevalenceoftransfusion-transmissibleviralinfectionsissubstantialandhas increasedovertime.Hence,itdemandsmorevigilanceinroutinescreeningofdonated bloodpriortotransfusion.Furthercommunity-basedstudiestoidentifysocietalriskfac- torsarenecessary. Introduction Bloodtransfusionsavesmillionsoflivesworldwideeachyear[1].However,transfusion-trans- missibleinfections(TTIs)areamajorproblemassociatedwithbloodtransfusion,particularly indevelopingcountries[1].Themagnitudeofthisproblemisdirectlyrelatedtotheprevalence ofTTIsamongblooddonors[2].Inseveralsettings,humanimmunodeficiencyvirus(HIV), hepatitisBvirus(HBV),andhepatitisCvirus(HCV)arethemajorTTIs[3–5].Eachblood transfusioncarriesariskoftransmittingblood-bornepathogens[6].Forinstance,insub-Saha- ranAfrica,5–12%ofpatientswhoreceivedbloodtransfusionsareatriskofpost-transfusion hepatitisandHIVinfections[7].Forthisreason,thepreventionandcontrolofTTIsisthe leadingconcernandpriorityoftheWorldHealthOrganization(WHO)andbloodtransfusion programsinSub-SaharanAfricancountries,includingEthiopia[8]. TTIscanposerisksforhealthcareworkers.Becausetheprevalenceoftransfusion-transmis- siblepathogensishighinthegeneralpopulation,theoccupationalriskofexposuretothese pathogensforhealthcareworkersposesamajorpublichealthchallenge.AccordingtoWHO estimates,3millionhealthcareworkersexperiencepercutaneousexposurestobloodpathogens worldwideeachyear.Ofthese,2millionareexposedtoHBV[9].AstudyconductedinBulle Hora,Ethiopia,showedthatHBVwashigheramonghealthcareworkers(7.3%)thannon- healthcareworkers(0.9%)[10]. TheprevalenceofTTIsamongblooddonorsvariesacrosstheworld,aswellaswithincoun- tries,contingentontheprevalenceofthesevirusesinthegeneralpopulation[11,12].Accord- ingtoaWHOreport,Ethiopiaisclassifiedundergeographicalregionswithintermediateto hyper-endemicviralhepatitisinfections[13].Theprevalenceofviralhepatitisvarieswithin districtsandtargetgroupsinEthiopia[14–23].TheoverallpooledprevalenceofHBVwas 7.4%.Insub-groups,theprevalencevariedat5.2%inHIVinfectedindividuals,8.0%incom- munitybasedstudies,8.4%inblooddonors,11.0%inimmigrants,and6.9%inothergroups [24].Similarly,theprevalenceofHCVandHIViscommoninEthiopiawithregionaldiffer- ences.AstudyconductedamongclinicallysuspectedcasesinGondarindicatedahighpreva- lenceofHCVat12.4%[14]. SeveralprogramshavebeenimplantedinEthiopiatoreducetheburdenofHBVinthe community.Theseprogramsincludethefollowing:theExpandedProgrammeonImmuniza- tionPolicy,updatedin2007andincludingchildhoodimmunizationagainstHBVusingapen- tavalentformatages6,10and14weeksafterbirth;implementingantenatalscreeningfor HBsAgofallpregnantwomenandthevaccinationoftheirbabiesatbirth;andrecommending thevaccinationofhighriskgroupssuchashealthprofessionalsagainstHBV.However,these programshavenotbeenroutinelyenforcedinmosthealthcaresettingsacrossthecountry[25]. AstudyconductedamonghealthcareworkersinBahirDar,northwestEthiopia,reportedthat PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 2/12 Transfusion-transmissibleviralinfectionsamongblooddonors HBVvaccinationstatuswaslow.Only5.4%reportedthattheytookthreeormoredosesofthe HBVvaccine[26].Similarly,anotherstudyrevealedthatthestatusoftheHBVvaccination