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Educational slide resource kit Supported by an educational grant from AstraZeneca February 2004 © Academy for Infection Management 2004 (All Rights Reserved) Contents • Academy for Infection Management (AIM) concept, objectives and core principles • Use of appropriate antibiotics early in nosocomial infections: reviewing the evidence • Pharmacokinetic/pharmacodynamic considerations for antibiotic therapy and clinical implications • Importance and mechanisms of antibiotic resistance • Impact of inappropriate antibiotic treatment on health economic outcomes Educational slide resource kit AIM concept, objectives and core principles AIM concept and objectives Concept • Use of appropriate antibiotics early in nosocomial infections to improve outcomes (mortality, morbidity and length of stay in hospital) Objectives • Provide a global educational resource for physicians (infectious disease specialists, surgeons, chest physicians, microbiologists) involved in the treatment of nosocomial infections • Share best clinical practice • Share the latest clinical and scientific data on nosocomial infection management with regard to improving patient outcomes AIM core faculty • Marin H Kollef (Chairperson) • Gilbert R Park • Philip S Barie • David Paterson • John Bradley • Giovanni Di Perri • Mark A Malangoni • Jordi Rello • Robert G Masterton • Andrew Shorr • John E McGowan Jr • Norbert Suttorp • Peggy S McKinnon • Jose M Tellado • David P Nicolau • Tobias Welte • Michael S Niederman • Martin J Wood AIM educational programme: core principles • Multidisciplinary faculty have developed the core principles of the Academy, which concern the following topics: – patient outcomes – antibiotic choice – resistance – infection control AIM core principles Patient outcomes • Select the most appropriate antibiotic depending on the patient, risk factors, suspected infection and resistance Antibiotic choice • It is important to start with the appropriate empiric antibiotic first in nosocomial infections • Administer antibiotics at the right dose for the appropriate duration • If appropriate, change antibiotic dosage or therapy based on resistance and pathogen information AIM core principles Resistance • Recognise that prior antimicrobial administration is a risk factor for the presence of resistant pathogens • Know the unit’s resistance profile and choose antibiotics accordingly Infection control • Wash hands adequately and wear gloves appropriately • Remove indwelling devices as soon as they are no longer indicated AIM educational programme: delivery vehicles • Global educational summit meetings • Regional, national and local meetings • Core principles and supporting evidence • Case studies (slides and key question workmats) – intensive care, hospital-acquired pneumonia, serious surgical infections • Educational slide resource kit and paper summaries • Antibiotic policy workshop – exercise to examine the external constraints that influence hospital antibiotic guidelines policy • Website (www.infectionacademy.org) – provides access to all educational materials Educational slide resource kit Use of appropriate antibiotics early in nosocomial infections: reviewing the evidence Potential consequences of inappropriate antibiotic therapy • Inappropriate empiric antibiotic therapy can lead to increases in: – mortality – morbidity – length of hospital stay – cost burden – resistance selection Inappropriate antibiotic therapy • Inappropriate antibiotic therapy can be defined as one or more of the following: – ineffective empiric treatment of bacterial infection at the time of its identification – the wrong choice, dose or duration of therapy – use of an antibiotic to which the pathogen is resistant Evidence of improved clinical outcomes with appropriate empiric antibiotic therapy • A number of studies have demonstrated the benefits of early use of appropriate empiric antibiotic therapy for patients with nosocomial infections • Several key clinical studies are reviewed in the following slides Inappropriate antibiotic therapy is a risk factor for mortality among patients in the intensive care unit (ICU) • Infection-related mortality rates were assessed in a prospective cohort, single-centre study of 2000 patients admitted to medical/surgical ICUs • 655 patients had a clinically recognised infection: – 442 (67.5%) had a community-acquired infection – 286 (43.7%) developed a nosocomial infection – 73 (11.1%) had both community-acquired and nosocomial infections • 169 (25.8%) patients received inappropriate initial antimicrobial treatment Kollef et al. Chest 1999;115:462–474 Inappropriate antibiotic therapy is a risk factor for mortality among patients in the ICU Hospital mortality (%) 60 p<0.001 Inappropriate therapy Appropriate therapy p<0.001 50 40 30 20 10 0 All causes Infectious disease-related Mortality type Kollef et al. Chest 1999;115:462–474 Appropriate antibiotic therapy reduces mortality and complications in patients with nosocomial pneumonia • The frequency of and reasons for changing empiric antibiotics during the treatment of hospital-acquired pneumonia were assessed in a prospective multicentre study across 30 Spanish hospitals • Of the 16 872 patients initially enrolled, 530 developed 565 episodes of pneumonia after ICU admission • Empiric antibiotics (administered in 490 [86.7%] of episodes) were modified in 214 (43.7%) cases because of: – isolation of micro-organism not covered by treatment (62.1%) – lack of clinical response (36.0%) – development of resistance (6.6%) Alvarez-Lerma et al. Intensive Care Med 1996;22:387–394 Appropriate antibiotic therapy reduces mortality and complications in patients with nosocomial pneumonia Attributable mortality Appropriate therapy (n=284) Inappropriate therapy (n=146) p-value 16.2% 24.7% 0.04 2.25 ± 1.98 <0.001 No. complications/patient 1.73 ± 1.82 Shock 17.1% 28.8% <0.005 Gastrointestinal bleeding 10.7% 21.2% 0.003 Respiratory failure 24.9% 32.2% NS Multiple organ failure 12.5% 21.2% NS Extrapulmonary infection 13.2% 17.1% NS Alvarez-Lerma et al. Intensive Care Med 1996;22:387–394 Appropriate early antibiotic therapy reduces mortality rates in patients with suspected ventilator-associated pneumonia (VAP) (Study 1) • A prospective observation and bronchoscopy study of patients with VAP assessed the impact of bronchoalveolar lavage (BAL) data on the selection of antibiotics and clinical outcomes in a medical/surgical ICU • 132 mechanically ventilated patients (hospitalised >72 hours) with clinically confirmed VAP