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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

Ventilator-associated

pneumonia:

the

influence

of

bacterial

resistance,

prescription

errors,

and

de-escalation

of

antimicrobial

therapy

on

mortality

rates

Ana

Carolina

Souza-Oliveira

a,b,∗

,

Thúlio

Marquez

Cunha

a,b

,

Liliane

Barbosa

da

Silva

Passos

b

,

Gustavo

Camargo

Lopes

b

,

Fabiola

Alves

Gomes

b

,

Denise

Von

Dolinger

de

Brito

Röder

a,c

aUniversidadeFederaldeUberlândia(UFU),FaculdadedeMedicina,ProgramadePósGraduac¸ãoemCiênciasdaSaúde,Uberlândia, MG,Brazil

bUniversidadeFederaldeUberlândia(UFU),HospitaldeClínicas,Uberlândia,MG,Brazil cInstitutodeCiênciasBiomédicas,Uberlândia,MG,Brazil

a

r

t

i

c

l

e

i

n

f

o

Articlehistory:

Received13October2015 Accepted20June2016 Availableonline26July2016

Keywords:

Ventilator-associatedpneumonia Bacterialresistance

Prescriptionerrors

De-escalationofantibiotictherapy

a

b

s

t

r

a

c

t

Ventilator-associatedpneumoniaisthemostprevalentnosocomialinfectioninintensive careunitsandisassociatedwithhighmortalityrates(14–70%).

Aim: This study evaluated factors influencing mortality of patients with Ventilator-associated pneumonia (VAP), including bacterial resistance, prescription errors, and de-escalationofantibiotictherapy.

Methods:Thisretrospectivestudyincluded120casesofVentilator-associatedpneumonia admitted totheadultadultintensivecare unitoftheFederalUniversityofUberlândia. Thechi-squaretestwasusedtocomparequalitativevariables.Student’st-testwasused forquantitativevariablesandmultiplelogisticregressionanalysistoidentifyindependent predictorsofmortality.

Findings: De-escalationofantibiotictherapyandresistantbacteriadidnotinfluence mor-tality.Mortalitywas4timesand3timeshigher,respectively,inpatientswhoreceivedan inappropriateantibioticloadingdoseandinpatientswhoseantibioticdosewasnotadjusted forrenalfunction.Multiplelogisticregressionanalysisrevealedtheincorrectadjustment forrenalfunctionwastheonlyindependentfactorassociatedwithincreasedmortality.

Conclusion: PrescriptionerrorsinfluencedmortalityofpatientswithVentilator-associated pneumonia,underscoringthechallengeofproperVentilator-associatedpneumonia treat-ment,whichrequirescontinuousreevaluationtoensurethatclinicalresponsetotherapy meetsexpectations.

©2016PublishedbyElsevierEditoraLtda.onbehalfofSociedadeBrasileirade Infectologia.ThisisanopenaccessarticleundertheCCBY-NC-NDlicense(http:// creativecommons.org/licenses/by-nc-nd/4.0/).

Correspondingauthor.

E-mailaddress:[email protected](A.C.Souza-Oliveira).

http://dx.doi.org/10.1016/j.bjid.2016.06.006

1413-8670/©2016PublishedbyElsevierEditoraLtda.onbehalfofSociedadeBrasileiradeInfectologia.Thisisanopenaccessarticleunder theCCBY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Introduction

Althoughtherehavebeenadvancesinpreventing ventilator-associatedpneumonia(VAP),itremainsthemostprevalent nosocomial infection in intensive care units (ICU).1 VAP

impairspatientrecoverybyincreasinglengthof hospitaliza-tion,durationofmechanicalventilation,andhospitalization costs.2Moreover,VAPisassociatedwithhighmortalityrates

(14–70%),whicharehigherininfectionsduetoresistant bacte-ria, inappropriate antimicrobial therapy use, and incorrect antimicrobialprescriptionorde-escalationtherapy.3,4

VAPisoftencausedbyresistantbacteria,whichmaylimit therapeutic options and compromise patient outcomes in clinicalpractice.5

AsVAPisassociatedwithsignificantmorbidityand mor-tality,thechoiceofinitialempirictreatmentshouldtakeinto accounttheriskofinfectionscausedbyresistantorganisms.In addition,properprescriptionofantimicrobialtherapyshould alsoconsiderthetype,dosage,anddurationofdrug adminis-tration.DespitetheavailabilityofguidelinesforVAPdiagnosis andtreatment,therapystillvariessignificantlybetween insti-tutionsandtheoccurrenceofincorrecttherapyprescription isquitehigh,rangingfrom10%to73%.6,7

Theaimof this study was toevaluatefactors influenc-ingthemortalityofpatientsdiagnosedwithVAP,including bacterialresistance,prescriptionerrors,andde-escalationof antimicrobialtherapy.

