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Background: A national point prevalence survey (PPS) of healthcare-associated infections (HAI) and antibiotic use (AU) was carried out in Germany in 2022 in the framework of the European PPS conducted by the European Centre for Disease Prevention and Control (ECDC). The objective was to determine the prevalence of HAI and AU in German hospitals and to compare the obtained values with those of the most recent previous PPS, which was carried out in 2016., Methods: The German National Reference Center for the Surveillance of Nosocomial Infections was entrusted with the organization of the PPS of 2022. As recommended by the ECDC, each hospital in a representative sample of 50 hospitals was invited to participate, and all other interested hospitals in Germany were also able to participate if desired. The data were collected by specially trained hospital staff in May, June, and July 2022. The definitions and methods put forth by the ECDC were used., Results: Data from 66 586 patients in 252 hospitals were included. The prevalence of HAI in all participating hospitals was 4.9%, and that of AU was 26.9%. The HAI and AU prevalences were essentially unchanged in comparison to 2016. The most common types of HAI were surgical site infection (23.5%), lower respiratory tract infection (21.6%), and urinary tract infection (19.0%)., Conclusion: HAI were just as frequent in 2022 as in 2016, affecting approximately one in twenty hospitalized patients on any given day.

Background: One possible transmission route for nosocomial pathogens is contaminated medical devices. Formation of biofilms can exacerbate the problem. We report on a carbapenemase-producing Klebsiella pneumoniae that had caused an outbreak linked to contaminated duodenoscopes. To determine whether increased tolerance to disinfectants may have contributed to the outbreak, we investigated the susceptibility of the outbreak strain to disinfectants commonly used for duodenoscope reprocessing. Disinfection efficacy was tested on planktonic bacteria and on biofilm., Methods: Disinfectant efficacy testing was performed for planktonic bacteria according to EN standards 13727 and 14561 and for biofilm using the Bead Assay for Biofilms. Disinfection was defined as ≥ 5log 10 reduction in recoverable colony forming units (CFU)., Results: The outbreak strain was an OXA-48 carbapenemase-producing K. pneumoniae of sequence type 101. We found a slightly increased tolerance of the outbreak strain in planktonic form to peracetic acid (PAA), but not to other disinfectants tested. Since PAA was the disinfectant used for duodenoscope reprocessing, we investigated the effect of PAA on biofilm of the outbreak strain. Remarkably, disinfection of biofilm of the outbreak strain could not be achieved by the standard PAA concentration used for duodenoscope reprocessing at the time of outbreak. An increased tolerance to PAA was not observed in a K. pneumoniae type strain tested in parallel., Conclusions: Biofilm of the K. pneumoniae outbreak strain was tolerant to standard disinfection during duodenoscope reprocessing. This study establishes for the first time a direct link between biofilm formation, increased tolerance to disinfectants, reprocessing failure of duodenoscopes and nosocomial transmission of carbapenem-resistant K. pneumoniae., (© 2022. The Author(s).)

Background: Factors contributing to the spread of SARS-CoV-2 outside the acute care hospital setting have been described in detail. However, data concerning risk factors for nosocomial SARS-CoV-2 infections in hospitalized patients remain scarce. To close this research gap and inform targeted measures for the prevention of nosocomial SARS-CoV-2 infections, we analyzed nosocomial SARS-CoV-2 cases in our hospital during a defined time period., Methods: Data on nosocomial SARS-CoV-2 infections in hospitalized patients that occurred between May 2020 and January 2021 at Charité university hospital in Berlin, Germany, were retrospectively gathered. A SARS-CoV-2 infection was considered nosocomial if the patient was admitted with a negative SARS-CoV-2 reverse transcription polymerase chain reaction test and subsequently tested positive on day five or later. As the incubation period of SARS-CoV-2 can be longer than five days, we defined a subgroup of "definite" nosocomial SARS-CoV-2 cases, with a negative test on admission and a positive test after day 10, for which we conducted a matched case-control study with a one to one ratio of cases and controls. We employed a multivariable logistic regression model to identify factors significantly increasing the likelihood of nosocomial SARS-CoV-2 infections., Results: A total of 170 patients with a nosocomial SARS-CoV-2 infection were identified. The majority of nosocomial SARS-CoV-2 patients (n = 157, 92%) had been treated at wards that reported an outbreak of nosocomial SARS-CoV-2 cases during their stay or up to 14 days later. For 76 patients with definite nosocomial SARS-CoV-2 infections, controls for the case-control study were matched. For this subgroup, the multivariable logistic regression analysis revealed documented contact to SARS-CoV-2 cases (odds ratio: 23.4 (95% confidence interval: 4.6-117.7)) and presence at a ward that experienced a SARS-CoV-2 outbreak (odds ratio: 15.9 (95% confidence interval: 2.5-100.8)) to be the principal risk factors for nosocomial SARS-CoV-2 infection., Conclusions: With known contact to SARS-CoV-2 cases and outbreak association revealed as the primary risk factors, our findings confirm known causes of SARS-CoV-2 infections and demonstrate that these also apply to the acute care hospital setting. This underscores the importance of rapidly identifying exposed patients and taking adequate preventive measures., (© 2022. The Author(s).)

