brazjinfectdis2020;24(3):221–230
w w w . e l s e v i e r . c o m / l o c a t e / b j i d
The
Brazilian
Journal
of
INFECTIOUS
DISEASES
Original
article
A
broad-spectrum
beta-lactam-sparing
stewardship
program
in
a
middle-income
country
public
hospital:
antibiotic
use
and
expenditure
outcomes
and
antimicrobial
susceptibility
profiles
Tiago
Zequinao
a,
Juliano
Gasparetto
a,
Dayana
dos
Santos
Oliveira
a,
Gabriel
Takahara
Silva
a,
João
Paulo
Telles
b,c,
Felipe
Francisco
Tuon
b,∗aSchoolofMedicine,PontifíciaUniversidadeCatólicadoParaná,Curitiba,PR,Brazil
bLaboratoryofEmergingInfectiousDiseases,PontifíciaUniversidadeCatólicadoParaná,Curitiba,PR,Brazil cACCamargoCancerCenter,SãoPaulo,SP,Brazil
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received18January2020 Accepted7May2020 Availableonline3June2020
Keywords: Antimicrobialstewardship Hospitalsetting Tertiarycare Traumaemergency Middle-incomecountry
a
b
s
t
r
a
c
t
Background:Antimicrobialstewardshipprogramsareanefficientwaytoreduce inappropri-ateuseofantimicrobialsandcosts;however,supportingdataarescarceinmiddle-income countries. Theaim ofthisstudy wastoevaluate antibioticuse, bacterialsusceptibility profiles,andtheeconomicimpactfollowingimplementation ofa broad-spectrum beta-lactam-sparingantimicrobialstewardshipprogram.
Methods:An interrupted time-seriesanalysis was performed toevaluate antibiotic use and expenditureovera 24-monthperiod (12monthsbeforetheantimicrobial steward-shipprogramandinthe12monthsafterimplementationoftheantimicrobialstewardship program).Antibioticswereclassifiedintooneoftwogroups:beta-lactamantibioticsand beta-lactam-sparingantibiotics.Wealsocomparedtheantimicrobialsusceptibilityprofiles ofkeypathogensineachperiod.
Results:Beta-lactam antibiotics use decreased by 43.04 days of therapy/1000 patient-days(p=0.04)immediatelyfollowingantimicrobialstewardshipprogramimplementation, whereasbeta-lacta-sparingantibioticsuseincreasedduringtheinterventionperiod(slope change6.17daysoftherapy/1000patient-days,p<0.001).Expendituredecreasedby$2089.99 (p<0.001)immediatelyafterinterventionandwasmaintainedatthisleveloverthe inter-ventionperiod($−38.45;p=0.24).Wealsoobservedthatagreaterproportionofpathogens weresusceptibletocephalosporinsandaminoglycosidesaftertheantimicrobial steward-shipprogram.
Conclusions: The antimicrobial stewardship program significantly reduced the use of broad-spectrum beta-lactam-antibiotics associated witha decrease in expenditureand maintenanceofthesusceptibilityprofileinGram-negativebacteria.
©2020SociedadeBrasileiradeInfectologia.PublishedbyElsevierEspa ˜na,S.L.U.Thisis anopenaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.org/ licenses/by-nc-nd/4.0/). ∗ Correspondingauthor.
E-mailaddress:felipe.tuon@pucpr.br(F.F.Tuon). https://doi.org/10.1016/j.bjid.2020.05.005
1413-8670/©2020SociedadeBrasileiradeInfectologia.PublishedbyElsevierEspa ˜na,S.L.U.ThisisanopenaccessarticleundertheCC BY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).
