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Antimicrobial Resistance Surveillance in Hospital and
Community-Issues for Human Population Medicine

Kurt B. Stevenson MD MPH
Division of Infectious Diseases
November 13, 2012
Disclosures

     No financial disclosures or conflicts of interest
      relative to this presentation.




2
Time Magazine-Feb 25, 1966

     “Nearly all experts agree that (by the year 2000)
      bacterial and viral diseases will have been wiped
      out. Probably arteriosclerotic heart disease will
      also have been eliminated.”




3
Rene Dubos-1941

     “...the readiness with which microorganisms
      selectively change their enzymatic constitution in
      response to change in the environment may
      …be of importance in determining the pathology
      of infectious diseases.”




4
Critical impact of antimicrobial resistance
    “If we do not act to address the problem of AR, we
       may lose quick and reliable treatment of
       infections that have been a manageable problem
       in the United States since the 1940s. Drug
       choices for the treatment of common infections
       will become increasingly limited and expensive -
        and, in some cases, nonexistent.”

           -A Public Health Action Plan to Combat Antimicrobial Resistance
                                                                     CDC
    Underline added




5
Antimicrobials present unique management
    challenges
     200-300 million antibiotics are prescribed
      annually
         45% for outpatient use
     25-40% of hospitalized patients receive
      antibiotics
         10-70% are unnecessary or sub-optimal
         5% of hospitalized patients who receive antibiotics experience an
          adverse reaction
     Antibiotics are unlike any other drugs, in that use
      of the agent in one patient can compromise its
      efficacy in another (“Societal Drugs”)

     Slide courtesy of Sara Cosgrove, MD Johns Hopkins University

6
Science 2008;321:356-361

7
Science 2008;321:356-361


8
Campaign to Prevent Antimicrobial Resistance in Healthcare Settings


   Selection for antimicrobial-
        resistant Strains

Resistant Strains
      Rare
                         Antimicrobial
                         Exposure

                                                     Resistant Strains
                                                        Dominant
ESKAPE pathogens

        Enterococcus faecium (VRE)
        Staphylococcus aureus (MRSA)
        Klebsiella pneumonia (ESBL-producing)
        Acinetobacter baumannii
        Pseudomonas aeruginosa
        Enterobacter species




         Rice LB. J Infect Dis 2008;197:1079-81

10
Emerging antimicrobial resistance of
     importance in human medicine
      Methicillin-Resistant Staphylococcus aureus
       (MRSA)
      Multi-drug resistant gram-negative bacilli
         “SPACE” organisms (Serratia, Pseudomonas,
          Acinetobacter, Citrobacter, Enterobacter)
         Ciprofloxacin resistance
         AmpC/inducible beta-lactamases
         Extended spectrum beta-lactamases (ESBLs)
         Carbapenem-resistance
         Now with colistin resistance



11
Emerging antimicrobial resistance of
     importance in human medicine
      Epidemic strains of C. difficile
      Vancomycin-resistant Enterococcus ssp. (VRE)
      Vancomycin-intermediate Staphylococcus aureus
       (VISA)
      Vancomycin-resistant Staphylococcus aureus
       (VRSA)




12
Definitions of antimicrobial resistance
     MDRO=multidrug resistant organisms
      Resistant to more than one class of antimicrobial
       agent (IOM, 1998)
        Although this definition suggests resistance to only
         one class, most of the pathogens discussed are
         resistant to multiple classes
        May use more explicit definitions
      Epidemiologically important
        Known to be transmitted in the healthcare
         environment
        Modifiable risk factors
        Effective infection control interventions


13
Definitions of antimicrobial resistance
     MDRO=multidrug resistant organisms
      Facility specific parameters
        First isolate, newly introduced
        Increasing in frequency
      Limited treatment options
      Associated with poor patient outcomes




14
Clin Microbiol Infect 2012:18:268-281
15
Abbreviations

      MDR=multidrug-resistant
      XDR=extensively drug-resistant
      PDR=pandrug-resistant




16
Clin Microbiol Infect 2012:18:268-281

17
Genotyping
         PFGE                       Epidemiologic and
     Sequence-based
         typing        Multi-Drug    risk factor data
         MLST          Multi-Drug
                       Resistant
                        Resistant
                       Organism
                       Organisms
                            s
                         (MDRO)
                        (MRSA)
      Social network                  Geographic
         analysis                        links




