Patterns and determinants of prescribed drug use among pregnant women in Adigrat general hospital, northern Ethiopia: a cross-sectional study.

BACKGROUND: A vigilant prescription of drugs during pregnancy can potentially safeguard the growing fetus from the deleterious effect of the drug while attempting to manage the mother's health problems. There is a paucity of information about the drug utilization pattern in the area of investigation. Hence, this study was implemented to investigate the pattern of drug utilization and its associated factors among pregnant women in Adigrat general hospital, Northern Ethiopia. METHODS: An institution-based cross-sectional study was conducted among randomly selected 314 pregnant women who attended obstetrics-gynecology and antenatal care units of the hospital. Relevant data were retrieved from the pregnant women's medical records and registration logbook. The drugs prescribed were categorized based on the United States Food and Drug Administration (US-FDA) fetal harm classification system. Data analysis was done using SPSS version 20 statistical software. Multivariate logistic regression was employed to analyze the association of the explanatory variables with the medication use, and p < 0.05 was declared statistically significant. RESULTS: The overall prescribed drug use in this study was found to be 87.7%. A considerable percentage of the study participants (41.4%) were prescribed with supplemental drugs (iron folate being the most prescribed drug) followed by antibiotics (23.4%) and analgesics (9.2%). According to the US-FDA drug's risk classification, 42.5, 37, 13, and 7% of the drugs prescribed were from categories A, B, C, and D or X respectively. Prescribed drug use was more likely among pregnant women who completed primary [AOR = 5.34, 95% CI (1.53-18.6)] and secondary education [AOR = 4.1, 95% CI (1.16-14)], who had a history of chronic illness [AOR = 7.9, 95% CI (3.14-19.94)] and among multigravida women [AOR = 2.9, 95% CI (1.57 5.45)]. CONCLUSIONS: The finding of this study revealed that a substantial proportion of pregnant women received drugs with potential harm to the mother and fetus. Reasonably, notifying health practitioners to rely on up-to-date treatment guidelines strictly is highly demanded. Moreover, counseling and educating pregnant women on the safe and appropriate use of medications during pregnancy are crucial to mitigate the burden that the mother and the growing fetus could face.

Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study.

BACKGROUND: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. METHODS: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. RESULTS: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. CONCLUSIONS: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.

Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017.

BACKGROUND: Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. METHODS: We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). FINDINGS: In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). INTERPRETATION: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.

Patients' satisfaction with post-operative pain management in Ayder Comprehensive Specialized Hospital, Ethiopia: a cross-sectional study.

Introduction: surgical patients often suffer from inadequate treatment of post-operative pain which potentially results in numerous adverse medical consequences and is a recurring source of patients' dissatisfaction. Thus, this study aimed to investigate patient's satisfaction with their post-operative pain management and its determinants among surgically treated patients in a specialized hospital within Ethiopia. Methods: an institutional-based prospective cross-sectional study was conducted in the surgical ward of Ayder Comprehensive Specialized Hospital. Data were collected using a semi-structured questionnaire, which was an adoption of the 2010 version of the American Pain Society Patient Outcome Questionnaire, and by reviewing the medical charts of the patients. A stepwise linear regression model was used to analyze the data. Results: among the 144 patients approached in this study, 112 (77.8%) of them categorized their postoperative pain as moderate to severe. The mean patient satisfaction with their pain management was 7±2.3 on 0-10 numerical rating scale. Despite high levels of pain, the majority of patients (90.3%, n=131) were moderately or completely satisfied with their pain management. Stepwise linear regression analysis found that the determinants of patients' satisfaction were prior chronic pain, prior surgical history, and substance use (F (3,140) = 5.364, adjusted R2= 0.084, P=0.02). Conclusion: the patients were moderately and completely satisfied with their pain management in spite of expressing moderate and severe level of pain intensity. Pain still remains a concern among surgical patients, and effective pain management strategies should be practiced to manage pain and its functional interferences more effectively.

Magnitude and predictors of first-line antiretroviral therapy regimen change among HIV infected adults: A retrospective cross sectional study.

