Background: Globally, surgical site infections are the most reported healthcare-associated infection and common surgical complication. In developing countries such as Ethiopia, there is a paucity of published reports on the microbiologic profile and resistance patterns of an isolates.Objective: This study aimed at assessing the bacterial profile and antimicrobial susceptibility patterns of isolates among patients diagnosed with surgical site infection at Jimma Medical Center in Ethiopia.Methods: A prospective cohort study was employed among adult patients who underwent either elective or emergency surgical procedures. All the eligible patients were followed for 30 days for the occurrence of surgical site infection (SSI). From those who developed SSI, infected wound specimens were collected and studied bacteriologically.Results: Of 251 study participants, 126 (50.2%) of them were females. The mean ± SD age of the patients was 38 ± 16.30 years. The overall postoperative surgical site infection rate was 21.1% and of these 71.7% (38/53) were culture positive. On gram stain analysis, 78% of them were Gram-negative, 11.5% were Gram-positive and 10.5% were a mixture of two microbial growths.Escherichia coliaccounted for (21.43%), followed byPseudomonas aeruginosa(19.05%),Proteus species(spp.) 14.29%),Staphylococcus aureus(11.90%),Klebsiella species(11.90%),Citrobacterspp. (9.5%),streptococcalspp. (7.14%),Coagulase-negative S. aureus(CoNS) (2.38%)Conclusion: Gram-negative bacteria were the most dominant isolates from surgical sites in the study area. Among the Gram-negative bacilli,Escherichia coliwere the most common bacteria causing surgical site infection. As there is high antibiotic resistance observed in the current study, it is necessary for routine microbial analysis of samples and their antibiogram.

Background: Globally, antimicrobial resistance (AMR) restricted the armamentarium of the health care providers against infectious diseases, mainly due to the emergence of multidrug resistant. This review is aimed at providing contemporary bacterial profile and antimicrobial resistance pattern among pregnant women with significant bacteriuria.Methods: Electronic biomedical databases and indexing services such as PubMed/MEDLINE, Web of Science, EMBASE and Google Scholar were searched. Original records of research articles, available online from 2008 to 2021, addressing the prevalence of significant bacteriuria and AMR pattern among pregnant women and written in English were identified and screened. The relevant data were extracted from included studies using a format prepared in Microsoft Excel and exported to STATA 14.0 software for the outcome measure analyses and subgrouping.Results: The data of 5894 urine samples from 20 included studies conducted in 8 regions of the country were pooled. The overall pooled estimate of bacteriuria was 15% (95% CI 13–17%,I² = 77.94%,p < 0.001) with substantial heterogeneity. The pooled estimate ofEscherichia colirecovered from isolates of 896 urine samples was 41% (95% CI 38–45%) followed by coagulase-negativeStaphylococci, 22% (95% CI 18–26%),Staphylococcus aureus, 15% (95% CI 12–18%),Staphylococcus saprophytic, 12% (95% CI 6–18%)Proteus mirabilis, 7% (95% CI 4–10%),Enterococcusspecies, 6% (0–12%),Pseudomonas aeruginosa, 4% (2–6%),Citrobacterspecies, 4% (95% CI 2–4%), Group B streptococcus, 3% (1–5%), andEnterobacterspecies, 2% (1–4%). Multidrug resistance proportions ofE. coli,Klebsiellaspecies,Staphylococcus aureusandCoagulase negative staphylococci, 83% (95% CI 76–91%), 78% (95% CI 66–90%), 89% (95% CI 83–96%), and 78% (95% CI 67–88%), respectively.Conclusion: The result of current review revealed the occurrence of substantial bacteriuria among pregnant women in Ethiopia. Resistance among common bacteria (E. coli,Klebsiellaspecies,Staphylococcispecies) causing UTIs in pregnant women is widespread to commonly used antibiotics. The high rate of drug resistance in turn warrants the need for regular epidemiological surveillance of antibiotic resistance and implementation of an efficient infection control and stewardship program.

Purpose: To assess traditional medicine practice claims by the community for the prevention and treatment of COVID-19. Methods: A community-based cross-sectional study design was conducted among 422 households of Jimma Zone, and the data were collected by interviewing individuals from the selected households. The medicinal plants were recorded on Microsoft excel 2010 with their parts used, dosage form, route of administration and source of plants and tabulated in the table. Descriptive statistics were used to describe and organize the data. The Relative Frequency of Citation (RFC) was calculated for each traditional medicine to identify the top 10 medicinal products. Results: Around 46% of participants used traditional medicines for the prevention and treatment of COVID-19. The study recorded 32 herbal and non-herbal medicinal products. Garlic (RFC: 0.166), ginger (RFC: 0.133), lemon (RFC: 0.133), garden cress (RFC: 0.069) and “Damakase” (RFC: 0.031) were the frequently used herbal medicines. Seeds (47.22%) and leaves (30.56%) were the most used parts of medicinal plants. Most preparation of medicinal plants (90.63%) was administered through the oral route. The majority of medicinal plants were from home gardens. Conclusions and Recommendations: Around half of the participants practiced traditional medicines for COVID-19. Garlic, ginger, lemon, garden cress and “Damakase” were the frequently used herbal products. Seeds and leaves were regularly used parts. The oral route is the most used route of administration. The majority of medicinal plants were from home gardens. This quantity of traditional medicine practice is probably challenging to control the pandemic. However, it might open possibilities for pharmaceutical industries and researchers to look into the effectiveness and safety of claimed medicinal products. Therefore, all responsible bodies are advocated to behave accordingly.