underwent BAL within 24 hours of diagnosis – 107 patients received antibiotics prior to bronchoscopy – 25 patients received antibiotics immediately after bronchoscopy • Mortality rates were assessed in relation to the adequacy and time of initiation of antibiotic therapy Luna et al. Chest 1997;111:676–685 Appropriate early antibiotic therapy reduces mortality rates in patients with suspected VAP (Study 1) Mortality (%) 100 p<0.001 80 No antibiotic Appropriate antibiotic Inappropriate antibiotic 60 40 20 0 Pre-BAL Post-BAL Post-culture result Luna et al. Chest 1997;111:676–685 Appropriate early antibiotic therapy reduces mortality rates in patients with suspected VAP (Study 2) • A prospective study of 113 patients with VAP assessed the utility of microbiological investigations in guiding/modifying antibiotic prescription and their influence on clinical outcome • Microbial investigations included: – blood culture (78.7% of cases) – culture of protected brush specimens (95.5% of cases) – BAL culture (45.5% of cases) • Immediately after diagnosis, empiric antibiotic therapy was either initiated or modified • Antibiotic therapy could subsequently be changed based on culture and susceptibility studies Rello et al. Am J Respir Crit Care Med 1997;156:196–200 Appropriate early antibiotic therapy reduces mortality rates in patients with suspected VAP (Study 2) Mortality (%) 40 p<0.05 30 • Excess mortality caused by inappropriate initial therapy was estimated to be 21.4% (95% CI, 43.2 to -0.03) 20 10 0 Appropriate initial antibiotic Inappropriate initial antibiotic Rello et al. Am J Respir Crit Care Med 1997;156:196–200 Appropriate early antibiotic therapy reduces mortality rates in patients with suspected VAP (Study 3) • The influence of initially delayed appropriate antibiotic therapy (IDAAT) was assessed in a study of 107 patients with VAP in a medical ICU • All 107 patients received an antibiotic shown to be active in vitro against the bacterial pathogens isolated from respiratory secretions: – 33 patients received treatment that was delayed for 24 hours (mean SD; 28.6 5.8 hours) after meeting diagnostic criteria for VAP (classified as receiving IDAAT) – 74 patients received treatment within 24 hours (mean SD; 12.5 4.2 hours) of meeting diagnostic criteria for VAP • Independent risk factors for hospital mortality were assessed Iregui et al. Chest 2002;122:262–268 Appropriate early antibiotic therapy reduces mortality rates in patients with suspected VAP (Study 3) Mortality (%) 80 p<0.01 60 Early appropriate antibiotic treatment Initially delayed antibiotic treatment p<0.001 40 20 0 Hospital mortality Mortality attributed to VAP Iregui et al. Chest 2002;122:262–268 Appropriate early antibiotic therapy reduces mortality rates and length of hospital stay in patients with bloodstream infection (Study 1) • An observational prospective cohort study of patients with bloodstream infection examined whether appropriate antibiotic therapy improved survival rate • Of the 3413 evaluable patients, 2158 (63%) received early appropriate antibiotics – defined as starting within 2 days of the first positive blood culture, and if the causative pathogen was susceptible in vitro to the administered drug • Mortality rates and median duration of hospital stay for surviving patients were determined Leibovici et al. J Intern Med 1998;244:379–386 Appropriate early antibiotic therapy reduces mortality rates and length of hospital stay in patients with bloodstream infection (Study 1) Mortality rate Median duration of hospital stay Appropriate therapy (n=2158) Inappropriate therapy (n=1255) p-value 20.2% 34.4% 0.0001 9 days (range 0–117) 11 days (range 0–209) 0.0001 Leibovici et al. J Intern Med 1998;244:379–386 Appropriate early antibiotic therapy reduces mortality rates in patients with bloodstream infection (Study 2) • A prospective cohort study evaluated the relationship between adequacy of antibiotic treatment for bloodstream infections and clinical outcomes among patients admitted to a medical/surgical ICU • 492 patients identified as having a bloodstream infection were included in the analysis: – 193 (39.2%) had a community-acquired infection – 291 (59.1%) developed a nosocomial infection – 8 (1.6%) had a community-acquired infection followed by nosocomial infection • Hospital mortality rates were determined Ibrahim et al. Chest 2000;118:146–155 Appropriate early antibiotic therapy reduces mortality rates in patients with bloodstream infection (Study 2) Mortality (%) 70 p<0.001 60 50 40 30 20 10 0 Appropriate initial antibiotic Inappropriate initial antibiotic Ibrahim et al. Chest 2000;118:146–155 Appropriate early antibiotic therapy reduces mortality rates in patients with bloodstream infection (Study 3) • 843 episodes of positive blood cultures from 707 patients with septicaemia were reviewed in a retrospective analysis • Appropriate antibiotic therapy and septicaemiaassociated mortality rates were assessed at three timepoints: – on initiation of empiric therapy – after a positive culture was reported – after pathogen susceptibility results were available • 78% of patients received appropriate antibiotic therapy at all timepoints Weinstein et al. Clin Infect Dis 1997;24:584–602 Appropriate early antibiotic therapy reduces mortality rates in patients with bloodstream infection (Study 3) Mortality (%) 35 30 RR = 3.18 RR = 2.46 25 20 15 10 RR = 1.0 5 65/620 0 Appropriate therapy at all timepoints RR = relative risk of death 8/31 3/9 Appropriate therapy only after susceptibility determined Inappropriate therapy at all timepoints Weinstein et al. Clin Infect Dis 1997;24:584–602 Summary • Clinical evidence suggests that early use of appropriate empiric antibiotic therapy improves patient outcomes in terms of: – reduced mortality – reduced morbidity – reduced duration of hospital stay Educational slide resource kit Pharmacokinetic/pharmacodynamic considerations for antibiotic therapy and clinical implications Pharmacokinetic/pharmacodynamic considerations • The goal of antibiotic therapy is to achieve complete bacterial eradication and to minimise the risk of resistance selection • The dosing regimen for a particular antibiotic is influenced by its pharmacokinetic (PK) profile and the susceptibility of the target pathogen • PK/pharmacodynamic (PD) models can be used to predict bacteriological and clinical efficacy and help to identify the correct dose and dosing interval PK/PD considerations • The bactericidal activity of an antibiotic can be time or concentration dependent • Bacteriological efficacy also depends