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Research Article
1 June 2010

Risk Factors and Outcomes Associated with Acquisition of Colistin-Resistant KPC-Producing Klebsiella pneumoniae: a Matched Case-Control Study

ABSTRACT

A matched 1:3 case-control study investigated factors predicting colistin-resistant versus colistin-susceptible KPC-producing Klebsiella pneumoniae acquisition and its impact on patient outcomes. Case patients were more often admitted from other institutions (P = 0.019) and had longer therapy with β-lactam/β-lactamase inhibitors (P = 0.002) and higher overall mortality (P = 0.05). All 52 study isolates were clonally related, suggesting horizontal dissemination. None of these parameters independently predicted colistin resistance, which probably occurred in a susceptible KPC-KP strain that was subsequently disseminated horizontally.
Klebsiella pneumoniae isolates producing KPC carbapenemases (KPC-KP) have been widely disseminated in several regions worldwide (15). In Greek hospitals, carbapenem resistance among K. pneumoniae isolates, mediated by verona imipenemase (VIM) or, more recently, KPC enzymes is a major problem (16, 17). Colistin represents one of the few antimicrobials active against KPC producers (15) and is frequently used for the treatment of the respective infections. The emergence of colistin resistance among KPC-KP (1, 2, 5, 11) poses a new threat that necessitates detailed investigation.
In our hospital, KPC-KP isolates are widespread, and since April 2008, colistin-resistant (CR) KPC-KP isolates have also emerged. Studies analyzing risk factors for CR KPC-KP acquisition have not been described in the literature. In this context, we conducted a case-control study to investigate the risk factors and epidemiological characteristics associated with the acquisition of CR KPC-KP and its impact on patient outcomes.

Hospital setting.

The Tzaneio General Hospital, Piraeus, Greece, is a 480-bed tertiary care hospital that has a 10-bed general intensive care unit (ICU) and a 10-bed cardiology ICU.

Selection of cases and controls and matching criteria.

The study population included adults hospitalized from April 2008 through June 2009, when a matched 1:3 case-control study was initiated. All patients from whom a CR KPC-KP (colistin MIC, ≥4 mg/liter) was isolated from a clinical sample (not surveillance culture) during the study period were defined as cases. For each case patient, three patients that yielded a colistin-susceptible (CS) KPC-KP clinical isolate during the same period were selected as controls. We did not include control patients harboring carbapenemase-negative K. pneumoniae isolates, as such isolates are rarely recovered from critically ill patients in our institution. Matching was performed according to the site of isolation, considering the patient's infection versus colonization status and ward of hospitalization. One isolate per patient, recovered from the most clinically significant site, was included in the study.

Phenotypic testing.

Identification and susceptibility testing of isolates were performed by using a Vitek 2 system (bioMérieux, France). Colistin and tigecycline MICs were determined by the CLSI reference broth microdilution method (4). For tigecycline, the U.S. Food and Drug Administration recommendation was used (≤2 μg/ml, susceptible; ≥8 μg/ml, resistant), and for colistin, the European Committee on Antimicrobial Susceptibility Testing (EUCAST) clinical breakpoints for Enterobacteriaceae were used (≤2 μg/ml, susceptible; >2 μg/ml, resistant) (7).
Phenotypic screening for carbapenemases was performed for all isolates exhibiting reduced susceptibility to carbapenems (MIC, >1 μg/ml) by using the modified Hodge test and the combined disk tests using carbapenems with and without EDTA or boronic acid (8, 18).

Molecular typing.

Pulsed-field gel electrophoresis (PFGE) of SpeI-digested genomic DNA of the KPC-producing K. pneumoniae strains was performed with a CHEF-DR III system (Bio-Rad, Hemel Hempstead, United Kingdom) (16). Three contemporary KPC-negative K. pneumoniae isolates were also genotyped in parallel for comparison.

PCR assays and DNA sequencing.

Broad-spectrum β-lactamase genes (KPC, plasmidic AmpC, OXA-48 carbapenemase, metallo-β-lactamase [MBL], and extended-spectrum β-lactamase [ESBL] genes) were detected by PCR and sequencing (16).

