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1

Highlights

Burnsxxx(2019)xxx–xxx

Patterns

and

predictors

of

burn

scar

outcome

in

the

first

12

months

post-burn:

The

patient

s

perspective

Z.M.Rashaan*,K.A.A. Kwa,M.B.A.vanderWal,W.E.Tuinebreijer,P.P.M.vanZuijlen, R.S.Breederveld

ThePOSASpatienttotalandindividualitemscoresshowedastatisticallysignificantimprovementofthescarqualityinthefirst

12monthspost-burn,exceptforrelief.

Q6

Sex,age,depthofthewound,percentageofTBSAandflameburnswerepredictorsofvariousPOSASpatientitemsat3,6and

12monthspost-burn.

TheeffectofthepredictorswasnotthesameontheindividualPOSASpatientitems.

burns xxx (2019) xxx–xxx

Available

online

at

www.sciencedirect.com

ScienceDirect

(3)

1Q3

Patterns

and

predictors

of

burn

scar

outcome

in

the

2

first

12

months

post-burn:

The

patient

s

perspective

3Q4Q5

Z.M.

Rashaan

a,b,

*

,

K.A.A.

Kwa

a,b

,

M.B.A.

van

der

Wal

e

,

4

W.E.

Tuinebreijer

b

,

P.P.M.

van

Zuijlen

c,d

,

R.S.

Breederveld

a,b

5 aDepartmentofSurgery,LeidenUniversityMedicalCentre,Albinusdreef2,2333ZALeiden,Leiden,TheNetherlands

6 b

BurnCentreandDepartmentofSurgery,RedCrossHospital,Vondellaan13,1942LE,Beverwijk,TheNetherlands 7 cBurnCentreandDepartmentofPlasticandReconstructiveSurgery,RedCrossHospital,Vondellaan13,1942LE,

8 Beverwijk,TheNetherlands

9 dDepartmentofPlasticandReconstructiveSurgeryandMOVEResearchInstitute,VUUniversityofAmsterdam,Van

10 derBoechorststraat7,1081BT,Amsterdam,TheNetherlands

11 e

AssociationofDutchBurnCentres,Zeestraat27-29,1941AJ,Beverwijk,TheNetherlands

a

b

s

t

r

a

c

t

Objective:Thisstudyaimedtoprovideinsightintothepatternsandfactorsthatpredictburn scaroutcomesat3,6and12monthspost-burn.

Methods:ThePatientandObserverScarAssessmentScale(POSAS)wasusedtoassessthescar formationofeachpatient.Structuralequationmodellingwasused.Thepredictorvariablesused inthisstudyweresex,threeagecategories,TBSA,depthofthewoundandcauseoftheburn.

Results:ThePOSASpatienttotalandindividualitemscoresdemonstrateda statistically significantdecreaseinthefirst12monthspost-burn,exceptforthereliefitem.Malepatients hadalowertotalanditemsscores(betterscarquality)forpainandprurituscomparedwith femalepatients.Fullthicknessburnshadahigherscoresforpruritus,pliability,thickness andreliefcomparedtothepartial-thicknessburns.Agesyoungerthan5years,higherTBSA valuesandflameburnswerepredictorsofvariousPOSASitemsat3and6monthspost-burn.

Conclusion:ThePOSASpatienttotalandindividualitemscoresdemonstratedastatistically significantimprovementinthescarqualityinthefirst12monthspost-burn,exceptforthe relief.Sex,age,depthofthewound,thepercentageofTBSAandflameburnswerepredictors ofvariousPOSASpatientitemsat3,6and12monthspost-burn.

©2019ElsevierLtdandISBI.Allrightsreserved.

a

r

t

i

c

l

e

i

n

f

o

Articlehistory:

Accepted26March2019 Availableonlinexxx

12 Keywords: 13 Burnwounds

14 Burnscars

15 POSAS

16 Scarquality

17 Predictorsandpatterns

18

1.

Introduction

19 Burnscarshaveextensiveimpactsonburnpatientsintermsof 20 quality of life, functional impairment and physiological

21

problems[1–3].Thus,theoptimalmanagementofburnscars

22

requires more insight into the factors that influence the

23

severityofburnscars.

24

Todate,sex,age,skintype,location,bacterialcolonisation,

25

time to wound healing, type of graft, multiple surgical

Abbreviations:CFI,comparativefitindex;POSAS,thePatientandObserverScarAssessmentScale;SEM,structuralequationmodelling; LGM,latentgrowthcurvemodel;RMSEA,therootmeansquareerrorofapproximation.

* Correspondingauthor.

E-mailaddresses:[email protected](Z.M. Rashaan),[email protected](K.A.A. Kwa),[email protected](M.B.A. vanderWal),

[email protected](W.E. Tuinebreijer),[email protected](P.P.M. vanZuijlen),[email protected](R.S. Breederveld).

https://doi.org/10.1016/j.burns.2019.03.025

0305-4179/©2019ElsevierLtdandISBI.Allrightsreserved.

burns xxx (2019) xxx–xxx JBUR58071–8

Pleasecitethisarticleinpressas:Z.M.Rashaan,K.A.A.Kwa,M.B.A.vanderWaletal.Patternsandpredictorsofburnscaroutcomein thefirst12monthspost-burn:Thepatient’sperspective.Burns(2019),https://doi.org/10.1016/j.burns.2019.03.025

Available

online

at

www.sciencedirect.com

ScienceDirect

(4)

26 procedures, burn severity and the skin being subjected to 27 stretchinghavebeenfoundtoberiskfactorsforhypertrophic 28 scarring[48].Theimpactsofburnscarsnotonlyentailthe 29 appearanceofthescarbutalsoinvolveofitsaccompanying 30 symptoms. Up to 47% of patients experience pain that is 31 associatedwiththeirburnscars[9].Inaddition,prurituswas 32 foundtostillbepresentin67%oftheburnpatientsattwoyears 33 post-burn [10]. It should be noted that different burnscar 34 assessmentstrategieswereusedinthesestudies,andthese 35 studieswereoftenlimitedbythelackofanappropriatetoolfor 36 evaluatingscaroutcomes.