and SouthAfrica; alsoreferred toas BRICS) accounted for three-quartersoftheglobalincreaseinantibiotic consump-tion inthepastdecade.5 However,onlyasmallnumber of
studieshaveexaminedstrategiestoimproveantibiotic con-sumptioninthesecountries.6,7
Thehighprevalenceofextended-spectrumbeta-lactamase (ESBL)-producing bacteria in hospitals has been observed worldwide.TheprevalenceofESBL-producingEscherichiacoli
andKlebsiellapneumoniaereached17.6%and38.9%inEurope, 8.5%and8.8%inUS,40.8%and21.5%intheAsia-Pacificregion, and 26.8% and 37.7% in South America, respectively.8–10 Consequently,consumptionof“last-resort”antibiotics,such as carbapenems and polymyxins, has increased. Between 2000and2010,theglobalconsumptionofcarbapenemsand polymyxinsincreasedby45%and13%,respectively,5followed
byanincreasingtrenduntil2015.11However,antibiotic
con-sumptionisadeterminantdriverforAMR.12–16
Strategies such as antimicrobial stewardship programs (ASP)appeartobeanefficientwaytoimprove clinicaland microbialoutcomes;suchprogramsaimtoreducethe inade-quateuseofantibioticsandtheassociatedexpenditure.17,18
The aim of this study was to evaluate antibiotic use, the associatedcosts,andthebacterialsusceptibilityprofilesafter implementation of a broad-spectrum beta-lactam-sparing ASP.
Methods
Studydesignandsetting
Thiswas asingle-center,retrospective time-series analysis studyfollowingimplementationofanASPandtheevaluation oftheassociatedimpactonantibioticuse,expenditure,and antimicrobialsusceptibility.Thestudywasconductedthrough aperiodof24months(pre-interventionperiod,July1,2016to June30,2017;andinterventionperiod,August1,2017toJuly 31,2018)atHospitalUniversitárioCajuru(HUC).HUC,inthe cityofCuritiba,Brazil,isa207-bed,tertiarycare,medicaland surgicalacademicteaching hospital,isareferralcenter for traumapatientswithapproximately1100inpatientsand4800 patient-dayspermonth.
Antimicrobialstewardshipprogram
Priortoimplementationofthe ASP,the conceptofrational antibioticusehadalreadyinfluencedstandardpracticeinour
1),and withdrewunnecessaryantibioticsfrom thehospital formulary.A prospectiveauditing andfeedback processfor allantimicrobialprescriptionswasadoptedand,ifnecessary, interventionwasinitiatedwithin24h.TheASPteamworked full-timewiththeclinicalpharmacistandpart-timewiththe infectious disease physicianduring regular officehours on weekdays.Patientsreceivingantibioticswereincludedinthe ASP analysisthroughelectronic datafrom the prescription system.Dose,lengthoftreatmentadjustment,de-escalation, route ofadministration, and side effects were determined undertheguidanceofaclinicalpharmacist.
Theprotocolforempiricaltreatmentofinfectionscaused by Gram-negative bacteria outlines the substitution of beta-lactam antibiotics (BLAs: carbapenems, piperacillin-tazobactam,or thirdand fourth-generationcephalosporins) forbeta-lactam-sparingantibiotics(BLSAs:aminoglycosides orfluoroquinolones).Theseoptionswere basedonthe sus-ceptibilityprofiles to mostlocalGram-negativebacteria. In addition, BLSAsare less expensivethanBLAs, and alterna-tive formulations offluoroquinolones are availablefororal administration.
Assessmentandoutcomes
The primary endpoint was monthly use of antibiotics expressedasdaysoftherapyper1000patient-days(DOT/1000 patient-days) for both the restricted antibiotics (BLA) and theBLSA19periods.Asasecondaryoutcome,monthly
ATM-related coststo the hospitalpharmacyfor thesegroupsof antibioticswasanalyzed.Weusedtheaveragevialortablet purchasecostinUnitedStatesdollars(USD)foreachantibiotic inthetwoperiods.Acomparativeanalysisoftheaverageuse andcostofeachclassofantibioticswasperformedbetween thetwoperiods.Inaddition,thesusceptibilityprofilestoeach of these antibiotics (carbapenems, piperacillin-tazobactam, thirdandfourth-generationcephalosporins,aminoglycosides, andfluoroquinolones)werealsocomparedbetweenperiods; susceptibilityprofilesweregeneratedforGram-negative bac-teriaisolatedfromclinicalsamplesobtainedforthediagnosis ofhospitalinfections.
