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Background: Acinetobacter baumannii causes frequently nosocomial infections worldwide. Its ability to survive on dry surfaces facilitates its spread and the persistence of endemic situations, especially in the intensive care units (ICUs). The objective of this paper is to describe a multicomponent intervention program designed to control a hyperendemic persistence of multidrug-resistant A. baumannii (MDR-Ab) and to characterize its impact. Methods: Design: Quasi-experimental intervention study based on open cohorts. Setting: Public tertiary referral centre. Period: January 2009–August 2017. Intervention: multifaceted program based on environmental decontamination, hand hygiene, antimicrobial stewardship, contact precautions, active surveillance, weekly reports and regular meetings. Analysis: joinpoint regression and interrupted time-series analysis. Results: The intervention was successfully implemented. Through the study period, the compliance with contact precautions changed from 0 to 100% and with hand hygiene, from 41.8 to 82.3%. Between 2012 and 2016, the antibiotic consumption decreased from 165.35 in to 150.44 daily-defined doses/1000 patients-days in the ICU. The incidence density of MDR-Ab in the ICU was 10.9 cases/1000 patients-days at the beginning of the intervention. After this moment, the evolution of the incidence density of MDR-Ab was: between months 0 and 6°, it remained stable; between months 7° and 10°: there was an intense decrease, with an average monthly percentage change (AMPC) = − 30.05%; from 11° month until the end, the decrease was lighter but continuous (AMPC:-2.77%), achieving an incidence density of 0 cases/1000 patients-days on the 18° month, without any new case for 12 months. From the 30° month until the end of the study period, several little outbreaks of MDR-Ab were detected, all of them rapidly controlled. The strains of MDR-Ab isolated during these outbreaks were not clonally related with the previously endemic one, which support

Objective: To evaluate the ability of the BioFire FilmArray Blood Culture Identification (BCID) panel to rapidly detect pathogens producing late-onset ventilator-associated pneumonia (VAP), a severe infection often produced by Gram-negative bacteria. These microorganisms are frequently multidrug resistant and typically require broad-spectrum empiric treatment. Methods: In the context of an international multicentre clinical trial (MagicBullet), respiratory samples were collected at the time of suspicion of VAP from 165 patients in 32 participating hospitals in Spain, Greece and Italy. Microorganisms were identified using the BCID panel and compared with results obtained by conventional microbiologic techniques. Results: Pseudomonas aeruginosa, Acinetobacter baumannii and Klebsiella pneumoniae were the most commonly identified species, representing 54.7% (70/128) of microorganisms. The BCID panel showed high global specificity (98.1%; 95% confidence interval, 96–100) and negative predictive values (96.6%) and a global sensitivity and positive predictive value of 78.6% (95% confidence interval, 70–88) and 87.3%, respectively, for these microorganisms. Importantly, the BCID panel provided results in only 1 hour directly from respiratory samples with minimal sample processing times. Conclusions: The BCID panel may have clinical utility in rapidly ruling out microorganisms causing VAP, specifically multidrug-resistant Gram-negative species. This could facilitate the optimization of empiric treatment.

Objectives: The proportion of very elderly people in the population is increasing, and infectious diseases in this patient group may present with specific characteristics. The objective of this study was to investigate the outcome predictors of bacteremia among the very elderly. Methods: This was a multicenter prospective cohort study of bloodstream infections (BSI) in patients 80 years old in 15 hospitals in Spain. The outcome variables were 14-day and 30-day mortality. Multivariate analysis was performed. Results: One hundred and twenty episodes were included. Mortality was 22% (n = 26) on day 14 and 28% (n = 34) on day 30. In the univariate analysis, the variables associated with mortality were neutropenia, recent surgery, Pitt score 2, intensive care unit (ICU) admission, severe sepsis or shock, and abdominal, unknown, and respiratory tract sources. In themultivariate analysis, variables associated with mortality on day 14 were high-risk source (abdominal, unknown, and respiratory tract sources; odds ratio (OR) 7.9, 95% confidence interval (CI) 1.8–33.9), Pitt score 2 (OR 5.6, 95% CI 1.3–23.3), inadequate empirical treatment (OR 11.24, 95% CI 1.6–80.2), and severe sepsis or shock at presentation (OR 5.3, 95% CI 1.4–20.7); the interaction between empiric treatment and high-risk source was significant. On day 30, mortality was independently related to a high-risk source (OR 2.92, 95%CI 1.1–7.5) and presentation with severe sepsis or shock (OR 3.81, 95% CI 1.2–12.4). Conclusions: Presentation with severe sepsis or shock and a high-risk source of BSI were independent predictors of 14-day and 30-day mortality. Inadequate empirical treatment was also a predictor of early mortality in patients with a high-risk source