37 Currently,thePatientandObserverScarAssessmentScale 38 (POSAS)iswidelyusedtoassessscarquality[11].ThePOSAS 39 consistsofobserverandpatientcomponentsandhasbeen 40 foundtobeareliableandvalidinstrumentfortheassessment 41 ofburnscars[12,13].ThePOSASpatientscalebyDraaijersetal. 42 (version1.0)incorporatesscoresforthefollowingsixitemsby 43 using a 10-point rating scale: pain, itch, color, pliability, 44 thicknessandrelief[12,14].Ahighscoreindicatesaworsescar 45 quality. There is a paucity of research investigating the 46 changesinthePOSAS scoresafterburns[15].Van derWal 47 et al. described that full thickness wounds and a higher 48 percentageofTBSA were significantpredictorsofahigher 49 POSASscore,whereastheaetiologyandageofthepatienthad 50 no influence on the scar quality [16]. In addition, POSAS 51 assessmentathreemonthspost-burnfoundtobepredictiveof 52 finalscarqualityattwelvemonthspost-burn[17].

53 The purpose of the present study was to describe the 54 influenceofpredictorsonchangesinPOSASpatientscoresat 55 3,6and12monthspost-burn.

56

2.

Materials

and

m

ethods

57 2.1. Recruitmentandstudypopulation

58 Thisretrospectivestudywas performedattheburncentre 59 outpatientclinicattheRedCrossHospital,Beverwijkinthe 60 Netherlands between June 2004 and December 2009. This 61 studywasconductedinaccordancewiththeethicalstandards 62 oftheinstitutionaland/ornationalresearchcommitteeand 63 withthe1964Helsinkideclarationanditslateramendmentsor 64 comparableethicalstandards.ThePOSASquestionnaireisa 65 standardpartofeachroutinefollow-upvisitofeachoftheburn 66 patientsintheoutpatientclinicat3,6and12monthsatour 67 specializedburncentre.Thedataofthe patientswho were 68 admittedtotheburncentreandwhoweresubsequentlyseen 69 attheoutpatientclinicat3,6and12monthspost-burnwere 70 included in the analysis. In this consecutive sample, the 71 patientswhoparticipatedinclinicaltrialsforwoundorscar 72 treatments were excluded from the study. The parentsor 73 caregiverswereaskedtofillinthePOSASpatientcomponent 74 for patients who were under the age of5 years. Baseline 75 characteristics such as sex, age at the time of burn, the 76 percentage of total body surface area (TBSA), burn depth 77 (partialorfullthickness)andthe causeoftheburnwound 78 (flameorscald)werecollected.Atourinstitution,patientswith 79 full-thickness burns were operated (skin grafting). Mixed 80 burns(partialandfull-thickness)wereconservativelytreated 81 forapproximately1014 days.Burn woundsof>3cm2that

82

were not yet healed, were considered for skin grafting

83

procedures.Partial-thicknessburnsweretreatedwithtopical

84

antisepticsorhydrofibredressings.Thistreatmentalgorithm

85

waschosenbecausewoundhealingthattakesmorethanthree

86

weeks to complete, is considered to be a risk factor for

87

hypertrophic scarformation[18].Patients werecategorized

88

intothefollowingthreeage-groups:<5years,5–18yearsand

89

>18years.Thecut-offvalueof5yearswaschosenbecauseof

90

tworeasons.First,theepidemiologyofburnwoundstendsto

91

bedifferentbetweenchildren<5yearsandolderchildren.In

92

general,scaldburnsweremorecommoninchildrenwhowere

93

youngerthan 5yearscomparedwitholderchildren[19,20].

94

Second,thePOSASpatientscoresofthisagecategorywere

95

completed by the caregivers, which may influence the

96

outcomescomparedwitholderchildrenwhocompletedthe

97

POSASpatientscoresontheirown.Thestudylocationatthree

98

monthspost-burnwasdefinedasthemostapparentpartof

99

the scar according to the patient. Standard treatment

100

consisted ofsilicones or pressure garments depending on

101

the location and scar activity. If there was a significant

102

functional impairment during ADL, then there was an

103

indicationofreconstructionsurgeryduringthefirst12months

104

post-burn. After 12 months post-burn, an operation was

105

indicated for both functional impairment and esthetical

106

reasons.

107

2.2. ThePOSAS

108

Tothebestofourknowledge,thereisconflictingdatainthe

109

literatureconcerningtheanalysisofthePOSASpatientscores.

110

VanderWaletal.foundthatthePOSASpatientquestionnaire

111

wasunidimensional.Therefore,theindividualandsumofthe

112

itemsofthePOSASpatientscorescouldbeusedforstatistical

113

analysis[21].Conversely,deJongetal.foundthatthePOSAS

114

patientquestionnairewasmultidimensional.Therefore,the

115

only individual POSAS patients scores could be used for

116

statistical analysis [13]. In this study, we used both the

117

individualandsumofthePOSASpatientscoresforstatistical

118

analysis. Ifthepatientwasunabletoanswerthe

question-119

naire,e.g.inthecaseofchildren<5yearsorinthecaseof

120

mentallyimpairedpatients,thenthecaretakerwasaskedto

121

scoretheitems.

122

2.3. Studymodelandstatisticalanalyses

123

Structuralequationmodelling(SEM)wasperformedusingthe

124

IBMSPSS statisticalpackage AMOSTL24 [22].We applieda

125

latent growth curve model (LGM), which was a special

126

applicationoftheSEMwithseveraladvantages.Latentgrowth

127

curvemodellinginAMOSwasabletoaccommodateirregularly

128

spaced measurements at the three time points (3, 6 and

129

12monthspost-burn)inourdata[23].Inaddition,theuseof

130

LGMmadeitpossibletoassessthefitofthemodeltothedata

131

andtoeffectivelycomputethemaximumlikelihoodestimates

132

inourdataset,whichwasnotcompletedatallthreeofthetime

133

points(AppendixB).TheInter-individualdifferencesinthe

134

changesovertimewereassessed,andgroup-levelstatistics

135

such asthe mean change rates and mean interceptswere

136

provided. TheLGM accountsfortheofchange(slopecurve

137

analysis)attheindividuallevel(patient)andatthegrouplevel

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138 (forinstance,thedepthoftheburnwound,sex,etc.).Thefitof 139 theLGMwastested.Theabsoluteandcomparativefitindices 140 werecalculated.