Abstraction of patient data.

Data regarding cases and controls were extracted from patients' medical charts. Parameters assessed included age and gender, site of isolation, infection versus colonization (9), ward and duration of hospitalization at isolation time, comorbidities, prior exposures to antibiotics for ≥3 days, invasive procedures, nosocomial environment exposures (admission from another institution, prior hospitalization and ICU stay, prior surgery), and outcomes (in-hospital mortality and attributable mortality).

Statistical analysis.

Continuous variables were compared between groups by t test. Categorical variables were compared using Fisher's exact test. A logistic regression model that included parameters with P values of ≤0.1 between groups in the univariate analysis was fitted to identify independent risk factors associated with colistin resistance. A two-tailed P value of ≤0.05 was considered statistically significant. Statistical analyses were performed with SPSS (SPSS, Inc., Chicago, IL).
Of the 13 case patients, 8 were infected (7 with bloodstream infections) and 5 were colonized by CR KPC-KP isolates. Of note, 2 case patients carried CS before yielding CR KPC-KP and were receiving colistin in the meantime. Most of the case patients (9 of 13) were hospitalized at the general ICU, while 3 patients were hospitalized in medical wards and 1 in a surgical ward, respectively. The isolates did not cluster in time, as usually 1 new case patient was identified each month of the study period. The 39 control patients (24 infected and 15 colonized; 27 general ICU and 12 non-ICU patients) were selected using the matching criteria among 71 patients that yielded CS KPC-KP isolates during the same period.
All 13 CR KPC-KP isolates were susceptible to tigecycline, 12 to gentamicin, and 3 to meropenem. Colistin MICs ranged from 4 to 24 μg/ml. Among the 39 CS KPC-KP isolates, 38 were susceptible to gentamicin, 33 to tigecycline, 16 to meropenem, and 9 to imipenem. All isolates were phenotypically identified as possible KPC-KP by a positive modified Hodge test, a negative EDTA test, and a positive boronic acid disk test. All 52 isolates were found by PCR and sequencing to carry blaKPC-2, and 48 of them were found to carry the blaSHV-12 allele. Other broad-spectrum β-lactamase genes were not detected.
PFGE analysis showed that the 13 CR and 39 CS KPC-KP isolates belonged to a single pulsotype, with five subtypes that differed from each other by two bands (Fig. 1). Forty-five isolates (12 CR and 33 CS) belonged to the predominant subtype, Ia, while 1 CR isolate belonged to subtype Ib. Six CS isolates belonged to subtypes Ic to Ie; 3 to subtype Ic, 1 to subtype Id, and 2 to subtype Ie. The isolates of subtypes Ib and Id came from patients hospitalized in the medical department, while the isolates of subtypes Ic and Ie were recovered from ICU patients.
The univariate analysis between patient groups is presented in Tables 1 and 2. Regarding nosocomial exposure data, the only factor with a significant correlation with CR KPC-KP acquisition was the admission from other hospitals (P = 0.019). Regarding the antibiotic exposure, the duration of β-lactam/β-lactamase inhibitor combination administration was significantly longer for case patients (P = 0.002). Multivariable analysis revealed that none of the variables entered into the model was an independent risk factor for colistin resistance (data not shown).
The overall in-hospital mortality (mortality due to all causes of death) was significantly higher for case patients than for controls (69.2 versus 35.9%; P = 0.05). However, the overall mortality of the patients with clinically significant KPC-KP infection (75.0 versus 54.2%; P = 0.42) and the mortality attributed to KPC-KP infection (37.5% in both groups) did not differ between groups.
