Mechanisms of Bacterial Drug Resistance with Special Emphasis on Phenotypic and Molecular Characterization of Extended Spectrum Beta-lactamase.

Antibiotics are designed to effectively treat bacterial infections while minimizing harm to the human body. They work by targeting specific components of bacteria or by disrupting essential processes such as cell wall synthesis, membrane function, protein production, and metabolic pathways. However, the misuse and overuse of antibiotics have led to the emergence of drug resistance in humans, animals, and agriculture, contributing to the global spread of this problem. Drug resistance can be either innate or acquired, with acquired resistance involving changes in the bacterial chromosomes or transferable elements. Bacterial species employ various mechanisms of drug resistance, including modifying the antibiotic targets, inactivating the drug, reducing uptake or increasing efflux, overexpressing the target, utilizing alternative pathways, and forming biofilms. One significant concern in the realm of drug resistance revolves around the emergence and proliferation of extended-spectrum beta-lactamases (ESBLs), a gene that is found in most gram-negative bacteria, primarily carried by Escherichia coli and Klebsiella pneumoniae in healthcare settings. ESBL-mediated resistance poses challenges for diagnosis, treatment, infection control, and antibiotic stewardship. Accurate detection of ESBL genes is crucial, and phenotypic methods are commonly used for initial screening. However, these methods have limitations, and confirmatory molecular techniques such as PCR and DNA sequencing are employed to accurately identify ESBL genes. Despite the significant global concerns surrounding ESBLs, they have spread worldwide, mainly facilitated by healthcare settings, inappropriate antimicrobial use, and host susceptibility. Addressing this issue requires implementing comprehensive measures, including enhanced surveillance, strict infection control practices, antibiotic stewardship programs, rapid diagnostic methods, alternative therapies, public education initiatives, and research focused on developing new drugs. Furthermore, collaboration among the healthcare, public health, and research sectors is pivotal in effectively combating the escalating threat posed by ESBL-mediated resistance. Antibiotics have revolutionized medical care by effectively treating bacterial infections. However, the emergence of ESBL gene resistance poses a global challenge that requires an integrated approach to prevent a threatening future.

Hierarchical Predictors of Mortality in Neonatal Sepsis at Jimma Medical Center, Ethiopia: A Case-Control Study.

Background: Neonatal sepsis made the neonatal period the most perilous time for child survival, and it continued to cause preventable mortalities worldwide. These mortalities stem from the interaction of several factors that have not been sufficiently studied and, in some cases, remain overlooked. Thus, the study aims to investigate the predictors of mortality that arise from the interaction of these factors and quantitatively determine their etiologic fraction. Methods: A case-control study with hierarchical data input was conducted at Jimma Medical Center (JMC) in Oromia, Ethiopia, spanning from May 2022 to July 2023. It employed logistic regression to calculate adjusted odds ratios (AORs) and their corresponding 95% confidence intervals (CI) at a significance level of p ≤ 0.05. The model adjusted odds ratios (ORs) for variables within each level and farther levels and presented an etiologic fraction (EF), indicating the proportion of neonatal mortality attributable to specific factors. Results: The analysis of 67 cases and 268 controls unveiled significant predictors of mortality in sepsis that emerged from distal, intermediate, and proximal levels. In the final model, thus, rural residence [AOR 3.1; 95% CI (1.5, 6.3), p ≤ 0.01], prolonged labor [AOR 4.5; 95% CI (2.2, 9.3), p ≤ 0.01], prematurity [AOR 3.9; 95% CI (1.9, 7.9), P ≤ 0.0], gram-negative bacteremia [AOR 3.8; 95% CI (1.9, 7.6); P ≤ 0.01], convulsion [AOR 3.2; 95% CI (1.6, 6.4); P ≤ 0.03], low birth weight [AOR 2.7; 95% CI (1.3, 5.4); P≤0.01], and delayed breastfeeding [AOR 2.5; 95% CI (1.2, 4.9); P ≤ 0.01] attributed a variable percentage of mortality. Conclusion: Factors emerging and interacting at distal (residence), intermediate (prolonged labor), and proximal (prematurity, birth weight, convulsion, bacterial etiology, and feeding) levels influence neonatal mortality in sepsis at JMC. Therefore, concurrently improving rural family characteristics, managing labor duration, strengthening diagnostic stewardship, and promoting essential newborn care can actively prevent and reduce these mortalities.