Methods

Thisretrospectivestudyreviewedmedicalrecordsofpatients admittedtotheadultICUoftheFederalUniversityof Uber-lândia(Adult ICU/UFU),between January1st and July31st, 2013. Thepatients included inthe study were 18 years or older who were diagnosed with VAP. Diagnosis was based on criteria established bythe AmericanThoracic Society and theInfectiousDiseasesSocietyofAmerica,8 including:

mechan-icalventilationfor atleast48hand appearance ofnewor progressivepulmonaryinfiltrateonchestradiographs asso-ciated with at least two clinical signs and/or laboratory changes suggesting an ongoing infection, including fever (>38◦C)orhypothermia(<35C);leukocytosis(>10,000/mm3)

orleukopenia(<4000/mm3);purulenttrachealsecretions;and

oxygenationchanges.

Outofthetotalof467medicalrecordsofpatients admit-tedtotheAdultICU/UFUduringthestudyperiodanalyzed, therewere132casesofVAPin120patients,since12patients hadtwoepisodesofinfection.Inpatientswhohadmorethan oneepisodeofVAP diagnosedduring thestudy period, we includedonlythefirstidentifiedcaseofVAP.Thestudywas approvedbytheEthicsCommitteeoftheFederalUniversity ofUberlândia(protocolnumber775.657)andregisteredasa clinicaltrialsserviceoftheU.S.NationalInstitutesofHealth (protocolnumber30121978).

Medicalrecordswereabstractedtoobtaininformationon patientage,gender,primarydiagnosisatadmission, comor-bidities, prognostic indexes (AcutePhysiology and Chronic Health Disease Classification System II [APACHE II] and

Simplified Acute Physiology Score III [SAPS III]); causative bacteria identified and sensitivity profiles, the characteris-ticsofantimicrobialprescriptions,andoutcome(dischargeor death).

Basedondatainthemedicalrecords,specificsabout pre-scription and administrationofantimicrobialtherapy were obtained, including whether treatment was administered afterhavingobtainedtheresultsofsensitivityprofilingusing quantitativeculture,aswellasde-escalation(interruptionof antimicrobialtreatmentorreplacementbyanantimicrobial withlimited-spectrumcoverage);escalation(additionofanew antimicrobialorreplacementbyabroad-spectrum antimicro-bial);ormaintenance(maintenanceofantimicrobialinitially prescribedorreplacementbyanantimicrobialwiththesame coverageprofile).8

Errorsinantimicrobialprescriptionwereclassifiedas fol-lows: inappropriate choice(different choicefrom literature recommendations); errors in loading or maintenance dose (prescriptionofahigherorlowerdosecomparedtothe indi-cated dose); errors in the interval between doses (higher or lowerinterval betweendosescomparedtotheindicated interval);delayinstartingantimicrobialtherapy(morethan one hour between prescription and administration of the first antimicrobialdose);inappropriate adjustmentforbody weight (nodose correctionbasedon patient weight); inap-propriateadjustmentforrenalfunction;errorsintreatment duration (prescription for shorter or longer duration than theindicatedperiod).Toanalyzetreatmentadequacybased on the literature, we used guideline recommendations for management and health care of adults with nosocomial pneumoniaassociatedwithmechanicalventilationfromthe

AmericanThoracicSociety and theInfectious DiseasesSociety of America.8 The Sanford Guide to Antimicrobial Therapy8 were used as standards for decisions about starting time; dose andindicateddosage;andadjustments,whennecessary,for weightandrenalfunction.9Errorinstartingofantibiotic

ther-apywasdefinedbythe SurvivingSepsisCampaign10 asmore

than one hour between prescription of the first antibiotic dose bythe attendingphysicianand administrationto the patient.