on the persistence of the drug effect after serum levels have fallen below the minimum inhibitory concentration (MIC) for the target pathogen (post-antibiotic effect [PAE]) • Prolonged exposure to suboptimal concentrations of antibiotics can lead to incomplete bacterial eradication and selection of resistance • Penetration into target tissues is very important PD profiling of antibiotics • Time-dependent killing – time above MIC (T>MIC) • Concentration-dependent killing – area under the concentration–time curve (AUC):MIC ratio – peak serum concentration (Cmax):MIC ratio • PAE PK/PD parameters affecting antibiotic efficacy in vivo Concentration Cmax:MIC AUC:MIC MIC T>MIC 0 PAE Time (hours) PD parameters predictive of outcome Parameter correlating with efficacy T>MIC AUC:MIC Cmax:MIC Penicillins Cephalosporins Carbapenems Macrolides Azithromycin Fluoroquinolones Ketolides Fluoroquinolones Aminoglycosides Organism kill Time-dependent Concentrationdependent Concentrationdependent Therapeutic goal Maximise exposure Maximise exposure Examples Optimise duration of exposure Drusano & Craig. J Chemother 1997;9:38–44 Drusano et al. Clin Microbiol Infect 1998;4 (Suppl. 2):S27–41 Vesga et al. 37th ICAAC 1997 Aminoglycosides • Cmax:MIC 10 translates into improvements in the rate and extent of clinical response • Once-daily administration is advocated to maximise efficacy and minimise potential drug accumulation and toxicity Moore et al. J Infect Dis 1987;155:93–99 Kashuba et al. Antimicrob Agents Chemother 1999;43:623–629 Nicolau et al. Antimicrob Agents Chemother 1995;39:650–655 Fluoroquinolones • For nosocomial pneumonia treated with ciprofloxacin, AUC:MIC >125 results in clinical cure and bacteriological eradication rates >80% • For community-acquired pneumonia treated with levofloxacin or gatifloxacin, AUC:MIC >34 improves probability of pneumococcal bacteriological eradication Forrest et al. Antimicrob Agents Chemother 1993;37:1073–1081 Ambrose et al. Antimicrob Agents Chemother 2001;45:2793–2797 -Lactams • High or frequent dosing is used to optimise T>MIC and improve clinical response and bacteriological eradication – may incur increased labour and drug costs • Based on PD profiling, the antibiotic with the best in vivo potency can be selected by integrating available microbiological potency data and the PK profile of the agent(s) concerned • Prolongation of administration can enhance the PD profile of these agents Nicolau et al. Antimicrob Agents Chemother 2000;44:1291–1295 Craig & Andes. Pediatr Infect Dis J 1996;15:255–259 Schentag et al. Am J Med 1984;77:43–50; Grant et al. Pharmacotherapy 2002;22:471–483 -Lactams: optimising exposure • The optimum level of exposure varies for different agents within the -lactam class: approximately T>MIC of: ~ 60–70% for cephalosporins ~ 50% for penicillins ~ 40% for carbapenems Drusano. Clin Infect Dis 2003;36(Suppl. 1):S42–S50 Resistance prevention • Use PK/PD considerations to optimise the bacterial killing potential of antibiotic therapy • Dead bugs don’t mutate! Probability of developing resistance Probability of remaining susceptible (%) 100 AUC0–24h:MIC 100 80 60 40 Data from 107 acutely ill patients with nosocomial RTIs treated with 5 different antibiotic regimens (ciprofloxacin, cefmenoxime, ceftazidime, ciprofloxacin plus piperacillin, ceftazidime plus tobramycin) 20 0 0 5 10 15 Days from initiation of therapy AUC0–24h:MIC <100 20 Thomas et al. Antimicrob Agents Chemother 1998;42:521–527 Summary • PK/PD considerations provide the opportunity for clinicians to prescribe currently available antibiotics according to regimens that maximise bacteriological eradication and clinical outcomes and minimise resistance selection, ie administration of appropriate antibiotics at the right dose for the appropriate duration Educational slide resource kit Importance and mechanisms of antibiotic resistance Antibiotic resistance considerations • Antibiotic resistance is an increasingly important problem to consider when managing nosocomial infections • This section of the slide kit is intended to provide a background to: – epidemiology of antibiotic resistance – antibiotic mode of action – mechanisms of antibiotic resistance, with a focus on -lactam resistance – clinical impact of resistance Epidemiology of antibiotic resistance • The frequency of detection of antibiotic-resistant pathogens in nosocomial infections has increased at an alarming rate over the past few years • 50–60% of the >2 million nosocomial infections occurring in the USA each year are caused by antibiotic-resistant bacteria • The high rate of antibiotic resistance increases morbidity, mortality and costs associated with nosocomial infections Jones. Chest 2001;119:397S–404S Weinstein. Emerg Infect Dis 1998;4:416–420 Antibiotic mechanisms of action • Antibiotic mode of action falls into the following categories: – cell wall synthesis inhibitors – protein synthesis inhibitors – nucleic acid synthesis inhibitors – cytoplasmic membrane function inhibitors – other agents that affect DNA Cell wall synthesis inhibitors • Antibiotics that inhibit bacterial cell wall synthesis include: – -lactams: penicillins, cephalosporins, carbapenems, monobactams – glycopeptides: vancomycin, teicoplanin – cycloserine – bacitracin Protein synthesis inhibitors • Antibiotics that inhibit bacterial protein synthesis include: – aminoglycosides: gentamicin, tobramycin, amikacin, netilmicin, streptomycin – tetracyclines – MLS group: macrolides (eg erythromycin), lincosamides, streptogramins (eg quinupristin–dalfopristin) – chloramphenicol – fusidic acid – oxazolidinones Nucleic acid synthesis inhibitors • Antibiotics that inhibit bacterial nucleic acid synthesis include: – precursor synthesis inhibitors: sulphonamides, trimethoprim – DNA replication inhibitors: quinolones – RNA polymerase inhibitors: rifampicin Other antibacterial agents • Antibiotics with a mode of action that does not fit into any of the previous categories include: – cytoplasmic membrane function inhibitors: polymixins – other agents that affect DNA: nitroimidazoles Resistance to antibacterial agents • Antibiotic resistance either arises as a result of innate consequences or is acquired from other sources • Bacteria acquire resistance by: – mutation: spontaneous single or multiple changes in bacterial DNA – addition of new DNA: usually via plasmids, which can transfer genes from one bacterium to another – transposons: short, specialised sequences of DNA that can insert into plasmids or bacterial chromosomes Mechanisms of antibacterial resistance (1) • Structurally modified antibiotic target site, resulting in: – reduced antibiotic binding – formation of a new metabolic pathway preventing metabolism of the antibiotic Structurally modified antibiotic target site Antibiotics normally bind to specific binding proteins on the bacterial cell surface Antibiotic Binding Target site Cell wall Interior of organism Structurally modified antibiotic target site Antibiotics are no longer able to bind to modified binding proteins on the bacterial cell surface Antibiotic Modified target site Cell wall Changed site: blocked binding Interior of organism Mechanisms of antibacterial resistance (2) • Altered uptake of antibiotics, resulting in: – decreased permeability – increased efflux Altered uptake of antibiotics: decreased permeability Antibiotics normally enter bacterial cells via porin channels in the cell wall Antibiotic Porin channel into organism Cell wall Interior of organism Altered uptake of antibiotics: decreased permeability New porin channels in the bacterial cell wall do not allow antibiotics to enter the cells Antibiotic New porin channel into organism Cell wall Interior of organism Altered uptake of antibiotics: increased efflux Antibiotics enter bacterial cells via porin channels in the cell wall Antibiotic Porin channel through cell wall Entering Entering Cell wall Interior of organism Altered uptake of antibiotics: increased efflux Once antibiotics enter bacterial cells, they are immediately excluded from the cells via active pumps Antibiotic Porin channel through cell wall Entering Exiting Cell wall Interior of organism Active pump Mechanisms of antibacterial resistance (3) • Antibiotic inactivation – bacteria acquire genes encoding enzymes that inactivate antibiotics • Examples include: – -lactamases – aminoglycoside-modifying enzymes – chloramphenicol acetyl transferase Antibiotic inactivation Inactivating enzymes target antibiotics Antibiotic Enzyme Binding Target site Cell wall Interior of organism Antibiotic inactivation Enzymes bind to antibiotic molecules Enzyme binding Antibiotic Enzyme Binding Target site Cell wall Interior of organism Antibiotic inactivation Enzymes destroy antibiotics or prevent binding to target sites Antibiotic destroyed Antibiotic altered, binding prevented Antibiotic Enzyme Target site Cell wall Interior of organism Many pathogens possess multiple mechanisms of antibacterial resistance Modified target Altered uptake Drug inactivation -lactam + + ++ Glycopeptide + Aminoglycoside – + ++ Tetracycline – + Chloramphenicol – Macrolide ++ Sulphonamide ++ – Trimethoprim ++ – Quinolones – + + Focus on -lactam antibiotic resistance mechanisms • Three mechanisms of -lactam antibiotic resistance are recognised: – reduced permeability – inactivation with -lactamase enzymes – altered penicillin-binding proteins (PBPs) Multiple antibiotic resistance mechanisms: the -lactams -lactam antibiotic resistance • AmpC and extended-spectrum -lactamase (ESBL) production are the most important mechanisms of -lactam resistance in nosocomial infections • The antimicrobial and clinical features of these resistance mechanisms are highlighted in the following slides -lactam resistance: AmpC -lactamase production • Worldwide problem: – incidence increased from 17−23% between 1991 and 2001 in UK • Very common in Gram-negative bacilli • AmpC gene is usually sited on chromosomes, but can be present on plasmids • Enzyme production is either constitutive (occurring all the time) or inducible (only occurring in the presence of the antibiotic) Pfaller et al. Int J Antimicrob Agents 2002;19:383–388 Sader et al. Braz J Infect Dis 1999;3:97–110; Livermore et al. Int J Antimicrob Agents 2003;22:14−27 Antimicrobial features of AmpC -lactamase • Not inhibited by -lactamase inhibitors • Usually confers resistance to: – first-, second- and third-generation cephalosporins (eg ceftazidime) – monobactams (eg aztreonam) – some penicillins (eg carbenicillin), less commonly to penicillin–-lactamase inhibitor combinations • Bacteria generally susceptible to carbapenems and fourth-generation cephalosporins Clinical features of AmpC -lactamase • Constitutive mutants can be selected during treatment • Constitutive and induced enzyme production can cause treatment failures • Often creates clinical difficulties due to crossresistance with other antibiotic classes • Can become prevalent in hospital organism flora, causing infection control problems AmpC production by a constitutive derepressed mutant: resistance during therapy Enzyme concentration Start of antibiotic exposure End of antibiotic exposure Antibiotic concentration/duration of exposure AmpC production by an induced wild-type pathogen: natural resistance Enzyme concentration Start of antibiotic exposure End of antibiotic exposure Basal level production Antibiotic concentration/duration of exposure Comparison of AmpC enzyme production Enzyme concentration Start of antibiotic exposure Constitutive End of antibiotic exposure Inducible Basal level production Antibiotic concentration/duration of exposure -lactam resistance: ESBL production • An increasing global problem • Found in a small, expanding group of Gram-negative bacilli, most commonly the Enterobacteriaceae spp. • Usually associated with large plasmids • Enzymes are commonly mutants of TEM- and SHV-type -lactamases Jones et al. Int J Antimicrob Agents 2002;20:426–431 Sader et al. Diagn Microbiol Infect Dis 2002;44:273–280 Antimicrobial features of ESBLs • Inhibited by -lactamase inhibitors • Usually confer resistance to: – first-, second- and third-generation cephalosporins (eg ceftazidime) – monobactams (eg aztreonam) – carboxypenicillins (eg carbenicillin) • Varied susceptibility to piperacillin/tazobactam • Typically susceptible to carbapenems and cephamycins • Often clinically and/or microbiologically non-susceptible to fourth-generation cephalosporins Mechanism of ESBL activity Parent -lactamase Third-generation cephalosporin No fit; therefore, no enzymatic destruction of antibiotic Mechanism of ESBL activity ESBL Third-generation cephalosporin Enzyme fit leads to destruction of antibiotic Clinical features of ESBLs • Even if sensitive to fourth-generation cephalosporins in vitro, treatment failures occur in clinical practice • Create clinical difficulties due to cross-resistance with other antibiotic classes (eg aminoglycosides) • Associated with nosocomial outbreaks of high morbidity and mortality • Result in overuse of other broad-spectrum agents Clinical failure in the presence of ESBLs • Recent data show high clinical