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RESEARCHARTICLE Monthly variations in aneurysmal subarachnoid hemorrhage incidence and mortality: Correlation with weather and pollution Myung-HoonHan1☯,JinheeKim2☯,Kyu-SunChoi3,ChoongHyunKim1,JaeMinKim1,Jin HwanCheong1,Hyeong-JoongYi3,SeonHeuiLee4* 1 DepartmentofNeurosurgery,HanyangUniversityGuriHospital,Gyeongchun-ro,Guri,Gyonggi-do,Korea, 2 DepartmentofNursing,CollegeofMedicine,ChosunUniversity,Gwangju,Korea,3 Departmentof a1111111111 Neurosurgery,HanyangUniversityMedicalCenter,Wangsimni-ro,Seongdong-gu,Seoul,Korea, a1111111111 4 DepartmentofNursingScience,CollegeofNursing,GachonUniversity,Hambangmoe-ro,Yeonsu-gu, a1111111111 Incheon,Korea a1111111111 a1111111111 ☯Theseauthorscontributedequallytothiswork. *[email protected] Abstract OPENACCESS Citation:HanM-H,KimJ,ChoiK-S,KimCH,Kim JM,CheongJH,etal.(2017)Monthlyvariationsin Backgroundandpurpose aneurysmalsubarachnoidhemorrhageincidence andmortality:Correlationwithweatherand Althoughtheeffectofweatherandairpollutionontheoccurrenceofsubarachnoidhemor- pollution.PLoSONE12(10):e0186973.https://doi. rhage(SAH)hasbeeninvestigated,resultshaveremainedinconsistent.Thepresentstudy org/10.1371/journal.pone.0186973 aimedtodeterminetheseasonalityofaneurysmalsubarachnoidhemorrhageoccurrence Editor:ThanhG.Phan,MonashUniversity, andmortality. AUSTRALIA Received:June6,2017 Methods Accepted:October11,2017 Published:October26,2017 WeusedtheNationalInpatientSampledatabasetoevaluatetheeffectofmeteorological factorsandairpollutantsonpatientswithsubarachnoidhemorrhageinKoreabetween2011 Copyright:©2017Hanetal.Thisisanopen accessarticledistributedunderthetermsofthe and2014.MonthlyvariationsinSAHoccurrenceandmortalitywereanalyzedusinglocally CreativeCommonsAttributionLicense,which weightedscatterplotsmoothingcurves.MultivariatePoissongeneralizedlinearregression permitsunrestricteduse,distribution,and modelswereusedtoevaluatepotentialindependentmeteorologicalandpollutantvariables reproductioninanymedium,providedtheoriginal associatedwithSAHoccurrenceandmortality. authorandsourcearecredited. DataAvailabilityStatement:Allrelevantdataare withinthepaperanditsSupportingInformation Results files. Intotal,21,407patientswhounderwentcliporcoiltreatmentowingtoaneurysmalSAHin Funding:Thisstudywassupportedbyagrant fromtheKoreaHealthTechnologyR&DProject KoreafromJanuary1,2011,toDecember31,2014,wereincluded.Thecrudeincidence throughtheKoreaHealthIndustryDevelopment rateofSAHinKoreawas10.5per100,000peopleperyear.Anapproximately0.5%lower Institute(KHIDI),fundedbytheMinistryofHealth riskofSAHwasobservedper1˚Cincreaseinmeanmonthlytemperature(relativerisk, &Welfare,RepublicofKorea(grantnumber: 0.995;95%confidenceinterval[CI],0.992–0.997;p<0.001),whileanapproximately2.3% HC15C3401).URL:https://www.khidi.or.kr/board; jsessionid=n3vhZ3dBmrs2TrBkQTPGfGkRJV8pqV higherriskofSAHwasobservedper1˚Cincreaseinmeanmonthlydiurnaltemperature. PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 1/16 SeasonalvariationinSAHincidenceandmortality DlRtr63n4MysznphH0yvZC!