Multidrug-resistantbacteriaweredefinedasbacteria resis-tanttothreeormoreclassesofantimicrobials.Gram-positive bacteria were assessed for oxacillin resistance.9 According

to local characteristics the resistance profile of the Adult ICU/UFUhasbeendefinedasfollows:Staphylococcusaureusand

Staphylococcusepidermidissensitiveornottooxacillin(MRSA),

PseudomonasaeruginosaandAcinetobacterbaumanniiresistant tocarbapenems(imipenemandmeropenem), enterobacteri-aceae(Escherichiacoli,Enterobacterspp,Klebsiellapneumoniaespp, Serratia spp)fortheproductionofbeta-lactamaseextended spectrum(ESBL)andStenotrophomonasmaltophiliaresistantto trimethoprim/sulfamethoxazole.

Statisticalanalysis

Chi-square testwas usedto compare qualitativevariables. Student’sttestwasusedtocomparemeansbetweengroups ofnormallydistributedquantitativevariables.

Multiplelogisticregressionanalysiswasusedtoevaluate mortalityindependentpredictorsintheICU.SPSSStatisticsfor

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Table1–Clinicalcharacteristicsandprognosisbasedonclinicaloutcomesofdischargeordeathamongpatients

diagnosedwithventilator-associatedpneumonia.

Discharge Death p-Value

Age(years) 41±15 61±18 0.000a

Daysofhospitalization(average) 29±19days 47±33days 0.001a

Prognosticindexes

APACHEII(scores) 18.2±7.2 21.7±7.1 0.028a

MortalityAPACHEII(%) 25±18 38±25 0.003a

SAPSIIIAdmission(scores) 57.7±13.3 67.7±15.3 0.001a

MortalitySAPSIIIAdmission(%) 35±20 49±24 0.002a

Diagnosisatadmission n(%) n(%) Neurologic 35(2) 13(11) 0.131 Trauma 26(2) 2(2) 0.001a Respiratory 6(5) 8(7) 0.091 Infectious 5(4) 7(6) 0.101 Cardiovascular 2(1) 10(8) 0.001a Othersb 2(2) 4(3) 0.260 Comorbidities n(%) n(%) Smoking 12(10) 3(4) 0.513 SAH 12(10) 2(2) 0.001a Alcoholism 12(10) 2(2) 0.130 DM 2(3) 7(8) 0.008a Heartdisease 1(1) 7(9) 0.000a Lungdisease 1(1) 4(3) 0.039a

SAH,systemicarterialhypertension,DM,diabetesmellitus;APACHEII,AcutePhysiologyandChronicHealthDiseaseClassificationSystemII; SAPSIII,SimplifiedAcutePhysiologyScoreII.

a p<0.05.

b Burnedandpancreatitis.

Windowswasusedforanalysis,andresultswereconsidered statisticallysignificantwhenp<0.05.

Results

Ofpatientsincludedinthisstudy,32%werediagnosedwith VAPintheAdultICU/UFUduringthestudyperiod.An over-allmortalityrateof35%ofpatientswithVAPwasobserved. Thepatientswerepredominantlymale(74%),withanaverage ageof49±19years,averagetimeofhospitalizationof35±26 days,andaverageadmissionAPACHEIIandSAPSIIIprognostic indexscoresof19.5±7.5and61.9±15,respectively.

Patient clinical characteristics, prognostic index scores, and dischargeor deathoutcomes inthe ICU are shown in

Table 1. The mortality rate was higher in older patients andthosewithhigherprognosticindexscores. Cardiovascu-larfailurewasthemostfrequentreasonforhospitalization (p=0.000).Analysisofcomorbiditiesrevealedasignificant cor-relationbetweendeathanddiabetes(p=0.008),heartdisease (p=0.000),andlungdisease(p=0.039).Theaveragedurationof hospitalizationwas38%higherinthegroupofpatientswho died(p=0.001)(Table1).

Multi-drug resistant microorganisms were detected in 45.6%ofinfections,69.2%ofwhichwerecaused byA. bau-mannii,47.6%byP.aeruginosa,36.7%byS.aureus,and42.3% byextended spectrum ␤-lactamase producing bacteria. No carbapenemase-producingbacteria wereobserved(Table2). Therewasnoobserveddifferenceinmortalityratesamong

Table2–Bacteriologicalprofileofpatientsdiagnosed

withventilator-associatedpneumoniawhowere

admittedtotheadultintensivecareunitoftheHospital

deClinicasoftheFederalUniversityofUberlândia.

