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Clinical Therapeutics

Predictors of Carbapenem-Resistant Klebsiella pneumoniae Acquisition among Hospitalized Adults and Effect of Acquisition on Mortality

Mitchell J. Schwaber, Shiri Klarfeld-Lidji, Shiri Navon-Venezia, David Schwartz, Azita Leavitt, Yehuda Carmeli
Mitchell J. Schwaber
1Division of Epidemiology and Preventive Medicine
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  • For correspondence: mitchells@tasmc.health.gov.il
Shiri Klarfeld-Lidji
1Division of Epidemiology and Preventive Medicine
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Shiri Navon-Venezia
1Division of Epidemiology and Preventive Medicine
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David Schwartz
2Clinical Microbiology Laboratory, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
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Azita Leavitt
1Division of Epidemiology and Preventive Medicine
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Yehuda Carmeli
1Division of Epidemiology and Preventive Medicine
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DOI: 10.1128/AAC.01020-07
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Tables

  • TABLE 1.

    Sources of samples for culturea

    Source% of patients
    CSKSCRKP
    Unknown or other06
    Blood/intravenous line1513
    Respiratory98
    Urine5540
    Wound/skin/soft tissue1519
    Abdomen715
    • ↵ a P = 0.58 by Kruskall-Wallis test.

  • TABLE 2.

    Univariate predictors of Klebsiella sp. isolation

    CovariateNo. (%) of patientsaTime-adjusted comparison of patients with CRKP and controlsTime-adjusted comparison of patients with CSKS and controls
    Klebsiella casesControls (n = 59)OR (95% CI)POR (95% CI)P
    Carbapenem resistant (n = 48)Carbapenem susceptible (n = 56)
    Male sex23 (48)18 (32)24 (41)0.9 (0.3-2.6)0.860.7 (0.3-1.6)0.38
    Diabetes mellitus15 (31)15 (27)18 (31)1.1 (0.4-3.2)0.870.9 (0.4-2.2)0.87
    Cardiovascular disease29 (60)35 (64)64 (64)1.3 (0.4-3.6)0.680.9 (0.4-1.9)0.72
    Pulmonary disease9 (19)9 (16)14 (24)0.2 (0.1-1.1)0.070.6 (0.2-1.5)0.28
    Renal disease15 (31)10 (18)12 (20)1.1 (0.4-3.6)0.820.9 (0.4-2.4)0.86
    Liver disease2 (4)4 (7)3 (5)0.2 (0.02-3.0)0.251.3 (0.3-6.4)0.75
    Neurologic disease20 (42)16 (29)10 (17)6.7 (2.1-21.4)0.0012.4 (1.0-6.0)0.06
    Malignancy15 (31)19 (35)9 (15)1.7 (0.5-5.7)0.373.1 (1.3-7.9)0.02
    Immunosuppression11 (23)8 (15)4 (7)1.9 (0.4-8.0)0.402.3 (0.6-8.2)0.21
    High no. of comorbidities19 (40)20 (36)19 (32)1.3 (0.4-3.5)0.681.3 (0.6-3.0)0.48
    Admission from institution15 (31)9 (16)6 (10)9.9 (2.7-36.4)<0.0011.7 (0.5-5.4)0.37
    Transplantation2 (4)0 (0)0 (0)
    Poor functional status29 (62)23 (41)8 (14)14.3 (4.2-48.5)<0.0014.6 (1.8-11.8)0.001
    High Charlson comorbdity index score19 (40)23 (41)11 (19)3.0 (1.0-8.9)0.053.5 (1.5-8.3)0.005
    Presence of central venous line20 (44)10 (19)2 (4)5.6 (1.0-32.7)0.064.5 (0.9-22.5)0.07
    Presence of Foley catheter38 (83)28 (52)16 (28)6.0 (2.0-18.2)0.0022.2 (1.0-5.0)0.06
    Surgery18 (38)13 (23)8 (14)0.8 (0.2-3.2)0.761.1 (0.4-3.4)0.86
    Nonsurgical procedure18 (38)10 (18)1 (2)12.5 (1.3-124.8)0.038.0 (0.9-69.3)0.06
    ICU stay18 (38)10 (18)1 (2)9.6 (1.0-92.8)0.057.5 (0.8-68.1)0.07
    Mechanical ventilation22 (49)10 (18)2 (4)5.2 (0.9-30.7)0.074.2 (0.8-21.2)0.09
    Dialysis4 (9)1 (2)0 (0)
    High invasive device score28 (58)14 (25)4 (7)5.7 (1.5-22.1)0.013.3 (1.0-11.4)0.06
    Receipt of antibiotics39 (83)19 (34)11 (19)6.2 (1.9-20.3)0.0031.4 (0.5-3.7)0.51
    • ↵ a The median age of the patients with CRKP infection was 77 years (IQR, 63 to 83 years), that of the patients with CSKS infection was 77 years (IQR, 65 to 84 years), and that of the hospitalized controls was 68 years (IQR, 53 to 77 years). In the time-adjusted comparison of patients with CRKP and controls, the OR for the median age was 1.04 (95% CI, 1.01 to 1.08; P = 0.02); and in the time-adjusted comparison of patients with CSKS and controls, the OR for the median age was 1.04 (95% CI, 1.01 to 1.06; P = 0.007).

  • TABLE 3.

