scholarly journals Risk Factor and Outcome Evaluation in Patients With Carbapenem-Resistant Enterobacteriaceae in a Mid-Western Tertiary Care Academic Medical Center

2016 ◽  
Vol 3 (suppl_1) ◽  
Author(s):  
Madhuri Sopirala ◽  
Francis Ssali ◽  
Siyun Liao ◽  
Loretta Simbartl ◽  
Stephen Kralovic
Keyword(s):  
Risk Factor ◽  
Medical Center ◽  
Academic Medical Center ◽  
Tertiary Care ◽  
Outcome Evaluation ◽  
Carbapenem Resistant ◽  
Academic Medical ◽  
Carbapenem Resistant Enterobacteriaceae

scholarly journals Difference in Susceptibility Between Carbapenemase- and Non–Carbapenemase-Producing Carbapenem-Resistant Enterobacteriaceae

2021 ◽  
Vol 1 (S1) ◽  
pp. s70-s70
Author(s):  
Justin Clark ◽  
David Burgess
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Automated System ◽  
Fisher Exact Test ◽  
Exact Test ◽  
Carbapenem Resistant ◽  
Academic Medical ◽  
Break Points ◽  
Susceptibility Profiles ◽  
Carbapenem Resistant Enterobacteriaceae

Background: Carbapenem-resistant Enterobacteriaceae (CRE) remain among the most urgent infectious threats according to the CDC Threats Reports. Although focus has often been placed on carbapenemase-producing phenotypes, there is increasing interest in distinguishing the optimal treatment and outcomes of carbapenemase-producing (CP) and non–carbapenemase-producing (NCP) CRE. We compare antimicrobial susceptibility patterns between CP-CRE and NCP-CRE isolated from patients at our academic medical center. Methods: All CRE isolates of Enterobacter cloacae, Escherichia coli, Klebsiella aerogenes, K. oxytoca, and K. pneumoniae in adult inpatients from 2010 to 2019 were included in this study. Susceptibility testing was performed using the BD Phoenix Automated System (BD Diagnostics, Sparks, MD). CLSI susceptibility break points were utilized in the susceptibility analyses of all antimicrobials tested. To determine carbapenemase production, isolates resistant only to ertapenem were considered NCP-CRE, and those resistant to both ertapenem and meropenem were considered CP-CRE. Statistical comparisons of susceptibility profiles were performed using either the χ2 test or the Fisher exact test. All data preprocessing and statistical analyses were performed using Python software. Results: Over the decade, we identified 291 CRE isolates (216 isolates resistant only to ertapenem and 75 resistant to ertapenem and meropenem). The ertapenem-resistant–only phenotype comprises ~66% of the total CRE population and is largely composed of E. cloacae (67%). As expected, most β-lactam susceptibilities were negligibly low between the 2 groups; however, other clinically relevant antimicrobials (aminoglycosides, fluoroquinolones, and sulfamethoxazole/trimethoprim) exhibited starkly different susceptibility profiles (P value Conclusions: These findings suggest that the most predominant CRE phenotype at our institution is not carbapenemase production. Evaluation of outcomes between CP- and NCP-CRE should be pursued further. The large differences in the MIC distributions may lead to differing outcomes for the affected patients.Funding: NoDisclosures: None

Imipenem/relebactam activity compared to other antimicrobials against non-MBL-producing carbapenem-resistant Enterobacteriaceae from an academic medical center

2019 ◽  
Vol 77 (4) ◽  
Author(s):  
Brandon Kulengowski ◽  
David S Burgess
Keyword(s):  
Antimicrobial Agents ◽  
Medical Center ◽  
Phenylboronic Acid ◽  
Academic Medical Center ◽  
Clinical Isolates ◽  
Beta Lactamase ◽  
In Vitro Susceptibility ◽  
Carbapenem Resistant ◽  
Academic Medical ◽  
Carbapenem Resistant Enterobacteriaceae