Epidemiologic features of neonatal sepsis and its COVID-19 associated temporal patterns in Jimma Medical Center, Ethiopia: A Joinpoint regression analysis.

BACKGROUND: Neonatal sepsis remains a leading cause of morbidity and mortality in neonates across all regions, including Africa. Compared to developed and some developing countries, there are relatively few epidemiological trends for neonatal sepsis and associated patterns with COVID-19 in Ethiopia. We modeled an epidemiological trend and pattern to aid in the monitoring of changes in neonatal sepsis. METHODS: Retrospective data were collected from all admissions to the Neonatal Intensive Care Unit (NICU) in Ethiopia at Jimma Medical Center between May 2019 and April 2022. We analyzed the monthly neonatal sepsis incidence, mortality, and case-fatality rates using STATA software. Finally, we modeled a monthly time series of neonatal sepsis incidence trends and patterns associated with the COVID-19-impacted period using Joinpoint software. For all analyses, a P value of 0.05 was considered statistically significant at the 95% confidence interval (CI). RESULTS: In the 36 months, 6796 cases were admitted to the NICU, with a 9.5% (95% CI: 9.1, 10.0) incidence rate of neonatal sepsis. The overall admission mortality rate was 16.5% (95% CI: 13.6, 19.8), while sepsis-attributed mortality was 7.1% (95% CI: 5.8, 8.5). The data showed an unstable decreasing trend for three Joinpoints (August 2020, December 2020, and August 2021). Notably, a decrease in the incidence trend was observed from May 2019 to August 2020 (MPC, -4.1; 95% CI: -7.6, -0.5; P = 0.03), followed by a sharp increase (MPC, 23.7; 95% CI: -13.8, 77.7; P = 0.24) from August 2020 to December 2020. From December 2020 to August 2021, there was again a decreasing trend (MPC, -13.8; 95% CI: -23.3, -3.5; P = 0.01), followed by a slight increase from August 2021 to April 2022 (MPC, 4.2; 95% CI: -8.4, 18.6; P = 0.52). Finally, the study revealed an association between patterns of neonatal sepsis incidence trends and COVID-19, with a Joinpoint jump model comparability ratio (CR = 0.43) between pre- and COVID-19-impacted periods. CONCLUSIONS: Neonatal sepsis was prevalent at Jimma Medical Center, but it was on an unstably declining trend. The current results suggest a potential temporal association between the intensity of COVID-19 containment measures and a change in the incidence trend and patterns of neonatal sepsis. However, the quantified contribution of a particular containment measure requires further investigation.

Diabetes mellitus self-management education at Jimma University Medical Center: evidence-based implementation project.

BACKGROUND: Low and middle-income countries are currently enduring the heaviest global burden of diabetes and diabetes-related mortalities. Diabetes self-management education (DSME) improves patient clinical outcomes, health status, and quality of life. Lack of awareness about best practice guidelines and recommendations may be associated with increased risk of diabetes morbidity and mortality. OBJECTIVES: The objective of this study was to improve knowledge and skill of healthcare providers and patients with diabetes by enhancing evidence-based practice through self-management education to increase compliance with best practice recommendations. METHODS: JBI's three-phase Practical Application of Clinical Evidence System and Getting Research into Practice audit criteria of diabetes of audit management criteria were used. To understand barriers, 12 audit criteria, patient's medical record handling and educational plan according to set standards were evaluated. To mitigate the barriers, strategies of training and supportive supervision on evidence-based DSME were implemented from 20 April 2018 to 7 June 2018. Sixteen health professionals and 80 patients with diabetes participated in the study conducted in Jimma University Medical Center. Both a baseline and follow-up audit was conducted using the JBI feedback tool. RESULT: The baseline audit results indicate that 3 of the 12 audit criteria recorded zero percent compliance, whereas other compliances were below 40%, representing poor compliance with the current evidence. The post implementation audit reported 100% compliance for criteria on availability of structured education plan, existence of appropriate training for staff, the presence of education regarding nutrition and medications, while for the remaining criteria on competency of staff members for delivering DSME, assessment of prior diabetes knowledge, status of documentation after each session, and the presence of appropriate referrals or booking the compliance rate was improved to 88%. Similarly, criteria on the presence of individualized education plan improved (0-75%), encountering knowledge regarding physical activity (6-75%), self-monitoring of blood glucose (4-60%), and prevention diabetes complications (10-90%). CONCLUSION: There were remarkable changes in both patients and care providers on comparison of pre-intervention and post-intervention, particularly in availability of materials, involvement of staff in self-management education, nutrition, and medication.