Statisticalanalysis
To estimate changes in the level and trends in monthly antibioticuseandexpenditure,weusedaninterrupted time-series(ITS)analysis.20ThemodelwasgeneratedinSPSS21.0
base-brazj infect dis.2020;24(3):221–230
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Fig.1–MonthlyantibioticuseexpressedasDOT/1000patient-days.DOT,daysoftherapy;BLA,beta-lactamantibiotics: meropenem,imipenem,ceftriaxone,ceftazidime,cefepime,piperacillin-tazobactam;BLSA,beta-lactam-sparingantibiotics: amikacin,gentamicin,ciprofloxacin,levofloxacin,moxifloxacin.Lineartrendswerefittedtothedataforeachgroupand period.
linetrendslopeandtoestimatechangesinslopeandlevel beforeandafterintervention.21WeusedtheStudent’st-test
orMann–Whitney testtocompareutilization and costsfor eachclassofantibioticsbetweenthe twoperiods.To com-paretheproportionsofsusceptiblebacteria,weusedFisher’s exact test. ThemonthofJuly 2017wasexcluded from the analysesbecauseitwasconsideredatransitionalperiodfor implementationandadjustmentsofantibioticuseprotocols, presentationofthenewinfectiousdiseasephysicianto pre-scribers,andmainlybecauseoftheintroductionofrestrictive formulariesattheendofJuly,whichmayhavebeena con-founderregardingATMuseresults.Forallanalyses,p-values
of<0.05wereconsideredstatisticallysignificant.Alltestswere computedbyusingSPSS21.0 anddescriptivestatistics and graphswereproducedinMicrosoftTMExcel2013.
Results
Antibioticuse
The ITS (Fig. 1) showed that both BLA and BLSA con-sumptionremainedstableduringthepre-interventionperiod (−0.48and−0.17DOT/1000patient-dayspermonth, respec-tively) (Table 1). BLA use decreased by 43.04 DOT/1000 patient-days(p=0.04)immediatelyfollowingASP implemen-tation, whereas BLSA use remained constant. Following ASP implementation, the BLA slope change was not sig-nificantly altered (−3.20 DOT/1000 patient-days, p=0.27), whereas the BLSA use trend increased (slope change 6.17 DOT/1000 patient-days, p<0.001). In a secondary analysis (Table 2), mean overall antibiotic use decreased by 37.82 DOT/1000 patient-days (p=0.002) between pre-intervention and interventionperiods, drivenbya reductioninthe use ofthird-generationcephalosporins(−29.59DOT/1000 patient-days,p<0.001),carbapenems(−22.32DOT/1000patient-days,
p<0.001), and piperacillin-tazobactam (−11.01 DOT/1000 patient-days,p<0.001);incontrast,themeanuseof fluoro-quinolonesincreased(23.22DOT/1000patient-days,p<0.001).
There was no significant change in fourth-generation cephalosporinoraminoglycosideusebetweenperiods. Antibioticexpenditure
Baseline antibiotic expenditure in the first month of the studywas$9162.39(Fig.2)andhadalreadystartedtodecline by$269.65(p<0.001)permonthduringthepre-intervention period (Table 3). After the intervention, antibiotic costs decreasedsharply,by$2089.99(p<0.001),followedbyatrend toward stabilization (slope change, $231.20, p<0.001). The mean monthly overall antibiotic expenditure decreased by 53.62%duringtheinterventionperiod($7336.95vs.$3402.54,
p<0.001); this was particularly influenced by a decline in spending on carbapenems ($3118.08 vs. $1628.44, p<0.001) andfluoroquinolones($1562.17vs.$390.28,p=0.002)(Table4). A significant decrease inexpenditure was observed for all classesofantibiotics,withtheexceptionofaminoglycosides. Microbialsusceptibilityprofiles
During the intervention period, we observed a significant increase in the proportion of Klebsiella spp. isolates that were susceptibletothird-generationcephalosporins (22.5%,
p=0.02)andfourth-generationcephalosporins(20.9%,p=0.03) (Table 5). Similarly, a significantly higher proportion of
Acinetobacter baumanniiisolates demonstrated susceptibility to aminoglycosides during the intervention phase (42.33%,
p<0.001).