ABSTRACTBackgroundCarbapenem-resistant Enterobacteriaceae (CRE) cause significant mortality and are resistant to most antimicrobial agents. Imipenem/relebactam, a novel beta-lactam/beta-lactamase inhibitor combination, and 16 other antimicrobials were evaluated against non-metallo-beta-lactamase-producing carbapenem-resistant Enterobacteriaceae clinical isolates from a United States tertiary academic medical center.ObjectivesTo evaluate imipenem/relebactam and other commonly utilised antimicrobial agents against carbapenem-resistant Enterobacteriaceae. Methods: Clinical isolates (n  = 96) resistant to ertapenem or meropenem by BD Phoenix (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) and negative for metallo-beta-lactamase-production by an EDTA (Sigma-Aldrich Corp., St. Louis, MO, USA)/phenylboronic acid (Sigma-Aldrich Corp., St. Louis, MO, USA) disk diffusion assay were identified and collected from January 2012 to January 2017. In vitro susceptibility by broth microdilution was performed according to CLSI guidelines using CLSI susceptibility breakpoints for 17 antimicrobials (Sigma-Aldrich Corp., St. Louis, MO, USA).ResultsCRE primarily produced Klebsiella pneumoniae carbapenemase (KPC) and consisted primarily of K. pneumoniae (55%) and Enterobacter spp. (25%), followed by Citrobacter spp. (10%), Escherichia coli (5%), and others (5%). CRE were most susceptible to imipenem/relebactam (100%), followed by amikacin (85%), tigecycline (82%), and polymyxin B/colistin (65%). The median reduction of imipenem minimum inhibitory concentrations (MICs) of non-MBL-producing CRE was 16-fold but ranged from 0.5 to >512-fold. The MIC50, MIC90 and MIC range of imipenem/relebactam was 0.5/4, 1/4 and 0.06/4–1/4 mg/L, respectively.ConclusionsImipenem/relebactam exhibits excellent activity against CRE that produce KPC.

scholarly journals Clinical Team Distribution and Antibiotic Use Patterns at a Tertiary-Care Academic Medical Center

2020 ◽  
Vol 41 (S1) ◽  
pp. s168-s169
Author(s):  
Rebecca Choudhury ◽  
Ronald Beaulieu ◽  
Thomas Talbot ◽  
George Nelson
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Tertiary Care ◽  
Antibiotic Use ◽  
Care Hospital ◽  
Hospital Units ◽  
Antibiotic Utilization ◽  
Academic Medical ◽  
Level Data ◽  
Utilization Data

Background: As more US hospitals report antibiotic utilization to the CDC, standardized antimicrobial administration ratios (SAARs) derived from patient care unit-based antibiotic utilization data will increasingly be used to guide local antibiotic stewardship interventions. Location-based antibiotic utilization surveillance data are often utilized given the relative ease of ascertainment. However, aggregating antibiotic use data on a unit basis may have variable effects depending on the number of clinical teams providing care. In this study, we examined antibiotic utilization from units at a tertiary-care hospital to illustrate the potential challenges of using unit-based antibiotic utilization to change individual prescribing. Methods: We used inpatient pharmacy antibiotic use administration records at an adult tertiary-care academic medical center over a 6-month period from January 2019 through June 2019 to describe the geographic footprints and AU of medical, surgical, and critical care teams. All teams accounting for at least 1 patient day present on each unit during the study period were included in the analysis, as were all teams prescribing at least 1 antibiotic day of therapy (DOT). Results: The study population consisted of 24 units: 6 ICUs (25%) and 18 non-ICUs (75%). Over the study period, the average numbers of teams caring for patients in ICU and non-ICU wards were 10.2 (range, 3.2–16.9) and 13.7 (range, 10.4–18.9), respectively. Units were divided into 3 categories by the number of teams, accounting for ≥70% of total patient days present (Fig. 1): “homogenous” (≤3), “pauciteam” (4–7 teams), and “heterogeneous” (>7 teams). In total, 12 (50%) units were “pauciteam”; 7 (29%) were “homogeneous”; and 5 (21%) were “heterogeneous.” Units could also be classified as “homogenous,” “pauciteam,” or “heterogeneous” based on team-level antibiotic utilization or DOT for specific antibiotics. Different patterns emerged based on antibiotic restriction status. Classifying units based on vancomycin DOT (unrestricted) exhibited fewer “heterogeneous” units, whereas using meropenem DOT (restricted) revealed no “heterogeneous” units. Furthermore, the average number of units where individual clinical teams prescribed an antibiotic varied widely (range, 1.4–12.3 units per team). Conclusions: Unit-based antibiotic utilization data may encounter limitations in affecting prescriber behavior, particularly on units where a large number of clinical teams contribute to antibiotic utilization. Additionally, some services prescribing antibiotics across many hospital units may be minimally influenced by unit-level data. Team-based antibiotic utilization may allow for a more targeted metric to drive individual team prescribing.Funding: NoneDisclosures: None

scholarly journals Financial Impact of Tertiary Care in an Academic Medical Center

