Skip to main content Accessibility help


  • Access
  • Open access


      • Send article to Kindle

        To send this article to your Kindle, first ensure is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

        Note you can select to send to either the or variations. ‘’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

        Find out more about the Kindle Personal Document Service.

        Risk factors and epidemiologic predictors of blood stream infections with New Delhi Metallo-b-lactamase (NDM-1) producing Enterobacteriaceae
        Available formats

        Send article to Dropbox

        To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

        Risk factors and epidemiologic predictors of blood stream infections with New Delhi Metallo-b-lactamase (NDM-1) producing Enterobacteriaceae
        Available formats

        Send article to Google Drive

        To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

        Risk factors and epidemiologic predictors of blood stream infections with New Delhi Metallo-b-lactamase (NDM-1) producing Enterobacteriaceae
        Available formats
Export citation


Carbapenem-resistant Enterobacteriaceae conferred by New Delhi metallo-b-lactamase (NDM-1) resistance mechanism are endemic in India and Southeast Asia. An understanding of risk factors for NDM-1 infections is necessary to guide prevention strategies. We performed a retrospective case-control study of patients admitted at Christian Medical College Hospital, Vellore, India between May 2010 and August 2014 with Klebsiella pneumoniae blood stream infection (BSI). We compared patients with BSI caused by NDM-1 producing strains to two control groups: BSI with other multidrug resistant (MDR) strains and BSI with pan-susceptible strains. The study groups were assessed for risk factors for the outcomes: (1) infection with any MDR strain compared to pan-susceptible; and, (2) infection with NDM-1 strain as compared with other MDR and (3) Mortality. A total of 101 patients with BSI with NDM-1 producing Klebsiella pneumoniae were matched to two groups of controls: 112 with non-NDM-1 MDR strains and 101 with pan-susceptible strains. Medical (OR 10.4) and neonatal (OR 0.7) ICU admission, central venous catheter placement (CVC, OR 7.4) predicted MDR BSI. Prior carbapenem use (OR 8.4) and CVC (OR 4.8) predicted acquisition of an NDM-1 strain. Significant predictors for mortality included ICU stay (OR 3.0), mechanical ventilation (OR 3.2), female gender (OR 2.2), diabetes (OR 0.4). CVC placement, prior carbapenem use and ICU admission were significantly associated with BSI with NDM-1 producing and other MDR strains.



These authors contributed equally to this work.


Antimicrobial resistance, particularly among Enterobacteriaceae is associated with worse healthcare outcomes including longer hospitalisations, greater healthcare expenditures, as well as increased morbidity and mortality [1]. Given the frequent resistance of Enterobacteriaceae to fluoroquinolones and extended-spectrum β lactamases (ESBL), carbapenems have been the treatment of choice for multi-drug resistant (MDR) gram-negative organisms. Their increasing use, however, has led to the emergence of carbapenem-resistant Enterobacteriaceae (CRE) strains for which available therapeutic options are limited and associated mortality is high [2, 3].

In 2008, a new mechanism of carbapenem-resistance, New Delhi metallo-b-lactamase (NDM-1) was identified in isolates from the urine of a Swedish patient admitted to a hospital in New Delhi [4]. This resistance mechanism has since been identified in a range of gram-negative organisms with evidence of both chromosomal integration and carriage in plasmids [5]. NDM-1 positive isolates have been reported worldwide, with the largest burden of cases in India and Southeast Asia [6, 7]. Based on in vitro testing, therapeutic options for patients with NDM producing strains are often limited to agents such as polymyxins with significant toxicity, though high dose carbapenem regimens and combination therapies have been tried [8].

Prior studies of patients with CRE have identified ICU admission, prior antibiotic use and the presence of urinary and central vascular catheters as risk factors for CRE acquisition though patients with NDM-1 comprised only a small fraction of these subjects [912]. A significant proportion of patients with NDM-1 producing Enterobacteriaceae, however, do not have identified risk factors and appear to be community-acquired [13, 14]. Potential reservoirs in the environment include public water sources, companion and food-producing animals and migratory birds [7, 15].

Given the limited therapeutic options, a better understanding is needed of the risk factors for both acquisitions of infection with NDM-1 producing strains to guide both prevention efforts and the targeting of novel therapies. In this study, we sought to investigate the characteristics, risk factors and outcomes of patients with bloodstream infections (BSI) with NDM-1 producing Klebsiella pneumoniae.