18
Methicillin-resistant S. aureus (MRSA)

      A group of anti-penicillinase antibiotics were
       developed in the 1960s to treat penicillin-
       resistant staph (methicillin, nafcillin, oxacillin)
      MRSA contains mecA gene which encodes for a
       modified penicillin-binding protein with reduced
       binding of methicillin, oxacillin, or nafcillin
      Also resistant to cephalosporins
      mecA gene is housed within the staphylococcal
       chromosomal cassette (SCC) which also houses
       multiple resistance genes



19
MRSA
      Historically, MRSA has been isolated almost
       exclusively in healthcare settings, suggesting
       that transmission has occurred primarily in this
       environment
      Typically, nosocomial MRSA have multi-drug
       resistance patterns
      Risk factors for healthcare-associated MRSA
       acquisition include hospitalization, antimicrobial
       exposure, device utilization, hemodialysis,
       nursing home, open wounds
      Healthcare-associated MRSA results in infections
       at many different clinical sites

20
Community-associated MRSA
      Increasing reports of MRSA occurring in patients
       with little or no direct contact with the healthcare
       system
      Interpretation of these reports are complicated by
       lack of consistent definitions
      Phenotypic definition: lack of multi-drug
       resistance profile
      Genotypic definition: presence of type IV
       SCCmec gene cassette
      Typically younger patients and most often
       associated with skin and soft tissue infections


21
MRSA

      Hospital-acquired                Community-acquired
        Large SCCmec A (types            Small SCCmecA (Type IV)
         I,II,III)                        Typically resistant only to
        Multi-drug resistance             beta-lactam drugs
        Multiple risk factors for        No risk factors for contact
         contact with the healthcare       with healthcare system
         system                           Younger patients
        Infections at many sites         Skin and soft tissue
         (blood, lung, skin, etc)          infections
        USA 100, 200, 500, 600,          Toxin-producing strains
         800 PFGE types (2003)
                                          USA 300, 400 PFGE types




22
Genotyping
   PFGE                       Epidemiologic and
  RepPCR                       risk factor data
 Spa Typing      Multi-Drug       HA-MRSA
   MLST                           CA-MRSA
 SCCmecA         Resistant
                 MRSA
                 Organism
                      s
                  (MRSA)
Social network                  Geographic
   analysis                        links
MRSA Surveillance Study
     Funded by CDC Prevention Epicenter Program
       Ohio State Health Network        Objectives:
            Infection Control
              Collaborative                To compare clinical
                                            characteristics and
                                            molecular genotypes
                                            of MRSA isolates
                                           Use a network of a
                                            tertiary medical center
                                            and 7 referring
                                            community hospitals
                                           To characterize
                                            transmission of CA-
                                            and HA-MRSA
                                            between these
      7 Outreach hospitals                  facilities.
      27 to 121 miles from OSU Wexner
      Medical Center (OSUWMC)
24
MRSA Project Process Flow

                                        Each hospitals sends
                                         +MRSA micro samples
         OSHNICC                     with assigned de-identified
                                                                        OSUWMC Clinical Micro Lab
                                               code to:                      (REP-PCR, Storage of Specimens)


      Each
     hospital               IW de-                                                     OSU lab
                                                                      OSU lab
     collects            identifies                                                  sends micro               ODH
                                                                      sends
    data and             the data,                                                     samples                sends
                                                                    PCR and
     PHI on               sends a                                                        using                PFGE
                                                                      PFGE
     +MRSA              code back                                                      assigned               results
                                                                      results
   cases and               to the                                                    de-identified           back to
                                                                       using
    sends to:           hospital for                                                   code for              OSU lab
                                                                    assigned
                        each case                                                       PFGE
                                                                        de-
                                                                                      testing to:
          OSUWMC IW                                                 identified
                                                                   code to IW
            (Honest Broker)                                                                      ODH Lab

                                                                                        Potential for MLST
                              IW stores
                              all data in:                                              and spa typing

                                                                                                     OSU Epicenter
                                                                                 Data Analysis
Web-Based                                                                                                 Epicenter
Data Entry Portal                        MRSA Database                                                  reports back
                                                                                                        de-identified
                                                                                                           data to
                                                                                                         OHSNICC
                                                                                                             and
                                                                                                          publishes
                                                                                                           results
Web portal-Outreach Hospital
Study Design
      Retrospective analysis of OSUMC banked isolates
       (projected ~450 isolates) Study period 1/1/07-10/31/08
           Endemic clonal distribution/molecular typing
           Geographic distribution
           Epidemiologic and Risk factors
           Social Networking analysis-social relatedness of cases
      Concurrent analysis of OSHNICC hospitals (~1300
       isolates) Study period 11/01/08 to 6/30/10
           All cases at outreach hospitals
           All cases at OSUMC from outreach hospital catchment areas
           Sampling of other OSUMC cases
           Collect all of the same data elements