amongsurgeonspracticinginEthiopiawaslow,withonly24outof98surgeons(23.5%)hav- ingreceivedthevaccination[27]. Quality-guaranteedscreeningofalldonatedbloodforTTIs,includingHIV,HBV,and HCV,isrecommendedbytheWHOandadoptedbytheEthiopiangovernmentfortheprovi- sionofsafeandefficaciousbloodandbloodcomponents[28].Thisincludestheselectionof eligibleblooddonors,thecollectionofblood,theprocessingandtestingofthedonatedblood, theissuingofcompatibleblood,andsafeadministrationofthebloodtorecipients.Inresponse tothisstrategy,EthiopiarevokedresponsibilitiesforbloodtransfusionfromtheEthiopianRed CrossSocietyandgrantedittotheNationalBloodTransfusionServiceAgency,agovernment agencymanagedundertheFederalMinistryofHealthandRegionalHealthbureaucreatedin 2010toensurebloodsafetyandaccessibility[29].Twenty-fivebloodbankswerefunctionalin thecountryin2014.TheNorthGondarDistrictBloodBankisoneofthebloodbankslocated innorthwestEthiopia[29]. MonitoringtimetrendsinTTIsamongblooddonorsprovidesevidencetoassesstheeffec- tivenessofbloodsupplyscreeningprograms,andmayindicatechangesindiseaseprevalence incommunities.TherearefewepidemiologicalstudiesconductedinEthiopiaonTTIsamong blooddonors[16–18,20,21].However,dataarelimitedbetween2010and2012innorthwest Ethiopiafortheanalysisoftrends.Therefore,theaimofthisstudywastoassessthesero-preva- lenceofHBV,HCV,andHIVamongblooddonorsattheNorthGondarDistrictBloodBank, northwestEthiopia,between2010and2012. Materialsandmethods Studydesignandsetting AretrospectivecohortstudywasconductedattheNorthGondarDistrictBloodBankamong blooddonorswhodonatedbloodfrom2010to2012.TheBloodBankisinGondartown, located738kmnorthwestofthecapitalcity,AddisAbaba.Itprovidesservicesforacatchment populationofapproximatelyfivemillionpeopleinNorthGondarandneighboringdistricts. Onaverage,thebloodbankcollects2,500unitsannually.Themajorityofthisbloodisusedfor emergency,surgical,andgynecologicalcases. Studypopulation StudyparticipantswereallblooddonorswhodonatedbloodattheNorthGondarDistrict BloodBankfrom2010to2012.Theyconsistedofvoluntaryandreplacement(family)blood donorswhoweighedmorethan50kgandwereolderthan17yearsofage.Atotalof6,471 blooddonorrecordswerereviewedandincludedinthestudy. Serologicalinvestigations SerumorplasmasamplesweretestedforHBV,HIVandHCVusingtheEnzymeLinked ImmunosorbentAssay(ELISA)(HIV1/2:VironostikaHIVUni-FormIIAg/Abfourthgenera- tionELISA,Bio-Merieux,Boxtel,Netherlands;HBsAg:athirdgenerationELISA,Hepanostika HBsAgUNi-FormII,Bio-Merieux,Boxtel,Netherlands;HCV:Humananti-HCVthirdgener- ationELISA,HumanGasellschaftforBio-chemicalanddiagnosticMbH,Germany).Alltests wereperformedaccordingtothemanufacturer’sinstructions. PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 3/12 Transfusion-transmissibleviralinfectionsamongblooddonors Datacollectionandstatisticalanalysis Dataonsocio-demographicvariablesandlaboratorytestresultswerecollectedfromblood donors’registrationbooksusingthedataextractionformat.Collecteddatawerethencross- checkedforcompleteness,enteredintoEpiInfosoftware(version3.5.1),andthentransferred toSPSSversion20softwareforanalysis.Descriptivestatisticswereperformed,andtheresults werepresentedintables.Bothbivariateandmultivariablebinarylogisticregressionmodels