Background: Early detection of clusters of pathogens is crucial for infection prevention and control (IPC) in hospitals. Conventional manual cluster detection is usually restricted to certain areas of the hospital and multidrug resistant organisms. Automation can increase the comprehensiveness of cluster surveillance without depleting human resources. We aimed to describe the application of an automated cluster alert system (CLAR) in the routine IPC work in a hospital. Additionally, we aimed to provide information on the clusters detected and their properties., Methods: CLAR was continuously utilized during the year 2019 at Charité university hospital. CLAR analyzed microbiological and patient-related data to calculate a pathogen-baseline for every ward. Daily, this baseline was compared to data of the previous 14 days. If the baseline was exceeded, a cluster alert was generated and sent to the IPC team. From July 2019 onwards, alerts were systematically categorized as relevant or non-relevant at the discretion of the IPC physician in charge., Results: In one year, CLAR detected 1,714 clusters. The median number of isolates per cluster was two. The most common cluster pathogens were Enterococcus faecium (n = 326, 19 %), Escherichia coli (n = 274, 16 %) and Enterococcus faecalis (n = 250, 15 %). The majority of clusters (n = 1,360, 79 %) comprised of susceptible organisms. For 906 alerts relevance assessment was performed, with 317 (35 %) alerts being classified as relevant., Conclusions: CLAR demonstrated the capability of detecting small clusters and clusters of susceptible organisms. Future improvements must aim to reduce the number of non-relevant alerts without impeding detection of relevant clusters. Digital solutions to IPC represent a considerable potential for improved patient care. Systems such as CLAR could be adapted to other hospitals and healthcare settings, and thereby serve as a means to fulfill these potentials., (© 2021. The Author(s).)

Introduction: Outbreaks of communicable diseases in hospitals need to be quickly detected in order to enable immediate control. The increasing digitalization of hospital data processing offers potential solutions for automated outbreak detection systems (AODS). Our goal was to assess a newly developed AODS., Methods: Our AODS was based on the diagnostic results of routine clinical microbiological examinations. The system prospectively counted detections per bacterial pathogen over time for the years 2016 and 2017. The baseline data covers data from 2013-2015. The comparative analysis was based on six different mathematical algorithms (normal/Poisson and score prediction intervals, the early aberration reporting system, negative binomial CUSUMs, and the Farrington algorithm). The clusters automatically detected were then compared with the results of our manual outbreak detection system., Results: During the analysis period, 14 different hospital outbreaks were detected as a result of conventional manual outbreak detection. Based on the pathogens' overall incidence, outbreaks were divided into two categories: outbreaks with rarely detected pathogens (sporadic) and outbreaks with often detected pathogens (endemic). For outbreaks with sporadic pathogens, the detection rate of our AODS ranged from 83% to 100%. Every algorithm detected 6 of 7 outbreaks with a sporadic pathogen. The AODS identified outbreaks with an endemic pathogen were at a detection rate of 33% to 100%. For endemic pathogens, the results varied based on the epidemiological characteristics of each outbreak and pathogen., Conclusion: AODS for hospitals based on routine microbiological data is feasible and can provide relevant benefits for infection control teams. It offers in-time automated notification of suspected pathogen clusters especially for sporadically occurring pathogens. However, outbreaks of endemically detected pathogens need further individual pathogen-specific and setting-specific adjustments., Competing Interests: The authors have declared that no competing interests exist.