Study design and setting

This study was a retrospective case-control study of BSI with Klebsiella pneumoniae conducted at the Christian Medical College Hospital (CMCH), a 2858 bed tertiary care hospital serving over 2.5 million patients annually, in Vellore, South India. CMCH serves as a referral centre for patients throughout India as well as internationally. Klebsiella pneumoniae organisms were confirmed by routine microbiology, antimicrobial susceptibility testing and targeted sequencing. Cases were patients admitted to CMCH between May 2010 and August 2014 with a carbapenem-resistant NDM-1 producing organism, identified from a database in the Department of Clinical Microbiology. There were two contemporaneously admitted control groups. The first included randomly selected patients amongst those with pan-susceptible strains, while the second was selected from those with BSI secondary to other Non NDM-1, MDR strains including ESBL-producing bacteria and those with other resistance mechanisms.


Blood samples were drawn aseptically and inoculated into BacT/ALERT 3D bottles. On signalling positive, isolates staining gram-negative were sub-cultured on 5% sheep blood and MacConckey agars with subsequent, confirmatory biochemical identification. Antimicrobial susceptibility testing was done using standard Kirby Bauer disk diffusion methods and interpreted using the appropriate 2013 or 2014 CLSI guidelines. The antimicrobial agents tested were: cefotaxime, ceftriaxone, cefpodoxime, ceftazidime, piperacillin/tazobactam, ticarcillin/clavulanate, meropenem, imipenem, trimethoprim/sulfamethoxazole, ciprofloxacin, chloramphenicol, amikacin, gentamicin, colistimethate. Carbapenem-resistant organisms were grown on blood agar overnight and whole genomic DNA was extracted using QIAamp DNA mini kits. Multiplex PCR was used to detect the carbapenemase genes (bla SPM, bla VIM, bla IMP, bla NDM, bla KPC, bla OXA−48 like) using published primers and protocols and the amplicons were visualized in 2% agarose gel containing ethidium bromide [1621]. Controls for genes were provided courtesy of IHMA, Inc., USA.

Data collection

Demographic and clinical data were extracted from the electronic medical record, hospital computerized databases and clinical or microbiological charts. Data were extracted by two separate independent reviewers, cross-validated and in instances of discrepancy were reviewed with both graders to reach consensus. Abstracted data included: demographic and geographic information, clinical and laboratory findings, comorbid diagnoses (prematurity, congenital malformations, cerebral palsy, congenital heart disease, congenital neurologic disease, neuromuscular disease, chronic lung disease, hypertension, heart disease, chronic obstructive pulmonary disease, asthma, smoking, liver disease, diabetes mellitus, chronic kidney disease, HIV/AIDS, cancer, rheumatologic disease, alcoholism), microbiologic data, admitting diagnosis, admission to NICU/PICU/ICU, ward of admission, length of hospitalisation, time to first positive culture, antibiotic use within the last 180 days, hospitalisations in the preceding 2 years, surgery in 90 days prior to admission, treatments and procedures performed during hospitalisation before positive culture date including placement of continuous foreign bodies (central venous catheter (CVC), arterial catheter, urinary catheter, endotracheal tube for mechanical ventilation, nasogastric, nasojejunal or infant feeding tube), hemodialysis, type and duration of antibiotics received, clinical outcome, patient disposition (discharged alive, died, discharged against advice, transferred to another facility), readmission and readmission diagnoses.

Categories and definitions

Ages were grouped as <1 year, 1–11 years, 12–17 years, 18–64 years and >65 years of age. Prior antibiotic use was categorised as any use, β-lactam use, carbapenem use and cephalosporin use. Admission and readmission diagnoses were categorised as related to infection vs. not. Infections were categorised as healthcare-associated if the first positive blood culture sample was collected greater than 48 h after admission. Community-acquired infections were defined as BSI with the first positive blood culture sample collected less than 48 h after admission. Admission wards were categorised as ICU, Neonatal ICU, Hematology, Pediatrics and Other for the purposes of analysis. Presence of a continuous foreign body was defined as the use of any indwelling medical device other than endotracheal tubes for mechanical ventilation that was evaluated separately. Ventilator-associated infection was defined as isolation of the same pathogen from both respiratory and blood cultures in a mechanically ventilated patient. The period of antibiotics with confirmed efficacy was defined by the earliest and latest date of administration of antibiotics to which the identified isolate was assessed to be susceptible. This duration of effective antibiotic use has been divided into 3 groups: <5 days, 5–14 days and >14 days respectively.

