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Epidemiology and Surveillance

Surveillance of Carbapenem-Resistant Klebsiella pneumoniae: Tracking Molecular Epidemiology and Outcomes through a Regional Network

David van Duin, Federico Perez, Susan D. Rudin, Eric Cober, Jennifer Hanrahan, Julie Ziegler, Raymond Webber, Jacqueline Fox, Pamela Mason, Sandra S. Richter, Marianne Cline, Geraldine S. Hall, Keith S. Kaye, Michael R. Jacobs, Robert C. Kalayjian, Robert A. Salata, Julia A. Segre, Sean Conlan, Scott Evans, Vance G. Fowler Jr., Robert A. Bonomo
David van Duin
aDivision of Infectious Diseases, University of North Carolina, Chapel Hill, North Carolina, USA
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Federico Perez
bResearch Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, Ohio, USA
fDivision of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Susan D. Rudin
bResearch Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, Ohio, USA
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Eric Cober
cDepartment of Infectious Diseases, Cleveland Clinic, Cleveland, Ohio, USA
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Jennifer Hanrahan
eDepartment of Medicine, MetroHealth Medical Center, Cleveland, Ohio, USA
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Julie Ziegler
eDepartment of Medicine, MetroHealth Medical Center, Cleveland, Ohio, USA
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Raymond Webber
fDivision of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Jacqueline Fox
dMedicine Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Pamela Mason
dMedicine Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Sandra S. Richter
gDepartment of Microbiology, Cleveland Clinic, Cleveland, Ohio, USA
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Marianne Cline
gDepartment of Microbiology, Cleveland Clinic, Cleveland, Ohio, USA
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Geraldine S. Hall
gDepartment of Microbiology, Cleveland Clinic, Cleveland, Ohio, USA
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Keith S. Kaye
hDivision of Infectious Diseases, Detroit Medical Center, Wayne State University, Detroit, Michigan, USA
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Michael R. Jacobs
iDepartment of Pathology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Robert C. Kalayjian
eDepartment of Medicine, MetroHealth Medical Center, Cleveland, Ohio, USA
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Robert A. Salata
fDivision of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Julia A. Segre
jNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
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Sean Conlan
jNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
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Scott Evans
kDepartment of Biostatistics and Center for Biostatistics in AIDS Research, Harvard School of Public Health, Boston, Massachusetts, USA
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Vance G. Fowler Jr.
lDivision of Infectious Diseases, Duke University Medical Center, Durham, North Carolina, USA
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Robert A. Bonomo
bResearch Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, Ohio, USA
fDivision of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
iDepartment of Pathology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
mDepartment of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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DOI: 10.1128/AAC.02636-14
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  • FIG 1
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    FIG 1

    Flow diagram outlining the characteristics of the patients in this study. In each box, the origin of admission for the index hospitalization, the first culture site, and whether the first culture represented infection or colonization are shown.

  • FIG 2
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    FIG 2

    (A) Numbers of colonizations and infections per anatomical site of CR K. pneumoniae-positive cultures. Percentages are the proportions of patient with infections. (B) Selected antimicrobial susceptibility rates. Note that breakpoints defined by the CLSI were used for aminoglycosides and criteria set forth by the EUCAST were used for colistin and tigecycline. TMP/SMX, trimethoprim-sulfamethoxazole.

  • FIG 3
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    FIG 3

    Kaplan-Meier survival curves showing times from the first positive culture to death in the hospital for patients with CR K. pneumoniae infections by source of infection, censoring at 30 days, or time of discharge, whichever occurred first (P = 0.015 by log rank test).

Tables

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  • TABLE 1

    Demographic characteristics of the patients in this study

    Patient characteristicAllInfectedColonized
    Total no.251114137
    Median age, yr (IQR)70 (58–81)67 (54–81)73 (64.5–83)
    No. (%) female150 (60)67 (59)83 (61)
    No. (%) who were:
        White, non-Hispanic145 (58)63 (55)82 (60)
        Black, non-Hispanic95 (38)49 (43)46 (34)
        Hispanic7 (3)2 (2)5 (4)
        Other4 (2)04 (3)
    No. (%) with:
        Diabetes mellitus140 (56)66 (58)74 (54)
        Heart diseasea142 (57)62 (55)80 (58)
        Renal insufficiency65 (26)31 (27)34 (25)
        COPDb73 (29)30 (27)43 (31)
        Malignancy36 (14)18 (16)18 (13)
        Dementia54 (22)22 (19)32 (23)
        Immunocompromise25 (10)14 (12)11 (8)
            Prednisone therapyc12 (5)6 (5)6 (4)
            Solid-organ transplant10 (4)5 (4)5 (4)
            HIV infection2 (1)2 (2)0
            Hematopoietic stem cell  transplant1 (0)1 (1)0
    Median Charlson comorbidity index (IQR)4 (2–6)4 (2–6)4 (2–6)
    No. (%) from:
        SNF123 (49)50 (44)73 (53)
        Home71 (28)34 (30)37 (27)
        Another hospital32 (13)20 (18)12 (8)
        Long-term acute-care facility25 (10)10 (9)15 (11)
    • ↵a Coronary artery disease and/or congestive heart failure.

    • ↵b COPD, chronic obstructive pulmonary disease.

    • ↵c Prednisone or equivalent corticosteroid at 10 mg/day.