Discussion
ThisstudyevaluatedtheimpactofanASPfocusedon reduc-ingtheuseofbroad-spectrumbeta-lactamsinahospitalina middle-incomecountry.Theprogramwasassociatedwithan 11.33%reductionintheoverallantibioticuse.DOTwith broad-spectrum beta-lactams decreasedby anaverage of24.58%, withthechangeobservedimmediatelyafterimplementation oftheASP.Incontrast,useofbeta-lactam-sparingantibiotics
r a z j i n f e c t d i s . 2 0 2 0; 2 4(3) :221–230 374.06) BLA 273.60(242.96, 304.24) −0.48(−4.65,3.70) 0.81 −43.04(−84.13, −1.95) 0.04 −3.19(−9.09,2.71) 0.27 −3.67(−7.83,0.49) 0.08 Carbapenems 52.16(29.33,74.98) −0.18(−3.23,2.87) 0.90 −15.74(−43.96, 12.47) 0.26 −0.78(−5.28,3.72) 0.72 −0.96(−4.01,2.09) 0.52 3rd-gen. cephalosporins 141.65(128.86, 154.44) −0.78(−2.54,0.97) 0.36 −5.84(−23.54,11.87) 0.50 −2.75(−5.16,−0.34) 0.03 −3.54(−5.29,1.78) <0.001 4th-gen. cephalosporins 62.57(48.28,76.87) 1.35(−0.61,3.31) 0.17 −17.65(−37.36,2.05) 0.08 −0.31(−3.02,2.40) 0.81 1.04(−0.92,3.01) 0.28 Pip-taz 16.18(9.38,22.98) −0.74(−1.66,0.18) 0.11 −4.56(−13.51,4.40) 0.30 0.47(−0.84,1.79) 0.46 −0.26(−1.18,0.66) 0.56 BLSA 64.09(52.30,75.88) −0.17(−2.09,1.44) 0.83 −2.97(−19.05,13.11) 0.70 6.17(3.94,8.40) <0.001 5.99(4.38,5.10) <0.001 Aminoglycosides 15.18(9.38,22.98) 1.95(0.87,3.03) <0.001 −26.31(−37.12, −15.51) <0.001 1.54(0.03,3.05) 0.05 3.49(2.40,4.58) <0.001 Fluoroquinolones 48.72(38.92,58.52) −2.09(−3.43,−0.75) <0.001 22.84(9.50,36.18) <0.001 4.64(2.78,6.50) <0.001 2.55(1.21,3.89) <0.001 DOT,daysoftherapy;BLA,beta-lactamantibiotics;BLSA,beta-lactam-sparingantibiotics.
Carbapenems:meropenem,imipenem.3rd-gen.cephalosporins:ceftriaxone,ceftazidime.4th-gen.cephalosporins:cefepime. Pip-taz:Piperacillin-tazobactam.Aminoglycosides:amikacin,gentamicin.Fluoroquinolones:ciprofloxacin,levofloxacin,moxifloxacin.