The global spread of KPC-KP represents an emerging phenomenon with clinical and public health implications. Treatment options for KPC infections are very limited, and colistin has been used either as monotherapy or in combination schemes (1, 6, 13, 14). Indeed, resistance to colistin has been only sporadically reported among KPC producers (1, 2, 3) and has been reported to occur during treatment for KPC-KP infections (5, 12). The emergence of CR KPC-KP in our hospital prompted this study to identify possible risk factors that contributed to its development.
Although several studies have focused on the description of outbreaks caused by KPC producers (1, 2, 6, 13, 14, 16), there is scarce data regarding risk factors for KPC-KP isolations (10). Risk factors associated with CR KPC-KP acquisition have not yet been described. The present case-control study investigates the characteristics of patients harboring CR compared with patients harboring CS KPC-KP. The study isolates belonged to a single PFGE type with five closely related subtypes. The predominant subtype included the vast majority of CR and CS KPC-KP isolates, possibly indicating that resistance was initially developed with a CS KPC-KP isolate under the pressure of colistin use and that the resistant strain was thereafter disseminated horizontally to other patients.
The proportion of patients that received colistin and the duration of its administration were not associated with CR KPC-KP isolation. However, the role of colistin usage may have been underestimated, as the molecular epidemiology findings support the clonal transmission of CR KPC-KP, independently of colistin administration.
The admission from other institutions was associated with CR KPC-KP isolation. Notably, two patients yielded CR KPC-KP upon admission to our hospital, indicating that the isolate was acquired elsewhere. It could be hypothesized that admission from other hospitals may implicate a longer exposure to potential risk factors, although detailed clinical data for the previous hospitalizations were not available.
It is of interest that many patients from both groups had β-lactam/β-lactamase inhibitor administrations that were significantly longer for case patients, prior to the KPC-KP isolation. This was probably due to the high MICs of β-lactam/β-lactamase inhibitors (usually >256 μg/ml), which might select for KPC-KP.
Considerable differences between the two groups, which included mainly severely ill patients, regarding their clinical characteristics and the mortality attributed to KPC-KP infections, were not identified. However, the significantly higher overall mortality of patients harboring CR KPC-KP may indicate a more critical clinical status.
Finally, none of the variables examined was independently associated with CR KPC-KP acquisition, supporting horizontal transmission as the main route of CR KPC-KP dissemination and underlining the need for more intensive infection control measures.
FIG. 1.
FIG. 1. PFGE profiles of 12 CR KPC-KP and 10 CS KPC-KP isolates representing all subtypes of the single KPC-KP clone. Lanes M, lambda phage molecular size marker; lanes c1 to c3, three contemporary KPC-negative K. pneumoniae isolates recovered during the study period; lanes 1 to 10 and 12, CR KPC-KP of the subtype Ia; lane 11, CR KPC-KP of the subtype Ib; lanes 13 to 16, 18, 19, and 22, CS KPC-KP of the subtype Ia; lane 17, CS KPC-KP of the subtype Ic; lane 20, CS KPC-KP of the subtype Id; lane 21, CS KPC-KP of the subtype Ie.
TABLE 1.
TABLE 1. Univariate analysis for demographic and hospitalization data and comorbidities of patients with CR KPC-KP and CS KPC-KP isolates
Variable No. (%) of patients   P value Mean ± SDa   P value
  CR KPC-KPb CS KPC-KPc   CR KPC-KP CS KPC-KP  