Bacteria General Resistant

n % n % Pseudomonasaeruginosaa 42 30.8 20 47.6 Staphylococcusaureusb 30 23.8 11 36.7 Acinetobacterbaumanniia 26 19.0 18 69.2 Serratiasppd 10 7.4 4 40.0 Stenotrophomonasmaltophiliac 10 7.4 0 0.0 Klebsiellapneumoniaesppd 8 5.9 5 62.5 Enterobactersppd 6 4.4 1 15.0 Escherichiacolid 2 1.5 1 50.0 Staphylococcusepidermidisa 2 1.5 1 50.0 Allbacteria 136 100 62 45.6

a Resistanttocarbapenems(imipenemandmeropenem). b Resistanttooxacillin(multidrugresistantStaphylococcusaureus). c Resistanttotrimethoprim/sulfamethoxazole.

d Producersofextended-spectrumbeta-lactamase.In16patients

wereidentifiedmorethanonemicroorganisms.

infectionscausedbyresistantorsusceptibleorganisms(27% vs.46%,p=0.104).

Initialantimicrobialtherapywasmaintained,escalation, andde-escalationin57%,33%,and10%ofcases,respectively. Therewerenodifferencesinmortalityratesamongcasesin

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Table3–Evaluationoffactorsaffectingoutcomesofpatientsdiagnosedwithventilator-associatedpneumonia.

Discharge Death p-Value

n(%) n(%)

Age>60years 11(13.4) 32(13.4) 0.000a

ICUadmission>21days 48(58.5) 33(58.5) 0.106

Prescriptionerrors n(%) n(%) p-Value

Errorinloadingdose 1(1) 4(8) 0.031a

Errorinmaintenancedose 12(15) 11(22) 0.304

Errorintheintervalbetweendoses 18(22) 10(20) 0.964

Delayinstartingantimicrobialtherapy 57(70) 28(56) 0.223

Inappropriateadjustmentforrenalfunction 5(6) 15(30) 0.000a

Errorintreatmentduration 9(89) 4(8) 0.299

Conduct n(%) n(%) p-Value De-escalation 10(12) 2(4) 0.160 Continuation 30(37) 12(24) 0.685 Maintenance 42(51) 32(72) 0.419 Bacteria n(%) n(%) p-Value PseudomonasaeruginosaMRa 9(41) 11(55) 0.087 AcinetobacterbaumanniiMRa 9(64) 9(75) 0.254 StaphylococcusaureusMRb 10(30) 1(20) 0.914

a Resistanttocarbapenems(imipenemandmeropenem).

b Resistanttooxacillin(multidrugresistantStaphylococcusaureus);MR=multidrugresistant;ICU=intensivecareunit.

whichtreatmentwasde-escalatedcomparedtocasesinwhich itwasmaintainedorescalated(16.6%vs.33.3%,p=0.160).

Themostcommonerrorinantimicrobialprescriptionswas delayinstartingtreatment,followedbytheintervalbetween doses.Analysisoftheinfluenceofprescriptionerrorson mor-talityraterevealeda4-foldincreaseinmortalityinpatients whoreceivedaninappropriateloadingdose(p=0.031),anda 3-foldincreasewhenthedosagewasnotadjustedforrenal function(p=0.000)(Table3).

Multiplelogisticregressionanalysisrevealedtheincorrect adjustmentforrenalfunctionwastheonlyindependentfactor associatedwithincreasedmortality(Table4).

Discussion

Although guidelines for VAP treatment are available, it remainsthemostprevalentinfectionintheICUandis asso-ciatedwithhighmortalityrates.3Thehighmortalityratein

patientswith VAPinthis study (35%)is similartorates of 32.1%1and44.3%11reportedinotherBrazilianinvestigations,

aswellasareviewstudyinwhichtheratevariedfrom14%to 70%.12–15

Thehighermortalityratesinolderpatientswerelikelydue toimpairedfunctionalstatuswithadvancingage.This obser-vationwassupportedbyastudyinwhichageover55years wasanindependentpredictor ofmortalityinpatientswith VAP(p=0.005).11 Chronicdiseasessuchasdiabetesmellitus

aswellasheartandlungdiseasewereassociatedwithpoor prognosisofpatientswithVAP.Thisfindingalsoreportedby Resendeet al.,inwhichthepresenceofcomorbiditieswas significantlyassociatedwithmortality(p=0.029).16