brazj infect dis.2020;24(3):221–230
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Table2–Comparisonofmeanmonthlyantibioticuse,expressedasDOT/1000patient-days,inthepre-interventionand interventionperiods. Pre-intervention periodmean(SD) Interventionperiod mean(SD) Percentage meanchange (%) p Overallantibiotics 333.69(±27.29) 295.87(±25.60) −11.33 0.002 BLA 270.65(±20.12) 204.12(±25.02) −24.58 <0.001 Carbapenems 51.28(±13.72) 28.97(±11.90) −43.51 <0.001 3rd-gen.cephalosporins 136.18(±13.02) 106.59(±17.23) −21.73 <0.001 4th-gen.cephalosporins 71.64(±12.77) 68.02(±12.36) −5.05 0.489 Pip-taz 11.55(±6.83) 0.54(±1.42) −95.32 <0.001 BLSA 63.04(±12.57) 91.75(±24.57) 45.54 0.002 Aminoglycosides 27.88(±9.86) 33.38(±14.05) 19.73 0.279 Fluoroquinolones 35.16(±12.79) 58.38(±11.34) 66.04 <0.001
DOT,daysoftherapy;BLA,beta-lactamantibiotics;BLSA,beta-lactam-sparingantibiotics.
Carbapenems:meropenem,imipenem.3rd-gen.cephalosporins:ceftriaxone,ceftazidime.4th-gen.cephalosporins:cefepime. Pip-taz:Piperacillin-tazobactam.Aminoglycosides:amikacin,gentamicin.Fluoroquinolones:ciprofloxacin,levofloxacin,moxifloxacin.
Fig.2–Monthlyantibioticexpenditure(USD).Lineartrendswerefittedtothedataforeachperiod.
gradually increasedduring the intervention period, result-inginatotalincreaseof45.54%bytheendofthe12-month intervention.Costsattributedtoantibioticusewerereduced by$3934.41per monthin the interventionperiod(an esti-matedone-yearsavingof$47,212.92).Adownwardtrendin monthlyantibioticexpenditurewasnotedpriortotheformal initiationofASP,attributedtothewithdrawalofintravenous ciprofloxacinfromantibioticsformularythreemonthsbefore theASPwasimplemented(supplementarymaterial2). How-ever,amoresubstantialdropwasobservedimmediatelyafter ASPimplementation, which was sustained throughoutthe interventionperiod.Therewasanincreaseinfluoroquinolone use,althoughexpenditureonfluoroquinolonesdecreasedin theinterventionperiodowingtotheincreasedconsumption oforalformulations.Ahigherproportionofdrug-susceptible Klebsiellaspp. and aminoglycoside-susceptible A. baumannii wereisolatedduringtheinterventionperiod.
Priortothisstudyourhospitalhadlimitedexperiencewith formal programs promotingthe rational use of medicines, beyond standard antibiotic prescription protocols without auditormanagement.Wespeculatedthatthiswasthe rea-sonwhybaselinebroad-spectrumantibioticusewassohigh
and believethat this providedan excellent opportunity to moderate usage. Ourbaselinemean monthly consumption of carbapenems was 51.28 DOT/1000 patient-days, almost double than that reported in hospitals inthe US, and our useofthirdandfourth-generationcephalosporinswasmore thandouble.22Asobservedinsimilarstudiesinhigh-income countries, we have demonstrated success in reducing the use of selected antibiotics and their associated costs. Our interventionresultedinan11.3%reductioninantibioticuse anda53%($3934.41)reductioninassociatedmonthly expen-diture, which was sustained throughoutthe study period. Similarly,Campbelletal.reducedantibioticuseina hospi-talsurgicalwardby12%byapplyinganon-restrictivepolicy; this was accompaniedby a 35–41%reductionin antibiotic costs.23InastudybyBordeetal.,afteranintensive