werefittedtoidentifyfactorsassociatedwitheachviralinfection.Theoddsratioandits99% confidenceintervalwereusedtodeterminethestrengthoftheassociation.Ap-value<0.01in themultivariablebinarylogisticregressionanalysiswasconsideredtobestatisticallysignificant. Ethicalconsiderations ThestudywasconductedafterethicalclearancewasobtainedfromtheSchoolofBiomedical andLaboratorySciences,CollegeofMedicineandHealthSciences,theUniversityofGondar. PermissionwasalsoobtainedfromtheheadofNorthGondarDistrictBloodBank.Datawere keptinaconfidentialmanner.Asthestudyusedsecondarydata,informedconsentwasnot soughtfromstudyparticipants. Results Demographiccharacteristics Atotalof6,471individualsdonatedbloodandwerescreenedforviralinfectionsduringthe threeyearperiodattheGondarDistrictBloodBank.Approximately5,311(82.1%)and3,070 (47.4%)oftheblooddonorsweremalesandaged18–25years,respectively.Themedianageof theparticipantswas26years(range:48years).Almostallofthe6,089(94.1%)blooddonations wereobtainedfromareplacementdonation(Table1). Transfusion-transmissibleviralinfectionprevalence Overall,424(6.55%;99%CI:5.76%,7.34%)blooddonorshadserologicalevidenceforatleast oneTTI(i.e.,HBV,HCV,orHIV).Four(0.062%)blooddonorswereco-infectedwithmore Table1. DemographiccharacteristicsofblooddonorsattheNorthGondarDistrictBloodBank,northwestEthiopia,2010to2012. Variables Categories Frequency Percent Age(years) 18–25 3,070 47.4 26–35 2,191 33.9 36–45 846 13.1 >45 364 5.6 Sex Male 5,311 82.1 Female 1,160 17.9 Occupation Student 1,842 28.5 Farmer 1,728 26.7 Governmentemployed 947 14.6 Privateemployed 296 4.6 Self-employed 1,068 16.5 Unemployed 590 9.1 Typeofdonation Voluntary 382 5.9 Replacement 6,089 94.1 https://doi.org/10.1371/journal.pone.0180416.t001 PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 4/12 Transfusion-transmissibleviralinfectionsamongblooddonors Table2. FrequencyofHIV,HBVandHCVinfectionswithrespecttodonationyearamongblooddonorsattheNorthGondardistrictBloodBank, northwestEthiopia. Yearof Totalscreened HBVpositive HCVpositive HIVpositive Totalsero-prevalence(HBV,HCV,orHIV)N(%) donation N(%) N(%) N(%) N(%) 2010 2,006(31.0%) 57(2.8%) 12(0.6%) 36(1.8%) 100(5.0%) 2011 2,171(33.5%) 55(2.5%) 10(0.5%) 46(2.1%) 111(5.11%) 2012 2,294(35.4%) 121(5.3%) 29(1.3%) 63(2.7%) 213(9.28%) Total 6,471(100%) 233(3.6%) 51(0.8%) 145(2.24%) 424(6.55%) https://doi.org/10.1371/journal.pone.0180416.t002 thanoneviralinfection:3(75%)withHBV-HCVand1(25%)withHIV-HBV-HCVinfections. Thenumberofdonorsgraduallyincreasedfrom2,006(31.0%)in2010to2,294(35.4%)in 2012.TheoverallprevalenceofTTIsalsoincreasedfrom100(5.0%)in2010to213(9.28%)in 2012(Table2). Sero-prevalenceandassociatedfactorsofHBVinfection Theoverallsero-prevalenceofHBVwas233(3.6%;99%CI:3.0%,4.2%)andwas4.14%among malesand3.48%amongfemales.Inthemultivariablebinarylogisticregressionanalysis, farmer(AOR=2.20;99%CI:1.25,3.89),employed(AOR=2.48;99%CI:1.46,4.23),and unemployed(AOR=4.00;99%CI:2.15,7.46)donorswereatahigherriskofHBVinfection comparedtostudentdonors.Inaddition,theoddsofHBVamongpeoplewhodonatedblood in2012werealmosttwotimesaslikelyofhavingHBVamongpeoplewhodonatedbloodin 2010(AOR=1.84;99%CI:1.20,2.80)(Table3). Table3. Sero-prevalenceofHBVinfectionaccordingtosocio-demographiccharacteristicsofblooddonorsattheNorthGondarDistrictBlood