Background: Bloodstream infections (BSIs) are the most frequent nosocomial infections in neonatal intensive care units (NICUs), especially in very low birth weight (VLBW) infants (birth weight ≤ 1500g). An epidemiologic surveillance system may contribute to the prevention of infection by continuous monitoring of its frequency and associated risk factors. The aim of this article was to describe the implementation of the NeoKissEs surveillance system for BSIs in VLBW newborns in a group of Spanish NICUs., Methods: We assessed the clinical cohort consisting of all VLBW newborns aged less than 28 days admitted to the participating units. In the pilot phase, 2NICUs translated and adapted materials from the original German NEO-KISS system. During implementation, 210 health care professionals attended one of 8 educational workshops. A web-based system was created that allows entering data regarding patients and BSI episodes, data monitoring, benchmarking and providing feedback to the units. At each NICU, one neonatologist was responsible for the implementation of the system and reporting the difficulties perceived throughout the process., Results: Out of the 50 units that agreed to participate, 45 successfully started using the surveillance platform during the implementation phase, recording 1108 episodes of catheter-associated BSI (CABSI) in 3638 newborns, and finding an overall rate of CABSI of 18.4 (95% CI, 17.8-19.1) per 1000 catheter days., Conclusions: The NeoKissEs surveillance system constitutes a helpful source of information for the purpose of benchmarking the performance of neonatal units, assessing factors associated with BSI in VLBW infants and measuring the impact of future preventive interventions in NICUs., (Copyright © 2018 Asociación Española de Pediatría. Publicado por Elsevier España, S.L.U. All rights reserved.)

Background: In 2011 and again in 2016, the European Centre for Disease Prevention and Control (ECDC) asked all European countries to carry out nationwide studies on the prevalence of nosocomial infection (NI) and antibiotic use (AU). Data on NI and AU constitute an essential basis for the development of measures to prevent infection and lessen antibiotic resistance., Methods: The German prevalence study of 2016 was carried out according to the ECDC protocol. Alongside a sample of 49 acute-care hospitals requested by the ECDC that was representative in terms of size (number of beds), further hospitals were invited to participate as well. Analyses were made of the overall group (218 hospitals, 64 412 patients), the representative group (49 hospitals), and the core group (46 hospitals). The core group consisted of the hospitals that had participated in the study of 2011., Results: The prevalence of patients with NI was 4.6% in the overall group in 2016; it had been 5.1% in 2011 (p <0.01). In the representative group, the prevalence was 3.6% (compared to 5.1% in 2011, p <0.01). In the core group, the prevalence of NI was the same in 2016 as it had been in 2011. The prevalence of patients with ABU in the overall group remained the same, but a fall was seen in the representative group (21.5% versus 23.3%; p <0.01) and a rise in the core group (27.3% versus 26.2%; p = 0.02). The staff-patient ratio among the infection prevention and control professionals improved in all three groups., Conclusion: A decrease in NI and AU prevalence was seen in the representative group, while mixed results were seen in the other analyzed groups. Further efforts to reduce NI and ABA are clearly necessary.

OBJECTIVE To improve the patient safety of very-low-birthweight infants in neonatal departments in Germany. DESIGN Multicenter cohort study with a baseline (24 months), an intervention (12 months), and a postinterventional follow-up period (12 months) and time series analysis. STUDY POPULATION Very-low-birthweight patients from 32 neonatal departments in Germany. METHODS Neonatal departments showing a standardized infection ratio of bloodstream infection 10% higher than the expected number (standardized infection ratio ≥1.1) were invited to participate in the study. To reduce the occurrence of primary bloodstream infections, evidence-based bundles to improve catheter maintenance routines, insertion practice, and hand-hygiene compliance were implemented in the participating infirmaries. RESULTS Thirty-four departments participated in the study and 32 reported data. In total, 6,222 very-low-birthweight infants with 231,868 patient-days and 1,405 cases of bloodstream infections were analyzed. In the baseline period the pooled mean bloodstream infection rate was 6.63 (95% CI, 6.17-7.12) per 1,000 patient-days. The bloodstream infection rate decreased in the intervention period to 5.68 (relative risk, 0.86 [95% CI, 0.76-0.97]) and in the 1-year follow-up period to 5.31 per 1,000 patient-days (relative risk, 0.80 [95% CI, 0.70-0.92]). The multivariable time series analysis of monthly aggregated data showed a significant change in the slope for the frequency of bloodstream infections from the start to the end of the intervention (change in slope incidence rate ratio, 0.97; P=.001). CONCLUSION The implementation of an intervention bundle is feasible and can reduce bloodstream infections in neonatal departments. Infect Control Hosp Epidemiol 2016;37:798-804.