141 The following predictor variables were entered into the 142 models:sex,age<5years,age518yearsandage>18years,the 143 percentageofTBSA,depthofthewoundandcauseoftheburn. 144 OurmodelwasbasedonourearlierstudythatusedthePOSAS 145 patientscaletostudytheinfluenceoftime-invariantpredictors 146 (suchassex,thepercentageofTBSA,wounddepthandage 147 categories)onthePOSASscaleinthesamegroupofpatients 148 [16].Thethreedifferentinterceptestimatesrepresentedthe 149 patientstotalscoresat3,6or12months.Thetimemomentof 150 theintercept wasdependenton how thetime values were coded 151 (0,1,3; 1,0,2or 3, 2,0).Theslopeestimatesrepresentedthe 152 patientsratesofchangebetween3,6and12monthspost-burn. 153 PositiveinterceptsindicatedhigherPOSASscoresat3,6and 154 12monthspost-burn,whichthusindicatedaworsescarquality 155 comparedtothatofthereferencegroup.Significantnegative 156 slopesinthePOSASscoresindicatedaslowerrateofchangein 157 the presented predictor category compared to that in the 158 referencecategory(forexample,flameburnscomparedtothe 159 referencecategoryscaldburns).

160 Thecorrelationsbetweentheinterceptsandslopeswere 161 calculated.Apositivevalueindicatedahighinitialscoreat 162 3monthspost-burnwithagreaterrateofchange,whereasa 163 negativecorrelationindicatedahighinitialscoreat3months 164 post-burnwithalowerrateofchange.

165 TheLGMwasinvestigatedinamodelforthetotalscoreand 166 wasindividuallyinvestigatedinamodelforthesixitemsthat 167 wereincorporatedin thePOSASpatientscale,bothwithand 168 withoutpredictors.Theinterceptestimatecanbeinterpretedas 169 theinfluenceofthepredictorsonthePOSASpatientscoresat3, 170 6and 12 months post-burn. The positiveintercepts implied 171 higherPOSASscorescomparedtothereferencecategory.The 172 slope estimate can be interpreted as the influence of the 173 predictorsonthechangesinthePOSASscoresovertime.Positive 174 slopesindicatehigherdegreeofchangeovertimecomparedto 175 thereference category. An detaileddescription of the study 176 modelandstatisticalanalysescanbefoundinAppendixD.

177

3.

Results

178 3.1. Baselinecharacteristics

179 Atotalof284childrenand190adultpatientswereincludedinthis 180 study.ThepatientscharacteristicsareshowninTable1.There 181 wereno statisticallysignificantdifferences in the totalTBSA 182 (p=0.99,independentt-test),full-thicknessburns(p=0.30, inde-183 pendentt-test),orsurgeriesontheevaluatedscars(p=0.53, chi-184 squaretest)thatwereobservedbetweenthegroupsofpatients 185 whocompletedallthreeevaluations(n=157)andthepatients 186 whocompletedoneortwooftheevaluationsmoments(n=317).

187 3.2. Thefitindicesforthedifferentmodels

188 The fit indices for the different models are presented in 189 AppendixB.Thefitindicesforthemodelwiththetotalscore 190 and the sixpredictors (Appendix A)revealed the following 191 results: The minimum discrepancy (CMIN) was 6.751 with

192

7degrees of freedom (df)and ap-valueof 0.455. Thecomparative

193

fit index (CFI) was 1.00. The root mean square error of

194

approximation(RMSEA)was0.0001withaconfidenceinterval

195

of0.0001–0.055.Thesevaluesofthefitindicesagreewitha

good-196

to-perfect fitwiththetotal scoreandthe sixpredictors.Allofthe

197

modelsthatevaluatedthesixindividualitemshadaperfectfit.

198

Themodelwiththetotalscorewithoutthesixpredictorshada

199

moderatefit,andthemodelswiththeitemsofthicknessor

200

reliefandwithoutthesixpredictorshadapoorfit.

201

3.3. PatternsofchangeinthePOSASpatientscores

202

Theparameterestimatesfortheinterceptandslopesofthe

203

modelthatevaluatedtheseparatetotalPOSASpatientscale

204

scoresandtheseparate6itemswithoutthe6predictorsare

205

showninTable2.TheparameterestimatesforthetotalPOSAS

206

scoresobtainedfromthepredictormodelsarepresentedin

207

Table2andAppendixA.Painhadthelowestseparateintercept

208

score,whichimpliedthatpainhadthelowestitemscoreoutof

209

thesixitemsinthePOSASat3monthspost-burn.Thetotal

210

score and all of the items (except relief) had significant

211

negativeslopes,whichimpliedthattheratesofchangeinthe

212

scoresshowedadecreasingtrend.Thecovariancesbetween

213

thepredictorvariablesofthetotalPOSASpatientscalescors

214

areshowninAppendixC.

215

3.4. Sex

216

MalepatientshadlowertotalPOSASpatientscoresat3,6and

217

12monthspost-burn,withnosignificantdifferenceintherate

Table1–Patientcharacteristics. Q1

Characteristic <18years 18years

Numberofpatients(%) 284(60) 190(40) Sex,n(%)

-Male 186(64.5) 103(54.2)

-Female 98(34.5) 87(45.8)

Ageatburn,medianinyears(range) 2.5(0.7–17.8) 43.2(18.6–85.6) TBSA,median(range)

-Total 7(0.5–76) 7.3(0.5–85) -Fullthickness 1(0.5–75) 3(0.5–60) Causeoftheburn(%)

-Scald 172(60.6) 26(13.7)

-(Flash)flame 70(24.6) 115(60.5)

-Contact 19(6.7) 15(7.9)

-Oil/ fat 20(7.0) 27(14.2)

-Chemical 0(0) 6(3.2)

-Electricity 3(1.1) 0(0)

-Other 0(0) 1(0.5)

Treatmentofevaluatedscar

-Conservativetreatment,n(%) 86(30.3) 31(16.3) -Surgery(skingrafting),n(%) 198(69.7) 159(83.7) Evaluated,n(%)