failure rates among patients treated with cephalosporins for serious infections caused by ESBL-producing pathogens – susceptible to cephalosporins in vitro – 4/32 patients received cephalosporins to which pathogens showed intermediate susceptibility and all failed treatment – 15/28 remaining patients with cephalosporin-susceptible pathogens failed treatment and 4 died – 11 patients required a change in antibiotic therapy Paterson et al. J Clin Microbiol 2001;39:2206–2212 Patients who failed cephalosporin therapy for serious infections due to ESBL-producing organisms Clinical failure rate (%) 100 80 60 40 20 0 1 2 4 Cephalosporin MIC (µg/mL) 8 Paterson et al. J Clin Microbiol 2001;39:2206–2212 Features of methicillin-resistant Staphylococcus aureus (MRSA) • Introduction of methicillin in 1959 was followed rapidly by reports of MRSA isolates • Recognised hospital pathogen since the 1960s • Major cause of nosocomial infections worldwide – contributes to 50% of infectious morbidity in ICUs in Europe – surveillance studies suggest prevalence has increased worldwide, reaching 25–50% in 1997 Jones. Chest 2001;119:397S–404S Serious infections testing positive for MRSA isolates among hospitalised patients (1997 SENTRY data) Patients (%) 50 40 30 20 10 0 Pneumonia UTI = urinary tract infection UTI Wound Infection type Bloodstream Jones. Chest 2001;119:397S–404S Features of MRSA: epidemic strains • Problem escalated in the early 1980s with emergence of epidemic strains (EMRSA) – first recognised in the UK – 17 EMRSAs identified to date • Impact on hospitals is variable – presence of EMRSA can account for >50% of S. aureus isolates Aucken et al. J Antimicrob Chemother 2002;50:171–175 Risk factors for colonisation or infection with MRSA in hospitals Prior antibiotic exposure Admission to an ICU Surgery Exposure to an MRSA-colonised patient Chambers. Emerg Infect Dis 2001;7:178–182 Emergence of MRSA in the community • MRSA in hospitals leads to an associated rise in incidence in the community • Community-acquired MRSA strains may be distinct from those in hospitals • In a hospital-based study, >40% of MRSA infections were acquired prior to admission • Risk factors for community acquisition included: – – – – recent hospitalisation previous antibiotic therapy residence in a long-term care facility intravenous drug use • Colonisation and transmission are also seen in individuals (including children) lacking these risk factors Hiramatsu et al. Curr Opin Infect Dis 2002;15:407–413 Layton et al. Infect Control Hosp Epidemiol 1995;16:12–17; Naimi et al. 2003;290:2976−2984 Antimicrobial features of MRSA (1) • Mechanism involves altered target site – new penicillin-binding protein — PBP 2' (PBP 2a) – encoded by chromosomally located mecA gene • Confers resistance to all -lactams • Gene carried on a mobile genetic element — staphylococcal cassette chromosome mec (SCCmec) • Laboratory detection requires care • Not all mecA-positive clones are resistant to methicillin Hiramatsu et al. Trends Microbiol 2001;9:486–493 Berger-Bachi & Rohrer. Arch Microbiol 2002;178:165–171 Antimicrobial features of MRSA (2) • Cross-resistance common with many other antibiotics • Ciprofloxacin resistance is a worldwide problem in MRSA: – involves ≥2 resistance mutations – usually involves parC and gyrA genes – renders organism highly resistant to ciprofloxacin, with cross-resistance to other quinolones • Intermediate resistance to glycopeptides first reported in 1997 Hiramatsu et al. J Antimicrob Chemother 1997;40:135–136 Hooper. Lancet Infect Dis 2002;2:530–538 Clinical features of MRSA • Common associations include: – underlying chronic disease, especially repeated hospital stays – prolonged/repeated antibiotics, especially the -lactams • Usually susceptible to at least one other antibiotic • Not all MRSAs behave as EMRSAs • Methicillin resistance is not a marker of virulence Clinical features of MRSA: transmission • Occurs primarily from colonised or infected patients via the hands of healthcare workers – contact transmission to other patients or staff very common • Airborne transmission important in the acquisition of nasal carriage • Infection control measures include: – screening and isolation of new patients suspected of carrying MRSA or S. aureus with vancomycin resistance – implementing infection control programmes – establishing adequate antibiotic policy to minimise development of resistance Clinical features of MRSA: outcome • Mortality rate is higher with MRSA bacteraemia vs methicillin-susceptible S. aureus bacteraemia – odds ratio 1.93 (95% CI: 1.54–2.42; p<0.001) • Potential reasons for worse outcome: – possible enhanced virulence of the antibiotic-resistant pathogen – delay in appropriate antibiotic selection – decreased effectiveness of vancomycin • Risk of inappropriate therapy is closely associated with poor outcome Cosgrove et al. Clin Infect Dis 2003;36:53–59 Melzer et al. Clin Infect Dis 2003;37:1453−1460 Glycopeptide resistance in S. aureus • MRSA infection is invariably treated with glycopeptides – vancomycin – teicoplanin • However, glycopeptide resistance has recently emerged in S. aureus • Potential for more multi-resistant strains that will make treatment much more difficult in the future Management of MRSA Treat patient with appropriate empiric and targeted therapy Educate on risks and control measures Adhere to strict control measures to prevent transmission, especially through contact Consider clearing patient of MRSA carriage Glycopeptide resistance: focus on vancomycin resistance • Vancomycin-resistant enterococci (VRE) • Vancomycin-resistant S. aureus (VRSA) Features of VRE • An increasing worldwide problem: – fourth most common cause of nosocomial infections in the USA • Four genotypes have been recognised — one occurs naturally • Acquired resistance involves multiple genes and therefore does not arise readily • Resistance arises through modification of the target cell wall protein Phenotypes of VRE • VanA: – most common type of VRE – highly resistant to vancomycin and moderately resistant to teicoplanin – resistance is inducible – mediated by plasmids/transposons Phenotypes of VRE (cont’d) • VanB: – second most common type of VRE – Initially, moderately to highly resistant against vancomycin and susceptible to teicoplanin – teicoplanin mutants readily selectable – resistance is inducible – gene originally present on chromosome but now plasmid/transposon mediated Phenotypes of VRE (cont’d) • VanC – resistance occurs naturally in Enterococcus gallinarum and Enterococcus casseliflavus – confers