-1652677014? Conclusions menuId=MENU00776&siteId=null. Weshoweddistinctpatternsofseasonalandmonthlyvariationintheoccurrenceandmor- Competinginterests:Theauthorshavedeclared talityofSAH.Ourfindingssuggestthatmeteorologicalfactorsmayplayanimportantrolein thatnocompetinginterestsexist. monthlyvariationsintheoccurrenceofaneurysmalSAH. Introduction Theinfluenceofweatherandairpollutionontheoccurrenceofaneurysmalsubarachnoid hemorrhage(SAH)hasbeenwidelyinvestigatednumerouscountries;however,theirresults remaininconsistent.AlthoughseveralresearchershavereportedthattheincidenceofSAHis lowerinthesummer,[1,2]additionalstudieshaverevealednoseasonalvariabilityintheoccur- renceofSAH.[3–6]Variousmeteorologicalfactorssuchastemperature,atmosphericpressure, andotherweatherparametershavebeeninvestigatedtoevaluatetheirpossibleassociation withSAHseasonalityandmortality.[2,7–13]Severalhypothesizedmechanismslinkingtem- perature,SAHoccurrence,andmortalityhavebeensuggested.Coldertemperaturemaybe associatedwithhigherSAHoccurrenceandmortalitybyincreasedfibrinogenlevels,increased bloodpressureandsympatheticnerveactivity,andincreasedsystemicinfectionrates.[11]In addition,thepossiblelinkbetweenSAHoccurrence/mortalityandairpollutionhasalsobeen investigated.[14–17]Exposuretopollutantswassuggestedtobelinkedtodeteriorationofvas- cularendothelialfunction,increasedsystemicinflammationandplateletactivation,and decreasedantioxidantenzymeactivity.[18] WeaimedtodeterminetheseasonalityofaneurysmalSAHoccurrenceandmortality.In addition,weusedtheNationalInpatientSample(NIS)databasetoevaluatetheeffectofmeteo- rologicalfactorsandairpollutantsonSAHoccurrenceandmortalityinKoreafrom2011to 2014. Methods Datacollection ThisstudywasapprovedbytheinstitutionalreviewboardofGachonUniversity(IRBNo. 1044396-201606-HR-043-01).Owingtotheretrospectivenatureofthestudy,theneedfor informedconsentwaswaived. WecollectedNISdataonpatientswithSAHfromJanuary1,2011,toDecember31,2014, availablebytheHealthInsuranceReviewandAssessmentService(HIRA;http://opendata. hira.or.kr)inKoreaeachyear.DetailedinformationregardingtheNISandHIRAhasbeen describedelsewhere.[19,20]Aseachpersonhasauniqueresidentregistrationnumber,dupli- cationofpatientscanbeavoided.[21]AllpatientswithprimaryorsecondarySAHdiagnosis codesofI60toI609,basedontheInternationalClassificationofDiseases,tenthedition(ICD- 10),weresearchedandextracted.Initially,weidentifiedatotalof71,737patientswithsponta- neousSAH.However,ourinitialsearchcaptureddatafrompatientswithprolongedhospital owingtosequelaeofSAHthathadoccurredpriorto2011,idiopathicornon-aneurysmal SAH,andadmissiondiagnosiscodeerrors.Toenhancethereliabilityofdetectingmonthly variationintruecasesofnewlydevelopedaneurysmalSAHbetween2011and2014,weonly includedpatientswhohadundergonetreatmentprocedures(surgicalclippingorendovascular coiling),despitethepotentialforunderestimationoftheincidencerate.Therefore,we extracteddatafrompatientswithprocedurecodesforclipping(S4641,simple;S4642, PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 2/16 SeasonalvariationinSAHincidenceandmortality