-At3monthspostburn 224(78.9) 135(71.1) -At6monthspostburn 205(72.2) 122(64.2) -At12monthspostburn 156(55.3) 76(40.0) Totalevaluations,n(%)

-Oneevaluationcompleted 76(26.8) 81(42.6) -Twoevaluationscompleted 101(35.6) 71(37.4) -Threeevaluationscompleted 97(34.2) 38(20.0)

TBSA:totalbodysurfacearea.

burns xxx (2019) xxx–xxx

3

JBUR58071–8

(6)

218 ofchange whencomparedtofemale patients.(Table3)The 219 malepatientshadlowerpainscoresat3and6months post-220 burn,withanequalrateofchangecomparedtofemales.Men 221 tendedtohaveloweritchscoresat3and6monthspost-burn. 222 Nevertheless, the changes in the scores over time were 223 comparable.(Table4A)MalepatientshadhigherPOSASscores 224 forreliefat3and6monthspost-burn,withlowerpliability 225 scoresat6and12monthspost-burn.However,thechangesin 226 the scores were comparable to those observed in female 227 patients(Table4B).

228 3.5. Wounddepth

229 PatientswithfullthicknessburnshadhigherPOSASpatient 230 totalscoresat3monthspost-burnandalowerrateofchange 231 duringthefirst12monthspost-burncomparedtopatientswith 232 partial thickness burns. The total POSAS scores for full 233 thicknessand partialthicknessburnsshowednodifference 234 at12monthspost-burn(Table3).Pruritusscoresat3months 235 weresignificantlyhigherinpatientswithfullthicknessburns 236 thanthoseinpatientswithpartialthicknessburns.Therateof 237 changeinthepruritusscoreswassignificantlylowerinpatients 238 withfullthicknessburns(Table4A).Finally,patientswithfull 239 thickness burns had significantly higher POSAS scores for 240 pliability,thicknessand reliefat3and 6monthspost-burn 241 comparedwithpatientswithpartialthicknessburns(Table4B).

242 3.6. Age

243 TherewasnosignificantdifferenceinthetotalPOSASscores 244 betweenyoungerpatients orpatients who wereolderthan

245

5years.However,patientswhowereyoungerthan5yearshad

246

significantlylowerpruritusscoresat12monthspost-burnand

247

lowerratesofchangecomparedtoolderpatients.(Table4A)

248

Patientsagedbelow5yearshadhigherscarcolor,pliabilityand

249

thicknessscoresat3and6monthspost-burn,whilepatients

250

olderthan18yearshadahigherscarcolorscoresat12months

251

post-burn anda greaterchangeinscoresthanthe younger

252

patients(Table4B).Patientsolderthan18yearshadhigherpain

253

scoresat3,6and12monthspost-burnthanyoungerpatients,

254

butgroupsofpatientshadequalratesofchange.(Table4A)

255

3.7. AetiologyandpercentageofTBSA

256

The covariancesbetweenthe predictor variablesof thetotal Q7

257

POSASpatientscoreareshowninAppendixAandAppendixC.

258

NoeffectsofthepercentageofTBSAorcauseofburnwerefound

259

onthetotalPOSASpatientscale.(Table3)Patientswithflame

260

burnsgenerallyhadsignificantlyhighercolorscoresat3and

261

6monthspost-burn.(Table4A)Patientswithahigherpercentage

262

ofTBSAhadhigherPOSASscoreforreliefat3and6months

post-263

burn.(Table 4B) Pruritus scores at 6 and 12 months post-burn were

264

higherinpatientswithahigherpercentageofTBSAvalues.

265

4.

Discussion

266

Thechange inthe POSASpatient scalescores wasstudied

267

between 3 and 6 months post-burn and between 6 and

268

12monthspost-burn.ThePOSASpatienttotalscoreandallof

269

the itemscoresshowedastatisticallysignificantdeclinein

270

thesetwotimeperiods,exceptforthereliefitem.Thegreatest

Table2–Estimatesoftheintercepts,slopesandcovariancesbetweeninterceptsandslopesofthetotalscoresanditemspain,

pruritus,color,pliability,thicknessandreliefwithoutpredictors.

POSASpatientscale Intercept Slope Covariances

Estimate SE CR P Estimate SE CR p Estimate SE CR p

Totalscore 3months 29.18 0.55 53.25 <0.001 2.02 0.25 8.25 <0.001 2.86 4.56 0.63 0.531

6months 27.16 0.47 57.75 <0.001 1.13 2.94 0.38 0.701

12months 23.12 0.65 35.60 <0.001 2.34 8.83 0.26 0.791

Items:

Pain 3months 2.38 0.10 22.45 <0.001 0.17 0.04 4.26 <0.001 0.07 0.14 0.47 0.637

6months 2.21 0.09 25.01 <0.001 0.01 0.09 0.07 0.942

12months 1.87 0.11 16.75 <0.001 0.15 0.27 0.55 0.581

Pruritus 3months 4.54 0.13 33.81 <0.001 0.49 0.06 8.09 <0.001 0.67 0.26 2.55 0.011

6months 4.05 0.11 36.05 <0.001 0.10 0.18 0.54 0.592

12months 3.07 0.15 19.92 <0.001 1.05 0.51 2.06 0.039

Color 3months 6.94 0.11 64.43 <0.001 0.54 0.06 9.56 <0.001 0.52 0.21 2.52 0.012

6months 6.40 0.09 74.02 <0.001 0.17 0.14 1.27 0.204

12months 5.32 0.14 39.26 <0.001 0.52 0.39 1.32 0.187

Pliability 3months 5.79 0.13 44.66 <0.001 0.47 0.07 7.07 <0.001 0.40 0.30 1.37 0.172

6months 5.33 0.11 50.73 <0.001 0.10 0.19 0.52 0.600

12months 4.40 0.16 27.59 <0.001 0.50 0.58 0.87 0.383

Thickness 3months 5.26 0.13 39.84 <0.001 0.31 0.06 5.06 <0.001 0.08 0.28 0.29 0.770

6months 4.96 0.11 43.61 <0.001 0.10 0.18 0.52 0.601

12months 4.34 0.16 26.80 <0.001 0.12 0.57 0.21 0.832

Relief 3months 5.08 0.13 39.10 <0.001 0.09 0.06 1.34 0.179 0.35 0.29 1.19 0.236

6months 5.00 0.11 47.33 <0.001 0.07 0.19 0.37 0.715

12months 4.82 0.16 30.83 <0.001 0.48 0.57 0.85 0.397

SE,standarderror;CR,criticalratio.