Outcome measures

Two primary outcomes were assessed: (1) infection with a MDR organism (NDM-1, ESBL, or other resistance pattern) compared with infection with a pan-susceptible strain (2) infection with NDM-1 strain compared with other MDR strains. Mortality during hospitalisation and duration of admission after the time of culture were evaluated as secondary outcomes.

Statistical methods

Data were analysed using SAS version 9.4. Categorical variables are presented using frequencies and percentages while continuous variables are presented with medians and interquartile ranges. χ 2 and Fisher's Exact test were used to compare frequencies of categorical variables. Analysis of variance using SAS Proc GLM was performed for comparison of continuous variables given the unbalanced data. Multivariate logistic regression models were developed for the three outcomes. Given the skewed distribution of this data, non-parametric analysis of variance was used to evaluate differences in length of stay. Comparison of individuals infected with any MDR strains to those infected with pan-susceptible strains was made to assess for risk factors for MDR strains broadly. The comparison of individuals infected with NDM-1 positive strains to other MDR strains was made to assess for unique risk factors related to infections with NDM-1 positive organisms. Factors with a P ⩽ 0.2 in univariate assessments were tested in multivariate analyses. Model building was performed with the backward selection. Variables with the highest P-value were selected for removal. The difference in −2 log likelihood was used to test the impact of removal from the model and variables were retained if removal caused a statistically significant reduction in −2 log likelihood.


The Institutional Review Boards at CMCH, Vellore and the Colorado Multiple Institutional Review Board (COMIRB) approved the study.


Patient descriptives by age group

A total of 101 patients with BSI with NDM-1 producing Klebsiella pneumoniae were matched to 112 controls with MDR organisms 101 patients with pan-susceptible organisms. Of the MDR organisms, 101 had an identified ESBL resistance pattern and 11 were carbapenem-resistant but were NDM-1 negative. Demographic information, prior antibiotics use and comorbidities are displayed in Table 1. Twenty-eight per cent had been previously hospitalised and 21% had received antibiotics in the prior 180 days. Greater than 50% of infections were community acquired. An admission diagnosis of infection was documented in 53%. Fifty-three per cent were admitted to an ICU. Fifteen per cent had surgery in the preceding 90 days and 42% underwent surgery during the hospitalisation. Thirty-nine per cent received mechanical ventilation. Of these, 7% experienced a ventilator-associated infection. 91% had a central vascular catheter (CVC) placed and 9% of these experienced a catheter-associated infection. Forty per cent had an indwelling urinary catheter and 53% had another continuous foreign body in place.

Table 1. Demographics of individuals with identified K. pneumoniae bloodstream infections*

*Bolded items indicate statistically significant differences between the age groups at P < 0.05

Antimicrobial resistance patterns

The susceptibilities of isolates by the resistance group are presented in Table 2. In the NDM-1 group, colistimethate was assessed to be susceptible in 97% of isolates. Only 7% were susceptible to amikacin. In the other MDR group, 63% were found to be susceptible to ceftriaxone, 86% to meropenem, 89% to imipenem, 66% to amikacin and 100% to colistimethate.

Table 2. Frequency of antibiotic susceptibility by resistance pattern

Study group characteristics

The distribution of demographic and clinical factors by resistance mechanism is presented in Table 3 with variables significant in univariate comparisons for each model (any resistance vs. pan-susceptible, NDM-1 vs. other MDR) indicated. Fifty per cent of infections with pan-susceptible strains were identified to be community-acquired as compared with 21% for those infected with NDM-1 strains and 24% for those infected with other MDR strains. Thirty-seven per cent of those with NDM-1 strains had been previously hospitalised as compared with 24% for other MDR strains and 27% for the pan-susceptible strain. Sixty-three per cent of the NDM-1 and 72% of the other MDR groups were admitted to an ICU as compared with 48% of the pan-susceptible group. Among those with an ICU stay, the median length of stay was 8 days for the NDM-1 group, 8.5 days for the other MDR group and 4 for the pan-susceptible group. Forty-seven per cent in the NDM-1 group and 45% in the other MDR group received mechanical ventilation as compared with 26% in the pan-susceptible group. Ventilator-associated infections were less common in the NDM-1 group (2%) and other MDR group (6%) as compared with the pan-susceptible group (15%). Central venous catheters had been placed in 98% of the NDM-1 group, 91% of the other MDR group and 84% of the pan-susceptible group. Among patients with a CVC, catheter cultures were more commonly positive in the NDM-1 group (10%) and other MDR group (13%) than in the pan-susceptible group (3%). Urinary catheters and other continuously present foreign bodies were more commonly present in the NDM-1 and other MDR groups compared with the pan-susceptible group.