complex)orcoiling(M1661,assistedcoiling;M1662,other(simple)coiling)fromamongthe initialsampleof71,737patients.Whenbothclippingandcoilingwereperformedinthesame individual,thecasewasregardedaseitherclippingorcoilingbasedontheprocedureper- formedattheearliestdate.Wefinallyincluded21,407patients,whowerefollowedupuntil December31,2015,toobtaindataregardingSAHmortality.Sex,age,demographicdistribu- tionofhospitaladmissions,datesofhospitaladmissionanddischarge,andothervariables wereextractedforallpatients.WedefinedthedayofonsetofSAHbasedontheadmission dateofthepatient.ThenumberofSAHsoccurringeachmonthwasalsorecorded. Mortalityassessment The21,407selectedstudypatientswerefollowedupuntilDecember31,2015,usingdatafrom theNISdatabase.SincetheHIRAdoesnotprovidemortalityinformation,[19]themortality datewasdefinedasthedateonwhichthelastdischargecodewasrecorded,whensatisfying thefollowingcriteria:(1)visitedtheoutpatientdepartment≦2times(incaseofdeathcertifi- cate)withnomedicationprescribed,andnofurtheradmissionwithin3monthspost-dis- charge,and(2)didnotusemedicalfacilitiesforanypurposeinKoreauntilDecember31, 2015,after3monthspost-discharge.AllKoreansarebeneficiariesoftheKoreanNational HealthInsuranceSystem,thusHIRAdatabaseenablingtotracerecordsofnation-wideinpa- tientandoutpatientdata.[22]Therefore,wecouldidentifiedallrecordsofSAHpatientsvisit- inganymedicalfacilitiesincludingprimaryhospitals,privateclinics,publichealthcenters, andpharmaciesinSouthKorea.[23]IntreatedSAHpatients,allpatients(evenpatientswith modifiedRankinscale0atdischarge)weretobefollowedupbyaphysicianandprescribed medicationinanoutpatientdepartment(atthehospitalwherepatientwastreatedoranyother hospitalsinKorea),especiallyduringtheearlyperiodafterdischarge.Mostpatientsinavege- tativestatearetransferredtoarehabilitationhospitalornursingfacility.Eveniffewvegetative patientsmaytransfertotheirhome,theguardiansmayneedtousemedicalfacilitiestoadmin- isterprescribedmedications.Whenthevegetativepatientisfounddeadbytheguardianat home,thedeadbodymustbecarriedtotheemergencyroomforcadaverexamination,and subsequently,thedischargecodeshouldberecordedintheemergencyroom.Therefore,we assumedthedateofdeathtobethedayofdischargeaftercliporcoiltreatmentwhenthese conditionsaremet.WepresentthedetailedSAHadmissionandmortalitydatabasedoneach month,classifiedbysexandagegroup(S1Data)Wealsoperformedsensitivityanalysisto evaluatethesuitabilityofourcriteriawithacut-offvalueof3months.Nosignificantdiffer- encesinmortalitywereobservedwheneachmonth(2–5)wassetasthecut-offvalue(S1 Table). Meteorologicalandairpollutiondata Meteorologicaldataincludingmonthlymeasuresofmeantemperature,averagediurnaltem- peraturerange,andinsolationfrom2011to2014inKoreawereobtainedfromtheMeteoro- logicalAdministrationofSouthKorea(http://www.kma.go.kr/eng/).Thesedatawere collectedandanalyzedfrom73observationstationslocatedthroughoutSouthKorea.[24] Airpollutantdataincludedaveragemonthlymeasuresofparticulatematterwithanaero- dynamicdiameter<10μm(PM ),nitrogendioxide(NO ),andsulfurdioxide(SO )in 10 2 2 Koreaforthedurationofthestudyperiod.ThesedatawerecollectedfromAirKorea,which wasestablishedin2002bytheMinistryofEnvironmentofSouthKorea(www.airkorea.or. kr/eng/).Thecomprehensiveairpollutiondatawerecollectedandanalyzedfrom251sites in79cities.