Bank,northwestEthiopia. Variables HBV COR(99%CI) AOR(99%CI) Reactive Non-reactive Agegroup 18–25 103 2,967 1.00 26–35 75 2,116 1.02(0.69,1.52) 36–45 37 809 1.32(0.8,2.2) >45 18 346 1.49(0.76,2.2) Sex Male 185 5,126 1.00 Female 48 1,112 1.2(0.78,1.8) Occupation Student 32 1,810 1.00 1.00 Farmer 63 1,665 2.14(1.24,3.77) 2.20(1.25,3.89) Employed* 97 2,214 2.49(1.45,4.21) 2.48(1.46,4.23) Unemployed 41 549 4.22(2.3,7.9) 4.00(2.15,7.46) Typeofdonation Voluntary 5 377 1.00 Replacement 228 5,861 2.93(0.91,9.74) Yearofdonation 2010 57 1,949 1.00 1.00 2011 55 2,116 0.89(0.54,1.45) 0.87(0.53,1.43) 2012 121 2,173 1.90(1.23,2.90) 1.84(1.20,2.80) COR:CrudeOddsRatio;AOR:AdjustedOddsRatio;CI:ConfidenceInterval;and *Employed:governmentemployed,privateemployedandself-employed https://doi.org/10.1371/journal.pone.0180416.t003 PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 5/12 Transfusion-transmissibleviralinfectionsamongblooddonors Table4. Sero-prevalenceofHCVinfectionaccordingtosocio-demographiccharacteristicsofblooddonorsattheNorthGondarDistrictBlood Bank,northwestEthiopia. Variables HCV COR(99%CI) AOR(99%CI) Reactive Non-reactive Agegroup 18–25 16 3,054 1.00 26–35 22 2,169 1.94(0.83,4.53) 36–45 6 840 1.4(0.40,4.70) >45 7 357 3.74(1.15,12.13) Sex Male 44 5,267 1.00 Female 7 1,153 0.73(0.25,2.08) Occupation Student 5 1,837 1.00 1.00 Farmer 14 1,714 3.00(0.78,11.51) 3.12(0.81,12.00) Employed* 27 2,284 4.34(1.23,15.26) 4.35(1.23,15.23) Unemployed 5 585 3.13(0.61,16.08) 2.91(0.56,14.95) Yearofdonation 2010 12 1,994 1.00 1.00 2011 10 2,161 0.76(.025,2.32) 0.74(0.86,5.08) 2012 29 2,265 2.13(0.87,5.17) 2.09(1.85,5.09) COR:CrudeOddsRatio;AOR:AdjustedOddsRatio;CI:ConfidenceInterval;and *Employed:governmentemployed,privateemployedandself-employed Typeofdonationwasnotincludedinthemodelbecauseithaszerovaluesinoneofthecell. https://doi.org/10.1371/journal.pone.0180416.t004 Sero-prevalenceandassociatedfactorsofHCVinfection Thesero-prevalenceofHCVinfectionamongblooddonorswas51(0.80%;99%CI:0.5%, 1.1%).Inthebivariatebinarylogisticregressionanalysis,beingablooddonorolderthan45 yearsin2012andemployedwassignificantlyassociatedwithHCVinfection.However,inthe multivariableanalysis,beingemployedandablooddonorin2012weretheonlysignificant factorsassociatedwithHCVinfection.TheoddsofHCVamongthosewhodonatedbloodin 2012weretwotimeshigherthanamongthosewhodonatedbloodin2010(AOR=2.09;99% CI:1.85,5.09).Similarly,theoddsofHCVamongpeoplewhowereemployeddonorswere almostfourtimeshigherthanamongstudentdonors(AOR=4.35;99%CI:1.23,15.23) (Table4). Sero-prevalenceandassociatedfactorsofHIVinfection TheHIVprevalenceamongblooddonorswas145(2.24%;99%CI:1.8%,2.7%).HIVsero-prev- alencewas2.3%inmalesand0.71%infemales.Theage-specificdistributionofHIVinfection revealedthatahighprevalencewasdetectedamongblooddonorswhowereolderthan45years at14(3.9%).Inthebivariatebinarylogisticregressionanalysis,age,occupation,andyearof blooddonationweresignificantlyassociatedwithHIVinfection.However,inthemultivariable analysis,onlyoccupationwassignificantlyassociatedHIVinfections.Farmers(AOR=4.02; 95%CI:1.79,9.03),employed(AOR=3.75;99%CI:1.70,8.28),andunemployed(AOR=5.97; 