27
Emerg Infect Dis 2012;18:1557-1565

28
Results

      Among 1286 MRSA isolates collected as part of
       the MRSA surveillance project there were 78
       (6%) isolates that were sequence typed as ST-
       239
      ST-239 has a history of successful dissemination
       in many regions but had not been noted to play a
       predominant role in the US




29
ST 239

      Demonstrated epidemic/outbreak potential-
       caused a 2 year ICU outbreak in London
      Healthcare-associated with pulmonary and
       central venous catheter associated bloodstream
       infections in Korea and China
      Highly drug resistant beyond methicillin
        Resistant to clindamycin, TMP-SMX,
         moxifloxacin, gentamicin.




30
Emerg Infect Dis 2012;18:1557-1565
31
Emerg Infect Dis 2012;18:1557-1565
32
Pseudomonas aeruginosa

      Gram-negative, non-fermenting bacillus
      Common environmental pathogen, especially in
       water
      Reservoirs for infection can develop, even in
       intensive care units
      One of the most serious causes of ventilator-
       associated pneumonia (VAP)




33
Clinical Infections
      Bacteremia in neutropenic patients; more
       common in the 1980’s, decreasing in past
       decade
      Cystic fibrosis
       Science 2000:288:1251

      Healthcare-associated infections (VAP,
       bacteremia)
       Am Surg 1999;65:706
       Arch Int Med 1985;145:1621
       Crit Care Med 1999;27:887

      Community-acquired infections (hot tub
       folliculitis)
       J Clin Microbiol 1986;23:655


34
Imipenem-resistant Pseudomonas
     aeruginosa
      University of Pennsylvania
      1991 to 2000, significant increase in imipenem
       resistance (p<0.001)
      Only independent risk factor for acquisition was
       prior fluoroquinolone use
      Resistant infections resulted in longer hospital
       stay (15.5 vs 9 days, p=0.02) and increased
       costs ($81,330 vs $48,381)
      Increased mortality rate (31.1 vs 16.7%)
      Lautenbach E et al. Infect Cont Hosp Epidem 2006;27:893-900




35
Extended spectrum β-lactamases

      K. pneumoniae, E. coli
      Also reported with
       Salmonella, Proteus, Enterobacter, Citrobacter, S
       erratia, and Pseudomonas
      Plasmid-mediated enzymes able to hydrolyze
       most penicillins and cephalosporins
      Mutated from native β-lactamases, particularly
       TEM-1, TEM-2, and SHV-1; heterogenous group
       of enzymes also derived from other β-
       lactamases-now CTX-M

      Clin Infect Dis 2006;42:S153

36
ESBLs

      Phenotype: resistance to 3rd generation
       cephalosporins and monobactams
      Their proliferation is a global concern and results
       in serious limitations in treatment options
      Usually carbapenems are the best and only
       treatment option




37
Clin Infect Dis 2006;42:S153
38
Clin Infect Dis 2006;42:S153



39
Carbapenemases

      Carbapenemases are enzymes which can
       inactivate a wide range of antibiotics including
       the carbapenem class, thus rendering the
       bacteria highly resistant to most treatment
       modalities
      Two current classes noted:
         KPC: class A
         NDM-1: class B




40
KPC

      96 isolates from 10 Brooklyn hospitals
      All resistant to carbapenems and most other
       antibiotics
      About 50% susceptible to aminoglycosides and
       90% to polymixin B; all susceptible to tigecycline.
      Therapeutic options: colistin, tigecycline




        JAC 2005;56:128


42
NDM-1 strain

      New Delhi metallo-beta-lactamase-1
      Klebsiella pneumoniae and Escherichia coli.
      NDM-1 has been reported in >37 states within
       the United States, including Ohio