[25] PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 3/16 SeasonalvariationinSAHincidenceandmortality Season Seasonsweredefinedaswinter(DecemberthroughFebruary),spring(MarchthroughMay), summer(JunethroughAugust),andautumn(SeptemberthroughNovember). Statisticalmethods ThecrudeSAHincidenceratewasestimatedastheaveragenumberofSAHsoccurringinthe studyperiodper100,000peopleperyear.Discretevariablesareexpressedaspercentages;con- tinuousvariables,themean±standarddeviationormedianwithinterquartilerange(IQR). DescriptivestatisticswereusedtodeterminethemedianandIQRofmonthlymeteorologi- calandairpollutionmeasures.Therelationshipsamongmeteorologicalandairpollutionfac- torswereevaluatedusingthePearsoncorrelationtest. Weusedalocallyweightedscatterplotsmoothing(LOWESS)curvewitha95%confidence interval(CI)tographicallyrepresentthetotalmonthlyvariationintheoccurrence/mortality ofaneurysmalSAH,whichwasthenstratifiedinaccordancewitheachyear.Student’st-test wasusedtoidentifyseasonalvariationsinSAHoccurrenceandmortality.Linearregression linesfortheLOWESScurvewereusedtoidentifytheassociationamongtemperature,diurnal temperaturerange,andSAHoccurrence.SAHoccurrencewasnaturallog-transformedto normalizedistributions. UnivariateandmultivariatePoissongeneralizedlinearregressionmodelswereusedtoeval- uatepotentialindependentmeteorologicalandpollutantvariablesassociatedwithSAHoccur- renceandmortality,usingalog-linkagefunctionoffsetbythelogofthepopulationineach yearfrom2011to2014.ThepopulationofKoreabetween2011and2014wasinvestigated basedontheKoreanpopulationcensus(http://rcps.egov.go.kr). WeusedtheggplotfunctioninRtovisualizethemapofSouthKoreausing“ggplot2”and “Kormaps”packages(e.g.ggplot(kormap1,aes(x=long,y=lat,group=group,fill=id))+ geom_polygon(colour="black")+...).WecreatedamapofSouthKoreainExceltodisplay geographicdistributionofaveragetemperature,diurnaltemperaturerange,andPM concen- 10 trationsusingagradientspectrumoftwocolors.ThescatterplotwithLOWESScurveandlin- earlinewereproducedby“moonBook”,“ggthemes”,and“ggplot2”packages(e.g.ggplot (data=RRR,aes(x=factor(Month),y=Total,group=1))+stat_smooth(colour= "#2E9FDF",fill="gray75",size=1.1)+geom_point(fill="#2E9FDF",size=2,shape=21)+... andggplot(data=RRR,aes(x=Temperature,y=log_SAH,group=1))+stat_smooth (method=lm,size=1.1,aes(colour="Linear"),se=FALSE)+stat_smooth(size=1.1,aes (colour="LOWESS"),se=FALSE)+...).AllstatisticalanalyseswereperformedusingRver- sion3.3.2. Results DemographicdistributionofSAHoccurrenceandregionalheterogeneity ofthemeteorologicalfactorsandpollutantsinKorea Duringthestudyperiod,theaveragepopulationofKoreawas51,037,983.8(Table1andFig1). Intotal,21,407patientsunderwentsurgicalclippingorendovascularcoilingowingtoaneu- rysmalSAHbetween2011and2014.ThecrudeincidencerateofSAHinKoreawas10.5per 100,000peopleperyear.TheincidenceratewashighestinGwangju(23.4)andlowestinJeon- nam(1.4)(Fig1A).OnepossibleexplanationforthisdifferenceisthattheRegionalEmergency