2000 ◽  
Vol 231 (6) ◽  
pp. 860-868 ◽  
Author(s):  
Thomas S. Huber ◽  
Lori M. Carlton ◽  
Donna G. O’Hern ◽  
Nancy S. Hardt ◽  
C. Keith Ozaki ◽  
...  
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Tertiary Care ◽  
Financial Impact ◽  
Academic Medical

scholarly journals 421. Effect of SARs-Cov-2 mRNA Vaccination in Healthcare Workers with Household COVID Exposure

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S311-S311
Author(s):  
Laura Selby ◽  
Richard Starlin
Keyword(s):  
Healthcare Workers ◽  
Screening Program ◽  
Medical Center ◽  
Severe Disease ◽  
Academic Medical Center ◽  
Tertiary Care ◽  
Limited Data ◽  
Viral Shedding ◽  
Academic Medical ◽  
Significant Burden

Abstract Background Healthcare workers have experienced a significant burden of COVID-19 disease. COVID mRNA vaccines have shown great efficacy in prevention of severe disease and hospitalization due to COVID infection, but limited data is available about acquisition of infection and asymptomatic viral shedding. Methods Fully vaccinated healthcare workers at a tertiary-care academic medical center in Omaha Nebraska who reported a household exposure to COVID-19 infection are eligible for a screening program in which they are serially screened with PCR but allowed to work if negative on initial test and asymptomatic. Serial screening by NP swab was completed every 5-7 days, and workers became excluded from work if testing was positive or became symptomatic. Results Of the 94 employees who were fully vaccinated at the time of the household exposure to COVID-19 infection, 78 completed serial testing and were negative. Sixteen were positive on initial or subsequent screening. Vaccine failure rate of 17.0% (16/94). Healthcare workers exposed to household COVID positive contact Conclusion High risk household exposures to COVID-19 infection remains a significant potential source of infections in healthcare workers even after workers are fully vaccinated with COVID mRNA vaccines especially those with contact to positive domestic partners. Disclosures All Authors: No reported disclosures

Epidemiology and risk factors for carbapenem-resistant Enterobacteriaceae colonisation and infections: case-controlled study from an academic medical center in a southern area of China

2019 ◽  
Vol 77 (4) ◽  
Author(s):  
Lili Fang ◽  
Xiaohui Lu ◽  
Heping Xu ◽  
Xiaobo Ma ◽  
Yilan Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Medical Center ◽  
Academic Medical Center ◽  
Pulmonary Diseases ◽  
Controlled Study ◽  
Global Public Health ◽  
Detection Rates ◽  
Carbapenem Resistant ◽  
Associated Risk Factors ◽  
Carbapenem Resistant Enterobacteriaceae

ABSTRACT OBJECTIVE While the emergence and spread of carbapenem-resistant Enterobacteriaceae (CRE) and related infections pose serious threats to global public health, the epidemiology and associated risk factors remain poorly understood and vary by geography. METHODS In a case-controlled retrospective study, we examined the prevalence, patient background and risk factors for CRE colonisation and infections, and all patient-derived CRE from January 2015 to January 2017. Isolated carbapenem-susceptible Enterobacteriaceae (CSE) from 2875 enrolled patients were randomly selected during the study. RESULTS CRE colonisation and infections detection rates were 47/2875 (1.6%). Respiratory tract specimens were most frequently seen in 20/47 (42.6%) cases. Klebsiella pneumoniae was the main isolate in 35/47 (74.5%) CRE. As for carbapenemase, KPC-2-producing bacteria was most frequently detected in 38/47 (80.9%) Enterobacteriaceae. No underlying conditions (P = 0.004), pulmonary diseases (P = 0.018) and no antibiotics used prior to culture within 30 days (P < 0.001) were statistically significant between the CRE and CSE groups. CONCLUSION Klebsiellapneumoniae was the main isolate of CRE. The blaKPC-2 was the predominant CRE gene. Underlying conditions especially pulmonary diseases and antibiotics used prior to culture within 30 days represented key risk factors for acquisition of CRE.

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