43
Lancet Infect Dis 2010;10:597-602



44
Lancet Infect Dis 2010;10:597-602
45
Lancet Infect Dis 2010;10:597-602

46
Acinetobacter baumannii

      Acinetobacter baumannii (Ab) is a ubiquitous
       encapsulated, aerobic, nonfermentive gram-
       negative coccobacillus
      It is capable of causing both community and
       healthcare-associated infections involving
       pulmonary system, urinary tract, bloodstream,
       and surgical wounds
      These organisms have a high propensity to
       accumulate mechanisms of drug-resistance;
       large HAI outbreaks with pan resistant strains
       have been reported
       Clin Infect Dis 2006;42:692-699
47
Acinetobacter baumannii (Ab)

      Major risk factors include invasive procedures
       such as using mechanical ventilation, central
       venous or urinary catheters, and exposure to
       broad spectrum antimicrobials
      The organisms exist in the environment in both
       wet and dry conditions and can survive for
       months on clothing, bedrails, ventilators, and
       other surfaces

       Clin Infect Dis 2006;42:692-699
       J Clin Microbiol 1996;34:2881-2887
       Principles and Practices of Infectious Diseases 2000:2339-2344



48
MDR Ab outbreaks across geographic
     distances
      Citywide clonal outbreak of MDR-Ab; involved 15
       hospitals in Brooklyn (based on ribotyping)
      Interhospital transfer of MDR-Ab among 4
       hospitals in Johannesburg, South Africa (based
       on PFGE)




       Arch Intern Med 2002;162:1515-1520
       Am J Infect Control 2004;32:278-281




49
Colistin

      Mixture of cyclic polypeptides (polymixin A and
       B); polycationic with both hydrophilic and
       lipophilic moieties
      Disrupts cell membrane
      Active against gram negative bacteria esp
       Pseudomonas and Acinetobacter
      Previous concerns for neurotoxicity and
       nephrotoxicity
      Resistance currently has been generally rare



50
Colistin resistance
      265 isolates of Acinetobacter from 2 Korean hospitals
      Categorized into 3 subgroups:
         Subgroup I (142 isolates [53.6%])
         Subgroup II (54 [20.4%])
         Subgroup III (18 [6.8%])
      Forty-eight isolates (18.1%) and 74 isolates (27.9%) were
       resistant to polymyxin B and colistin, respectively.




       J Antimicrob Chemother. 2007 Aug 29


51
Emerging antimicrobial resistance of
     importance in human medicine
      Methicillin-Resistant Staphylococcus aureus
       (MRSA)
      Multi-drug resistant gram-negative bacilli
         “SPACE” organisms (Serratia, Pseudomonas,
          Acinetobacter, Citrobacter, Enterobacter)
         Ciprofloxacin resistance
         AmpC/inducible beta-lactamases
         Extended spectrum beta-lactamases (ESBLs)
         Carbapenem-resistance
         Now with colistin resistance



52
Emerging antimicrobial resistance of
     importance in human medicine
      Epidemic strains of C. difficile
      Vancomycin-resistant Enterococcus ssp. (VRE)
      Vancomycin-intermediate Staphylococcus aureus
       (VISA)
      Vancomycin-resistant Staphylococcus aureus
       (VRSA)




53

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Dr. Kurt Stevenson - Antimicrobial Resistance Surveillance and Management in Hospital and Community Settings - Issues for Human Population Medicine