educa-tionprogramaimedatdiscouragingtheuseofquinolonesand cephalosporins,theassociatedobservedreductionwas14.2% in the medicalwards, witha saving ofD135,000 annually, excludingpersonnelcosts.24AstudybyJenkinsetal.,usinga
semi-restrictivemethodologyforbroad-spectrumantibiotics similartoours,demonstrateda14.2%reductionintotal antibi-oticuseand a30%reductioninthe useofbroad-spectrum
r a z j i n f e c t d i s . 2 0 2 0; 2 4(3) :221–230 BLA 6112.79(5455.00, 6770.58) −63.20(−153.50, 27.07) 0.16 −2037.52(−2945.31, −1129.74) <0.001 −5.55(−129.57, 112.46) 0.93 −68.75(−158.62, 21.12) 0.13 Carbapenems 3065.03(2206.27, 3923.79) 8.40(−110.04,126.84) 0.89 −1171.96(−2376.90, 32.98) 0.06 −76.71(−239.76, 86.34) 0.34 −68.31(−186.87, 50.25) 0.24 3rd-gen. cephalosporins 685.97(596.60, 775.34) −6.58(−18.82,5.66) 0.27 −136.00(−257.72, −14.28) 0.03 1.39(−15.77,18.55) 0.87 5.19(−7.18,17.56) 0.39 4th-gen. cephalosporins 1022.31(768.20, 1276.42) −0.81(−36.10,34.48) 0.96 −283.58(−651.91, 84.75) 0.12 12.83(−35.04,60.70) 0.58 12.01(−24.01,48.03) 0.49 Pip-taz 1289.28(685.84, 1892.72) −65.45(−146.60, 15.70) 0.11 −266.94(−1033.93, 500.05) 0.48 43.58(−74.56,161.72) 0.45 −21.88(−102.44, 58.68) 0.58 BLSA 3023.88(2531.90, 3515.86) −206.33(−273.50, −139.12) <0.001 −4.138(−675.11, 666.84) 0.99 234.62(121.70, 327.53) <0.001 28.28(−38.96,95.53) 0.39 Aminoglycosides 64.93(21.38,108.48) 4.58(−1.30,10.46) 0.12 −91.70(−148.32, −35.08) 0.003 9.96(1.49,18.43) 0.02 14.54(8.64,20.44) <0.001 Fluoroquinolones 2955.32(2454.24, 3456.40) −210.66(−279.11, −142.21) <0.001 92.29(−591.11, 775.69) 0.78 223.64(128.94, 318.34) <0.001 12.96(−55.56,81.48) 0.68
BLA,beta-lactamantibiotics;BLSA,beta-lactam-sparingantibiotics.
Carbapenems:meropenem,imipenem.3rd-gen.cephalosporins:ceftriaxone,ceftazidime.4th-gen.cephalosporins:cefepime. Pip-taz:Piperacillin-tazobactam.Aminoglycosides:amikacin,gentamicin.Fluoroquinolones:ciprofloxacin,levofloxacin,moxifloxacin.
brazj infect dis.2020;24(3):221–230
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Table4–Comparisonofmeanmonthlyantibioticexpenditure(USD)betweenpre-interventionandinterventionperiods.
Pre-intervention periodmean(SD) Interventionperiod mean(SD) Percentagemean change(%) p Overallantibiotics 7336.95(±1260.96) 3402.54(±615.32) −53.62 <0.001 BLA 5679.64(±637.72) 2899.50(±706.59) −48.95 <0.001 Carbapenems 3118.08(±677.26) 1628.44(±634.07) −47.77 <0.001 3rd-gen.cephalosporins 638.73(±81.22) 445.13(±94.96) −30.31 <0.001 4th-gen.cephalosporins 1023.96(±243.60) 791.96(±155.06) −22.66 0.01 Pip-taz 898.87(±556.82) 33.98(±104.82) −96.22 <0.001 BLSA 1657.31(±967.65) 503.04(±215.43) −69.65 0.002 Aminoglycosides 95.14(±31.15) 112.76(±61.37) 18.52 0.39 Fluoroquinolones 1562.17(±983.01) 390.28(±189.70) −75.02 0.002
BLA,beta-lactamantibiotics;BLSA,beta-lactam-sparingantibiotics.
Carbapenems:meropenem,imipenem.3rd-gen.cephalosporins:ceftriaxone,ceftazidime.4th-gen.cephalosporins:cefepime. Pip-taz:Piperacillin-tazobactam.Aminoglycosides:amikacin,gentamicin.Fluoroquinolones:ciprofloxacin,levofloxacin,moxifloxacin.
