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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: 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.