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271 declinewasobservedduringthelongertimeperiodbetween 272 6and12monthspost-burn.Thepainitemscalepresentedthe 273 lowestdeclinescore,andthecoloritemexhibitedthehighest 274 declinescore. Therefore,the painand color itemshad the 275 lowest and highest influences on the total POSAS score, 276 respectively. The low pain scores could be the result of 277 effectivemedicationforpainand/ortheresultofreallowpain 278 valuesinpatientsafter3monthspost-burn.Thehighcolor 279 values represent the importance of color for the patient 280 assessmentofhisorherscars.Patientswiththehighesttotal 281 anditemscorespresentedthelowestchangesduringthe3and 282 6monthspost-burn,thusleadingtothelowestdeclineinthe 283 totalscore.

284 Inourstudy,astrongeffectofsexwasobservedonthetotal 285 POSASpatientscore.Malepatientshadabetterscarquality, 286 whichwascausedbylowerscoreofpruritusandpain,aswell 287 asabetterscoreforpliabilityandreliefcomparedtothescar 288 qualityinfemalepatients.Variousstudieshavedemonstrated 289 higherpain-relatedsymptomsinwomencomparedwithmen 290 [2628].Sexrolebeliefs,paincopingstrategies,pain-related 291 expectationsandevenhormonalfactorsmaypossiblyexplain 292 thedifferenceinpainexperiencebetweenmalesandfemales 293 [29].Inlinewithourstudy,twostudiesobservedhigheritch 294 intensityscoresinwomencomparedtomen,althoughthis 295 phenomenonisnotwellunderstood[10,30].Higherpliability

296

and relief scores in the female group in our study could

297

possibly be explained by the differences in body images

298

betweenmalesandfemales.Ingeneral,womenhaveamore

299

negative body imagecompared to men[31–33].Dyer et al.

300

observedthatwomenwithscarsthatresultedfromaccidents

301

orsurgeriesreportedamorenegativebodyimage[33].

302

PatientswithfullthicknessburnshadhighertotalPOSAS

303

scores,whichwerecausedbyhigherscoresforthepruritus,

304

pliability,thicknessandreliefitems.Otherstudieshavealso

305

described higheritchingscoresforfullthicknessburnsand

306

graftedwounds[10,30,34].Anincreaseinbothmediatorsand

307

neuronal damage are thought to contribute to pruritus

308

symptomsinfullthicknessburns[35].Inourstudy,pruritus

309

diminishedafter3monthspost-burn;afindingthathasbeen

310

previously describedinother studies[10,16]. HigherPOSAS

311

scoresforpliability,thicknessandreliefareexplainedbythe

312

lossofepidermalanddermalstructures.

313

Previousstudieshavefoundthattheageofthepatientdoes

314

notinfluencescarbehavior[6,16,36].Ourresultsareconsistent

315

withthesereportswhenconsideringthetotalPOSASscore.

316

However, thisisnotthecasewhenlookingattheseparate

317

items.Patientswhowereagedbelow5yearshadsignificantly

318

higher scores for color, pliability and thickness at 3 and

319

6monthspost-burn,andthesepatientsalsohadsignificantly

320

lesspruritusat12monthspost-burn.Thefactthatcaretakers

Table3–Regressionweightsandp-valuesofthePOSASpatientscoresandthepredictorsTBSA,burndepth,agecategory, Q2

sexandcauseofburn.

POSASpatientscaletotalscore Estimate SE CR p

Predictors

Sex:male Interceptat3months 3.327 1.138 2.922 0.003

Interceptat6months 3.204 0.973 3.292 <0.001

Interceptat12months 2.959 1.332 2.222 0.026

Slope 0.122 0.504 0.243 0.808

Depth:fullthickness Interceptat3months 3.543 1.283 2.762 0.006

Interceptat6months 1.997 1.097 1.820 0.069

Interceptat12months 1.095 1.501 0.730 0.466

Slope 1.546 0.568 2.722 0.006

Age<5years Interceptat3months 3.130 1.664 1.881 0.060

Interceptat6months 1.673 1.423 1.176 0.240

Interceptat12months 1.242 1.942 0.640 0.522

Slope 1.458 0.735 1.984 0.047

Age>18years Interceptat3months 0.649 1.443 0.450 0.653

Interceptat6months 1.229 1.234 0.996 0.319

Interceptat12months 2.388 1.689 1.414 0.157

Slope 0.580 0.639 0.907 0.364

Cause:flameburns Interceptat3months 1.006 1.490 0.675 0.499

Interceptat6months 0.840 1.272 0.661 0.509

Interceptat12months 0.509 1.719 0.296 0.767

Slope 0.166 0.651 0.255 0.799

TBSA Interceptat3months 0.024 0.044 0.552 0.581

Interceptat6months 0.041 0.037 1.107 0.268

Interceptat12months 0.076 0.051 1.486 0.137

Slope 0.017 0.019 0.893 0.372

SE,standarderror;CR,criticalratio.Referencecategorieswerefemalesex,partialthicknessburns,age5–18years,scaldburns.TBSAwasa continuousvariableinthemodel.

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321 completedthequestionnairesforthepatientsunder5years 322 oldmayhavecontributedtothedifferencesintheoutcomes 323 between theage groups. We did notfindany studiesthat 324 reportedtheinfluenceofageoncolorchangeinburnscars. 325 Furthermore,itshouldbenotedthatdifferentstudieshave 326 describedanegativeassociationbetweenageand hypertro-327 phic scar formation [37]. This finding is supported by the 328 decreased proliferation, reepithelization and inflammatory 329 responsesthatareobservedduringwoundhealing,aswellas 330 theslowerepidermalturnoverandthedifferentremodeling 331 phasethatareobservedinagedindividuals[7,37,38].However, 332 the present study did not investigate hypertrophic scar 333 formation. Finally, patients who were above 18 years had 334 higherpainscoresat3,6and12monthspost-burncompared 335 topatientswhowerebelow18years.