Table 3. Distribution of demographic and clinical factors by pattern of identified resistance

*Evaluated in model selection for multivariate model for any resistance vs. pan-susceptible based on P < 0.2.

**Evaluated in model selection for multivariate model for NDM-1 vs. other MDRO based on P < 0.2.

***Significant with P < 0.05.

Antibiotic usage by study group

The initial antibiotic prescribed at the time of the culture varied, with colistimethate and meropenem being most common in the NDM-1 group (11% for each); meropenem (29%) and piperacillin-tazobactam (27%) in the other MDRO group; and meropenem (17%) and piperacillin-tazobactam (16%) in the pan-susceptible group. Eighty-four per cent of the NDM-1 group, 55% of the other MDRO group and 48% of the pan-susceptible group received less than 5 days of antibiotics with confirmed susceptibility. Nine per cent in the NDM-1 group, 32% in the other MDR group and 45% in the pan-susceptible group received 5–14 days of antibiotics.

Length of stay and readmission

The median length of stay was statistically significantly longer (P < 0.01) in the NDM-1 group (21 days) and other MDR group (19 days) as compared to the pan-susceptible group (14 days). Length of stay after the positive culture was not significantly different between the resistance groups. Of those discharged alive, 18% in the NDM-1 group, 4% in the other MDR group and 3% in the pan-susceptible group were readmitted with a diagnosis of fever or sepsis.


Mortality percentages by demographic and clinical factors are summarised in Table 4. Among those who died, 42% were infected with a NDM-1 strain, 39% another MDRO organism and 19% a pan-susceptible strain. Fifty-five per cent were men and 23% had a community-acquired infection, 80% were admitted to an ICU, 68% had received mechanical ventilation and 90% had a central venous catheter placed.

Table 4. Distribution of demographic and clinical factors by mortality status*

*Bolded elements were evaluated in model selection for multivariate model for mortality based on P < 0.2 in univariate assessment

Independent predictors of outcomes

The results of the multivariate models are presented in Table 5. In the multivariate model of any resistance vs. pan-susceptible, the strongest predictors of infection with a resistant strain were: placement of a CVC (OR 7.4), ICU admission (OR 10.4), NICU admission (OR 7.7) and placement of a urinary catheter (OR 2.4). Though individually not significant predictors, the variables abdominal or pelvic surgery and receipt of antibiotics in the last 180 days were retained in the model due to the improved performance of the model with their retention based on the log-likelihood score. In the multivariate model of NDM-1 vs. other MDR, the strongest predictors were: prior carbapenem use (OR 8.4) and placement of a CVC (OR 4.8).

Table 5. Multivariate analysis of predictors of multidrug resistance, NDM-1 positivity and mortality*

*Bolded parameters were significant with p < 0.05.

Significant predictors for mortality included ICU stay (OR 3.0), mechanical ventilation (OR 3.2), female gender (OR 2.1). Diabetics had lower odds of mortality (OR 0.4).


This study provides an evaluation of risk factors for the development of NDM-1 positive and MDR K. pneumoniae bloodstream infections in a highly endemic setting in Vellore, India. Though infections with MDR organisms are typically associated with hospital-acquired infections, it is notable that greater than 21% of NDM-1 and 24% of other MDR infections were found to be community-acquired.

The high proportion of cases with catheter-associated infections in this population is notable and this offers a potential target for reducing the risk of bloodstream infections. The risk of BSI associated with CVC catheters has been well documented and evidence-based prevention strategies exist. Though gram-positive bacteria are more commonly associated with the central line-associated BSI (CLABSI), in a prior series from India gram-negative organisms were present in as much as 36% of cases and Klebsiella sp were specifically identified in 8% [22]. In the same series, gram-negative organisms were more frequent in cases associated with local infection, as was placement at a femoral site. In a smaller case-control study in South Africa, central vascular catheter placement was a significant risk factor for health care-associated infections with NDM-1 positive organisms [12]. Further studies in this context examining the extent to which local contamination of the line either by site or as part of line care contributes to the rate of CLABSI with MDR strains and with NDM-1 producing organisms specifically may be useful [23].