ThepredominanceinthisstudyofGram-negativebacteria, includingP.aeruginosaandA.baumannii,issimilartoreports fromothercountriesinSouthAmerica,17theUnitedStates,18

and Turkey.19 VAPisoftenrelatedtohighratesofresistant

bacteria.20Theincidenceofmulti-drugresistantAcinetobacter

andPseudomonasisincreasingandhadbeenassociatedwith increased ICU stays, mechanical ventilation, and possibil-ityofinappropriatetreatmentinpatientsreceivingstandard therapy.5,18,19,21

The lack of association between bacterial resistance and mortality has also been described in the literature22

and can beexplained by differences between study popu-lations, preexisting comorbidities, infection severity, and rate of inappropriate empirical treatment. Several studies have demonstrated that the association betweenmortality and antimicrobialresistancedifferedfrom oursamplewith respecttoage,asweincludedolderpatients,comparedtoan averageageof63.4years23and62.3years,24andwithhigher

rateofcomorbidities.Heartdiseaseand lungdiseases were reportedin25%and20%ofpatients,respectively.24These

find-ingsreinforcetheassociationbetweenincreasingimpairment offunctionalstatuswithage,andthepresenceofchronic dis-eases.

TheSurvivingSepsisCampaignemphasizestheimportance ofdailyreevaluationofantimicrobialtherapybasedon the results ofculture proliferation assays withthe aim of dis-continuingtreatment,whenpossible,toreduceantimicrobial resistance,toxicity,andcosts.10Highrateofantibiotic

mainte-nance(57%ofmaintenancevs43%de-escalationorescalation) has been described in the literature.6 Rello et al.4

consid-eredthelowpercentageoftherapyde-escalationtobedue tothehigh rateofinfection causedbymulti-drugresistant

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Table4–Multiplelogisticregressionanalysisofdeathpredictorsinventilator-associatedpneumoniaintheadult

intensivecareunitoftheHospitaldeClinicasoftheFederalUniversityofUberlândia.

Death CI(95%)

Frequency OR Lowerlimit Upperlimit

Discontinued 02 3.439 0.436 27.100

Errorinloadingdose 04 6.254 0.456 85.725

Errorinmaintenancedose 09 1.232 0.248 6.116

Erroroftheintervalbetweendoses 09 0.391 0.082 1.865

Delayinstartingantimicrobialtherapy 25 0.877 0.284 2.710

Inappropriateadjustmentforrenalfunction 15 8.756 1.803 42.531

Errorinthedurationtreatment 02 0.178 0.023 1.409

Age>60yearsold 29 0.137 0.047 1.398

ICUadmission>21days 18 1.034 0.374 2.883

Pseudomonasaeruginosa 20 0.297 0.082 1.075

Acinetobacterbaumannii 12 0.318 0.079 1.279

Staphylococcusaureus 5 1.367 0.326 5.742

Multi-drugresistantbacteria 20 0.848 0.326 5.742

R2of0.674;OR=oddsratio;CI=confidenceinterval.

bacteriaincludingnon-glucosefermentingstrains(P. aerugin-osaandA.baumannii)thatwerealsoprevalentinoursample population.Althoughintendedtoreducepossible antimicro-bialresistance,toxicity,andcosts,treatmentde-escalationis lesslikelyforinfectionscausedbydrug-resistantinfections, asalsodescribedbyAlvarez-Lermaetal.25Theyreportedthat

reductionoftheinitialspectrumofantibioticsoccurredonly in23%ofpatientsinfectedwithresistantpathogenscompared to 68% ofpatients infectedwith sensitive microorganisms (p<0.001).