Demographics            
    Age (yr)       68.7 ± 17.4 64.1 ± 21.0 0.48
    Male sex 8 (61.5) 27 (69.2) 0.735      
Hospitalization data            
    Hospital stay (days)       20.5 ± 20.8 16.4 ± 12.3 0.382
    ICU stay (days)       26.4 ± 22.5 17.9 ± 11.4 0.14
    Admission from other hospital 9 (69.2) 11 (28.2) 0.019      
    Prior hospitalization 9 (69.2) 25 (64.1) 1      
        Duration (days)       7.9 ± 7.3 14.5 ± 9.5 0.248
    Prior ICU stay 4 (30.8) 5 (12.8) 0.203      
        Duration (days)       30.3 ± 26.8 32.8 ± 49 0.929
Comorbidities            
    Heart and vascular disease 7 (53.8) 18 (46.2) 0.752      
    Cerebrovascular disease 1 (7.7) 9 (23.1) 0.419      
    Craniocerebral injury 2 (15.4) 9 (23.1) 0.709      
    Malignancy 2 (15.4) 7 (17.9) 1      
    Chronic obstructive pulmonary disease 4 (30.8) 6 (15.4) 0.244      
    Renal failure 4 (30.8) 13 (33.3) 1      
    Neurological disorders 4 (30.8) 7 (17.9) 0.435      
    Diabetes mellitus 0 6 (15.4) 0.317      
    Prior surgery 7 (53.8) 21 (53.8) 1      
a
Units are given in the Variable column.
b
A total of 13 patients were tested.
c
A total of 39 patients were tested.
TABLE 2.
TABLE 2. Univariate analysis for prior antibiotic exposure and invasive procedures among patients with CR KPC-KP and CS KPC-KP isolates
Variable No. (%) of patients   P value Mean duration of indicated exposure or procedure ± SD (days)   P value
  CR KPC-KP CS KPC-KP   CR KPC-KP CS KPC-KP  
Prior antibiotic exposure            
    3rd- and 4th-generation cephalosporins 5 (38.5) 14 (35.9) 1 6.4 ± 3.4 9.7 ± 5 0.194
    β-Lactam/β-lactamase inhibitor combinations 6 (46.2) 27 (69.2) 0.187 18.7 ± 6.5 10.5 ± 5.2 0.002
    Aminoglycosides 5 (38.5) 11 (28.2) 0.506 12.2 ± 7 8.6 ± 4.8 0.243
    Quinolones 7 (53.8) 26 (66.7) 0.51 13.7 ± 8.2 9.6 ± 5.3 0.116
    Carbapenems 5 (38.5) 9 (23.1) 0.3 18.4 ± 13.4 12.2 ± 9.3 0.327
    Colistin 4 (30.8) 8 (20.5) 0.466 20.5 ± 13 15.1 ± 7.2 0.369
    Tigecycline 3 (23.1) 6 (15.4) 0.674 15.7 ± 11.5 15.0 ± 4.0 0.897
    Glycopeptides 7 (53.8) 13 (33.3) 0.208 13.4 ± 11.1 14.5 ± 5.5 0.766
    Linezolid 4 (30.8) 6 (15.4) 0.244 14.0 ± 8.3 11.0 ± 7.4 0.564
    Antifungals 4 (30.8) 9 (23.1) 0.714 27.8 ± 22.0 11.6 ± 9.0 0.077
Invasive procedures            
    Mechanical ventilation 9 (69.2) 26 (66.7) 1 21 ± 15.6 14.4 ± 7.9 0.105
    Central line catheter 13 (100) 30 (76.9) 0.091 20.2 ± 21.0 17.0 ± 11.4 0.517
    Urinary catheter 13 (100) 37 (94.9) 1 20.5 ± 20.8 15.4 ± 11.8 0.282
    Nasogastric tube 11 (84.6) 30 (76.9) 0.709      
    Foreign materiala 5 (38.5) 9 (23.1) 0.3      
    Surgical operations after admission 3 (23.1) 10 (25.6) 1      
a
Foreign material included prosthetic valves, orthopedic devices, vascular and biliary stents, and pacemakers.

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Published In

cover image Journal of Clinical Microbiology
Journal of Clinical Microbiology
Volume 48Number 6June 2010
Pages: 2271 - 2274
PubMed: 20375234

History

Received: 24 November 2009
Revision received: 28 January 2010
Accepted: 29 March 2010
Published online: 1 June 2010

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Contributors

Authors

Olympia Zarkotou
Department of Microbiology
Spyros Pournaras [email protected]
Department of Microbiology, Medical School, University of Thessaly, Larissa
Evangelia Voulgari
Department of Microbiology, Medical School, University of Athens, Athens, Greece
Georgios Chrysos
Infectious Diseases Unit
Athanassios Prekates
Dionysios Voutsinas
3rd Medical Department, Tzaneio General Hospital, Piraeus
Katerina Themeli-Digalaki
Department of Microbiology
Athanassios Tsakris
Department of Microbiology, Medical School, University of Athens, Athens, Greece

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