336 ThepercentageofTBSAwasapredictorforthepruritus, 337 thicknessandreliefitemscores.Theeffectofthepercentage 338 of TBSA on pruritus has been well described in various 339 studies.However,thereareconflictingdataontheeffectof 340 thepercentageofTBSAonthedurationofpruritus.VanLoey 341 etal.describedahigherTBSAtobeariskfactorforpruritusat 342 3 months post-burn[10]. The scar tissue modulation and 343 nerve densitywhicharethought tobehighestin thefirst 344 6monthspost-burncould explainthiseffect.However, in 345 linewithotherstudies,wefoundtheeffectofthepercentage

346

ofTBSAtobesignificantevenat12monthspost-burn[30,39].

347

Furthermore, the effect of full thickness burns and the

348

percentageofTBSAonitchingisdifferentthantheeffectof

349

fullthicknessburnsonpain.Painscoreswereobservedtobe

350

thelowestofallthescoreditemsonthePOSASpatientscale.

351

Thiscouldbecausedbyadifferentmechanismorbyabetter

352

treatmentforpain.

353

Scaldinjuriesaremoreoftenobservedinpatientswhoare

354

under5years,whereasfire/flameburnsareobservedmore

355

ofteninolderpatients.Additionally,moremalesthanfemales

356

areadmittedtoburncentres.Fullthicknessburnsandburns

357

withahigherpercentageofTBSAtendtooccurmoreoftenin

358

patientswhoareolderthan18years.Flameburnsaremore

359

oftendeepdermalorfull-thicknessburns.Overall,ourdataare

360

corroborated by the findings of various epidemiological

361

studies[19,40].

362

Our studyhad several limitations.First, the age-related

363

findings ofthepatients whowereunder5yearsshouldbe

364

interpretedwithcaution,giventhatthecaregiverscompleted

365

the questionnaires.Second,nosamplesizecalculationwas

366

performed,giventhelargenumberofincludedpatientsand

367

giventhatthedatawereretrospectivelycollected.However,a

368

samplesizecalculationcouldstillberelevant,basedonthe

369

amountofmissingdata.Third,theextentoftheinfluenceof

370

theexcludedpatientsontheresultsofthecurrentstudyis

Table4A–Regressionweightsandp-valuesoftheitemspain,pruritusandcolorofthePOSASpatientscalefromthe

predictorsTBSA,burndepth,agecategory,sexandcauseofburn.

ItemsPOSASpatientscale Pain Pruritus Color

Predictors Estimate p Estimate p Estimate p

Sex:male Intercept3months 0.730 <0.001 0.676 0.015 0.181 0.419

Intercept6months 0.598 <0.001 0.614 0.009 0.039 0.830

Intercept12months 0.335 0.124 0.489 0.118 0.246 0.375

Slope 0.132 0.117 0.062 0.611 0.143 0.217

Depth:fullthickness Intercept3months 0.125 0.572 0.756 0.016 0.249 0.324

Intercept6months 0.090 0.631 0.374 0.156 0.100 0.624

Intercept12months 0.019 0.939 0.392 0.266 0.200 0.524

Slope 0.035 0.708 0.383 0.005 0.150 0.250

Age<5years Intercept3months 0.070 0.807 0.069 0.866 1.031 0.002

Intercept6months 0.071 0.771 0.316 0.355 0.660 0.012

Intercept12months 0.072 0.822 1.084 0.017 0.082 0.839

Slope 0.000 0.997 0.384 0.031 0.371 0.027

Age>18years Intercept3months 1.282 <0.001 0.480 0.175 0.008 0.978

Intercept6months 1.330 <0.001 0.311 0.294 0.360 0.115

Intercept12months 1.427 <0.001 0.009 0.983 1.065 0.003

Slope 0.049 0.648 0.169 0.275 0.352 0.016

Cause:flameburns Intercept3months 0.303 0.240 0.065 0.858 0.951 0.001

Intercept6months 0.313 0.150 0.027 0.929 0.527 0.025

Intercept12months 0.333 0.236 0.049 0.903 0.320 0.371

Slope 0.010 0.926 0.038 0.810 0.424 0.004

TBSA Intercept3months 0.001 0.854 0.020 0.067 0.001 0.900

Intercept6months 0.002 0.801 0.023 0.011 0.005 0.491

Intercept12months 0.002 0.808 0.029 0.016 0.012 0.254

Slope 0.000 0.948 0.003 0.506 0.004 0.405

Referencecategorieswerefemalesex,partialthicknessburns,age5–18years,scaldburns.TBSAwasacontinuousvariableinthemodel.

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371 unknown, because no data ofthe excluded patients were 372 recorded.Fourth,thereareconflictingdataonwhetherthe 373 POSASscoreisaunidimensionalinstrument.Therefore,the 374 scoresoftheindividualitemscouldbesummedintoatotal 375 score[13,21]. Intheory,the POSASpatientquestionnaireis 376 basedonaformativemodelinwhichtheindividualitemsof 377 the POSAS patient score are causal indicators of the scar 378 quality.Aformativequestionnairecouldconsistofmorethan 379 onedimension.Thustheindividualitemscouldbesummedto 380 afinalscore,forexampleasisdonefortheApgarscore.Finally, 381 theincludedstudypredictorswereobtainedfromtheavailable 382 literature,whereasnosystematicsearchwasperformed.Asa 383 result,theremaybepredictorsthatarenotincludedinthe 384 currentstudy,whichmayberelevantinthecontextofchanges 385 inthePOSASscoresat3,6and12monthspost-burn.

386

5.

Conclusion

387 This retrospective study, the POSAS patient total and 388 individualitemscoresdemonstratedastatisticallysignificant 389 improvementinthefirst12monthspost-burn,exceptforthe 390 relief item. Furthermore, sex, age, depth of the wound, 391 percentage of TBSA and flame burns were predictors of

392

variousPOSASpatientitemsat3,6and12monthspost-burn.

393

However,theeffectofthesepredictorswasnotthesamefor

394

theindividualPOSASpatientitems.

395

Source

of

funding

396

Thisworkwasconductedwithoutexternalfinancialsupport.