low level of resistance to vancomycin but susceptibility to teicoplanin – resistance is chromosomal – not transferable Phenotypes of VRE (cont’d) • VanD – rare cause of vancomycin resistance in Enterococcus faecium – highly resistant to vancomycin and low resistance to teicoplanin – structurally related to VanA and VanB – resistance is inducible – transferable Molecular features of vancomycin resistance • Seven-step gene co-operation • Involves activity of resolvase, transposase and ligase enzymes • Alters pentapeptide precursor end sequence from D-alanyl-D-alanine to D-alanyl-D-x, where x is lactate, serine or other amino acid • Or produces (vanY) tetrapeptide* that cannot bind vancomycin Vancomycin resistance gene sequence vanR vanS vanH Detects Produces D-Lac glycopeptide; switches on other genes vanA Produces D-Ala-D-Lac vanX Cleaves D-Ala-D-Ala vanY vanZ *Cleaves D-Ala and D-Lac from end chain Exact role? Teicoplanin resistance? Antimicrobial features of resistance in VRE • Development is slow due to very complex gene mechanisms • Cross-resistance between vancomycin and teicoplanin is not absolute • Associated with veterinary and animal husbandry use of glycopeptides • Resistance is transferable, largely through bacterial conjugation Clinical risk features for VRE infection • Severe underlying disease • Prolonged hospitalisation, especially in ICUs • Previous exposure to antibiotics, especially glycopeptides or cephalosporins • Exposure to environment with a high prevalence of VRE It is important to differentiate between COLONISATION (no clinical symptoms) and INFECTION Clinical features of VRE • Organisms with reduced susceptibility to vancomycin are associated with treatment failures • Multiple drug resistance often associated with VRE (eg -lactam resistance and high-level aminoglycoside resistance) • Teicoplanin resistance may develop in teicoplanin-susceptible, vancomycin-resistant strains • A rapid rise in resistance prevalence may occur, especially in hospitals • A strong association exists between increased vancomycin use and increased resistance Vancomycin resistance in S. aureus MIC values Acronym NCCLS breakpoints (mg/L) Vancomycin-sensitive S. aureus VSSA 4 Vancomycin-intermediate S. aureus VISA 8–16 Vancomycin-resistant S. aureus VRSA 32 Resistance status NCCLS = National Committee for Clinical Laboratory Standards Features of vancomycin resistance in S. aureus • A new clinical problem: – first clinically significant VISA reported in Japan in 1996 – first clinically significant VRSA reported in USA in 2002 • Remains a very rare phenomenon • VISA and VRSA have different resistance mechanisms • Resistance is associated with a global increase in the use of vancomycin. HOWEVER in ~50% of cases, patients have not received prior therapy with vancomycin Antimicrobial features of VISA • Mechanism not fully understood, but a combination of: – increased quantities of PBPs causing extracellular trapping – altered cell wall proteins reducing permeability • Cross-resistance between vancomycin and teicoplanin • Laboratory detection requires care • Cross-resistance common with other agents, particularly methicillin Antimicrobial features of VRSA • Mechanism due to acquisition by conjugative process of vanA from enterococci • Cross-resistance between vancomycin and teicoplanin • Laboratory detection requires care • Cross-resistance common with other agents, particularly methicillin Clinical features of VISA and VRSA • Common associations are: – underlying chronic diseases – prolonged exposure to antibiotics – detection during vancomycin treatment of methicillin-resistant S. aureus • No specific association with ICUs • VISA and VRSA fail to respond to glycopeptide therapy • Usually susceptible to a range of other antibiotics • Transmission to other patients or staff very rare VISA and VRSA: infection control • Control measures are as follows: – ensure appropriate use of vancomycin – educate on the risks and control measures – adhere to strict control measures to prevent transmission, particularly through contact – conduct surveillance for the emergence of VISA and VRSA Features of quinolone resistance • There has been widespread use of quinolones: – first introduced in 1980s for treatment of Gram-negative bacteria – newer-generation agents have a broader spectrum of activity, including Gram-positive bacteria • Resistance is growing in nosocomial infections – susceptibility of Gram-negative isolates to ciprofloxacin decreased from 86% (1994) to 76% (2000) in ICU patients (US data) – non-ICU patients also affected Fridkin et al. Emerg Infect Dis 2002;8:697–701 Neuhauser et al. JAMA 2003;289:885–888 Features of quinolone resistance: Gram-negative organisms • Resistance most common in organisms associated with nosocomial infections – Pseudomonas aeruginosa – Acinetobacter spp. – also increasing among ESBL-producing strains • Meropenem Yearly Susceptibility Test Information Collection (MYSTIC) surveillance programme (1997―2000) – 13.4% of Gram-negative strains resistant to ciprofloxacin – P. aeruginosa and Acinetobacter baumannii are the most prevalent resistant strains – increasing prevalence of resistance during surveillance period Masterton. J Antimicrob Chemother 2002;49:218–220 Thomson. J Antimicrob Chemother 1999;43(Suppl. A):31–40 Gram-negative organisms with resistance to ciprofloxacin (1997 SENTRY data) Organisms (%) 50 All patients (USA) Lower RTI (USA and Canada) 40 30 20 10 0 Acinetobacter spp. P. aeruginosa Stenotrophomonas Escherichia maltophilia coli Organism type Jones. Chest 2001;119:397S–404S Features of quinolone resistance: Gram-positive organisms • MRSA – S. aureus occurred in 22.9% of pneumonias in hospitalised patients in USA and Canada (1997 SENTRY data) • Enterococcus spp. resistance – has developed rapidly, especially among VRE • Streptococcus pneumoniae resistance – emerging in many countries, including community-acquired resistance – Hong Kong (12.1%), Spain (5.3%) and USA (<1%) – marked cross-resistance with other frequently used antibiotics Hooper. Lancet Infect Dis 2002;2:530–538 Antimicrobial features of quinolone resistance: gene mutation • Stepwise chromosomal mutations leading to altered target sites of enzymes – DNA gyrase — commonly via GyrA subunit – topoisomerase IV — commonly via ParC subunit • Mutations occur in critical regions of enzyme–DNA complex (‘quinolone resistance determining region’) – quinolone affinity for target is reduced – single amino acid mutations may be sufficient to confer clinical resistance – additional mutations usually