Background: Regimen change remains a significant challenge towards the achievement of human immunodeficiency virus (HIV) treatment success. In developing countries where limited treatment options are available, strategies are required to ensure the sustainability and durability of the starting regimens. Nevertheless, information regarding the rate and predictors of regimen change is limited in these settings. Objective: This study was undertaken to determine the prevalence and predictors of changes in ART regimens among patients initiating highly active antiretroviral therapy (HAART) at XX. Materials and methods: An institutional based retrospective cross-sectional study was conducted among adult naïve HIV patients who had initiated HAART at XX between 2010. Data were extracted by reviewing their medical charts using a pretested structured check-list. The Kaplan-Meier survival analyses were used to describe the probability of ARV regimen changes while Cox proportional hazard regression models were employed to identify the predictors of ARV regimen modifications. Data were analyzed using SPSS version 21 software, and statistical significant was deemed at p < 0.05. Results: A total of 770 patients were enrolled in this study of these 165 (21.43%) had their ART regimen modified at least once. Drug toxicity was the main reason for regimen change followed by TB comorbidity, and treatment failure. Positive baseline TB symptoms (aHR = 1.63, p = 0.037), and Zidovudine based regimen (aHR = 1.76, p = 0.011) as compared to Stavudine based regimen were at higher risk of ART modification. Conversely, urban residence, baseline World Health organization (WHO) stage 2 as compared to WHO stage 1, baseline CD4 count ≥301 as compared to CD4 count ≤200 were at lower risk of ART modification. Conclusion: The rate of initial HAART regimen change was found to be high. Thus, less toxic and better tolerated HIV treatment options should be available and used more frequently. Moreover, early detection and initiation of ART by the government is highly demanded to maximize the benefit and reduce risk of ART modifications.

Antidiabetic Activity of Extracts of Terminalia brownii Fresen. Stem Bark in Mice.

BACKGROUND: Diabetes mellitus is a chronic metabolic disorder that imposes a huge health and economic burden on societies. Because the currently available medications have many drawbacks, it is important to search for alternative therapies. Medicinal plants used in traditional medicines are ideal candidates. Hence, this study was undertaken to investigate the antidiabetic activity of crude extract and solvent fractions from the stem bark of Terminalia brownii Fresen. (Combretaceae) in mice. MATERIALS AND METHODS: The in vitro α-amylase inhibition assay was performed using the chromogenic 3, 5-dinitrosalicylic acid (DNSA) method while the antihyperglycemic activity was assessed using three mouse models: streptozotocin-induced diabetic mice, normoglycemic mice, and oral glucose challenged mice. Experimental diabetes was induced by a single intraperitoneal injection of streptozotocin at a dose of 150 mg/kg and animals with fasting blood glucose level (BGL) >200 mg/dL were considered diabetic. Glibenclamide (5 mg/kg) was used as a standard drug. Fasting BGL and body weight were used to assess the antidiabetic activity. The result was analyzed using GraphPad Prism software version 8 and one-way ANOVA followed by Tukey's post hoc test with p<0.05 considered as statistically significant. RESULTS: The crude extract of T. brownii at all tested dose levels (250, 500 and 750 mg/kg) showed a significant BGL reduction in all the three animal models. Moreover, the ethyl acetate and aqueous fractions (at 500 mg/kg) significantly (p<0.01) reduced the BGL in the streptozotocin induced diabetic model. The crude extract and different solvent fractions also showed a dose-dependent in vitro α-amylase inhibitory activity and improvement of body weight. CONCLUSION: T. brownii crude extract and its solvent fractions showed a significant antihyperglycemic activity in STZ induced diabetic mice, hypoglycemic activity and improvement of oral glucose tolerance in normal mice.

Medication Non-Adherence and Associated Factors Among Diabetic Patients Visiting General Hospitals in the Eastern Zone of Tigrai, Northern Ethiopia.