Purpose: Diabetes mellitus complications are responsible for increased disability, morbidity, and mortality. This study aimed to assess prevalence, patterns, and predictors of chronic complications of diabetes among people with diabetes. Patients and Methods: The study was conducted using a prospective observational study design which was done on people with diabetes attending the ambulatory clinic of Mettu Karl Referral Hospital. The data were collected using a consecutive type of sampling technique from April 15 to August 9, 2019. The data were entered into Epidata manager version 4.4.2. Logistic regression analysis was done to identify predictors of chronic complications of diabetes. Results: A total of 330 participants were included in this study. The mean age of participants was 49.9± 14.2, and 156 (47.3%) were 41 to 60 years old. About 127 (38.5%) had one or more chronic complications. The predictors of chronic diabetes complications were resident in urban areas [AOR: 1.94; 95% CI: (1.17, 3.20); p = 0.010], duration of diabetes <![CDATA[$ \ge $]]> 10 years [AOR: 2.05, 95% CI: (1.21, 3.47); p = 0.007], hypertension [AOR: 4.19; 95% CI: (2.54, 6.91); p < 0.001] and poor glycemic control [AOR: 2.82; 95% CI: (1.53, 5.21); p = 0.001]. Conclusion: Almost two-fifth of the study participants had chronic complications of diabetes. Residents in urban areas, longer duration of diabetes, hypertension and poor glycemic control were predictors of chronic diabetes complications. It is important to achieve good glycemic control and manage comorbid diseases like hypertension to minimize the risk of chronic diabetes complications.

Introduction The current estimate is that 463 million people worldwide have diabetes. In 2017, an estimated 5 million (9.9%) deaths worldwide among adults were caused by diabetes. The burden of disease associated with uncontrolled diabetes is substantial in terms of mortality and cardiovascular disease. The aim of this study was to assess glycemic control level and its predictors among adult patients with diabetes. Methods A prospective observational study was conducted among patients with diabetes during follow-up at an ambulatory clinic of Mettu Karl referral hospital from 15 April to 09 August 2019. The consecutive sampling method was used to collect data, following which the data were entered into Epidata manager version 4.4.2 and exported to the SPSS version 24.0 statistical software package for analysis. Logistic regression analysis was performed to identify predictors of poor glycemic control. Variables whose significance level was < 0.05 (p value) were considered to be predictors of poor glycemic control. Results A total of 330 diabetic patients were included in the study, among whom 240 (72.7%) had poor glycemic control. The predictors of poor glycemic control in the multivariate logistic regression analysis were overweight [adjusted odds ratio (AOR) 4.07; 95% confidence interval (CI) 1.60, 10.36; p = 0.003], obesity (AOR 4.39; 95% CI 1.59, 12.14; p = 0.004), higher estimated glomerular filtration rate (eGFR) (AOR 2.34; 95% CI 1.23, 4.44; p = 0.010), type 1 diabetes (AOR 3.22; 95% CI 1.58, 6.55; p = 0.001), poor diet adherence (AOR 6.95; 95% CI 3.63, 13.32; p < 0.001) and non-adherence to medications (AOR 5.82; 95% CI 2.77, 12.26; p < 0.001). Conclusion Almost three-quarters of the study population of diabetic patients had poorly controlled blood sugar. Overweight, obesity, higher eGFR, type 1 diabetics, poor adherence to diet recommendation and non-adherence to medications were independent predictors of poor glycemic control. Educational strategies should focus on improving adherence to the recommended diet and medication(s), achieving weight control and optimizing glycemic control.

Background: There is a lack of comprehensive national data on prevalence, geographical distribution of different species, and temporal trends in soil-helminthiasis (STHs). Therefore, this study aimed to provide a summary and location of the available data on STHs infection among preschool and school-age children in Ethiopia. Methods: The search was carried out in Medline via PubMed, Scopus, Science Direct, Web of Science, and Google Scholar on data published between 1997 to February 2020 for studies describing the rate of STHs infection among preschool and school-age in Ethiopian. We followed the Patient, Intervention, Comparison, and Outcome (PICO) approach to identify the studies. Meta-regression was performed to understand the trends and to summarize the prevalence using the “metaprop” command using STATA software version 14.0 Results: A total of 29,311 of the 61,690 children examined during the period under review were infected with one or more species of intestinal parasites yielding an overall prevalence of 48% (95% CI: 43–53%). The overall pooled estimate of STHs was 33% (95% CI: 28–38%). The prevalence was 44% (95% CI: 31–58%) in SNNPR, 34% (95% CI: 28–41%) in Amhara region, 31% (95% CI: 19–43%) in Oromia region and 10% (95% CI: 7–12%) in Tigray region. Soil-transmitted helminths infection rate has been decreasing from 44% (95% CI: 30–57%) pre-Mass Drug Administration (MDA) era (1997–2012) to 30% (95% CI: 25–34%) post-MDA (2013–2020), although statistically not significant ( p = 0.45). A lumbricoides was the predominant species with a prevalence of 17%. Conclusion: Southern Nations Nationalities and Peoples Region, Amhara, and Oromia regions carry the highest-burden and are categorized to Moderate Risk Zones (MRZ) and therefore, requiring MDA once annually with Albendazole or Mebendazole. The prevalence of STHs decreased after MDA compared to before MDA, but the decline was not statistically significant. A. lumbricoides was the predominant species of STHs among preschool and school-age children in Ethiopia. The high prevalence of STHs observed in this review, underscores the need for better control and prevention strategies in Ethiopia.