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      Risk factors for acquisition of carbapenem resistant Enterobacteriaceae in an acute tertiary care hospital in Singapore

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          Abstract

          Background

          Carbapenem resistant Enterobacteriaceae (CRE) is increasingly reported worldwide. A similar increase is seen in Singapore since identification of its first case in 2008. The aim of this study was to identify local risk factors for carriage of CRE in patients from an acute tertiary care hospital in Singapore.

          Method

          A matched case-control study was conducted on inpatients treated from January 1, 2011 till December 31, 2013. Two hundred and three cases of CRE infection or colonization were matched with 203 controls. CRE types were identified by PCR. Statistical analysis of data including a multivariate logistic regression analysis was done using SPSS 21.0.

          Results

          CREs were commonly seen in Klebsiella pneumoniae (42.2 %), Escherichia coli (24.3 %) and Enterobacter cloacae complex (17.2 %) in the 268 isolates. NDM-1 was the commonest CRE type seen (44.4 %), followed by KPC (39.9 %) whilst OXA-48 only constituted (7.8 %). Univariate analysis identified key risk factors associated with CRE as history of previous overseas hospitalization (OR: 33.667; 95 % CI: 4.539-259.700), admission to ICU (OR: 11.899; 95 % CI: 4.986-28.399) and HD/ICA (OR: 6.557; 95 % CI: 4.057-10.596); whilst a multivariate analysis revealed exposure to antibiotics penicillin (OR: 4.640; 95 % CI: 1.529-14.079] and glycopeptide (OR: 5.162; 95 % CI: 1.377-19.346) and presence of central line device (OR: 3.117; 95 % CI: 1.167-8.330) as significant independent predictors.

          Conclusions

          The identification of risk factors amongst our local population helped to refine the criteria used for target active surveillance screening for CRE amongst inpatients at time of hospital admission.

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          Most cited references21

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          Statistics review 4: Sample size calculations

          The present review introduces the notion of statistical power and the hazard of under-powered studies. The problem of how to calculate an ideal sample size is also discussed within the context of factors that affect power, and specific methods for the calculation of sample size are presented for two common scenarios, along with extensions to the simplest case.
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            Device-associated nosocomial infections in 55 intensive care units of 8 developing countries.

            Health care-associated infections from invasive medical devices in the intensive care unit (ICU) are a major threat to patient safety. Most published studies of ICU-acquired infections have come from industrialized western countries. In a Centers for Disease Control and Prevention (CDC) National Nosocomial Infections Surveillance (NNIS) System report, the U.S. pooled mean rates of central venous catheter (CVC)-related bloodstream infections, ventilator-associated pneumonia, and catheter-associated urinary tract infections were 4.0 per 1000 CVC days, 5.4 per 1000 mechanical ventilator days, and 3.9 per Foley catheter days, respectively. To ascertain the incidence of device-associated infections in the ICUs of developing countries. Multicenter, prospective cohort surveillance of device-associated infection by using the CDC NNIS System definitions. 55 ICUs of 46 hospitals in Argentina, Brazil, Colombia, India, Mexico, Morocco, Peru, and Turkey that are members of the International Nosocomial Infection Control Consortium (INICC). Rates of device-associated infection per 100 patients and per 1000 device days. During 2002-2005, 21,069 patients who were hospitalized in ICUs for an aggregate 137,740 days acquired 3095 device-associated infections for an overall rate of 14.7% or 22.5 infections per 1000 ICU days. Ventilator-associated pneumonia posed the greatest risk (41% of all device-associated infections or 24.1 cases [range, 10.0 to 52.7 cases] per 1000 ventilator days), followed by CVC-related bloodstream infections (30% of all device-associated infections or 12.5 cases [range, 7.8 to 18.5 cases] per 1000 catheter days) and catheter-associated urinary tract infections (29% of all device-associated infections or 8.9 cases [range, 1.7 to 12.8 cases] per 1000 catheter days). Notably, 84% of Staphylococcus aureus infections were caused by methicillin-resistant strains, 51% of Enterobacteriaceae isolates were resistant to ceftriaxone, and 59% of Pseudomonas aeruginosa isolates were resistant to fluoroquinolones. The crude mortality rate for patients with device-associated infections ranged from 35.2% (for CVC-associated bloodstream infection) to 44.9% (for ventilator-associated pneumonia). These initial data are not adequate to represent any entire country, and likely variations in the efficiency of surveillance and institutional resources may have affected the rates that were detected. Device-associated infections in the ICUs of these developing countries pose greater threats to patient safety than in U.S. ICUs. Active infection control programs that perform surveillance of infection and implement guidelines for prevention can improve patient safety and must become a priority in every country.
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              Plasmid-mediated KPC-2 in a Klebsiella pneumoniae isolate from China.

              A carbapenem-resistant isolate of Klebsiella pneumoniae producing class A carbapenemase KPC-2 was identified in Zhejiang, China. The KPC-2 gene was located on an approximately 60-kb plasmid in a genetic environment partially different from that of blaKPC-2 in the isolates from the United States and Colombia.
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                Author and article information

                Contributors
                ling.moi.lin@sgh.com.sg
                tee.yong.ming@sgh.com.sg
                tan.soong.geck@sgh.com.sg
                ismawati.mohd.amin@sgh.com.sg
                molly.how.k.b@sgh.com.sg
                tan.kwee.yuen@sgh.com.sg
                lee.lai.chee@sgh.com.sg
                Journal
                Antimicrob Resist Infect Control
                Antimicrob Resist Infect Control
                Antimicrobial Resistance and Infection Control
                BioMed Central (London )
                2047-2994
                23 June 2015
                23 June 2015
                2015
                : 4
                : 26
                Affiliations
                Infection Control, Singapore General Hospital, Outram Road, Singapore, 169608 Singapore
                Article
                66
                10.1186/s13756-015-0066-3
                4477303
                26106476
                5a0fcfe7-78b1-4495-b2cd-41335688686f
                © Ling et al. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 24 March 2015
                : 28 May 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                Infectious disease & Microbiology
                enterobacteriaceae,carbapenem resistant,risk factors,epidemiology

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