99%CI:2.43,14.61)donorsweremorelikelytobeinfectedwithHIVthanstudentdonors (Table5). PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 6/12 Transfusion-transmissibleviralinfectionsamongblooddonors Table5. Sero-prevalenceofHIVinfectionaccordingtosocio-demographiccharacteristicsofblooddonorsattheNorthGondarDistrictBlood Bank,northwestEthiopia. Variables HIV COR(99%CI) AOR(99%CI) Positive Negative Agegroup 18–25 46 3,024 1.00 26–35 58 2,133 1.79(1.07–3.00) 36–45 27 819 2.17(1.2–4.10) >45 14 350 2.63(1.18–5.85) Sex Male 123 5,188 1.00 Female 22 1,138 0.82(0.45–1.50) Occupation Student 13 1,829 1.00 1.00 Farmer 48 1,680 4.02(1.79,9.03) 4.02(1.79,9.03) Employed* 60 2,251 3.75(1.67,8.28) 3.75(1.70,8.28) Unemployed 24 566 5.96(2.44,14.61) 5.97(2.43,14.61) Typeofdonation Voluntary 4 378 1.00 Replacement 141 5,948 2.24(0.6–8.33) Yearofdonation 2010 36 1,970 1.00 2011 46 2,125 1.18(0.66,2.11) 2012 63 2,231 1.55(1.89,2.66) COR:CrudeOddsRatio;AOR:AdjustedOddsRatio;CI:ConfidenceInterval;and *Employed:governmentemployed,privateemployedandself-employed https://doi.org/10.1371/journal.pone.0180416.t005 Discussion Bloodtransfusionisconsideredtobeapotentialriskfactorforthetransmissionofviruses suchasHBV,HCVandHIV,whicharelife-threateningandglobalpublichealthproblems.In thisstudy,wefoundthattheoverallsero-prevalenceofTTIswas6.55%(99%CI:5.76–7.34%), whichisinagreementwithapreviousreportfromHawassa,Ethiopia(7.0%)[16].However, thisprevalenceislowerthanotherstudiesconductedindifferentpartofEthiopia,suchas Gondar(9.5%)[15],BahirDar(43.2%)[18],WolaitaSodo(29.5%)[17],andJijiga(11.5%) [21].TheprevalencereportedinthisstudywasalsolowercomparedtootherAfricancountries thatreportedanoverallprevalenceofviralinfectionrangingfrom9.5%to21.2%[30–32].This maybebecauseourstudyfocusedonlyonthreeviralinfections(i.e.,HIV,HBV,andHCV), whereaspreviousstudiesincludedtheseviralinfectionsinadditiontosyphilis.Anotherpossi- blereasonforthislowprevalenceofTTIsinourstudycouldbeduetodifferencesintime periodbecauseourstudyuseddatacollectedin2010to2012.Thisisrelativelyrecentwhen comparedtodatausedbythemajorityoftheabovestudies[15,18,30,31]. Ourstudyrevealedthatthesero-prevalenceofTTIsincreasedfrom5.0%in2010to9.28% in2012.AlthoughitdoesnotdemonstratethetrendofTTIsinthestudyarea,asitisathree yearretrospectivedataset,itmaysuggestthateithertheoverallprevalenceofTTIsisincreased inthecommunityovertimeorthesensitivityofthetestmethodsusedtoscreendonatedblood areimprovedasaresultofchangesinpoliciesandstrategiesthatgovernmentshaveenforced tocontrolTTIs.AnotherreasonforthismightberelatedtotheshiftofdutyfromtheRed CrossSocietytotheNationalBloodTransfusionServiceAgencyin2010[29].After2010,the PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 7/12 Transfusion-transmissibleviralinfectionsamongblooddonors NationalBloodTransfusionServiceAgencydevelopednationalbloodpolicy,standards,oper- atingprocedures,andguidelinestoensurethesafetyandaccessibilityofblood.Thisinvolved advocatingtheimportanceofblooddonation,recruitingblooddonorsviacampaigns,andrig- oroustestingofdonatedbloodforTTIs.Thiscreatestheopportunitytorecruitmoreblood donorswhohaveriskybehaviorforTTIs,whichultimatelyincreasesthemagnitudeofthe