397

Conflict

of

interest

398

Noneoftheauthorshaveanypotentialconflictsofinterestto

399

disclose.

400

Uncited

re

ferences

401

[24,25].

402

Acknowledgements

403

None.

Table4B–Regressionweightsandp-valuesoftheitemspliability,thicknessandreliefofthePOSASpatientscalefromthe

predictorsTBSA,burndepth,agecategory,sexandcauseofburn.

ItemsPOSASpatientscale Pliability Thickness Relief

Predictors Estimate p Estimate p Estimate p

Sex:male Intercept3months 0.393 0.138 0.136 0.617 0.520 0.051

Intercept6months 0.545 0.012 0.269 0.252 0.435 0.045

Intercept12months 0.847 0.011 0.537 0.114 0.264 0.421

Slope 0.151 0.262 0.134 0.294 0.085 0.528

Depth:fullthickness Intercept3months 1.151 <0.001 0.797 0.009 1.076 <0.001

Intercept6months 0.682 0.005 0.463 0.080 0.863 <0.001

Intercept12months 0.254 0.497 0.204 0.595 0.438 0.238

Slope 0.468 0.002 0.334 0.020 0.213 0.162

Age<5years Intercept3months 1.333 <0.001 0.953 0.016 0.574 0.141

Intercept6months 0.799 0.012 0.787 0.022 0.453 0.153

Intercept12months 0.267 0.580 0.453 0.360 0.209 0.662

Slope 0.533 0.007 0.167 0.369 0.122 0.536

Age>18years Intercept3months 0.492 0.143 0.026 0.940 0.031 0.928

Intercept6months 0.307 0.264 0.018 0.951 0.147 0.592

Intercept12months 0.062 0.882 0.004 0.993 0.503 0.228

Slope 0.185 0.280 0.007 0.964 0.178 0.299

Cause:flameburns Intercept3months 0.277 0.425 0.514 0.147 0.025 0.942

Intercept6months 0.318 0.262 0.302 0.325 0.153 0.589

Intercept12months 0.400 0.349 0.123 0.780 0.408 0.336

Slope 0.041 0.813 0.212 0.196 0.127 0.465

TBSA Intercept3months 0.004 0.667 0.021 0.042 0.026 0.010

Intercept6months 0.006 0.508 0.015 0.094 0.023 0.006

Intercept12months 0.008 0.541 0.003 0.821 0.016 0.200

Slope 0.001 0.827 0.006 0.212 0.003 0.517

Referencecategorieswerefemalesex,partialthicknessburns,age5–18years,scaldburns.TBSAwasacontinuousvariableinthemodel.

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404

Appendix

A.

Supplementary

data

405 Supplementary material related to this article can be 406 found,intheonlineversion,atdoi:https://doi.org/10.1016/j.

407 burns.2019.03.025.

408

REFERENCES

[1]

409 Stavrou,WeissmanO,TessoneA,ZilinskyI,HollowayS,Boyd

J,etal.Healthrelatedqualityoflifeinburnpatients—areview

410 oftheliterature.Burns2014;40(5):78896.

[2]

411 Falder,BrowneA,EdgarD,StaplesE,FongJ,ReaS,etal.Core 412 outcomesforadultburnsurvivors:aclinicaloverview.Burns

2009;35(5):618–41. [3]

413 vanBaarE,Essink-BotML,OenIM,DokterJ,BoxmaH,van 414 BeeckEF.Functionaloutcomeafterburns:areview.Burns

2006;32(1):1–9. [4]

415 GangemiN,GregoriD,BerchiallaP,ZingarelliE,CairoM, 416 BolleroD,etal.Epidemiologyandriskfactorsforpathologic 417 scarringafterburnwounds.ArchFacialPlastSurg2008;10 418 (2):93102.

[5]

419 BombaroM,EngravLH,CarrougherGJ,WiechmanSA,Faucher

L,CostaBA,etal.Whatistheprevalenceofhypertrophic

420 scarringfollowingburns?Burns2003;29(4):299302.

[6]

421 DeitchA,WheelahanTM,RoseMP,ClothierJ,CotterJ. 422 Hypertrophicburnscars:analysisofvariables.JTrauma

1983;23(10):895–8. [7]

423 Butzelaar , UlrichMM, MinkvanderMolen AB, NiessenB, Beelen

RH. Currently known riskfactors for hypertrophic skin scarring: 424 areview.JPlastReconstrAesthetSurg2016;69(2):1639.

[8]

425 LawrenceW,MasonST,SchomerK,KleinMB.Epidemiology 426 andimpactofscarringafterburninjury:asystematicreviewof 427 theliterature.JBurnCareRes2012;33(1):13646.

[9]

428 Li-TsangW,LauJC,ChanCC.Prevalenceofhypertrophicscar 429 formationanditscharacteristicsamongtheChinese 430 population.Burns2005;31(5):6106.

[10]

431 VanLoeyE,BremerM,FaberAW,MiddelkoopE,Nieuwenhuis

MK.Itchingfollowingburns:epidemiologyandpredictors.BrJ

432 Dermatol2008;158(1):95100. [11]

433 MundyR,MillerHC,KlassenAF,CanoSJ,PusicAL.

Patient-434 reportedoutcomeinstrumentsforsurgicalandtraumatic 435 scars:asystematicreviewoftheirdevelopment,content,and 436Q8 psychometricvalidation.AestheticPlastSurg2016.

[12]

437 DraaijersJ,TempelmanFR,BotmanYA,TuinebreijerWE, 438 MiddelkoopE,KreisRW,etal.Thepatientandobserverscar 439 assessmentscale:areliableandfeasibletoolforscarevaluation. 440 PlastReconstrSurg2004;113(7)19605discussion67.

[13]

441 DeJongM,PhillipsM,EdgarDW,WoodFM.Patientopinionof 442 scarringismultidimensional:aninvestigationofthePOSAS 443 withconfirmatoryfactoranalysis.Burns2017;43(1):5868.

[14]

444 Thepatientandobserverscarassessmentscale(POSAS)..

[15]

445 Tyack,WasiakJ,SpinksA,KimbleR,SimonsM.Aguideto 446 choosingaburnscarratingscaleforclinicalorresearchuse. 447 Burns2013;39(7):134150.