    Case-control comparison of antibiotic use by classa

    Antibiotic classNo. (%) of patientsP
    CRKPControls
    β-Lactams28 (58)12 (20)<0.001
    β-Lactam-β-lactamase inhibitor combinations7 (15)1 (2)0.02
    Aminoglycosides13 (27)2 (3)<0.001
    Fluoroquinolones13 (27)4 (7)0.007
    Carbapenems15 (31)0 (0)<0.001
    Other antibiotic classes31 (65)4 (7)<0.001
    • ↵ a A similar comparison between the CSKS group and the controls revealed no results with P values of ≤0.05.

  • TABLE 4.

    Multivariable model of risk factors for Klebsiella sp. isolation

    CovariateTime-adjusted comparison of patients with CRKP and controlsTime-adjusted comparison of patients with CSKS and controls
    OR (95% CI)POR (95% CI)P
    Malignancy3.2 (1.2-9.0)0.02
    Poor functional status15.4 (4.0-58.6)<0.0016.3 (2.3-17.2)<0.001
    Nonsurgical procedure9.4 (1.0-92.6)0.05
    ICU stay17.4 (1.5-201.9)0.0212.5 (1.3-125.4)0.03
    Receipt of antibioticsa4.4 (1.0-19.2)0.05
    Receipt of a fluoroquinolone7.2 (1.1-49.4)0.04
    Length of stay prior to enrollment1.08 (1.00-1.17)0.061.02 (0.96-1.08)0.61
    • ↵ a Carbapenems could not be entered independently into the model, as no members of the control group received antibiotics from this class.

  • TABLE 5.

    Univariate predictors of mortality for entire cohort

    CovariateNo. (%) of patientsa who:P
    Died (n = 29)Lived (n = 134)
    Male sex14 (48)51 (38)0.40
    Diabetes mellitus10 (36)38 (28)0.50
    Cardiovascular disease14 (50)88 (66)0.14
    Pulmonary disease8 (29)24 (18)0.20
    Renal disease10 (36)27 (20)0.09
    Liver disease4 (14)5 (4)0.05
    Neurologic disease8 (29)38 (28)1.00
    Malignancy13 (46)30 (22)0.02
    Immunosuppression8 (29)15 (11)0.03
    High no. of comorbidities13 (45)45 (34)0.29
    Admission from an institution6 (21)24 (18)0.61
    Transplantation1 (4)1 (1)0.32
    Poor functional status17 (59)43 (32)0.01
    High Charlson cormobidity index score14 (48)39 (29)0.05
    Presence of central venous line13 (48)19 (15)<0.001
    Presence of Foley catheter24 (83)58 (45)<0.001
    Surgery9 (31)30 (22)0.34
    Nonsurgical procedure9 (31)20 (15)0.06
    ICU stay12 (41)17 (13)<0.001
    Mechanical ventilation17 (61)17 (13)<0.001
    Dialysis3 (10)2 (2)0.04
    Receipt of antibiotics22 (79)47 (35)<0.001
    Isolation of Klebsiella28 (97)76 (57)<0.001
        Carbapenem resistant21 (72)27 (20)
        Carbapenem susceptible7 (24)49 (37)
    • ↵ a The median age for the patients who died was 75 years (IQR, 65 to 84 years), and that of the patients who lived was 73 years (IQR, 60 to 81 years) (P = 0.43). The median length of stay for the patients who died was 19 days (IQR, 10 to 30 days), and that of the patients who lived was 2 days (IQR, 1 to 8 days) (P < 0.001).

  • TABLE 6.

    Multivariable risk factors for mortality

    CovariatePatients with CRKP vs patients with CSKSPatients with CRKP vs hospitalized controls
    OR (95% CI)POR (95% CI)P
    Carbapenem-resistant Klebsiellaa5.4 (1.7-17.1)0.0056.7 (2.4-18.8)<0.001
    Mechanical ventilation4.9 (1.6-14.7)0.005NSb
    Malignancy3.9 (1.2-12.2)0.02NS
    • ↵ a After introduction of the McCabe score variable into the models, the isolation of CRKP remained an independent predictor of in-hospital mortality, albeit with a lower OR (for patients with CRKP versus those with CSKS, OR, 3.9; 95% CI, 1.1 to 13.6; P = 0.03; for patients with CRKP versus controls, OR, 5.0; 95% CI, 1.7 to 14.8; P = 0.004).

    • ↵ b NS, not significant.

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Predictors of Carbapenem-Resistant Klebsiella pneumoniae Acquisition among Hospitalized Adults and Effect of Acquisition on Mortality
Mitchell J. Schwaber, Shiri Klarfeld-Lidji, Shiri Navon-Venezia, David Schwartz, Azita Leavitt, Yehuda Carmeli
Antimicrobial Agents and Chemotherapy Feb 2008, 52 (3) 1028-1033; DOI: 10.1128/AAC.01020-07

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Predictors of Carbapenem-Resistant Klebsiella pneumoniae Acquisition among Hospitalized Adults and Effect of Acquisition on Mortality
Mitchell J. Schwaber, Shiri Klarfeld-Lidji, Shiri Navon-Venezia, David Schwartz, Azita Leavitt, Yehuda Carmeli
Antimicrobial Agents and Chemotherapy Feb 2008, 52 (3) 1028-1033; DOI: 10.1128/AAC.01020-07
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KEYWORDS

Anti-Bacterial Agents
carbapenems
Drug Resistance, Bacterial
Hospitalization
Klebsiella Infections
Klebsiella pneumoniae

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