problem.Insupportofthisargument,ourstudyrevealedthattheoddsofHBVandHCV infectionsamongpeoplewhodonatedbloodin2012werealmosttwotimeshighercompared topeoplewhodonatedbloodin2010. Inourstudy,thesero-prevalenceofHBVamongblooddonorswas3.6%(99%CI:3.0%, 4.2%),whichislowercomparedtopreviousstudiesconductedinEthiopia[15,16,18–21,33] andelsewhereintheworld[30,34–37].Thislowerprevalencemightbeattributedtodiffer- encesinthespecificityandsensitivityofthescreeningtest.ThebloodbankintheGondardis- trictusesaconventionalHBSAgtest(i.e.,thethirdgenerationELISAtest)forthescreeningof HBV.TheconventionaldonorscreeningforHBsAgmayyieldserologicallynegativeresults despitethepresenceofHBVDNA[38].Studieshaveshownthat20%ofoccultHBVinfections arenegativeforallHBVseromarkers[39].Therefore,ifmoleculartechniqueshadbeenused forthescreening,themagnitudemostlikelywouldhavebeenmorethanthecurrentfinding. Theotherexplanationmightbeadifferenceinthegeographicalvariationsthathavebeen reportedintheoccurrenceofviralinfections,aswellasadifferenceinthemodeofprospective donorselectionandstudypopulations.However,whencomparedwiththeglobalprevalence ofchronicHBVinfectioncategory,itiswithintherangeofintermediateclusters(2–7%)[40], indicatingthatHBViscommoninthestudyarea. TheprevalenceofHCVinfectioninthisstudywas0.8%(99%CI:0.5%,1.1%).Comparable figureswerereportedinGondar,Ethiopia(0.7%)[15],Hawassa,Ethiopia(0.6%)[16],and Dessie,Ethiopia(0.61%)[33].However,ahigherprevalencewasobservedinpreviousstudies carriedoutinEthiopia[18–20]andelsewhereintheworld[30,37,41–44].Ontheotherhand, alowerprevalencewasobservedinpreviousstudiesdoneinJijiga,Ethiopia(0.4%)[21].The possibleexplanationforthevariationinthemagnitudeofHCVinfectionsacrossstudiesmight beduetodifferencesinriskbehaviorsacrossdifferentgeographicallocationsanddifferences insocio-culturalpractices.Culturalpracticessuchastattooingandsharingofcontaminated materials,suchasneedlesarecommonamonguneducatedpeople[45].Thesepracticescould increasetheriskofbeinginfectedwithHCV.Employeddonorswerefourtimesmorelikelyto beinfectedwithHCVwhencomparedtostudentdonors.Thismightberelatedtooccupa- tionalinjuries,suchasneedlesticksinhealthcaresettings[46,47]. RegardingtheprevalenceofHIVinfection,ourstudydemonstratedthat2.24%(99%CI: 1.8%,2.7%)ofblooddonorsweresero-reactive,whichissimilartotheresultobtainedfrom theEthiopianDemographicandHealthSurveyReport[48].ThehighestprevalenceofHIV infection(4.1%)wasobservedindonorswhowereunemployed.Similarresultshavebeen reportedinpreviousstudies[15,49,50].Thismightbeduetolowsocio-economiclevelsof unemployeddonors,astheyaremostlikelytoindulgeinriskysexualrelationshipsthatmay exposethemtoTTIs.EmployeddonorswerealsoathigherriskofHIV-infectioncomparedto studentdonors.ThereasonforhighprevalenceofTTIsamongemployeddonorsascompared tostudentdonorsmightberelatedtoincreasedexposuretoTTIs,mostlikelyduetothepossi- bilityofengaginginmoreriskybehaviorsovertimeandthetransfusionofunsafebloodand/ orbloodproductsintheirlifetime.Similarly,farmerswerealsoathigherriskofhavingHIV infectionthanstudents.Thismightberelatedwiththelowerawarenessoffarmersaboutthe modeoftransmissionandpreventionofHIV.PreviousstudiesconductedinEthiopiashowed