  • 1. Antimicrobial Resistance Surveillance in Hospital and Community-Issues for Human Population Medicine Kurt B. Stevenson MD MPH Division of Infectious Diseases November 13, 2012
  • 2. Disclosures  No financial disclosures or conflicts of interest relative to this presentation. 2
  • 3. Time Magazine-Feb 25, 1966  “Nearly all experts agree that (by the year 2000) bacterial and viral diseases will have been wiped out. Probably arteriosclerotic heart disease will also have been eliminated.” 3
  • 4. Rene Dubos-1941  “...the readiness with which microorganisms selectively change their enzymatic constitution in response to change in the environment may …be of importance in determining the pathology of infectious diseases.” 4
  • 5. Critical impact of antimicrobial resistance “If we do not act to address the problem of AR, we may lose quick and reliable treatment of infections that have been a manageable problem in the United States since the 1940s. Drug choices for the treatment of common infections will become increasingly limited and expensive - and, in some cases, nonexistent.” -A Public Health Action Plan to Combat Antimicrobial Resistance CDC Underline added 5
  • 6. Antimicrobials present unique management challenges  200-300 million antibiotics are prescribed annually  45% for outpatient use  25-40% of hospitalized patients receive antibiotics  10-70% are unnecessary or sub-optimal  5% of hospitalized patients who receive antibiotics experience an adverse reaction  Antibiotics are unlike any other drugs, in that use of the agent in one patient can compromise its efficacy in another (“Societal Drugs”)  Slide courtesy of Sara Cosgrove, MD Johns Hopkins University 6
  • 9. Campaign to Prevent Antimicrobial Resistance in Healthcare Settings Selection for antimicrobial- resistant Strains Resistant Strains Rare Antimicrobial Exposure Resistant Strains Dominant
  • 10. ESKAPE pathogens  Enterococcus faecium (VRE)  Staphylococcus aureus (MRSA)  Klebsiella pneumonia (ESBL-producing)  Acinetobacter baumannii  Pseudomonas aeruginosa  Enterobacter species Rice LB. J Infect Dis 2008;197:1079-81 10
  • 11. Emerging antimicrobial resistance of importance in human medicine  Methicillin-Resistant Staphylococcus aureus (MRSA)  Multi-drug resistant gram-negative bacilli  “SPACE” organisms (Serratia, Pseudomonas, Acinetobacter, Citrobacter, Enterobacter)  Ciprofloxacin resistance  AmpC/inducible beta-lactamases  Extended spectrum beta-lactamases (ESBLs)  Carbapenem-resistance  Now with colistin resistance 11
  • 12. Emerging antimicrobial resistance of importance in human medicine  Epidemic strains of C. difficile  Vancomycin-resistant Enterococcus ssp. (VRE)  Vancomycin-intermediate Staphylococcus aureus (VISA)  Vancomycin-resistant Staphylococcus aureus (VRSA) 12
  • 13. Definitions of antimicrobial resistance MDRO=multidrug resistant organisms  Resistant to more than one class of antimicrobial agent (IOM, 1998)  Although this definition suggests resistance to only one class, most of the pathogens discussed are resistant to multiple classes  May use more explicit definitions  Epidemiologically important  Known to be transmitted in the healthcare environment  Modifiable risk factors  Effective infection control interventions 13
  • 14. Definitions of antimicrobial resistance MDRO=multidrug resistant organisms  Facility specific parameters  First isolate, newly introduced  Increasing in frequency  Limited treatment options  Associated with poor patient outcomes 14
  • 15. Clin Microbiol Infect 2012:18:268-281 15
  • 16. Abbreviations  MDR=multidrug-resistant  XDR=extensively drug-resistant  PDR=pandrug-resistant 16
  • 17. Clin Microbiol Infect 2012:18:268-281 17
  • 18. Genotyping PFGE Epidemiologic and Sequence-based typing Multi-Drug risk factor data MLST Multi-Drug Resistant Resistant Organism Organisms s (MDRO) (MRSA) Social network Geographic analysis links 18
  • 19. Methicillin-resistant S. aureus (MRSA)  A group of anti-penicillinase antibiotics were developed in the 1960s to treat penicillin- resistant staph (methicillin, nafcillin, oxacillin)  MRSA contains mecA gene which encodes for a modified penicillin-binding protein with reduced binding of methicillin, oxacillin, or nafcillin  Also resistant to cephalosporins  mecA gene is housed within the staphylococcal chromosomal cassette (SCC) which also houses multiple resistance genes 19
