Implementation of an evidence-based sepsis program in the intensive care unit: evident or not?

Severe sepsis and septic shock are among the most serious health conditions and are associated with unwelcome clinical, social, and economic outcomes. With the introduction of the Surviving Sepsis Campaign guidelines, the campaign leaders aimed to reduce mortality from severe sepsis by at least one quarter by 2009 by means of a six-point action plan, namely, building awareness among health care professionals, improving early and accurate disease recognition and diagnosis, increasing the use of appropriate treatments and interventions, education, getting better post-intensive care unit access, and developing standard processes of care. However, adherence to these recommendations is a first but crucial step in obtaining these goals. A comprehensive evaluation of both, adherence to a sepsis program and whether this results in better outcomes for patients, is therefore essential to guide informed decision-making regarding the implementation of such an evidence-based protocol

Determinants and impact of multidrug antibiotic resistance in pathogens causing ventilator-associated-pneumonia

Introduction The idea that multidrug resistance (MDR) to antibiotics in pathogens causing ventilator-associated pneumonia (VAP) is an independent risk factor for adverse outcome is still debated. We aimed to identify the determinants of MDR versus non-MDR microbial aetiology in VAP and assessed whether MDR versus non-MDR VAP was independently associated with increased 30-day mortality. Methods We performed a retrospective analysis of a prospectively registered cohort of adult patients with microbiologically confirmed VAP, diagnosed at a university hospital intensive care unit during a three-year period. Determinants of MDR as compared with non-MDR microbial aetiology and impact of MDR versus non-MDR aetiology on mortality were investigated using multivariate logistic and competing risk regression analysis. Results MDR pathogens were involved in 52 of 192 episodes of VAP (27%): methicillin-resistant Staphylococcus aureus in 12 (6%), extended-spectrum beta-lactamase producing Enterobacteriaceae in 28 (15%), MDR Pseudomonas aeruginosa and other non-fermenting pathogens in 12 (6%). Multivariable logistic regression identified the Charlson index of comorbidity (odds ratio (OR) = 1.38, 95% confidence interval (CI) = 1.08 to 1.75, p = 0.01) and previous exposure to more than two different antibiotic classes (OR = 5.11, 95% CI = 1.38 to 18.89, p = 0.01) as predictors of MDR aetiology. Thirty-day mortality after VAP diagnosis caused by MDR versus non-MDR was 37% and 20% (p = 0.02), respectively. A multivariate competing risk regression analysis showed that renal replacement therapy before VAP (standardised hazard ratio (SHR) = 2.69, 95% CI = 1.47 to 4.94, p = 0.01), the Charlson index of comorbidity (SHR = 1.21, 95% CI = 1.03 to 1.41, p = 0.03) and septic shock on admission to the intensive care unit (SHR = 1.86, 95% CI = 1.03 to 3.35, p = 0.03), but not MDR aetiology of VAP, were independent predictors of mortality. Conclusions The risk of MDR pathogens causing VAP was mainly determined by comorbidity and prior exposure to more than two antibiotics. The increased mortality of VAP caused by MDR as compared with non-MDR pathogens was explained by more severe comorbidity and organ failure before VAP

Polysomnographic and multiple sleep latency testing data in a large sample of patients with chronic fatigue syndrome and their relationship with subjective scores

Background: Despite the majority of patients with chronic fatigue syndrome (CFS) complaining about sleep disturbances and/or non-refreshing sleep, abnormalities in objective sleep parameters have not consistently been identified in this population. Purpose: To assess objective parameters of sleep and sleepiness in a large sample of patients with CFS and their relationship with the subjective dimensions of mental and physical health, sleep quality, daytime sleepiness and fatigue. Methods: Objective sleep parameters were derived from polysomnography (PSG) and multiple sleep latency testing (MSLT). Subjective scores for mental and physical health, sleep quality, daytime sleepiness and fatigue were based on validated, self-report questionnaires. Hierarchical multiple regression analysis was performed to predict sleepiness, global quality of sleep and fatigue. Results: PSG in 184 CFS patients indicated decreased total sleep time and sleep efficiency as well as increased sleep latency and waking after sleep onset. Only a few modest but significant correlations (r's < .30) were found between objective parameters of sleep and sleepiness and subjective scores for health, sleep quality and fatigue. Conclusions: Objective sleep parameters indicated poor sleep in CFS, suggesting an insomnia phenotype, but with only modest associations to subjective scores of mental and physical health, sleep quality, daytime sleepiness and fatigue