Admission to a medical or neonatal ICU was an important predictor of infection with resistant strains as was the admission ward overall with a trend towards higher risk of resistant strains also seen in admissions to hematology, surgery and pediatrics. The identification of high-risk units is important to guide potential interventions to prevent infection. In a fecal surveillance study of ICU patients in New Delhi, carriage of carbapenem-resistant Enterobacteriaceae was found in 18.1% with 9.4% of them carrying NDM-1 positive strains. In studies of ICU patients in India and Tunisia, acquisition of antibiotic-resistant strains was demonstrated during admission with duration of admission and antibiotic use being predictors [24, 25]. The significant proportion of community-acquired infections may suggest that fecal carriage of MDR strains may be present prior to admission.

The mortality we observed was lower than in both a prior series of patients with CRE BSI and a smaller case-control study of healthcare-associated infections with NDM-1 positive organisms [10, 12]. Mortality was similar between patients with NDM-1 positive infections and patients with infections with other MDRO. It is possible that this reflects the underlying illness associated with the acquisition of either category of infection. It is notable, that a significant number of individuals with BSI with NDM-1 positive and other MDRO survived despite receiving less than 5 days of confirmed effective antibiotics. In some of these cases patients were treated with antibiotics such as cefoperazone for which susceptibility testing was not available. Because this was a retrospective review, it was not possible to determine the rationale for not extending therapy beyond 5 days of antibiotics with confirmed efficacy in cases where shorter durations were noted. In cases with good clinical outcomes, it may be that the decision was made based on the patient's clinical response to treatment.

Discordance between in vitro susceptibilities and clinical outcomes have been previously described for patients infected with NDM-1 positive organisms [26]. Animal model data have suggested that the efficiency of carbapenem hydrolysis by NDM-1 may not be sufficient to completely overcome the inhibitory effect of carbapenems and continuous-infusion and high dose regimens may retain activity [27]. In vivo resistance may additionally reflect the combination of both the presence of carbapenemases and other resistance mutations leading to the variability in clinical outcomes seen across studies. Mortality, however, remains significant among patients admitted with infections with MDR strains and strategies to prevent these infections are needed.


Given that this was a retrospective, case-control, study, it is not possible to determine the absolute risk associated with the identified risk factors. Data available were limited to that recorded in the medical record and associated databases. This may be particularly relevant with regard to the assessment of the risk associated with care received prior to hospitalisation, documentation of which may have been incomplete.


This study highlights that infection with NDM-1 and other MDR strains is associated with significantly increased mortality. We identified important risk groups for infection with NDM and other MDR K. pneumoniae bloodstream infections that can be used to guide future research on strategies for reducing infection risk.

Author ORCIDs

B. T. Montague,; V. Balaji, 0000-0002-8662-4257


This work was partially supported by a student research grant from the Center for Global Health within the Colorado School of Public Health.