Prevalence and Predictors of Contraceptive Use Among Women of Premenopausal Period in Ethiopia: A Retrospective Cross-Sectional Data Analysis.

BACKGROUND: Contraceptive use is internationally endorsed as a human right and an indicator of the highest standard of sexual and reproductive health life. But reports from countries including Ethiopia showed a lower and capricious rate due to wider factors. Thus, the current study aimed to determine the prevalence and the predictors of contraceptive use among women of the premenopausal period. METHODS: A retrospective cross-sectional data analysis was performed from Ethiopian Demographic and Health survey 2019 in January 2021. A total of 3260 premenopausal women were included by stratified sampling, and data were analyzed using SPSS version 25 software. Data were initially analyzed descriptively, and tests were done for variable multicollinearity, and model goodness of fit and predictive capacity. Subsequently, bivariate and multivariable logistic regression analyses were performed successively for the crude and adjusted odds ratio, and finally declared variables with a p-value of <0.05 as predictors of contraceptive use. RESULTS: The study included 3260 women with an average age of 41.66 (standard deviation ±3.9) years. The overall prevalence of contraceptive use was reported 17% and explained to vary by women's age, place of residence, education level, wealth index, and current working statuses. However, only the age, education, and wealth index of women have predicted a statistical significance with contraceptive use. Accordingly, an increase in women's age was found to increase contraceptive use more likely by 89% [AOR=0.89 (95% CI: 0.87, 0.92)]. Similarly, primary [AOR = 1.53, (95% CI: 1.20, 195)], secondary [AOR = 2.57, (95% CI: 1.70)] or higher [AOR = 2.64, (95% CI: 1.67, 4.20)] level educated women were about twice more likely to use contraceptive methods than uneducated women. Finally, women in poorer [AOR = 3.11 (95% CI: 2.17, 4.46)], middle [AOR = 3.03 (95% CI: 2.09, 4, 37)], rich [AOR = 3.70, (95% CI: 2.58, 5.31)] or richest [AOR = 3.42, (95% CI: 2.39, 4, 88)] wealth index were more than 3 times more likely use contraceptive methods when compared to women of the poorest wealth index. CONCLUSION: The prevalence of contraceptive use among premenopausal women in Ethiopia is low and utmost related to age, education level, and wealth index of women.

Prevalence and Associated Factors of Sleep Quality among Adults in Jimma Town, Southwest Ethiopia: A Community-Based Cross-Sectional Study.

BACKGROUND: An estimated 150 million people worldwide and nearly 17% of the populations in the developing nations are currently suffering from sleep problems. The aim of the present study was to determine the prevalence and associated factors of sleep quality among adults in Ethiopia. METHOD: A cross-sectional study was conducted on 422 randomly selected adults using validated and pretested Pittsburgh Sleep Quality Index. Data were entered into EpiData and analyzed using SPSS version 20 considering bivariable (P value < 0.25) and multivariable (P < 0.05) logistic regression procedures at 95% confidence interval. RESULT: The overall prevalence of poor sleep quality (PSQI score > 5) was 65.4% with higher proportion among males (79 (63.0%)) and age group of 40-49 years (174 (28.6%)). A multivariable logistic regression analysis indicated that age category of 40-49 years (AOR = 2 [95% CI (1.1, 3.6)]) (P = 0.03), monthly income ≤ 1000 ETB (AOR = 2.2 [95% CI (14, 3.5)]) (P = 0.01), current khat chewing (AOR = 1.8 [95% CI (1.1, 3.1)]) (P = 0.03), daily khat chewing (AOR = 3.4 [95% CI (1.2, 11.1)]) (P = 0.04), and obesity (AOR = 1.2 [95% CI (1.3, 2.5)]) (P = 0.03) were identified as risk factors of poor sleep quality. CONCLUSION: The current study is informative for government to work on poverty reduction, create awareness for weight reduction, and develop legislation for khat control to prevent poor sleep quality.