MedicalCenterisinGwangju,whichislocatedinsideJeonnam.Inaddition,Jeonnaminhabi- tantspreferenceforthehospitalinGwangjualsoaffectedthedifference,despiteanemergency situation.Fig1B,1Cand1Dshowregionaldifferencesofaveragetemperature,diurnal PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 4/16 SeasonalvariationinSAHincidenceandmortality Table1. Characteristicsoftheaveragepopulationandpatientswithspontaneousaneurysmalsub- arachnoidhemorrhageinKoreabetween2011and2014. Characteristics AveragepopulationofKoreabetween2011and2014 Overall,mean 51,037,983.8 Men,mean(%) 25,542,156.5(50.1) Women,mean(%) 25,495,827.3(50.0) <65years,mean(%) 44,924,827.5(88.0) (cid:21)65years,mean(%) 6,113,156.3(12.0) Patientsreceivingtreatmentduetospontaneousaneurysmal SAHinKorea Overall,n 21,407 Crudeincidencerateper100,000person- 10.5 year Sex Men,n(%) 7,679(35.9) Women,n(%) 13,728(64.1) Age,mean±SD(median) 56.3±12.9(55) <65years,n(%) 15,470(72.3) (cid:21)65years,n(%) 5,937(27.7) Treatment Clip,n(%) 11,485(53.7) Coil,n(%) 9,922(46.3) Lengthofstay,median(IQR) 20(12–29) Charlsonco-morbidityIndex,mean±SD 2.3±1.5(2) (median) Inhospitalmortality,n(%) 1,926(9.0) Mortalityrate,% 9.0 Medicalcharges,median(IQR),₩ 13,833,740(10,564,160to18,790,240) NumberofSAHsperyear 2011,n(%) 5,471(25.6) 2012,n(%) 5,255(24.5) 2013,n(%) 5,307(24.8) 2014,n(%) 5,374(25.1) SAH,subarachnoidhemorrhage;SD,standarddeviation;IQR,interquartilerange https://doi.org/10.1371/journal.pone.0186973.t001 temperaturerange,andPM inSouthKoreabetween2011and2014basedonsummerand 10 winterseasons.Theaveragetemperaturevariedbyabout3˚C~8˚Cand4˚C~6˚Cvariation ofdiurnaltemperaturerangethroughoutnationfrom2011to2014insummerandwinter. PM rangedfromapproximately13μg/m3to27μg/m3.Wealsopresentdetailedregional 10 measuresofthemeteorologicalfactorsandairpollutantsinSouthKoreaeachyearclassified bysummerandwinterseasons(S2Data). Characteristicsofthestudypopulation TheaverageageofpatientsatSAHoccurrencewas56.3years,and64.1%ofpatientswere women.Surgicalclippingwasperformedin11,485(53.7%)patients.Themedianlengthof admissionwas20days,andthemortalityratewas9.0%.Patientcharacteristicsarefurther detailedinTable1. PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 5/16 SeasonalvariationinSAHincidenceandmortality Fig1. Demographicdistributionofpatientswhounderwentproceduresforaneurysmalsubarachnoidhemorrhageandregionalheterogeneity ofthemeteorologicalfactorsandpollutantsinSouthKoreabetween2011and2014:(A)demographicdistributionofsubarachnoidhemorrhage occurrence(B)regionalaveragetemperaturebasedonsummerandwinterseasons;(C)regionaldiurnaltemperaturerangebasedonsummerandwinter seasons;(D)regionalparticulatematterwithanaerodynamicdiameter<10μmconcentrationsbasedonsummerandwinterseasons. https://doi.org/10.1371/journal.pone.0186973.g001 Monthlymeasuresofmeteorologicalfactorsandpollutants Table2showsthemonthlydistributionofmeteorologicalparametersandairpollutantswith medianandIQRvaluesfrom2011to2014.ThepairwisePearsoncorrelationcoefficients