Porcine model of a complicated skin and soft tissue infection caused by Pseudomonas aeruginosa.

Pseudomonas aeruginosa poses a significant threat to both immunocompetent and immunocompromised individuals, often resulting in life-threatening infections. With increasing antimicrobial resistance, novel therapeutic strategies are urgently needed. Although animal models are crucial for preclinical studies, limited data are available for porcine models, more specifically for P. aeruginosa complicated skin and soft tissue infections (cSSTIs). This study presents a novel porcine model inducing and sustaining cSSTI for 14 days. Six pigs (120 wounds) were used for the development of infections, and within this group, two pigs (40 wounds) were used to evaluate the progression of the cSSTI infection. The model demonstrated bacterial loads of more than 107 CFU/gram of tissue or higher. The cSSTI fully developed within three days and remained well above these levels until day 14 post-infection. Due to the immunocompetence of this model, all the immunological processes associated with the response to the presence of infection and the wound healing process are preserved.

Predictors of Short- and Long-Term Mortality in Ischemic Stroke: A Community-Based Study in Brno, Czech Republic.

BACKGROUND AND OBJECTIVE: Short- and long-term mortality following ischemic stroke (IS) and their predictors have not been defined in the Czech population, and studies on long-term mortality are largely missing for the populations of Central Europe. METHODS: Using the National Register of Hospitalized Patients and the Czech National Mortality Registry, we analyzed data on 1-month, 1-year, and 3-year all-cause mortality for patients admitted with IS to any of the 4 hospitals with a certified stroke unit in Brno, Czech Republic, in 2011. We reviewed discharge summaries and recorded potential factors impacting mortality after the index stroke event. Using univariate and multivariable analyses, we identified predictors of mortality at all 3 time points. RESULTS: In our multivariable model, statin use (odds ratio [OR] 0.095, p < 0.0001), age at stroke (OR 1.03, p = 0.0445), and admission National Institutes of Health Stroke Scale (NIHSS) score (OR 1.16, p < 0.0001) predicted 1-month mortality, while statin use (OR 0.43, p = 0.0004), history of cardiac failure (OR 2.17, p = 0.0137), age at stroke (OR 1.07, p < 0.0001), and admission NIHSS score (OR 1.14, p < 0.0001) predicted 1-year mortality. Statin use (OR 0.54, p = 0.0051), history of cardiac failure (OR 2.13, p = 0.0206), age at stroke (OR 1.07, p < 0.0001), and admission NIHSS score (OR 1.11, p < 0.0001) also predicted 3-year mortality. CONCLUSIONS: Our study is the first to report data on short- and long-term mortality rates and their predictors in patients hospitalized with IS in the Czech population. Our results indicate that mortality rates and predictors of mortality are consistent with those reported in studies from other populations throughout the world.