Analysis of transmission-related third-generation cephalosporin-resistant Enterobacterales by electronic data mining and core genome multi-locus sequence typing.

BACKGROUND: To contain intra-hospital transmission of third-generation cephalosporin-resistant Enterobacterales (3GCR-E), contact isolation precautions are recommended. AIM: To quantify transmissions of 3GCR Escherichia coli and 3GCR Klebsiella pneumoniae within a hospital. METHODS: An automated outbreak detection system (AODS) was used to identify clusters (N≥2) of 3GCR Enterobacterales for the years 2016, 2018 and 2020. Clusters were defined by phenotypic agreement of microbiological results and spatial and temporal relationship. Core genome multi-locus sequence typing (cgMLST) was used to confirm whether the cluster isolates were transmitted between patients. FINDINGS: A total of 4343 3GCR E. coli and 1377 K. pneumoniae isolates were analysed. Among the 3GCR E. coli isolates, the AODS identified 304 isolates as cluster isolates, the median cluster size was two (range: 2-5). The cgMLST analysis revealed that a total of 23 (7.5%) 3GCR E. coli cluster isolates were transmission-associated, of which 20 isolates (87%) were detected in intensive care patients. Among the 3GCR K. pneumoniae isolates, the AODS identified 73 isolates as cluster isolates, the median cluster size was two (range: 2-4). CgMLST revealed that 35 (48%) 3GCR K. pneumoniae cluster isolates were transmission associated, of which 27 isolates (77%) were detected in intensive care patients. CONCLUSION: For 3GCR K. pneumoniae, cgMLST confirmed the AODS results more frequently than for 3GCR E. coli. Therefore, contact isolation precautions for 3GCR K. pneumoniae may be appropriate on intensive care units, but only in certain circumstances, such as outbreaks, for Enterobacterales with lower transmissibility, such as E. coli.

Infections caused by extended-spectrum ß-lactamase-producing Enterobacterales after rectal colonization with ESBL-producing Escherichia coli or Klebsiella pneumoniae.

OBJECTIVES: Infections as a result of extended-spectrum ß-lactamase-producing Enterobacterales (ESBL-E) are considered infections with a high public health burden. In this study, we aimed to identify incidences of and risk factors for healthcare-associated infections (HAIs) after rectal colonization with ESBL-producing Escherichia coli (ESBL-EC) or Klebsiella pneumoniae (ESBL-KP). METHODS: This prospective cohort study was performed in 2014 and 2015. Patients colonized with ESBL-EC or ESBL-KP were monitored for subsequent HAI with ESBL-E and other pathogens. In the case of an ESBL-E infection, rectal and clinical isolates were compared using pulsed-field gel electrophoresis (PFGE), and whole-genome sequencing (WGS) for ESBL-KP isolates. Proportional hazard models were applied to identify risk factors for HAIs, and to analyse competing risks. RESULTS: Among all patients admitted to the hospital during the study period, 13.6% were rectally screened for third-generation cephalosporin-resistant Enterobacterales (3GCREB). A total of 2386 rectal carriers of ESBL-EC and 585 of ESBL-KP were included in the study. Incidence density (ID) for HAI with ESBL-E was 2.74 per 1000 patient days at risk (95% confidence interval (CI) 2.16-3.43) among carriers of ESBL-EC, while it was 4.44 per 1000 patient days at risk (95% CI 3.17-6.04) among carriers of ESBL-KP. In contrast, ID for HAI with other pathogens was 4.36 per 1000 patient days at risk (95% CI 3.62-5.21) among carriers of ESBL-EC, and 5.00 per 1000 patient days at risk (95% CI 3.64-6.69) among carriers of ESBL-KP. Cox proportional hazard regression analyses identified colonization with ESBL-KP (HR = 1.58, 95% CI 1.068-2.325) compared with ESBL-EC as independent risk factor for HAI with ESBL-E. The results were consistent over all competing risk analyses. CONCLUSIONS: Clinicians should be aware of the increased risk of ESBL-E infections among patients colonized with ESBL-KP compared with ESBL-EC that might be caused by underlying diseases, higher pathogenicity of ESBL-KP and other factors.

[Development of antimicrobial resistance in Germany : What is the current situation?] / Entwicklung der Resistenzsituation in Deutschland : Wo stehen wir wirklich?

BACKGROUND: The frequency of multidrug-resistant organisms (MDRO) is increasing in Germany and worldwide. OBJECTIVES: Presentation of MDRO resistance rates and prevalence in Germany MATERIALS AND METHODS: Results from the Antibiotic Resistance Surveillance (ARS) and Hospital Infection Surveillance Systems (Krankenhausinfektions-Surveillance-Systems, KISS) and from recent prevalence surveys are presented. RESULTS: MRSA-resistance rates and the prevalence of methicillin-resistant Staphylococcus aureus (MRSA) have remained at a stable level over the last few years. In contrast, vancomycin-resistant enterococci (VRE) and multidrug-resistant gramnegative (MRGN) bacteria have increased considerably. VRE prevalence has more than tripled in the past 5 years, and Escherichia coli resistant to third-generation cephalosporins, acylureidopenicillins, and fluoroquinolones increased by 43% in 2015 compared with the previous year. CONCLUSIONS: New policies to control MDRO should focus on VRE and the heterogeneous group of MRGN bacteria. In the case of the latter, the different bacterial species' characteristics should be taken into consideration.

Epidemiology of healthcare associated infections in Germany: Nearly 20 years of surveillance.