amongmeteorologicalfactorsandpollutantswereestimated(S2Table).Temperatureexhib- itedasomewhatsignificantcorrelationwithairpollutionvariables,withthestrongestnegative PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 6/16 SeasonalvariationinSAHincidenceandmortality Table2. MonthlysubarachnoidhemorrhageoccurrenceandaveragemonthlymeteorologicalfactorsandairpollutantsinKoreabetween2011 and2014. Meteorologicalfactors Pollutants Month SAH Temperature Diurnaltemperaturerange Insolation(hour), PM (μg/m3), NO (ppb), SO (ppb), 10 2 2 occurrence, (˚C), (˚C), median(IQR) median(IQR) median(IQR) median(IQR) n(%) median(IQR) median(IQR) Jan 1954(9.1) -1.7(-3.8to0.1) 10.0(9.6to10.8) 196.3(183.0to 57.3(44.9to 26.6(23.4to 7.5(6.3to 214.4) 61.1) 28.7) 7.6) Feb 1735(8.1) 1.3(-0.4to2.4) 10.2(10.0to11.0) 173.0(150.4to 51.4(48.3to 24.6(23.6to 6.4(5.9to 213.5) 64.1) 28.7) 6.7) Mar 1960(9.2) 6.2(4.9to7.4) 11.3(10.1to12.8) 226.6(187.9to 58.5(51.5to 22.0(20.9to 5.5(5.3to 246.5) 61.8) 23.3) 5.8) Apr 1815(8.5) 11.2(10.5to 12.2(12.1to12.2) 213.2(212.5to 53.6(51.5to 22.2(20.2to 4.9(4.8to 12.9) 217.2) 56.4) 36.2) 5.2) May 1779(8.3) 18.1(17.4to 11.8(10.9to12.7) 236.2(191.0to 62.3(56.8to 20.3(19.4to 5.2(4.8to 18.4) 278.5) 71.1) 20.6) 5.3) Jun 1659(7.7) 22.0(21.9to 9.2(9.0to9.5) 179.6(173.1to 44.2(39.9to 16.7(15.1to 4.6(4.3to 22.5) 188.0) 46.7) 17.9) 5.0) Jul 1612(7.5) 25.3(25.1to 7.4(6.9to8.2) 157.5(123.4to 33.9(31.8to 14.4(13.3to 4.2(4.1to 26.1) 177.1) 37.7) 14.8) 7.1) Aug 1628(7.6) 25.8(24.2to 7.3(6.9to8.6) 142.0(114.1to 30.1(26.8to 14.2(12.7to 3.8(3.6to 27.1) 223.7) 36.0) 14.6) 4.3) Sep 1642(7.7) 21.0(20.4to 9.5(9.1to10.0) 184.9(180.2to 32.6(32.3to 16.7(16.2to 4.0(3.8to 21.2) 198.1) 32.9) 16.8) 4.7) Oct 1915(8.9) 14.6(13.9to 11.7(11.5to12.1) 224.9(206.8to 38.1(35.5to 21.7(20.1to 4.1(3.9to 15.3) 233.3) 43.7) 23.4) 4.2) Nov 1919(9.0) 8.0(6.7to10.5) 10.0(9.3to10.4) 177.8(140.7to 44.2(43.8to 23.4(22.5to 4.9(4.8to 190.2) 46.3) 25.2) 5.2) Dec 1789(8.4) 0.1(-1.4to1.3) 9.2(9.0to9.3) 179.3(173.4to 43.5(41.0to 24.5(23.4to 5.9(5.7to 188.5) 49.4) 25.9) 6.2) SAH,subarachnoidhemorrhage;IQR,interquartilerange;PM ,particulatematterlessthan10mminaerodynamicdiameter;NO ,nitrogendioxide;SO , 10 2 2 sulfurdioxide https://doi.org/10.1371/journal.pone.0186973.t002 correlationobservedforNO2(r=-0.758).Diurnaltemperaturerangewaspositivelycorre- latedwithinsolation(r=0.787). MonthlyvariationsofSAHoccurrenceandmortality SAHoccurrencewashighestinMarch(n=1,960)andlowestinJuly(n=1,612)(Table2).The overallmonthlyvariationinSAHexhibitedaV-shapedpattern,withatendencytodecrease fromJanuarytosummerandatendencytoincreasefromsummertoDecember,withfour peaksinJanuary,March,October,andNovember(Fig2A). SAHoccurrencewaslowerinthesummerthaninthewintereachyear(Fig2C).Thispat- ternwasmaintainedwhenpatientsweredividedintosexandagegroups(S1AandS1BFig).A significantdifferenceinSAHoccurrencebetweensummerandwinterwasobservedinwomen (p=0.038),notinmen(p=0.104). MortalitywashighestinMarch(n=199)andlowestinDecember(n=124)(Fig2B). VariationsinmortalityexhibitedapatternsimilartothoseforSAHoccurrencefromJan- uaryuntilearlyautumn.However,mortalitytendedtodecreaseattheendoftheyear, despiterelativelyhigherSAHoccurrence.Relativelyirregularpatternsofmortalitywere