Table5–Comparisonofantimicrobialsusceptibilityprofilesforkeypathogensinthepre-interventionandintervention periods,presentedasproportionofsusceptibleorganismsforeachclassofantibiotics.
Microorganism-Antibiotic Pre-intervention periodsusceptible,n % Interventionperiod susceptible,n % Difference(%) p-Value Escherichiacoli Aminoglycosides 61/74 82.4 48/51 94.1 11.7 0.06 Carbapenems 74/74 100.0 51/51 100.0 0.0 1.00 3rd-gen.cephalosporins 61/74 82.4 36/51 70.6 −11.8 0.13 4th-gen.cephalosporins 61/74 82.4 37/51 72.5 −9.9 0.19 Fluoroquinolones 56/74 75.7 44/51 86.3 10.6 0.17 Klebsiellaspp. Aminoglycosides 32/63 50.8 33/47 70.2 19.4 0.05 Carbapenems 47/63 74.6 40/47 85.1 10.5 0.24 3rd-gen.cephalosporins 22/63 34.9 27/47 57.4 22.5 0.02 4th-gen.cephalosporins 23/63 36.5 27/47 57.4 20.9 0.03 Fluoroquinolones 26/63 41.3 29/47 61.7 20.4 0.05 Enterobacterspp. Aminoglycosides 43/53 81.1 45/60 75.0 −6.1 0.50 Carbapenems 51/51 100.0 58/60 96.7 −3.3 0.50 3rd-gen.cephalosporins 14/53 26.4 12/54 22.2 −4.2 0.66 4th-gen.cephalosporins 39/53 73.6 41/60 68.3 −5.2 0.68 Fluoroquinolones 40/51 78.4 47/59 79.7 1.2 1.00 Pseudomonasaeruginosa Aminoglycosides 60/79 75.9 33/37 89.2 13.2 0.13 Carbapenems 68/79 86.1 32/37 86.5 0.4 1.00 3rd-gen.cephalosporins 57/79 72.2 28/37 75.7 3.5 0.82 4th-gen.cephalosporins 58/79 73.4 29/37 78.4 5.0 0.65 Fluoroquinolones 63/79 79.7 32/36 88.9 9.1 0.29 Acinetobacterbaumannii Aminoglycosides 18/57 31.6 34/46 73.9 42.3 <0.001 Carbapenems 6/57 10.5 9/46 19.6 9.0 0.26 3rd-gen.cephalosporins 4/57 7.0 9/46 19.6 12.6 0.08 4th-gen.cephalosporins 4/57 7.0 9/46 19.6 12.6 0.08 Fluoroquinolones 5/57 8.8 9/46 19.6 10.8 0.15
agents;thisimpactwasobservedshortlyafterthestartofthe programandwasassociatedwitha27.9%decreasein antibi-oticexpenditure.25
Inasystematicreviewandmeta-analysis,Karanikaetal. evaluatedtheeconomicoutcomesof26studiesandrevealed a19.1%reductionintotalantibioticconsumptionand26.6% reductionintheuseofrestrictedantibiotics,26similartoour
reductionof 24.6%.Although there isan absolute need to reduceantibioticconsumptioninBRICScountries,sofaronly
asmallnumberofstudieshavebeenpublishedonthistopic fromlowtomiddle-incomecountries.Forexample,inastudy conductedinacardiologyhospitalinBrazil,Magedanzetal. demonstrateda25%and69%reductioninantibiotic consump-tionandcost,respectively;thisstudyattributedthesuccessto collaborationbetweentheclinicalpharmacistandinfectious diseasesspecialistandtotheuseofanon-restrictivepolicy.27
We observed that the use of restricted antibiotics in our studyfellimmediatelyafterimplementationoftheASPand
susceptibility of E. coli, Enterobacter spp., and Pseudomonas aeruginosa.Wealsoexpectedanimprovementinsusceptibility tobeta-lactamsinthemajorityofbacteriastrains,especially forcarbapenems,forwhichreductionbetweenperiodswas the greatest. Despite adramatic increase inthe consump-tion offluoroquinolones,we didnot see any worsening in theresistanceprofileofE.coliandK.pneumoniae,whichhas beenreportedinsomestudies.30,31Itisdifficulttorelatethese