  • TABLE 2

    Outcome of first admission per patienta

    Patient characteristicAllInfectedColonizedP valueb
    Total no.251114137
    No. (%) at following location at time of culture:0.48
        Emergency department66 (26)26 (23)40 (29)
        Ward108 (43)50 (44)58 (42)
        ICU77 (31)38 (33)39 (28)
    Median PBS (IQR)2 (1–4)2 (1–4)2 (0–4)0.10
    Median no. of days to first positive culture (IQR)1 (0–4)1 (0–6)0 (0–4)0.08
    No. (%) with CR K. pneumoniae isolated:
        Within first 24 h124 (49)54 (47)70 (51)
        On days 2–569 (27)29 (25)40 (29)
        After day 558 (23)31 (27)27 (20)
    Median LOS, days (IQR)9 (5–17)10 (6–20)8 (5–15)0.11
    No. (%) with ICU admission129 (51)65 (57)64 (47)0.13
    Median no. of days in ICU (IQR)a6 (3–15)7 (3.5–15.5)6 (3–15)0.31
    No. (%) with:
        Surgery60 (24)38 (33)22 (16)<0.01
        Renal insufficiency91 (36)43 (38)48 (35)0.69
        Renal replacement therapy46 (18)24 (21)22 (16)0.33
        Mechanical ventilation85 (34)47 (41)38 (28)0.03
        Tracheostomy39 (16)17 (15)22 (16)0.86
    No. (%) with following disposition:0.05
        Death/hospice45 (18)26 (23)19 (14)
        Home43 (17)19 (17)24 (18)
        SNF107 (43)39 (35)68 (50)
        Other56 (22)30 (26)26 (19)
    • ↵a For patients with any ICU admission.

    • ↵b Fisher's exact test for binomial variables, t test for normally distributed continuous variables, and likelihood ratio test for distributions.

  • TABLE 3

    Comparison of patients with rep-PCR type A and B strains

    Patient characteristicABORa (95% CI)P valueb
    Total no.3952
    No. (%) with:
        Any carbapenemase39 (100)51 (98)
        KPC-236 (92)2 (4)294.00 (58.16–2552.68)<0.001
        KPC-33 (7)49 (96)0.00 (0.00–0.02)<0.001
    No. (%) with isolate from:0.135
        Urine19 (49)36 (69)
        Blood11 (28)8 (15)2.61 (0.90–7.81)
        Other9 (23)8 (15)2.13 (0.70–6.57)
    No. (%) infected22 (56)27 (51)1.20 (0.52–2.78)0.67
    No. with susceptible isolates/no. with isolates tested (%)
        Colistin32/35 (91)37/39 (95)0.57 (0.07–3.69)0.66
        Tigecycline23/25 (92)28/41 (68)5.34 (1.30–36.41)0.018
        Amikacin7/18 (39)42/48 (88)0.09 (0.02–0.31)<0.001
        Gentamicin30/38 (79)7/52 (13)24.11 (8.39–79.38)<0.001
        Trimethoprim-sulfamethoxazole9/36 (25)22/52 (42)0.45 (0.17–1.13)0.091
    No. (%) from:
        SNFs9 (23)25 (48)0.043
        Home15 (38)15 (29)2.78 (0.99–8.16)
        Other15 (38)12 (23)3.47 (1.21–10.55)
    No. (%) with strain present at admission14 (36)28 (54)0.48 (0.20–1.11)0.088
    Median LOS (IQR)12 (6–32)8 (5–19.75)1.02c (1.00–1.04)0.043
    No. (%) with following disposition:
        Death/hospice11 (28)10 (19)0.72
        Home7 (18)13 (25)0.49 (0.13–1.69)
        SNF15 (38)20 (38)0.68 (0.22–2.02)
        Other6 (15)9 (17)0.61 (0.15–2.29)
    • ↵a OR for A versus B.

    • ↵b Univariate logistic regression.

    • ↵c OR per day increase in LOS.

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Surveillance of Carbapenem-Resistant Klebsiella pneumoniae: Tracking Molecular Epidemiology and Outcomes through a Regional Network
David van Duin, Federico Perez, Susan D. Rudin, Eric Cober, Jennifer Hanrahan, Julie Ziegler, Raymond Webber, Jacqueline Fox, Pamela Mason, Sandra S. Richter, Marianne Cline, Geraldine S. Hall, Keith S. Kaye, Michael R. Jacobs, Robert C. Kalayjian, Robert A. Salata, Julia A. Segre, Sean Conlan, Scott Evans, Vance G. Fowler Jr., Robert A. Bonomo
Antimicrobial Agents and Chemotherapy Jun 2014, 58 (7) 4035-4041; DOI: 10.1128/AAC.02636-14

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Surveillance of Carbapenem-Resistant Klebsiella pneumoniae: Tracking Molecular Epidemiology and Outcomes through a Regional Network
David van Duin, Federico Perez, Susan D. Rudin, Eric Cober, Jennifer Hanrahan, Julie Ziegler, Raymond Webber, Jacqueline Fox, Pamela Mason, Sandra S. Richter, Marianne Cline, Geraldine S. Hall, Keith S. Kaye, Michael R. Jacobs, Robert C. Kalayjian, Robert A. Salata, Julia A. Segre, Sean Conlan, Scott Evans, Vance G. Fowler Jr., Robert A. Bonomo
Antimicrobial Agents and Chemotherapy Jun 2014, 58 (7) 4035-4041; DOI: 10.1128/AAC.02636-14
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    • ABSTRACT
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