Chronic wounds complicated with biofilm formed by pathogens remain one of the most significant challenges of contemporary medicine. The application of topical antiseptic solutions against wound biofilm has been gaining increasing interest among clinical practitioners and scientific researchers. This paper compares the activity of polyhexanide-, octenidine- and hypochlorite/hypochlorous acid-based antiseptics against biofilm formed by clinical strains of Candida albicans, Staphylococcus aureus and Pseudomonas aeruginosa. The analyses included both standard techniques utilizing polystyrene plates and self-designed biocellulose-based models in which a biofilm formed by pathogens was formed on an elastic, fibrinous surface covered with a fibroblast layer. The obtained results show high antibiofilm activity of polihexanide- and octenidine-based antiseptics and lack or weak antibiofilm activity of hypochlorite-based antiseptic of total chlorine content equal to 80 parts per million. The data presented in this paper indicate that polihexanide- or octenidine-based antiseptics are highly useful in the treatment of biofilm, while hypochlorite-based antiseptics with low chlorine content may be applied for wound rinsing but not when specific antibiofilm activity is required.

Background: The ability to perform high-quality cardiopulmonary resuscitation is one of the basic skills for lifeguards. The aim of the study was to assess the influence of chest compression frequency on the quality of the parameters of chest compressions performed by lifeguards. Methods: This prospective observational, randomized, crossover simulation study was performed with 40 lifeguards working in Warsaw, Wroclaw, and Poznan, Poland. The subjects then participated in a target study, in which they were asked to perform 2-min cycles of metronome-guided chest compres

(1) Background: AI-based solutions could become crucial for the prediction of pregnancy disorders and complications. This study investigated the evidence for applying artificial intelligence methods in obstetric pregnancy risk assessment and adverse pregnancy outcome prediction. (2) Methods: Authors screened the following databases: Pubmed/MEDLINE, Web of Science, Cochrane Library, EMBASE, and Google Scholar. This study included all the evaluative studies comparing artificial intelligence methods in predicting adverse pregnancy outcomes. The PROSPERO ID number is CRD42020178944, and the study protocol was published before this publication. (3) Results: AI application was found in nine groups: general pregnancy risk assessment, prenatal diagnosis, pregnancy hypertension disorders, fetal growth, stillbirth, gestational diabetes, preterm deliveries, delivery route, and others. According to this systematic review, the best artificial intelligence application for assessing medical conditions is ANN methods. The average accuracy of ANN methods was established to be around 80–90%. (4) Conclusions: The application of AI methods as a digital software can help medical practitioners in their everyday practice during pregnancy risk assessment. Based on published studies, models that used ANN methods could be applied in APO prediction. Nevertheless, further studies could identify new methods with an even better prediction potential.

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With different videolaryngoscopes for pediatric patients available, UEScope can be used in all age groups. The aim of this study was to compare the Miller laryngoscope and UEScope in pediatric intubation by paramedics in different scenarios. Overall, 93 paramedics with no experience in pediatric intubation or videolaryngoscopy performed endotracheal intubation in scenarios: (A) normal airway without chest compressions, (B) difficult airway without chest compressions, (C) normal airway with uninterrupted chest compressions, (D) difficult airway with uninterrupted chest compressions. Scenario A. Total intubation success with both laryngoscopes: 100%. First-attempt success: 100% for UEScope, 96.8% for Miller. Median intubation time for UEScope: 13 s [IQR, 12.5–17], statistically significantly lower than for Miller: 14 s [IQR, 12–19.5] ( p = 0.044). Scenario B. Total efficacy: 81.7% for Miller, 100% for UEScope ( p = 0.012). First-attempt success: 48.4% for Miller, 87.1% for UEScope ( p = 0.001). Median intubation time: 27 s [IQR, 21–33] with Miller, 15 s [IQR, 14–21] with UEScope ( p = 0.001). Scenario C. Total efficiency: 91.4% with Miller, 100% with UEScope ( p = 0.018); first-attempt success: 67.7 vs. 90.3% ( p = 0.003), respectively. Intubation time: 21 s [IQR, 18–28] for Miller, 15 s [IQR, 12–19.5] for UEScope. Scenario D. Total efficiency: 65.6% with Miller, 98.9% with UEScope ( p < 0.001); first-attempt success: 29.1 vs. 72% ( p = 0.001), respectively. Intubation time: 38 s [IQR, 23–46] for Miller, 21 s [IQR, 17–25.5] for UEScope. Conclusion : In pediatric normal airway without chest compressions, UEScope is comparable with Miller. In difficult pediatric airways without chest compressions, UEScope offers better first-attempt success, shorted median intubation time, and improved glottic visualization. With uninterrupted chest compressions in normal or difficult airway, UEScope provides a higher first-attempt success, a shorter median intubation time, and a better glottic visualization than Miller laryngoscope. What is Known: • Endotracheal intubation is the gold standard for adult and children airway management. • More than two direct laryngoscopy attempts in children with difficult airways are associated with a high failure rate and increased incidence of severe complications. What is New: • In difficult pediatric airways with or without chest compressions, UEScope in inexperienced providers in simulated settings provides better first-attempt efficiency, median intubation time, and glottic visualization.