Antibiotic resistance in Sudan: assessing the knowledge and practices of healthcare workers in Khartoum.

Background: Antibiotic resistance (ABR) is a major public health issue, associated with increased patient morbidity and mortality globally, with significantly higher rates in low- and middle-income countries (LMICs). Assessment of contextual factors, such as information, education, infrastructure and regulations are important for developing local solutions against ABR. Objectives: To determine the knowledge and practices of healthcare workers (HCWs) towards ABR in hospitals in Sudan. Materials and methods: A survey was conducted in three different hospitals in Khartoum, Sudan from February to December 2020. HCWs of different specialties and expertise were invited to participate. Data were descriptively analysed using Statistical Package for Social Sciences (SPSS). Results: ABR was identified as a big challenge by 89% of 345 HCWs who participated. The results show that 79% of doctors don't rely on the clinical microbiology laboratory (CML) results for antibiotic prescription or clinical decision-making. Sixty percent of HCWs agreed there are infection prevention and control (IPC) guidelines in their hospital, but 74% of them don't have access to them, and infrequently receive relevant IPC training. Furthermore, HCWs obtain ABR information from other colleagues informally, not through local data or reports. Conclusions: Despite adequate knowledge of ABR locally, there are significant contextual technical challenges facing HCWs in Sudan, such as availability of policies and accurate data from CMLs. The results indicate a poor link between HCWs and the CMLs for infection management and it is essential to improve communication between the different hospital departments with regard to ABR transmission, and ensure the effectiveness of local IPC policies based on locally available data.

Patient preferences for stratified medicine in psoriasis: a discrete choice experiment.

BACKGROUND: New technologies have enabled the potential for stratified medicine in psoriasis. It is important to understand patients' preferences to enable the informed introduction of stratified medicine, which is likely to involve a number of individual tests that could be collated into a prescribing algorithm for biological drug selection to be used in clinical practice. OBJECTIVES: To quantify patient preferences for an algorithm-based approach to prescribing biologics ('biologic calculator') in psoriasis. METHODS: An online survey comprising a discrete choice experiment (DCE) was conducted to elicit the preferences of two purposive samples of adults living with psoriasis in the UK, identified from a psoriasis patient organization (Psoriasis Association) and an online panel provider (Dynata). Respondents chose between two biologic calculators and conventional prescribing described using five attributes: treatment delay; positive predictive value; negative predictive value; risk of infection; and cost saving to the National Health Service. Each participant selected their preferred alternative from six hypothetical choice sets. Additional data, including sociodemographic characteristics, were collected. Choice data were analysed using conditional logit and fully correlated random parameters logit models. RESULTS: Data from 212 respondents (67 from the Psoriasis Association and 145 from Dynata) were analysed. The signs of all estimated coefficients were consistent with a priori expectations. Respondents had a strong preference for a high predictive accuracy and avoiding serious infection, but there was evidence of systematic differences in preferences between the samples. CONCLUSIONS: This study indicates that individuals with psoriasis would value a biologic calculator and suggested that such a biologic calculator should have sufficient accuracy to predict future response and risk of serious infection from the biologic.

Neurotherapeutic effects of Ginkgo biloba extract and its terpene trilactone, ginkgolide B, on sciatic crush injury model: A new evidence.

Ginkgo biloba leaves extract (GBE) was subjected to neuroprotective-guided fractionation to produce eleven fractions with different polarities and constituents. The intermediate polar fraction was shown to be terpene trilactones-enriched fraction (TEGBE). Out of this fraction, pure ginkgolide B (G-B) was further purified and identified based on its spectral data. The effects of GBE and TEGBE were evaluated in comparison to that of G-B in the crush sciatic nerve injury rat model. To evaluate the neuroprotective effects, sixty Wistar male rats were randomly allocated into 6 groups: naive, sham, crush + normal saline, and three treatment groups; crush + GBE, crush + TEGBE, and crush + G-B. Treatments were given one hour following injury, and once daily for 14 days. Neurobehavioral tests, histomorphological examinations, and immunohistochemical analysis of the sciatic nerve and the spinal cord were performed at weeks 3 and 6 post-injury. GBE, TEGBE and G-B were shown to enhance the functional and sensory behavioral parameters and to protect the histological and the ultrastructural elements in the sciatic nerve. Additionally, all treatments prevented spinal cord neurons from further deterioration. It was shown that G-B has the most significant potential effects among all treatments with values that were nearly comparable to those of sham and naive groups.

Ambu AuraGain versus intubating laryngeal tube suction as a conduit for endotracheal intubation.

BACKGROUND AND AIMS: Newly developed supraglottic airway devices (SGAs) are designed to be used both for ventilation and as conduits for endotracheal intubation with standard endotracheal tubes (ETTs). We compared the efficacy of the Ambu AuraGain (AAG) and the newly developed intubating laryngeal tube suction disposable (ILTS-D) as conduits for blind and fiber-optically guided endotracheal intubation in an airway mannequin. MATERIAL AND METHODS: This is a prospective, randomized, crossover study in an airway mannequin, with two arms: blind ETT insertion by medical students and fiber-optically guided ETT insertion by anesthesiologists. The primary outcome variable was the time to achieve an effective airway through an ETT using AAG and ILTS-D as conduits. Secondary outcome variables were the time to achieve effective supraglottic ventilation and successful exchange with an ETT, and the success rates for blind endotracheal intubation and fiber-optically guided intubation techniques for both SGAs. RESULTS: Forty participants were recruited to each group. All participants were able to insert both devices successfully on the first attempt. For blind intubation, the success rate for establishing a definitive airway with an ETT using the SGA as a conduit was significantly higher with ILTS-D (82.5%) compared with AAG (20.0%) (P < 0.001). None of the participants were able to successfully complete the exchange of the SGA for the ETT with the AAG. In the fiber optic guided intubation group, the rate of successful exchange was significantly higher with ILTS-D (84.6%) compared with AAG (61.5%) (P = 0.041). CONCLUSION: The ILTS-D successfully performs in an airway mannequin with higher success rate and shorter time for blindly establishing an airway with an ETT using the SGA as a conduit, compared with AAG. Further clinical trials are warranted.