1.Patel, G et al. (2015) Outcomes of carbapenem-resistant Klebsiella pneumoniae infection and the impact of antimicrobial and adjunctive therapies. Infection Control & Hospital Epidemiology 29, 10991106.
2.Tamma, PD et al. (2017) Comparing the outcomes of patients with carbapenemase-producing and non-carbapenemase-producing carbapenem-resistant enterobacteriaceae bacteremia. Clinical Infectious Diseases 64, 257264.
3.Veeraraghavan, B et al. (2017) Carbapenem resistant Klebsiella pneumoniae isolated from bloodstream infection: Indian experience. Pathogens and Global Health 111, 240246.
4.Yong, D et al. (2009) Characterization of a New Metallo-β-Lactamase Gene, bla(NDM-1), and a novel erythromycin esterase gene carried on a unique genetic structure in Klebsiella pneumoniae sequence type 14 from India. Antimicrobial Agents and Chemotherapy 53, 50465054.
5.Poirel, L et al. (2011) Genetic features of blaNDM-1-positive Enterobacteriaceae. Antimicrobial Agents and Chemotherapy 55, 54035407.
6.Khan, AU, Maryam, L and Zarrilli, R (2017) Structure, Genetics and Worldwide Spread of New Delhi Metallo-beta-lactamase (NDM): a threat to public health. BMC Microbiology 17, 101.
7.van Duin, D and Doi, Y (2017) The global epidemiology of carbapenemase-producing Enterobacteriaceae. Virulence 8, 460469.
8.Carrara, E, Bragantini, D and Tacconelli, E (2018) Combination versus monotherapy for the treatment of infections due to carbapenem-resistant enterobacteriaceae. Current Opinion in Infectious Diseases 31, 594599.
9.Kumar, M et al. (2015) Risk factor analysis in clinical isolates of ESBL and MBL (Including NDM-1) producing Escherichia coli and Klebsiella species in a tertiary care hospital. Journal of Clinical and Diagnostic Research: JCDR 9, Dc08Dc13.
10.Nabarro, LEB et al. (2017) Clinical and bacterial risk factors for mortality in children with carbapenem-resistant Enterobacteriaceae bloodstream infections in India. Pediatric Infectious Disease Journal 36, e161e166.
11.Wang, Q et al. (2016) Risk factors and clinical outcomes for carbapenem-resistant Enterobacteriaceae nosocomial infections. European Journal of Clinical Microbiology & Infectious Diseases 35, 16791689. Jager, P et al. (2015) Nosocomial outbreak of New Delhi metallo-beta-lactamase-1-producing gram-negative Bacteria in South Africa: a case-control study. PLoS One 10, e0123337.
13.Kim, SY et al. (2014) Characteristics of community-onset NDM-1-producing Klebsiella pneumoniae isolates. Journal of Medical Microbiology 63, 8689.
14.Nordmann, P et al. (2012) Emergence of an autochthonous and community-acquired NDM-1-producing Klebsiella pneumoniae in Europe. Clinical Infectious Diseases 54, 150151.
15.Guerra, B, Fischer, J and Helmuth, R (2014) An emerging public health problem: acquired carbapenemase-producing microorganisms are present in food-producing animals, their environment, companion animals and wild birds. Veterinary Microbiology 171, 290297.
16.Yigit, H et al. (2001) Novel carbapenem-hydrolyzing beta-lactamase, KPC-1, from a carbapenem-resistant strain of Klebsiella pneumoniae. Antimicrobial Agents and Chemotherapy 45, 11511161.
17.Poirel, L et al. (2011) Multiplex PCR for the detection of acquired carbapenemase genes. Diagnostic Microbiology and Infectious Disease 70, 119123.
18.Dallenne, C et al. (2010) Development of a set of multiplex PCR assays for the detection of genes encoding important beta-lactamases in Enterobacteriaceae. Journal of Antimicrobial Chemotherapy 65, 490495.
19.Ellington, MJ et al. (2007) Multiplex PCR for rapid detection of genes encoding acquired metallo-beta-lactamases. Journal of Antimicrobial Chemotherapy 59, 321322.
20.Poirel, L et al. (2011) OXA-163, an OXA-48-related class D beta-lactamase with extended activity toward expanded-spectrum cephalosporins. Antimicrobial Agents and Chemotherapy 55, 25462551.
21.Nordmann, P, Boulanger, AE and Poirel, L (2012) NDM-4 metallo-beta-lactamase with increased carbapenemase activity from Escherichia coli. Antimicrobial Agents and Chemotherapy 56, 21842186.
22.Parameswaran, R et al. (2011) Intravascular catheter-related infections in an Indian tertiary care hospital. Journal of Infection in Developing Countries 5, 452458.
23.Khan, ID et al. (2017) Device-Associated Healthcare-Associated Infections (DA-HAI) and the caveat of multiresistance in a multidisciplinary intensive care unit. Medical Journal Armed Forces of India 73, 222231.
24.Maamar, E et al. (2016) High prevalence of gut microbiota colonization with broad-spectrum cephalosporin resistant Enterobacteriaceae in a Tunisian Intensive Care Unit. Frontiers in Microbiology 7, 1859.
25.Mittal, G et al. (2016) Risk factors for fecal carriage of carbapenemase producing Enterobacteriaceae among intensive care unit patients from a tertiary care center in India. BMC Microbiology 16, 138.
26.Zmarlicka, MT, Nailor, MD and Nicolau, DP (2015) Impact of the New Delhi metallo-beta-lactamase on beta-lactam antibiotics. Infection and Drug Resistance 8, 297309.
27.Wiskirchen, DE et al. (2014) In vivo efficacy of human simulated regimens of carbapenems and comparator agents against NDM-1-producing Enterobacteriaceae. Antimicrobial Agents and Chemotherapy 58, 16711677.