  • 20. MRSA  Historically, MRSA has been isolated almost exclusively in healthcare settings, suggesting that transmission has occurred primarily in this environment  Typically, nosocomial MRSA have multi-drug resistance patterns  Risk factors for healthcare-associated MRSA acquisition include hospitalization, antimicrobial exposure, device utilization, hemodialysis, nursing home, open wounds  Healthcare-associated MRSA results in infections at many different clinical sites 20
  • 21. Community-associated MRSA  Increasing reports of MRSA occurring in patients with little or no direct contact with the healthcare system  Interpretation of these reports are complicated by lack of consistent definitions  Phenotypic definition: lack of multi-drug resistance profile  Genotypic definition: presence of type IV SCCmec gene cassette  Typically younger patients and most often associated with skin and soft tissue infections 21
  • 22. MRSA  Hospital-acquired  Community-acquired  Large SCCmec A (types  Small SCCmecA (Type IV) I,II,III)  Typically resistant only to  Multi-drug resistance beta-lactam drugs  Multiple risk factors for  No risk factors for contact contact with the healthcare with healthcare system system  Younger patients  Infections at many sites  Skin and soft tissue (blood, lung, skin, etc) infections  USA 100, 200, 500, 600,  Toxin-producing strains 800 PFGE types (2003)  USA 300, 400 PFGE types 22
  • 23. Genotyping PFGE Epidemiologic and RepPCR risk factor data Spa Typing Multi-Drug HA-MRSA MLST CA-MRSA SCCmecA Resistant MRSA Organism s (MRSA) Social network Geographic analysis links
  • 24. MRSA Surveillance Study Funded by CDC Prevention Epicenter Program  Ohio State Health Network  Objectives: Infection Control Collaborative  To compare clinical characteristics and molecular genotypes of MRSA isolates  Use a network of a tertiary medical center and 7 referring community hospitals  To characterize transmission of CA- and HA-MRSA between these 7 Outreach hospitals facilities. 27 to 121 miles from OSU Wexner Medical Center (OSUWMC) 24
  • 25. MRSA Project Process Flow Each hospitals sends +MRSA micro samples OSHNICC with assigned de-identified OSUWMC Clinical Micro Lab code to: (REP-PCR, Storage of Specimens) Each hospital IW de- OSU lab OSU lab collects identifies sends micro ODH sends data and the data, samples sends PCR and PHI on sends a using PFGE PFGE +MRSA code back assigned results results cases and to the de-identified back to using sends to: hospital for code for OSU lab assigned each case PFGE de- testing to: OSUWMC IW identified code to IW (Honest Broker) ODH Lab Potential for MLST IW stores all data in: and spa typing OSU Epicenter Data Analysis Web-Based Epicenter Data Entry Portal MRSA Database reports back de-identified data to OHSNICC and publishes results
  • 27. Study Design  Retrospective analysis of OSUMC banked isolates (projected ~450 isolates) Study period 1/1/07-10/31/08  Endemic clonal distribution/molecular typing  Geographic distribution  Epidemiologic and Risk factors  Social Networking analysis-social relatedness of cases  Concurrent analysis of OSHNICC hospitals (~1300 isolates) Study period 11/01/08 to 6/30/10  All cases at outreach hospitals  All cases at OSUMC from outreach hospital catchment areas  Sampling of other OSUMC cases  Collect all of the same data elements 27
  • 28. Emerg Infect Dis 2012;18:1557-1565 28
  • 29. Results  Among 1286 MRSA isolates collected as part of the MRSA surveillance project there were 78 (6%) isolates that were sequence typed as ST- 239  ST-239 has a history of successful dissemination in many regions but had not been noted to play a predominant role in the US 29
  • 30. ST 239  Demonstrated epidemic/outbreak potential- caused a 2 year ICU outbreak in London  Healthcare-associated with pulmonary and central venous catheter associated bloodstream infections in Korea and China  Highly drug resistant beyond methicillin  Resistant to clindamycin, TMP-SMX, moxifloxacin, gentamicin. 30
  • 31. Emerg Infect Dis 2012;18:1557-1565 31
  • 32. Emerg Infect Dis 2012;18:1557-1565 32
  • 33. Pseudomonas aeruginosa  Gram-negative, non-fermenting bacillus  Common environmental pathogen, especially in water  Reservoirs for infection can develop, even in intensive care units  One of the most serious causes of ventilator- associated pneumonia (VAP) 33
  • 34. Clinical Infections  Bacteremia in neutropenic patients; more common in the 1980’s, decreasing in past decade  Cystic fibrosis Science 2000:288:1251  Healthcare-associated infections (VAP, bacteremia) Am Surg 1999;65:706 Arch Int Med 1985;145:1621 Crit Care Med 1999;27:887  Community-acquired infections (hot tub folliculitis) J Clin Microbiol 1986;23:655 34