thatfarmershadpoorknowledgeaboutHIVpreventionmethods,whichmayleadtounpro- tectedsexualpractices[51]. PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 8/12 Transfusion-transmissibleviralinfectionsamongblooddonors TheoverallprevalenceofHIV,HBVandHCVco-infectioninourstudywas4(0.062%). DifferentstudiesconductedinEthiopiaalsoreportthattheco-infectionrateoftheseTTIs rangefrom0.19to4.8%[15,16,32].Themostcommonco-infectionwasHBV-HCV(75%). ComparableresultswereobservedinHawassa,Ethiopia(66.7%)[16],andGhana(45.5%) [37].Theoccurrenceofco-infectionscouldbebecausetheseinfectionssharesimilarmodesof transmission[34]. ThehighestprevalencesofHBV(7.0%)andHIV(4.1%)wereobservedinthosedonors whowereunemployed.Thisissupportedbyfindingsfromotherstudies[15,49,50].Similarly, unemployeddonorswerefourtimesmorelikelytobeinfectedwithHBVandsixtimesmore likelytobeinfectedwithHIVthanstudentdonors.Thismightbeduetolowsocio-economic levelsofunemployeddonors,astheyaremostlikelytoindulgeinriskysexualrelationships thatmayexposethemtoTTIs.Moreover,asaconsequenceofeconomicproblems,unem- ployeddonorsmayexperienceriskypractices,suchassharingofpersonalcareitemslike razorsortoothbrushes,sharingofsharpkitchenmaterials,andhavingsexualcontactwitha personinfectedwithTTIs.Furthermore,farmerdonorsweretwotimesmorelikelytobe infectedwithHBVandfourtimesmorelikelytobeinfectedbyHIVcomparedtostudent donors.Thismightbeduetoriskyculturalpracticessuchastattooingandsharingofsharp materials,whicharecommoninuneducatedpeople,includingfarmers[45].Suchpractices couldincreasetheriskofinfectionwithtransfusion-transmissiblepathogens. Thelimitationofthisstudyisrelatedtotheretrospectivenatureofitsdesigninthatitdid notincludeallriskfactorsassociatedwithTTIs.Withthislimitation,thestudyattemptedto demonstratethesero-prevalenceofthemajorTTIsamongblooddonorsintheNorthGondar District. Conclusion TheprevalenceofTTIsissubstantialandhasincreasedovertime.Beingafarmer,unemployed andemployedwerefoundtobesignificantlyassociatedwithTTIs.Hence,morevigilancein routinescreeningofdonatedbloodpriortotransfusionisneeded.Furthercommunity-based studiestoidentifysocietalriskfactorsforblood-bornepathogensarenecessary. Supportinginformation S1Dataset.“S1Datasetusedforanalysis”includessocio-demographiccharacteristics, transfusion-transmissibleviralinfections,donortypeandyearofdonation(.sav). (SAV) Acknowledgments WewouldliketothanktheHeadandstaffmembersoftheNorthGondarDistrictBloodBank whohelpedusduringdatacollection. AuthorContributions Conceptualization:BBMM. Datacuration:BBMMKAAESBW. Formalanalysis:MMBBKAA. Fundingacquisition:MMKAABBESBW. Investigation:BBESBWMM. PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 9/12 Transfusion-transmissibleviralinfectionsamongblooddonors Methodology:BBMMESBW. Projectadministration:BBMM. Resources:KAABBMMESBW. Software:BBMMESBWKAA. Supervision:BBMM. Validation:MMBB. Visualization:BBESBWKAAMM. Writing–originaldraft:BBMMES. Writing–review&editing:BBKAAMM. References 1. WHO.Globaldatabaseonbloodsafety,Geneva,Switzerland.Availableat:http://www.who.int/ bloodsafety/global_database/GDBS_Summary_Report_2011.pdf.Accesseddate:24/1/2017.2011. 