observedeachyearfrom2011to2014(Fig2D).Monthlyvariationsinmortalityaccording tosexandagearedepictedinFigCandDoftheS1Fig. PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 7/16 SeasonalvariationinSAHincidenceandmortality Fig2.LOWESSregressionlinewith95%confidenceintervalshowingthepatternofmonthlySAHoccurrenceand mortality(overallandstratifiedbyyear). https://doi.org/10.1371/journal.pone.0186973.g002 Combinedeffectofmonthlymeantemperatureanddiurnaltemperature rangeonSAHoccurrence ThelowerincidenceofSAHinthesummermaybesomewhatexplainedbytheeffectoftem- peratureonSAH.Weobservedanapproximate0.5%decreaseinSAHoccurrenceper1˚C increaseinambienttemperature,withabout40%explanatorypowerinthelog-transformed linearregressionanalysis(β=-0.005;p<0.001;R2=0.396).Acontinuousdownwardslope wasalsonotedfortemperaturesaboveapproximately10–15˚C(Fig3A). Thisstatisticalsignificancewasmaintainedwhenwedividedpatientsintosexandage groups(Fig3B).Theresultsoftheunivariateandmultivariatelinearregressionanalysesof PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 8/16 SeasonalvariationinSAHincidenceandmortality Fig3.LinearandLOWESSregressioncurveofnaturallog-transformedsubarachnoidhemorrhageoccurrence basedontemperatureanddiurnaltemperaturerange,overall,andstratifiedaccordingtogenderandage. https://doi.org/10.1371/journal.pone.0186973.g003 log-transformedSAHoccurrencebasedonmeteorologicalandairpollutionparametersare presentedinS3Table.WeobservedthattemperaturewasassociatedwithSAHoccurrence (RR,0.995;95%CI,0.992–0.997;p<0.001per1˚Cincrement)inthemultivariatePoisson regressionafteradjustingforallmeteorologicalfactorsandpollutants(Table3).Thissignifi- cantrelationshipwasalsoobservedforwomen,youngerpatients(<65years),andolder patients(≧65years)inthemultivariateanalysis(S4Table). HigherSAHoccurrencewasalsoobservedwithhigherdiurnaltemperaturechangesduring thechangeofseasonsinMarch,October,andNovember.Diurnaltemperaturerangeexhibited apositiveassociationwithSAHoccurrence,withapproximately26%explanatorypower(β= 0.025;p<0.001;R2=0.255).Anupwardslopewasalsoobservedbetween8–11˚Cinthe LOWESScurve(Fig3C).Thisassociationpersistedwhenpatientsweredividedintosexand agegroups(Fig3D).MultivariatePoissonregressionrevealedanapproximately2.3% increasedriskofSAHoccurrenceper1˚Cincreaseinaveragemonthlydiurnaltemperature range(RR,1.023;95%CI,1.003–1.044;p=0.025)(Table3).WithregardtoSAHmortality, diurnaltemperaturerangeandinsolationshowedsignificantassociationintheunivariateanal- ysis(RR,1.042;95%CI,1.013–1.071;p=0.004;RR,1.001;95%CI,1.000–1.003;p=0.032, respectively).However,therewerenoassociationsbetweenmeteorologicalandairpollution factorsandSAHmortalityinthemultivariateanalysis. PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 9/16 SeasonalvariationinSAHincidenceandmortality Table3. Relativeriskofsubarachnoidhemorrhageoccurrenceandmortalitybasedonmeteorologicalfactorsandairpollutants. SAHoccurrence UnivariatePoissonregression