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,caUniversidadeFederaldeUberlândia(UFU),FaculdadedeMedicina,ProgramadePósGraduac¸ãoemCiênciasdaSaúde,Uberlândia, MG,Brazil
bUniversidadeFederaldeUberlândia(UFU),HospitaldeClínicas,Uberlândia,MG,Brazil cInstitutodeCiênciasBiomédicas,Uberlândia,MG,Brazil
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r
t
i
c
l
e
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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/).
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(<35◦C);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
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
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
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
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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