INTRODUCTION: Medication non-adherence is a major public health problem among diabetes mellitus patients. However, there is a lack of data regarding its magnitude and the factors contributing to Ethiopia's non-adherence, especially in the Tigrai region. This study was conducted to assess the magnitude of non-adherence and its contributing factors among diabetes mellitus patients in the Eastern Zone of Tigrai, Northern Ethiopia. MATERIALS AND METHODS: A hospital-based cross-sectional study was conducted at Adigrat and Wukro General Hospitals using a pre-tested, self-administered, semi-structured questionnaire developed from the relevant literature and a checklist developed to review patient medical cards for the period of the 15th of March to the 15th of July, 2019. Data were analyzed using Statistical Package for Social Sciences version 20. Association between the dependent and the independent variable was performed using logistic regression and a p-value of <0.05 was considered significant. RESULTS: From a total of 321 study participants, 63.9% of the patients were non-adherent to their medications. Two-month dose issued on each visit (AOR = 2.865, 95% CI 1.380-5.949), dose issued for more than three months (AOR = 4.314, 95% CI 1.526-12.195), monthly income below 500 birr (AOR = 5.048, 95% CI 2.094-12.168), monthly income between 500 and 2000 birr (AOR = 2.593, 95% CI 1.032-6.517), distance greater than 24 kilometers from hospital to home (AOR = 10.091, 95% CI 3.509-29.020), more than four prescribed medications per visit (AOR=7.192, 95% CI= 2.171-23.824), never receiving counseling (AOR=22.334, 95% CI= 9.270-53.810), and diabetes-related admission (AOR=0.248, 95% CI= 0.078-0.789) were significantly associated with patients' non-adherence to diabetes mellitus medications. CONCLUSION: The level of diabetic medication adherence was suboptimal, and our study highlights that better monthly earning, nearby health-care accessibility, fewer prescribed medication, and getting appropriate counseling about diabetes mellitus were predictive of adherence to medications. Hence, an urgent intervention targeting the development of guidelines that involve these determinates should be employed to improve health care.

Galanin Receptors as Drug Target for Novel Antidepressants: Review.

Galanin (GAL) is a 29-amino-acid neuropeptide that serves multiple physiological functions throughout the central and peripheral nervous system. Its role involves in a range of physiological and pathological functions including control of food intake, neuro-protection, neuronal regeneration, energy expenditure, reproduction, water balance, mood, nociception and various neuroendocrine functions. The use of currently available antidepressant drugs raises concerns regarding efficacy and onset of action; therefore, the need for antidepressants with novel mechanisms is increasing. Presently, various studies revealed the link between GAL and depression. Attenuation of depressive symptoms is achieved through inhibition of GalR1 and GalR3 and activation of GalR2. However, lack of receptor selectivity of ligands has limited the complete elucidation of effects of different receptors in depression-like behavior. Studies have suggested that GAL enhances the action of selective serotonin reuptake inhibitors (SSRIs) and promotes availability of transcription proteins. This review addresses the role of GAL, GAL receptors (GALRs) ligands including selective peptides, and the mechanism of ligand receptor interaction in attenuating depressive symptoms.

Glycopeptides as Potential Interventions for COVID-19.

Coronavirus disease 2019 (COVID-19), an infectious disease that primarily attacks the human pulmonary system, is caused by a viral strain called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak emerged from Wuhan, China, and later spread throughout the world. Until the first week of May 2020, over 3.7 million cases had been reported worldwide and more than 258,000 had died due to the disease. So far, off label use of various drugs has been tried in many clinical settings, however, at present, there is no vaccine or antiviral treatment for human and animal coronaviruses. Therefore, repurposing of the available drugs may be promising to control emerging infections of SARS-COV2; however, new interventions are likely to require months to years to develop. Glycopeptides, which are active against gram-positive bacteria, have demonstrated significant activity against viral infections including SARS-COV and MERS-COV and have a high resemblance of sequence homology with SARS-COV2. Recent in vitro studies have also shown promising activities of aglycon derivative of glycopeptides and teicoplanin against SARS-COV2. Hydrophobic aglycon derivatives and teicoplanin, with minimal toxicity to human cell lines, inhibit entry and replication of SARS-COV2. These drugs block proteolysis of polyprotein a/b with replicase and transcription domains. Teicoplanin use was associated with complete viral clearance in a cohort of patients with severe COVID-19 symptoms. This review attempts to describe the activity, elucidate the possible mechanisms and potential clinical applications of existing glycopeptides against corona viruses, specifically SARS-COV2.