MultivariatePoissonregression Variable RR(95%CI) p RR(95%CI) p Meteorologicalfactors(per1unitincrease) Temperature 0.995(0.993to0.996) <0.001 0.995(0.992to0.997) <0.001 Diurnaltemperaturerange 1.025(1.016to1.033) <0.001 1.023(1.003to1.044) 0.025 Insolation 1.001(1.000to1.001) 0.001 1.000(0.999to1.000) 0.350 Pollutants(per1unitincrease) PM 1.003(1.002to1.004) <0.001 1.000(0.998to1.002) 0.811 10 NO 1.008(1.006to1.011) <0.001 0.999(0.994to1.004) 0.672 2 SO 1.025(1.012to1.037) <0.001 0.995(0.975to1.015) 0.616 2 SAHmortality Variable RR(95%CI) p RR(95%CI) p Meteorologicalfactors(per1unitincrease) Temperature 0.999(0.994to1.004) 0.678 1.000(0.991to1.008) 0.909 Diurnaltemperaturerange 1.042(1.013to1.071) 0.004 1.063(0.994to1.137) 0.073 Insolation 1.001(1.000to1.003) 0.032 0.999(0.997to1.002) 0.578 Pollutants (per1unitincrease) PM 1.003(0.999to1.007) 0.128 1.000(0.993to1.007) 0.944 10 NO 1.004(0.995to1.012) 0.372 0.995(0.979to1.011) 0.552 2 SO 0.991(0.952to1.033) 0.678 0.991(0.927to1.061) 0.802 2 SAH,subarachnoidhemorrhage;RR,relativerisk;CI,confidenceinterval;PM ,particulatematterlessthan10mminaerodynamicdiameter;NO , 10 2 nitrogendioxide;SO ,sulfurdioxide 2 https://doi.org/10.1371/journal.pone.0186973.t003 MonthlyambienttemperaturewassignificantlyassociatedwithSAHoccurrenceamong womenandinbothagegroups,whilediurnaltemperaturerangeexhibitedapositiveassocia- tionwithSAHoccurrenceinmen(RR,1.049;95%CI,1.014–1.085;p=0.006),afteradjusting forallmeteorologicalfactorsandpollutants(S4Table). Discussion Inthepresentstudy,wefoundthatbothmeanmonthlyanddiurnaltemperaturerangeaffect SAHoccurrence.Lowermeantemperaturesweresignificantlycorrelatedwithhigheraneurys- malSAHoccurrence.Inaddition,higherdiurnaltemperaturerangewaspositivelyassociated withSAH,thisassociationbeingsignificantlymoreprominentinmenthaninwomen.In-hos- pitalmortalitywashighestinMarchandtendedtodecreaseattheendoftheyear,despitean increaseintheincidenceofSAHatthistime.Mortalityexhibitednoassociationwitheither meteorologicalfactorsandpollutantsinthemultivariateanalysis. PreviousstudieshavesupportedourfindingthattheincidenceofSAHislowerinthesum- merthaninotherseasons.[26–28]Arecentmeta-analysisalsoreportedthataneurysmalSAH occurrencewaslowinsummerthaninwintermonths,peakinginJanuary.[29]Previousstud- ieshavereportedinconsistentfindingsregardingtheassociationbetweenambienttempera- tureandSAHoccurrence.Inthepresentstudy,wealsoobservedlowlinearcorrelation betweenSAHoccurrenceandlowerambienttemperature(belowaround10–15˚C),despitean overallsignificantnegativecorrelationbetweenSAHoccurrenceandtemperature.Further- more,weobservedasignificantcorrelationbetweenSAHandmeanmonthlydiurnaltempera- turerange.Gilletal.reportedthatcoldertemperaturesandtemperaturefluctuationsfrom PLOSONE|https://doi.org/10.1371/journal.pone.0186973 October26,2017 10/16

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The influence of weather and air pollution on the occurrence of aneurysmal subarachnoid A Nationwide Study of Stereotactic Radiosur- gery in a
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