2. ApataIW,AverhoffF,PitmanJ,BjorkA,YuJ,AminNA,etal.Progresstowardpreventionoftransfu- sion-transmittedhepatitisBandhepatitisCinfection-sub-SaharanAfrica,2000–2011.MMWRMorb MortalWklyRep.2014;63(29):613–9.PMID:25055184 3. AmiweroCE,PrescottRJ,GeorgeOA,JoyNI,AishaM.Seroprevalenceoftransfusiontransmissible infectionsamongblooddonorsattendingtheFederalMedicalCentre,Bida.IJMBR.2013;1(1):1–7. 4. SongY,BianY,PetzoldM,UngCOL.Prevalenceandtrendofmajortransfusion-transmissibleinfec- tionsamongblooddonorsinWesternChina,2005through2010.PloSone.2014;9(4):e94528.https:// doi.org/10.1371/journal.pone.0094528PMID:24714490 5. RerambiahLK,RerambiahLE,BengoneC,SiawayaJD.Theriskoftransfusion-transmittedviralinfec- tionsattheGaboneseNationalBloodTransfusionCentre.BloodTransfus.2014;12(3):330–3.https:// doi.org/10.2450/2013.0144-13PMID:24333085 6. TyagiS,TyagiA.possiblecorrelationoftransfusiontransmiteddiseaseswithRhtypeandABOblood groupsystem.JournalofClinicalandDiagnosticResearch.2013;7(9):1930–1.https://doi.org/10.7860/ JCDR/2013/6002.3360PMID:24179900 7. NagaloMB,SanouM,BisseyeC,Kabore´MI,NebieY,KienouK,etal.Seroprevalenceofhumanimmu- nodeficiencyvirus,hepatitisBandCvirusesandsyphilisamongblooddonorsinKoudougou(Burkina Faso).BloodTransfus.2011;9:419–24.https://doi.org/10.2450/2011.0112-10PMID:21839011 8. FederalDemocraticRepublicofEthiopiaMoH.NationalBloodTransfusionServicesStrategy2005. 9. AwasesM,GbaryA,NyoniJ,ChatoraR.Migrationofhealthprofessionalsinsixcountries:asynthesis report.WorldHealthOrganization.2004;65:38–42. 10. GeberemichealA,GelawA,MogesF,DagnawM.SeroprevalenceofhepatitisBvirusinfectionsamong healthcareworkersattheBulleHoraWoredaGovernmentalHealthInstitutions,SouthernOromia,Ethi- opia.JournalofEnvironmentalandOccupationalScience.2013;2(1):9–14. 11. JaddeeA.PrevaleneofHIV,HepatitisB,HepatitisCandSyphilisInfectionsAmongBloodDonors.Med- icalJournalofSrisaketSurinBuriramHospitals.2014;28(3):197–206. 12. SubeKL,SerianoOF,GoreRP,JajaS,LoroRL,LinoEO,etal.PrevalenceofHIVamongblooddonors atJubaTeachingHospitalBloodBank,SouthSudan.SouthSudanMedicalJournal.2011;7(4):76–80. 13. WHO.GlobalpolicyreportonthepreventionandcontrolofviralhepatitisinWHOMemberStates.Avail- ableat:http://www.who.int/hiv/pub/hepatitis/global_report/en/.Accesseddate:24/1/2017.2013. 14. TesfaH,BiadgoB,GetachewF,TegegneK,YismawG,MuluyeD.SeroprevalenceofhepatitisBand CvirusinfectionamongpatientsattendingserologylaboratoryofGondarUniversityHospital.BMC ResearchNotes.2013;6:164.https://doi.org/10.1186/1756-0500-6-164PMID:23618464 15. TessemaB,YismawG,KassuA,AmsaluA,MuluA,EmmrichF,etal.SeroprevalenceofHIV,HBV, HCVandsyphilisinfectionsamongblooddonorsatGondarUniversityTeachingHospital,Northwest Ethiopia:decliningtrendsoveraperiodoffiveyears.BMCinfectiousdiseases.2010;10:111.https:// doi.org/10.1186/1471-2334-10-111PMID:20459703 PLOSONE|https://doi.org/10.1371/journal.pone.0180416 July5,2017 10/12

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donors from the Ethiopian North Gondar District Blood Bank from 2010 to 2012. Descriptive College of Medicine, UNITED STATES. Received: . donors' registration books using the data extraction format. Both bivariate and multivariable binary logistic regression models .. British Microbiology.
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