Nanomedicine is an advanced version of Paul Ehrlich’s “magic bullet” concept. Targeted drug delivery is a system of specifying the drug moiety directly into its targeted body area (organ, cellular, and subcellular level of specific tissue) to overcome the aspecific toxic effect of conventional drug delivery, thereby reducing the amount of drug required for therapeutic efficacy. To achieve this objective, the magic bullet concept was developed and pushed scientists to investigate for more than a century, leading to the envisioning of different nanometer-sized devices — today’s nanomedicine. Different carrier systems are being used and investigated, which include colloidal (vesicular and multiparticulate) carriers, polymers, and cellular/subcellular systems. This review addresses the need for and advantages of targeting, with its basic principles, strategies, and carrier systems. Recent advances, challenges, and future perspectives are also highlighted.

A serious viral infectious disease was introduced to the globe by the end of 2019 that was seen primarily from China, but spread worldwide in a few months to be a pandemic. Since then, accurate prevention, early detection, and effective treatment strategies are not yet outlined. There is no approved drug to counter its worldwide transmission. However, integration of nanostructured delivery systems with the current management strategies has promised a pronounced opportunity to tackle the pandemic. This review addressed the various promising nanotechnology-based approaches for the diagnosis, prevention, and treatment of the pandemic. The pharmaceutical, pharmacoeconomic, and regulatory aspects of these systems with currently achieved or predicted beneficial outcomes, challenges, and future perspectives are also highlighted.

It has been a year and a half since the world suffered the horrific COVID-19 pandemic which has still continued becoming a prominent headache for the whole world. Recently, we are facing the second and third wave of multivariate outbreaks with great intensity of transmission which renders huge disaster. Presently, new strains of the virus are emerging that are predicted to be resistant for the current vaccines and other management approaches. It needs collaborative and coordinated role at professional, facility, regional, and global levels to ameliorate the pandemic by monitoring the existing and emerging variants. This review addressed the multidisciplinary roles in patient screening and detection, emergency management, moderate and critical care, vaccination, complication prevention, comorbidity management, psychological therapy, and digital health care. The inevitable roles of academicians, researchers, private health sectors, policy makers, regulatory bodies, and partners are also discussed.

Background: Deep vein thrombosis and pulmonary embolism are known by the collective name venous thromboembolism. Deep vein thrombosis is the third most common cardiovascular disorder in the world. The disease is also prevalent in Africa including Ethiopia, besides lack of studies that show epidemiology of the disease. Objective: To assess cost effectiveness of rivaroxaban compared to warfarin-based therapy for deep vein thrombosis patients in Ethiopia. Methods: A Markov model was built to compare cost and effectiveness of rivaroxaban 15mg bid for three weeks and 20mg per day for the rest to adjusted dose of warfarin for one year using a restricted societal perspective. The population in this analysis was a hypothetical cohort of deep vein thrombosis patients 40 years old with no contraindication, comorbidity and concomitant therapy. The patients were followed yearly for 24 years up to their average life expectancy. Results: Rivaroxaban therapy resulted in higher quality adjusted life years with a value of 16.78, while warfarin-based treatment resulted in 16.34 quality adjusted life years. Total lifetime costs were $988.58 for rivaroxaban and $932.92 for unfractionated heparin/warfarin. Therefore, rivaroxaban resulted in a gain of 0.443 quality adjusted life years at an additional cost of $55.661. The incremental cost effectiveness ratios for rivaroxaban compared with warfarin was $125.683 per quality adjusted life year saved which is less than willingness to pay threshold of $783 per quality adjusted life year saved. Warfarin resulted in a net monetary benefit of $11,859.72, while that of rivaroxaban is $12,150.82, meaning rivaroxaban is cost-effective. Sensitivity analyses found that the model was sensitive to utility of no deep vein thrombosis, effectiveness of rivaroxaban and cost of rivaroxaban respectively. Conclusion: This study showed that rivaroxaban is a cost effective alternative and substituting rivaroxaban for warfarin is acceptable to willingness to pay threshold.

Background: Hypoglycemia occurs when the blood sugar levels are too low. In severe cases, hypoglycemia may give to seizures, coma, and sometimes death. The prevalence of hypoglycemia among patients with diabetes is likely underreported and undocumented. Methods: An institutional-based cross-sectional study was conducted among 336 study participants at the Tepi General Hospital in Southwest Ethiopia. A binary logistic regression model was used to determine the association between the prevalence of hypoglycemia and the factors associated with it. After a bivariate analysis, variables with a p value of < 0.25 were selected as a candidate for multivariable analysis. An odds ratio with a 95% CI was considered to indicate a significant association. Results: With 95% CI (52.48– 62.25) the prevalence of hypoglycemia was determined as 57.44%. Nearly 11% of the patients encounter severe hypoglycemia. Female patients had three times higher odds of experiencing hypoglycemia (aOR=3, 95% CI: 2.10, 6.39). Those with no formal education had 1.5 times higher odds of experiencing hypoglycemia (aOR = 1.5, 95% CI: 1.08, 5.45). Patients with type 1 diabetes were 3.4 times more likely to experience hypoglycemia (aOR = 3.4, 95% CI: 1.87, 7.50). Those who had been diagnosed before 10 years (aOR = 1.3, 95% CI: 1.02, 3.21) were more likely to have hypoglycemia. Furthermore, patients who consumed alcohol were 3.0 times more likely to have a history of hypoglycemia (aOR = 3.0, 95% CI: 2.03, 6.43). Conclusion: The magnitude of hypoglycemia among patients with diabetes is determined to be considerable with more than half of the participants encountered hypoglycemia. There is a strong relationship between the occurrence of hypoglycemia and sex, type of diabetes, time since diagnosis, alcohol status, and education status. Therefore, all concerned parties must pay close attention to lessen the prevalence of hypoglycemia and address the problems based on the primary contributing factors.