  • 35. Imipenem-resistant Pseudomonas aeruginosa  University of Pennsylvania  1991 to 2000, significant increase in imipenem resistance (p<0.001)  Only independent risk factor for acquisition was prior fluoroquinolone use  Resistant infections resulted in longer hospital stay (15.5 vs 9 days, p=0.02) and increased costs ($81,330 vs $48,381)  Increased mortality rate (31.1 vs 16.7%) Lautenbach E et al. Infect Cont Hosp Epidem 2006;27:893-900 35
  • 36. Extended spectrum β-lactamases  K. pneumoniae, E. coli  Also reported with Salmonella, Proteus, Enterobacter, Citrobacter, S erratia, and Pseudomonas  Plasmid-mediated enzymes able to hydrolyze most penicillins and cephalosporins  Mutated from native β-lactamases, particularly TEM-1, TEM-2, and SHV-1; heterogenous group of enzymes also derived from other β- lactamases-now CTX-M Clin Infect Dis 2006;42:S153 36
  • 37. ESBLs  Phenotype: resistance to 3rd generation cephalosporins and monobactams  Their proliferation is a global concern and results in serious limitations in treatment options  Usually carbapenems are the best and only treatment option 37
  • 38. Clin Infect Dis 2006;42:S153 38
  • 39. Clin Infect Dis 2006;42:S153 39
  • 40. Carbapenemases  Carbapenemases are enzymes which can inactivate a wide range of antibiotics including the carbapenem class, thus rendering the bacteria highly resistant to most treatment modalities  Two current classes noted:  KPC: class A  NDM-1: class B 40
  • 41.
  • 42. KPC  96 isolates from 10 Brooklyn hospitals  All resistant to carbapenems and most other antibiotics  About 50% susceptible to aminoglycosides and 90% to polymixin B; all susceptible to tigecycline.  Therapeutic options: colistin, tigecycline JAC 2005;56:128 42
  • 43. NDM-1 strain  New Delhi metallo-beta-lactamase-1  Klebsiella pneumoniae and Escherichia coli.  NDM-1 has been reported in >37 states within the United States, including Ohio 43
  • 44. Lancet Infect Dis 2010;10:597-602 44
  • 45. Lancet Infect Dis 2010;10:597-602 45
  • 46. Lancet Infect Dis 2010;10:597-602 46
  • 47. Acinetobacter baumannii  Acinetobacter baumannii (Ab) is a ubiquitous encapsulated, aerobic, nonfermentive gram- negative coccobacillus  It is capable of causing both community and healthcare-associated infections involving pulmonary system, urinary tract, bloodstream, and surgical wounds  These organisms have a high propensity to accumulate mechanisms of drug-resistance; large HAI outbreaks with pan resistant strains have been reported Clin Infect Dis 2006;42:692-699 47
  • 48. Acinetobacter baumannii (Ab)  Major risk factors include invasive procedures such as using mechanical ventilation, central venous or urinary catheters, and exposure to broad spectrum antimicrobials  The organisms exist in the environment in both wet and dry conditions and can survive for months on clothing, bedrails, ventilators, and other surfaces Clin Infect Dis 2006;42:692-699 J Clin Microbiol 1996;34:2881-2887 Principles and Practices of Infectious Diseases 2000:2339-2344 48
  • 49. MDR Ab outbreaks across geographic distances  Citywide clonal outbreak of MDR-Ab; involved 15 hospitals in Brooklyn (based on ribotyping)  Interhospital transfer of MDR-Ab among 4 hospitals in Johannesburg, South Africa (based on PFGE) Arch Intern Med 2002;162:1515-1520 Am J Infect Control 2004;32:278-281 49
  • 50. Colistin  Mixture of cyclic polypeptides (polymixin A and B); polycationic with both hydrophilic and lipophilic moieties  Disrupts cell membrane  Active against gram negative bacteria esp Pseudomonas and Acinetobacter  Previous concerns for neurotoxicity and nephrotoxicity  Resistance currently has been generally rare 50
  • 51. Colistin resistance  265 isolates of Acinetobacter from 2 Korean hospitals  Categorized into 3 subgroups:  Subgroup I (142 isolates [53.6%])  Subgroup II (54 [20.4%])  Subgroup III (18 [6.8%])  Forty-eight isolates (18.1%) and 74 isolates (27.9%) were resistant to polymyxin B and colistin, respectively. J Antimicrob Chemother. 2007 Aug 29 51
  • 52. Emerging antimicrobial resistance of importance in human medicine  Methicillin-Resistant Staphylococcus aureus (MRSA)  Multi-drug resistant gram-negative bacilli  “SPACE” organisms (Serratia, Pseudomonas, Acinetobacter, Citrobacter, Enterobacter)  Ciprofloxacin resistance  AmpC/inducible beta-lactamases  Extended spectrum beta-lactamases (ESBLs)  Carbapenem-resistance  Now with colistin resistance 52
  • 53. Emerging antimicrobial resistance of importance in human medicine  Epidemic strains of C. difficile  Vancomycin-resistant Enterococcus ssp. (VRE)  Vancomycin-intermediate Staphylococcus aureus (VISA)  Vancomycin-resistant Staphylococcus aureus (VRSA) 53