Trends in antibiotic selection pressure generated in primary care and their association with sentinel antimicrobial resistance patterns in Europe

Change in Diagnosis of Helicobacter pylori Infection in the Treatment-Failure Era

Helicobacter pylori (H. pylori) infection is a prevalent global health issue, associated with several gastrointestinal disorders, including gastritis, peptic ulcers, and gastric cancer. The landscape of H. pylori treatment has evolved over the years, with increasing challenges due to antibiotic resistance and treatment failure. Traditional diagnostic methods, such as the urea breath test, stool antigen test, and endoscopy with biopsy, are commonly used in clinical practice. However, the emergence of antibiotic-resistant strains has led to a decline in treatment efficacy, necessitating a re-evaluation of common diagnostic tools. This narrative review aims to explore the possible changes in the diagnostic approach of H. pylori infection in the era of treatment failure. Molecular techniques, including polymerase chain reaction and whole genome sequencing, which have high sensitivity and specificity, allow the detection of genes associated with antibiotic resistance. On the other hand, culture isolation and a phenotypic antibiogram could be used in the diagnostic routine, although H. pylori is a fastidious bacterium. However, new molecular approaches are promising tools for detecting the pathogen and its resistance genes. In this regard, more real-life studies are needed to reveal new diagnostic tools suitable for identifying multidrug-resistant H. pylori strains and for outlining proper treatment.

Assessment of drug utilization pattern of antimicrobial agents in hospitalized patients with Infectious Diseases: A cross-sectional study in the United Arab Emirates

Efficacious use of antimicrobial agents (AMAs) is paramount to combat a wide range of infections, ensure patient safety, and reduce antimicrobial resistance. To assess the drug utilization patterns of AMAs in hospitalized patients with infectious diseases in a secondary care hospital. A prospective observational study was conducted for 6 months in the internal medicine department. Data were collected, antimicrobial prescription patterns were screened, and drug utilization was assessed using the anatomical therapeutic chemical/defined daily dose methodology. Furthermore, predictors of the prescription of multiple AMAs were also analyzed. A total of 146 patient case records were reviewed and 285 AMAs were prescribed during the study period with a mean patient age of 54.2 ± 24.4 years. The average number of antimicrobials administered per patient was 1.94 ± 0.94. Respiratory tract infection and urinary tract infection were the common indications, and penicillins were the most prescribed class of AMAs. Multivariate analysis showed that the presence of comorbidities (P < 0.05) and longer hospital stays (P < 0.0001) increased the likelihood of prescribing multiple AMAs. The study provides insight into the pattern of prescribing of AMAs which help to improve the quality of care. Prescribing AMAs by generics and from the hospital formulary list according to the recommendations of the World Health Organization is a good sign of clinical practice. The study signifies the need to continuously monitor AMAs to optimize drug therapy and enhance the quality of drug use in clinical practice.

Insights from a Cross-Sectional Study on Knowledge, Attitudes and Behaviors Concerning Antibiotic Use in a Large Metropolitan Area: Implications for Public Health and Policy Interventions

The overuse and inappropriate use of antibiotics pose a grave threat to public health, contributing significantly to the accelerated development of antimicrobial resistance (AMR) and increased rates of morbidity and mortality, making it a leading cause of death globally. To examine the relationship between demographic variables and knowledge, attitudes, and behaviors concerning antibiotic use, a survey-based cross-sectional study was conducted involving 1158 individuals. The questionnaire included two sections: in the first section, participants' socio-demographic characteristics were analyzed; the second investigated knowledge, attitudes, and behaviors concerning antibiotics utilization using a total of 36 questions. Descriptive statistics were used, and then a multiple linear regression analysis (MLRA) using three models was carried out. In Model I, knowledge about antibiotics exhibited correlations with smoking habits and educational attainment. In Model II, attitudes were significantly associated with gender, smoking habits, age, education, relationship status, and knowledge. In Model III, behaviors related to antibiotics were correlated with educational attainment, having children, knowledge, and attitudes. Implementing tailored public health programs could be a cost-effective intervention to enhance behaviors associated with antibiotic use in the general population. This study offers valuable insights into the determinants of knowledge, attitudes, and behaviors regarding antibiotics in the general population.