[16]

448 vanderWalB,VloemansJF,TuinebreijerWE,vandeVenP,van 449 UnenE,vanZuijlenPP,etal.Outcomeafterburns:an 450 observationalstudyonburnscarmaturationandpredictors 451 forseverescarring.WoundRepairRegen2012;20(5):67687.

[17]

452 Goei,vanderVliesCH,TuinebreijerWE,vanZuijlenPPM, 453 MiddelkoopE,vanBaarME.Predictivevalidityofshortterm 454 scarqualityonfinalburnscaroutcomeusingthePatientand 455 ObserverScarAssessmentScaleinpatientswithminorto 456 moderateburnseverity.Burns2017;43(4):71523.

457 CubisonC,PapeSA,ParkhouseN.Evidenceforthelink 458 betweenhealingtimeandthedevelopmentofhypertrophic

[18]scars(HTS)inpaediatricburnsduetoscaldinjury.Burns 459 2006;32(8):992–9.

[19]Dokter,VloemansAF,BeerthuizenGI,vanderVliesCH, 460

461

BoxmaH,BreederveldR,etal.Epidemiologyandtrendsin

462

severeburnsintheNetherlands.Burns2014;40(7):1406–14.

[20]VloemansF,DokterJ,vanBaarME,NijhuisI,BeerthuizenGI, 463

464

NieuwenhuisMK,etal.Epidemiologyofchildrenadmittedto

465

theDutchburncentres.Changesinreferralinfluence

466

admittanceratesinburncentres.Burns2011;37(7):1161–7.

[21]vanderWalB,TuinebreijerWE,BloemenMC,VerhaegenPD, 467

468

MiddelkoopE,vanZuijlenPP.RaschanalysisofthePatientand

469

ObserverScarAssessmentScale(POSAS)inburnscars.Qual

470

LifeRes2012;21(1):13–23.

[22]Arbuckle.AMOSTM22user’sguide.IBM;2013. 471 [23]ByrneM.StructuralequationmodelingwithAMOS.Basic 472

473

concepts,applications,andprogramming.Thirded.NewYork &London:Taylor&FrancisGroup;2016.

[24]DiLallaF.Astructuralequationmodelingoverviewformedical 474

475

researchers.JDevBehavPediatr2008;29(1):51–4.

[25]ByrneM,LamWW,FieldingR.Measuringpatternsofchangein 476

477

personalityassessments:anannotatedapplicationoflatent

478

growthcurvemodeling.JPersAssess2008;90(6):536–46.

[26]AnderssonI,EjlertssonG,LedenI,RosenbergC.Chronicpain 479

480

inageographicallydefinedgeneralpopulation:studiesof

481

differencesinage,gender,socialclass,andpainlocalization.

482

ClinJPain1993;9(3):174–82.

[27]ForgaysG,RzewnickiR,OberAJ,ForgaysDK.Headachein 483

484

collegestudents:acomparisonoffourpopulations.Headache 1993;33(4):182–90.

[28]SternbachA.Painand’hassles’intheUnitedStates:findings 485

486

oftheNuprinpainreport.Pain1986;27(1):69–80.

[29]FillingimB.Sex,gender,andpain:womenandmenreallyare 487

488

different.CurrRevPain2000;4(1):24–30.

[30]CarrougherJ,MartinezEM,McMullenKS,FauerbachJA, 489

490

HolavanahalliRK,HerndonDN,etal.Pruritusinadultburn

491

survivors:postburnprevalenceandriskfactorsassociated

492

withincreasedintensity.JBurnCareRes2013;34(1):94–101.

[31]CashF,MorrowJA,HraboskyJI,PerryAA.Howhasbodyimage 493

494

changed?Across-sectionalinvestigationofcollegewomenand

495

menfrom1983to2001.JConsultClinPsychol2004;72(6):1081–9. [32]SmithE,ThompsonJK,RaczynskiJM,HilnerJE.Bodyimage 496

497

amongmenandwomeninabiracialcohort:theCARDIA

498

Study.IntJEatDisord1999;25(1):71–82.

[33]Dyer,Mayer-EckhardL,WhiteAJ,AlpersGW.Theroleofscar 499

500

origininshapingmen’sbodyimage.AmJMensHealth2015;9

501

(2):115–23.

[34]KuipersC,BremerM,BraemL,GoemanneAS,MiddelkoopE, 502

503

vanLoeyNE.Itchinburnareasafterskintransplantation:

504

patientcharacteristics,influencingfactorsandtherapy.Acta

505

DermVenereol2015;95(4):451–6.

[35]Goutos,DziewulskiP,RichardsonPM.Pruritusinburns: 506

507

reviewarticle.JBurnCareRes2009;30(2):221–8.

[36]SchwanholtA,RidgwayCL,GreenhalghDG,StaleyMJ, 508

509

GabouryTJ,MorressCS,etal.Aprospectivestudyofburnscar

510

maturationinpediatrics:doesagematter?JBurnCareRehabil 1994;15(5):416–20.

[37]MahdavianDelavary,vanderVeerM,FerreiraJA,NiessenFB. 511

512

Formationofhypertrophicscars:evolutionandsusceptibility.

513

JPlastSurgHandSurg2012;46(2):95–101.

[38]Stevenson,ThorntonJ.Effectofestrogensonskinaging 514

515

andthepotentialroleofSERMs.ClinIntervAging2007;2

516

(3):283–97.

[39]Willebrand,LowA,Dyster-AasJ,KildalM,AnderssonG, 517

518

EkseliusL,etal.Pruritus,personalitytraitsandcopingin

long-519

termfollow-upofburn-injuredpatients.ActaDermVenereol 2004;84(5):375–80.

[40]Smolle,Cambiaso-DanielJ,ForbesA,WurzerP,Hundeshagen 520 G,BranskiLK,etal.Recenttrendsinburnepidemiology

521

worldwide:asystematicreview.Burns2016.

Figure

Table 1 – Patient characteris tics. Q1
Table 4B – Regression weights and p-values of the items pliability, thickness and relief of the POSAS patient scale from the predictors TBSA, burn depth, age category, sex and cause of burn.

References

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