results only to the control of antimicrobials, and there is hugevariation betweenstudy models, consumptionof dif-ferent drugs, and follow-up time. Therefore, it is unclear howtheASPimplementationimpactsbacterialsusceptibility profiles.13,16,25,32 Anotherpotentialsourceofbiasrelatedto
thechangeisthemethodforlaboratoryidentificationof bac-teria,whichwaspreviouslyperformedmanuallybymeansof cultureanddisk-diffusionantibiograms,whereasinthe inter-vention period, by automated methods. The susceptibility profileofAcinetobacterspp.toaminoglycosidesincreasedfrom 31%to73%withimplementationoftheASP.Thisfindinghas notbeenreportedelsewhereintheliterature,butweproposed thefollowinghypothesis.Thecarbapenem-resistant Acineto-bacterspp. in ourhospital isendemicand associated with OXA-23carbapenemase.33Resistancetoaminoglycosidescan
bemediatedbymethylases,otheraminoglycoside-modifying enzymes,andeffluxpumps.Themainpumpassociateswith amikacinresistanceistheadeABC.34TheadeABCgeneis
over-expressedbycarbapenem.35 Thus,withadecreaseduse of
carbapenem,it ispossiblethatadeABCgeneisnot overex-pressedandsusceptibilitytoamikacinisthereforeincreased. Althoughthesafetyofaminoglycosideshasbeendiscussed widelyintheliteraturefromtheperspectiveof nephrotoxic-ity,theexchangeofbeta-lactamsforthisclasswasinitially encouragedbythefavorablesusceptibilityprofilesof Gram-negativebacteriatoamikacinandgentamicin.Furthermore, previousstudieshavecorroboratedthesafetyofthesedrugs whenusedinadjusteddosesandwithserummonitoring.36,37
In addition, a new meta-analysis highlighted the associa-tionofacuterenalinjurywithpatientsreceivingconcomitant piperacillin-tazobactam and vancomycin, which reinforced ourexchangestrategy.38
Thisstudyhassomelimitations.First,thecollectionof ret-rospectivedatalimitsthediscussionofresults,especiallyin thecaseofactionsperformedinthepre-interventionperiod. Second,theecologicalstudydesignallowedustohypothesize onASPoutcomes;however,wecannotsaythattheactionsof theprogramweretheonlydriverofresults.Thisisespecially relevantregardingbacterialsusceptibilityprofiles,whichare
In summary, a semi-restrictive ASP based on sparing extended-spectrumbeta-lactamswasaneffectivestrategyfor reducing targetedantibioticconsumptioninahospital set-tingandmaintainingsusceptibilityprofilesinGram-negative bacteria.Thisstudyalsofitswiththeglobaleffortstoreduce inappropriate prescription of last-resortantibiotics, mainly inmiddle-incomecountries,anddemonstratedacost-saving strategythatwasachievablewithasmall,specializedteam.
Funding
Thisresearchdidnotreceiveanyspecificgrantsfromfunding agenciesinthepublic,commercial,ornot-for-profitsectors.
Conflicts
of
interest
Theauthorsdeclarenoconflictsofinterest.
Authors
contributions
TiagoZequinao, Pharm–wrotemanuscriptsand statistical analysis.
JulianoGasparetto–revisedthemanuscriptanddatabase evaluation.
Dayana dos Santos Oliveira – database evaluation and revisedthemanuscript.
GabrielTakaharaSilva–dataevaluation.
João Paulo Telles - database evaluationand revised the manuscript.
FelipeFranciscoTuon–wroteandrevisedthemanuscript.
Appendix
A.
Supplementary
data
Supplementary material related to this article can be found, in the online version, at https://doi.org/10. 1016/j.bjid.2020.05.005.
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