required for resistance against more potent quinolones Schmitz et al. Eur J Clin Microbiol Infect Dis 2002;21:647–659 Antimicrobial features of quinolone resistance: altered uptake • Decreased membrane permeability – new porin channels prevent entry of quinolone into organism • Multidrug efflux pump – drug entering organism is actively pumped back out by native pump in bacterial membrane • Mechanisms of resistance – vary, depending on quinolone and species of organism – may occur alone or in combination – must occur in combination for high-level resistance Clinical features of quinolone resistance • Spread by: – quinolone exposure, which selects spontaneous mutants – transmission of resistant clones in the healthcare setting, especially in ICUs • Resistance to one quinolone: – reduces susceptibility to others – increases the frequency of resistance development Clinical implications of quinolone resistance Empiric monotherapy can no longer assure treatment success for common nosocomial pathogens Newer, more potent quinolones are unlikely to be clinically useful given high resistance rates in MRSA and VRE Fully resistant strains tend to have multidrug resistance to other classes of antibiotic, leading to treatment failure Hooper. Lancet Infect Dis 2002;2:530–538 Jones & Pfaller. Diagn Microbiol Infect Dis 1998;31:379–388 Management of quinolone resistance • Continued overuse of quinolones – promotes spread and selection of resistance – limits their effectiveness • Important steps are to – avoid unnecessary use of quinolones – administer at appropriate doses • Careful adherence to infection-control practices slows emergence and reduces transmission of resistant strains Features of carbapenem resistance (1) • Carbapenems first introduced in late 1980s – meropenem – imipenem • Excellent activity against most clinically significant Gram-negative and Gram-positive bacteria • Often used to treat serious nosocomial Gram-negative infections that are resistant to traditional antibiotics – stable to most prevalent -lactamases (ESBL, AmpC) – retain excellent activity against many organisms Features of carbapenem resistance (2) • MYSTIC surveillance data – most bacterial isolates worldwide remain susceptible to carbapenems • Gram-negative isolates from European ICUs have high susceptibility rates – 98.2–99.8% for meropenem – 88.8–99.4% for imipenem • Naturally occurring resistance seen in some organisms – eg S. maltophilia García-Rodríguez et al. J Chemother 2002;14:25–32 Turner. J Antimicrob Chemother 2000;46:9–23 Features of carbapenem resistance (3) • Acquired resistance rare but becoming more common – associated with increased use of carbapenems • First reported in 1990s, particularly among: – P. aeruginosa – A. baumannii – occasionally seen in Enterobacteriaceae spp. • Resistance burden has been slow to increase – compared with other classes of antibiotics – even in presence of carbapenem use Harris et al. Clin Infect Dis 2002;34:340–345 Jones. Chest 2001;119:397S–404S Lepper et al. Antimicrob Agents Chemother 2002;46:2920–2925 Antimicrobial features of carbapenem resistance • Natural resistance is chromosomally mediated – naturally occurring carbapenemases • Acquired resistance is plasmid-mediated, involving various mechanisms – most commonly by carbapenemases (especially in Gram-negative bacteria) – reduced affinity of target PBPs – decreased membrane permeability (Gram-negative bacteria) – active efflux pumps • Mechanisms can co-exist and vary by pathogen Antimicrobial features of carbapenem resistance: carbapenemases • Carbapenemases are a major source of acquired resistance in Gram-negative bacteria • Belong to three different molecular classes of -lactamases: – class B metallo-enzymes (eg IMP, VIM) — most clinically significant – class D oxacillinases (OXA-23 to OXA-27) – class A clavulanic acid-inhibited enzymes (eg SME, NMC, IMI, KPC) — most rare Livermore & Woodford. Curr Opin Microbiol 2000;3:489–495 Antimicrobial features of carbapenem resistance: cross-resistance • Within-class cross-resistance is not absolute – imipenem–meropenem cross-resistance only 5.9% in a study of P. aeruginosa isolates • Carbapenemases also hydrolyse penicillins; hence, between-class cross-resistance is common: – -lactams – quinolones – aminoglycosides Livermore. Curr Opin Investig Drugs 2002;3:218–224 Mokaddas & Sanyal. J Chemother 1999;11:93–96 Clinical features of carbapenem resistance: risk factors for resistance • Nosocomial recovery of imipenem-resistant P. aeruginosa Risk factor Antibiotic used: Imipenem Vancomycin Piperacillin/tazobactam Aminoglycoside Intensive care unit Time at risk Odds ratio (95% CI) p-value 4.96 (2.88–8.57) 1.80 (1.09–2.96) 2.39 (1.42–4.03) 2.19 (1.35–3.56) 3.26 (1.82–5.87) 1.02 (1.01–1.04) <0.0001 0.02 0.0011 0.0015 <0.0001 0.0006 Multivariate analysis (n=120) Harris et al. Clin Infect Dis 2002;34:340–345 Clinical features of carbapenem resistance: risk factors for susceptibility • Nosocomial recovery of imipenem-susceptible P. aeruginosa Risk factor Antibiotic used: Imipenem Vancomycin Ampicillin/sulbactam Cephalosporin Intensive care unit Age Odds ratio (95% CI) p-value 0.37 (0.20–0.67) 1.64 (1.20–2.26) 2.00 (1.38–2.89) 2.00 (1.30–3.06) 3.53 (2.80–4.48) 1.02 (1.01–1.02) 0.0010 0.0022 0.0002 0.0015 <0.0001 <0.0001 Multivariate analysis (n=662) Harris et al. Clin Infect Dis 2002;34:340–345 Clinical features of carbapenem resistance • Acquired resistance is most common with Pseudomonas spp. and Acinetobacter spp. infections • As resistance remains rare, carbapenems are probably drug of choice in infections caused by Acinetobacter spp. – carbapenem resistance is only 2.2% in isolates from routine clinical samples collected in the UK • However, nosocomial outbreaks have been recorded – A. baumannii — major local outbreaks in several countries – Klebsiella pneumoniae with multidrug resistance Corbella et al. J Clin Microbiol 2000;38:4086–4095 Landeman et al. Arch Intern Med 2002;162:1515–1520 Manuel et al. J Antimicrob Chemother 2003;52:141–142 McKenzie et al. Lancet 1997;350:783; Poirel et al. J Clin Microbiol 2003;41:3542–3547 Management of carbapenem resistance • Potential for greater resistance in the future, especially: – P. aeruginosa – A. baumannii – K. pneumoniae • Promotes continued caution with carbapenem use – particularly with availability of new oral and long half-life forms • Major cross-resistances mean that unusual therapy may be required (eg polymixins, isepamicin, minocycline, sulbactam) Antibiotic resistance and inappropriate antibiotic therapy • Inappropriate antibiotic therapy can select for antibiotic resistance • Risk factors for antibiotic resistance and inappropriate therapy include: – prior antibiotic exposure – prolonged length of hospital stay before treatment – presence of invasive devices (eg intravascular or urinary catheters) • Studies have been carried out that support the concept of using appropriate antibiotic therapy in order to prevent or reduce the incidence of antibiotic-resistant pathogens Kollef. Clin Infect Dis 2000;31(Suppl. 