OBJECTIVE: To describe the epidemiology of healthcare-associated infections (HAI) in hospitals participating in the German national nosocomial infections surveillance system (KISS). METHOD: The epidemiology of HAI was described for the surveillance components for intensive care units (ITS-KISS), non-ICUs (STATIONS-KISS), very low birth weight infants (NEO-KISS) and surgical site infections (OP-KISS) in the period from 2006 to 2013. In addition, risk factor analyses were performed for the most important infections of ICU-KISS, NEO-KISS and OP-KISS. RESULTS: Data from a total of 3,454,778 ICU patients from 913 ICUs, 618,816 non-ICU patients from 142 non-ICU wards, 53,676 VLBW from 241 neonatal intensive care units (NICU) and 1,005,064 surgical patients from operative departments from 550 hospitals were used for analysis. Compared with baseline data, a significant reduction of primary bloodstream infections (PBSI) and lower respiratory tract infections (LRTI) was observed in ICUs with the maximum effect in year 5 (or longer participation) (incidence rate ratio 0.60 (CI95 0.50-0.72) and 0.61 (CI95 0.52-0.71) respectively). A significant reduction of PBSI and LRTI was also observed in NEO-KISS when comparing the baseline situation with the 5th year of participation (hazard ratio 0.70 (CI95 0.64-0.76) and 0.43 (CI95 0.35-0.52)). The effect was smaller in operative departments after the introduction of OP-KISS (OR 0.80; CI95 0.64-1.02 in year 5 or later for all procedure types combined). Due to the large database, it has not only been possible to confirm well-known risk factors for HAI, but also to identify some new interesting risk factors like seasonal and volume effects. CONCLUSIONS: Participating in a national surveillance system and using surveillance data for internal quality management leads to substantial reduction of HAI. In addition, a surveillance system can identify otherwise not recognized risk factors which should - if possible - be considered for infection control management and for risk adjustment in the benchmarking process.

Prevalence of carbapenem-resistant organisms and other Gram-negative MDRO in German ICUs: first results from the national nosocomial infection surveillance system (KISS).

PURPOSE: Standardized prevalence and incidence data on carbapenem-resistant organisms (CRO) and, as a relevant subgroup, carbapenem-resistant Enterobacteriaceae (CRE) are scarce. CRO-surveillance within the German nosocomial infection surveillance system (KISS) aims to provide epidemiological surveillance data on CRO colonizations and infections. METHODS: CRO-surveillance is part of a KISS-module for the surveillance of multidrug-resistant organisms (MDRO). MDRO-KISS methods require surveillance of all patients admitted to the ward and standardized documentation of imported and ICU-acquired cases. Data on all MDRO-carriers including colonization and infection with MDRO are collected. All presented data were routine data collected from January 1st 2013 until December 1st 2013 in accordance with the German Protection against Infection Act (IfSG). RESULTS: 341 ICUs submitted data on MDRO during the first year. In total, 5,171 cases of multidrug-resistant Gram-negative bacteria (MRGN) were identified. 848 were CRO (16%). 325 CRO-cases were acquired within the ICU (38%), and 373 CRO-patients had an infection (44%). CRO-prevalence was 0.29 per 100 patients. Acquisition rate of MRGN was 1.32 per 1,000 patient days. This rate is more than doubled the acquisition rates of other MDRO under surveillance within MDRO-KISS (0.57 MRSA, 0.49 VRE). CRO-acquisition rate was 0.3 per 1,000 patient days. Incidence density of MRGN infections bacteria was 0.58 per 1,000 patient days (CRO 0.15/1,000 patient days). CONCLUSIONS: To date, CRO are common in German ICUs and the relatively large proportions of ICU-acquired CRO and infections emphasize their potential to cause outbreaks. High MRGN infection rates and high ESBL prevalence data from clinical studies suggest a lack of MRGN identification in asymptomatic carriers.

Antibiotic stewardship in Germany: a cross-sectional questionnaire survey of 355 intensive care units.

PURPOSE: Little information is available on antibiotic prescription management in German hospitals. The objective of this cross-sectional study was to determine the prevalence and components of antibiotic stewardship measures in German intensive care units (ICUs). METHODS: A questionnaire survey was sent to all ICUs participating in the German nosocomial infection surveillance system (n = 579) in October 2011. Data on antibiotic management structures were collected and analyzed by structural hospital and ICU factors. RESULTS: The questionnaire was completed by 355 German ICUs (response rate 61 %). Common measures used (>80 % of the ICUs) were personnel restrictions for antibiotic prescriptions, routine access to bacterial resistance data, and pharmacy reports on antibiotic costs and consumption. A small proportion of ICUs (14 %) employed physicians specialized in the prescription of antimicrobial medication. Hospitals with their own microbiological laboratory report participation in surveillance networks for antimicrobial use (34 %) and bacterial resistance (32 %) twice as often as hospitals with external laboratories (15 and 14 %, respectively, p < 0.001). Also, non-profit and public hospitals participate more often in surveillance networks for bacterial resistance than private hospitals (>23 % vs. 11 %, p < 0.05). CONCLUSIONS: While the majority of ICUs report to have some antibiotic policies established, the contents and composition of these policies vary. Organizational-level control strategies to improve antibiotic management are common in Germany. However, strategies widely considered effective, such as the systematic cross-institutional surveillance of antimicrobial use and bacterial resistance in a standardized manner or the employment of infectious disease specialists, are scarce. This study provides a benchmark for future antibiotic stewardship programs.