Background and Objectives: Nosocomial infections in NICUs tend to cluster, sometimes as devastating outbreaks, but pathogen-specific transmission probabilities are unknown. We aimed to quantify the pathogen-specific risk of a blood stream infection (BSI) in preterm infants after an index case with that pathogen in the same department., Methods: Data of 44 818 infants below 1500 g birth weight of the German NICU surveillance system (2000-2011) were used to calculate the probability of a BSI in the presence or absence of another infant in the same unit with a same-pathogen BSI., Results: The relative risk was similar for the more common pathogens, Enterococcus spp (4.3; 95% confidence interval: 2.7-6.9; n = 243), Enterobacter spp (7.9, 5.4-11.4; n = 246), Escherichia coli (7.9; 5.1-12.1; n = 210), Candida albicans (8.7; 5.0-15.4; n = 138), Staphylococcus aureus (9.5; 7.6-12.1; n = 407) and Klebsiella spp (13.1; 9.0-19.1; n = 190) but markedly elevated for Serratia spp (77.5; 41.1-146.1; n = 58) and Pseudomonas aeruginosa (64.5; 25.7-162.1; n = 38). Rates of BSI per 100 exposed infants ranged between 2.21 (Enterococcus) and 8.15 (Serratia). The same pattern emerged after adjustments were made for patients' characteristics or when the analysis was restricted to positive blood cultures during the preceding 30 days., Conclusions: Although BSIs with P aeruginosa or Serratia spp in preterm infants are rare, they are associated with a markedly elevated risk of secondary same-pathogen BSI and should prompt intensified active surveillance and infection control measures., (Copyright © 2016 by the American Academy of Pediatrics.)

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., (Copyright © 2015 Elsevier GmbH. All rights reserved.)

Background: We evaluated the mortality due to nosocomial bloodstream infection (BSI) and necrotizing enterocolitis (NEC) in very low birth weight (VLBW) infants in 229 neonatal departments participating in the German national neonatal infection surveillance system between 2000 and 2011., Methods: For each infection type, we conducted a retrospective cohort study and a case-control study. In the cohort studies, the mortality risk due to BSI and/or NEC was estimated by calculating adjusted hazard ratios (AHRs) with 95% confidence intervals (CIs) using Cox proportional hazard regression with time the dependent variable infection. In the matched case-control studies, the attributable mortality was calculated., Results: A total of 43,116 VLBW infants, of which 6911 patients had at least 1 BSI and 1271 patients had at least 1 NEC, were analyzed. Overall mortality was 6.6%. Patients with at least 1 BSI had a mortality of 5.6%, and patients with at least 1 NEC had a mortality of 19.2%. The cohort studies revealed that BSI (AHR=1.83; 95% CI: 1.61-2.08) and NEC (AHR=6.35; 95% CI: 5.47-7.37) are independently associated with increased mortality. In the case-control study for BSI, 5187 (75.1%) patients with BSI were matched. Attributable mortality was 1.4% (95% CI: 0.7-2.2). In the case-control study for NEC, 1092 (85.9%) patients with NEC were matched. Attributable mortality was 14.7% (95% CI: 12.2-17.1)., Conclusions: Nosocomial BSI and NEC increased mortality in VLBW infants. BSI, however, was associated with a relatively small attributable mortality of 1.4%, whereas NEC had a high attributable mortality of 14.7%.

Background: Outbreaks on neonatal intensive care units (NICUs) achieve huge media interest, but the real number of neonatal outbreaks within a country is unknown., Method: This calculation is based on the data of the component for nosocomial infections in very low birth weight (VLBW) infants of the German national nosocomial infection surveillance system (NEO-KISS) from 2006 to 2011. Almost all German NICUs caring for VLBW infants participated in this surveillance system. A cluster was defined and an outbreak was assumed when at least two cases of severe neonatal infection (bloodstream infection, pneumonia) occurred within a defined time interval in one center with the same pathogen species in different patients. Four different intervals were used for calculation: 14, 30, 60, and 90 days. Infections with coagulase-negative staphylococci (CoNS) were excluded., Results: A total of 228 NICUs provided data in the six-year study period. A total of 37,038 VLBW infants and 1,361,950 patient days were used for the calculation. 7,405 severe neonatal infections occurred, and a microbiological detection of the pathogen was successful in 2,084 cases. Altogether, between 121 and 280 outbreaks were calculated according to the different time intervals used. Most outbreaks were due to Staphylococcus aureus, followed by Enterococcus spp. and Enterobacter spp., Conclusion: It can be assumed that at least between 26 and 61 neonatal outbreaks with at least two severe infections take place in German NICUs per year. The actual number seems to be higher because only laboratory-confirmed infections in a subgroup of patients were used for the analysis.