AmulticenterstudyconductedintheUnitedStates,6 as

well as investigations carried out in Spain4 and Greece,26

foundthat mortality rates were significantly reduced after de-escalationofantibiotic treatment. However,subsequent investigations,includingourstudy,didnotfindany correla-tionbetweentreatmentde-escalationandpatientmortality.25

Thedifferentresultsafterevaluatingtheinfluenceoftherapy de-escalationonmortalitywerepossiblyduetoconfounding factors.Amongtheseis thedifficulty indistinguishing the influenceonmortalityratesduetotreatmentde-escalation itself or administration an appropriate therapy, since a correlation between appropriate therapy and higher de-escalationrateshasbeenobserved.27Inonestudy,Giantsou

etal.26 includedonlypatientsreceivingappropriatetherapy

and observedsignificantly lower mortalityrates after ther-apyde-escalationcomparedtomaintenance.Differencesin antimicrobialsusceptibility mayalsoexplaindifferent mor-talityrates, as observedina multicenter study that found significantlylowermortalityrateswhentherapywas discon-tinued(p=0.001).However,therateofinfectionbyresistant bacteriawasmuchlowerthaninourstudy,whichmighthave influencedthedifferencesinobservedresults.6

Errorinstartingantibioticadministration, themost fre-quentlydetectederror inourstudy,probably occurreddue toalackofcommunicationbetweenmultidisciplinaryteams to immediately initiate the antibiotic as soon as VAP was diagnosed. The complex system of drug prescription also includedothercircumstancesthatcontributetoerrors,such aslackofattention,excessive workload,lackof communi-cationbetweenteams, andlackofknowledgeand training

ofprescribingphysicians.Errorsinprescribingantimicrobial agents cause short- and long-term consequences that are notjustrestricted toindividuals:theycan leadnotonlyto inadequate clinical response and increased morbidity and mortality,butalsoinvolvethecommunitybycontributingto increasedbacterialresistance.28Thelackofincreased

mortal-ityinpatientswithdelayedstartofantibiotictreatmentinthis studydisagreedwithotherreportsemphasizingthe relation-shipbetweenearlyadministrationofantibioticsandreduced mortality,asreportedbyLevyetal.,29 inwhichthe

admin-istrationofantibioticswithinthefirsthourafterdiagnosisof severesepsisandsepticshockreducedthemortalityratefrom 37%to30.8%(p=0.001).

Inthis study,prescriptionofinappropriateantimicrobial loadingdosesandnotadjustingdosageforrenalfunctionwere determinantfactorsrelatedtoincreasedmortality.The4-fold increasedmortality(p=0.031)observedinpatientswith inap-propriate loadingdose was probably dueto aninability to reachproperantimicrobialconcentrationsatthetargetsite. Thelackofknowledgeandattentionintheinitial administra-tionofhigherdosesoratshorterintervalsweredeterminant forthedevelopmentofunfavorableoutcomesamongthese patients.

Althoughrenalfunctionwasevaluateddailyintheadult ICUoftheFederalUniversityofUberlândia,asignificant num-beroferrorsinadjustingforrenalfunctioncauseda3-fold increase in mortality rate (p=0.000). In addition, incorrect adjustmentforrenalfunctionwastheonlyindependentfactor associatedwithmortalityinthemultiplelogisticregression analysis.Thiserrorwasprobablyduetoalackofattentionto adjustforcurrentcreatinineclearance,easeofcopying elec-tronic prescriptions from the previous day, and negligence in prescribinganextra dose afterhemodialysis. The nega-tiveinfluenceontheoutcome ofthesepatientswasdueto thedeleteriouseffectsinducedbytoxiclevelsofantimicrobial agentswhentheindicateddosewasnotreduced,ornotto reachtheappropriatetherapeuticlevelwhentheextradose afterhemodialysiswasnotrecommended.Thesefactorswere describedbyCarneiroetal.,30whoreportedaveryhighrate

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Prescription errors influenced the mortality rates of patientswithVAP,underscoringthechallengeofproperVAP treatment,whichrequirescontinuousreevaluationtoensure thatclinicalresponsetotherapymeetsexpectations.

Thelimitationofthisstudyisduetoretrospectivedesign, sincethe data were obtained from informationabstracted frommedicalrecords.

Conclusions

Inconclusion,thisstudyobservedthatde-escalationof antibi-otictherapyandVAPduetoresistantbacteriadidnotinfluence mortalityrates.Inappropriateloadingdoseandlackof adjust-mentforrenalfunctionweremorefrequentinpatientswho died.Multiplelogisticregressionanalysisrevealedthe incor-rectadjustmentforrenalfunctionwastheonlyindependent factorassociatedwithincreasedmortality.

Conflicts

of

interest

Theauthorsdeclarenoconflictsofinterest.

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