4):S131–S138 Considerations for the selection of appropriate antibiotic therapy in patients with VAP Imipenem + amikacin + vancomycin Ceftazidime + amikacin + vancomycin Piperacillin–tazobactam + amikacin + vancomycin Aztreonam + amikacin + vancomycin 0 Efficacy of combination therapy in critically ill patients with VAP: choice based on local data. All patients were ventilated 7 days and had received prior antibiotic therapy 50 60 70 80 Susceptibility (%) 90 100 Trouillet et al. Am J Respir Crit Care Med 1998;157:531–539 Considerations for the selection of appropriate antibiotic therapy in patients with pulmonary infiltrates • Overtreatment with antibiotics leads to higher rates of antibiotic resistance and superinfections, while a shorter course of therapy is appropriate in some patients and carries a lower risk of resistance development Antibiotic therapy Short-course Control Variable (%) (%) p-value Superinfection resistance MRSA Candida spp. P. aeruginosa 14 5 8 8 38 14 14 16 0.017 MRSA = methicillin-resistant Staphylococcus aureus Singh et al. Am J Respir Crit Care Med 2000;162:505–511 Summary • Antibiotic resistance in the hospital setting is increasing at an alarming rate and is likely to have an important impact on infection management • Steps must be taken now to control the increase in antibiotic resistance Cosgrove et al. Arch Intern Med 2002;162:185–190 Summary • The Academy for Infection Management supports the concept of using appropriate antibiotics early in nosocomial infections and proposes: – selecting the most appropriate antibiotic based on the patient, risk factors, suspected infection and resistance – administering antibiotics at the right dose for the appropriate duration – changing antibiotic dosage or therapy based on resistance and pathogen information – recognising that prior antimicrobial administration is a risk factor for the presence of resistant pathogens – knowing the unit’s antimicrobial resistance profile and choosing antibiotics accordingly Educational slide resource kit Impact of inappropriate antibiotic treatment on health economic outcomes Pharmacoeconomic considerations in antibiotic selection • Pharmacoeconomic principles are used to determine how to optimise patient outcomes for a given limited supply of resources • Selection of specific antibiotics for formulary use requires analysis of all therapy-associated costs and outcomes Consideration of costs beyond just the cost of the antibiotic is essential Pharmacoeconomic considerations in antibiotic selection • Inappropriate antibiotic use can result in treatment failure and development of resistance • Economic implications of treatment failure include costs associated with: – increases in length of hospital stay – additional treatments – morbidity/adverse events Relationship between antibiotic use, resistance, treatment failure and healthcare burden Increase in antibiotic use Limited treatment alternatives • more antibiotics • increased mortality Increase in resistant strains Ineffective empiric therapy • increased morbidity • more antibiotics Increased use of healthcare resources Increased hospitalisation • more antibiotics Decision tree to compare costs, choices and outcomes between agents Drug A $13 200; 5.6 days Drug B $15 800; 6.6 days Cure p-Cure [0.9] $12 000 5.2 days Fail $24 000 9.8 days 1-(p-Cure) [0.3] Cure p-Cure [0.7] $12 000 5.2 days Fail $24 000 9.8 days 1-(p-Cure) [0.3] Cost for each agent = End cost x Probability (p) of achieving outcome McKinnon et al. Clin Infect Dis 1997;24:57–63 Factors influencing choice of antibiotic • Clinicians are influenced by a number of factors when selecting an antibiotic: – efficacy – toxicity – cost • Antibiotic choice will depend on safety profiles if two agents have comparable efficacy • If both efficacy and safety profiles are roughly equal, cost is usually the final factor considered Total costs of antibiotic therapy Total costs of therapy comprise: • Costs associated with antibiotic preparation and administration, ie all supplies and labour required to deliver the dose to the patient • Costs associated with any monitoring of the antibiotic necessary for efficacy/tolerability evaluations (including supplies and labour for ordering and attaining appropriate drug levels, reporting and analysis of results and clinical interpretation) • Costs of treatment outcome including: – additional treatment costs and extended hospital stays due to treatment failure – costs associated with adverse outcomes (eg side effects, allergy/hypersensitivity, intolerance to route of administration, superinfection) Evaluating costs of patient hospital stay • Distinguish between costs attributable to the treatment of infection and those attributable to another cause • ‘Antibiotic-/infection-related length of stay’ should include the numbers of days in hospital for: – primary antibiotic therapy – treatment of failures – treatment of antibiotic-related adverse events • Distinguish between days spent in the ICU vs non-ICU days (due to high costs of ICU treatment) Antibiotic strategies to reduce costs Therapeutic failure Optimise PK/PD parameters; use potent bactericidal agents; avoid antibiotics with poor tissue penetration Hospital stay Use knowledge of local resistance to initiate early therapy with appropriate spectrum agent; IV vs PO Administration Use as short a course as appropriate; use IV–PO switch programmes Adverse events Avoid agents with serious or costly adverse events; avoid agents known to induce resistance Monitoring Avoid drugs requiring monitoring or laboratory safety testing Drug cost Low impact compared to total hospital costs, but significant to departmental cost (pharmacy) Summary • Hospital stay is often the biggest component of infection-related treatment costs, therefore strategies to treat infections effectively while minimising use of hospital resources will have the greatest potential to reduce overall cost of treatment • To minimise the cost burden in nosocomial infections it is very important to start with the appropriate empiric antibiotic first