Background: In 2011, seventeen years after the first national study on the prevalence of nosocomial infections and antibiotic use in German hospitals, a second national prevalence study was carried out according to the specifications of the European Centre for Disease Prevention and Control (ECDC)., Methods: The ECDC protocol, containing uniform surveillance definitions and ascertainment methods, was implemented. The only infections counted were those that were active or under treatment with antibiotics on the day of the study. In addition to the representative sample required by the ECDC, which consisted of 46 hospitals, further hospitals participated on a voluntary basis., Results: Data on 41 539 patients in 132 hospitals were analyzed. The prevalence of infections that had arisen during the current hospital stay was 3.8% in the overall group and 3.4% in the representative sample of 9626 patients in 46 hospitals. The prevalence of all nosocomial infections, including those acquired before the current hospital stay and still present upon admission, was 5.1% in both the overall group and the representative sample. The prevalence of antibiotic use on the day of the study was 25.5% and 23.3% in the two groups, respectively., Conclusion: The prevalence of nosocomial infection has not changed since 1994, but the prevalence of antibiotic use has increased. In interpreting these findings, one should bear in mind that confounders may have influenced them in different directions: The mean length of hospital stay is now shorter than in 1994, but the mean age of hospitalized patients is higher.

Background: Infants with very low birthweight (< 1 500 g, VLBW) are at increased risk for nosocomial infections (NI). In 2 000, we implemented a surveillance system for VLBW infants in Germany: NEO-KISS. In 2005, a joint committee of healthcare providers and insurance companies required German neonatology departments to participate. As a result, NEO-KISS is now a nationwide surveillance system for NI in VLBW infants., Patients and Methods: We present NEO-KISS data collected between 2007 and 2011 by 228 neonatology departments. Rates of sepsis, pneumonia and necrotising enterocolitis (NEC) were calculated. In order to evaluate the department-specific infection rate we introduced a new indicator: the Standardised Infection Rate (SIR). The SIR considers the department-specific patient distribution (based on the patients' birthweight) and describes the ratio of observed and expected infections (calculated from the reference data for this individual patient distribution). The data presented comprise 33 048 VLBW infants.The incidence density of CVC-associated sepsis 8.6 per 1 000 CVC-days., Results and Conclusion: The incidence of pneumonia among mechanically ventilated patients was 2.7/1 000 ventilator days. The incidence of NEC was 0.8. The SIR showed strong variation among the participating departments. It is an excellent tool for identifying outliers in nosocomial infection rates and for stimulating activities to decrease the risk of nosocomial infections., (© Georg Thieme Verlag KG Stuttgart · New York.)

Surveillance of nosocomial infections is meanwhile a cornerstone of infection prevention activities in hospitals. The objective of this article is to compare healthcare-associated infection rates in intensive care patients, neonatal intensive care patients and operated patients (ICU-KISS, OP-KISS, NEO-KISS) of the German nosocomial infection surveillance system (KISS) with the corresponding data of the US American National Healthcare Safety Network (NHSN) and the European Centre for Disease Prevention and Control (ECDC). In general, the methodological differences among the three surveillance systems are minor but there are some exceptions. Therefore, differences between countries have to be interpreted very carefully as they may be due to differences in diagnostics, patient mix, types of interventions, length of stay, selection of participating hospitals, post-discharge surveillance activities and interpretation of case definitions. Organizational aspects, such as mandatory participation with public disclosure on infection rates may also have an impact.

Background: NEO-KISS is a national surveillance system generating reference data for nosocomial infections among very low birth weight infants (VLBW) and was established 2000 as a voluntary based system. Since 2006 exist an official decision that participation in NEO-KISS is a prerequisite for the care of VLBW at level III NICUs in Germany., Method: Comparing the reference data before and after the resolution and analysing the structure and the infection rates between the departments participating since 2006 (new-departments) and the neonatology departments participating voluntary before 2006 (old-departments)., Results: Since 2006 the number of participating departments increased clarion. The characteristic of the 110 new-departments differs from the 46 old-departments in many ways. The old-departments treated more VLBW per month, have more beds and are located at larger hospitals. The distribution of the treated VLBW shows a trend to lower birth-weights in the old-departments. However, the comparison of the reference data 2005, generated only from data from old-departments, shows no systematic changes to the reference data 2006 (including data from numerous new-departments). Also the comparison of the infection rates from for an identical time period separated for new and old-departments shows only minor differences., Conclusion: The inclusion of many new departments in NEO-KISS shows no influence to the reference data. And also the comparison of infection rates between new and old-departments shows no systematic discrepancy. It follows the unnecessary of separating the data from old-departments and new-departments and the appropriateness of the entire databank to generate the national reference data.