Objective: No previous analyses have attempted to determine optimal therapy for upper respiratory tract infections on the basis of cost-minimization models and the prevalence of antimicrobial resistance among respiratory pathogens in Slovakia. This investigation compares macrolides and cephalosporines for empirical therapy and look at this new tool from the aspect of potential antibiotic policy decision-making process.
Methods: We employed a decision tree model to determine the threshold level of macrolides and cephalosporines resistance among community respiratory pathogens that would make cephalosporines or macrolides cost-minimising. To obtain information on clinical outcomes and cost of URTIs, a systematic review of the literature was performed. The cost-minimization model of upper respiratory tract infections (URTIs) treatment was derived from the review of literature and published models.
Results: We found that the mean cost of empirical treatment with macrolides for an URTIs was €93.27 when the percentage of resistant Streptococcus pneumoniae in the community was 0%; at 5%, the mean cost was €96.45; at 10%, €99.63; at 20%, €105.99, and at 30%, €112.36. Our model demonstrated that when the percentage of macrolide resistant Streptococcus pneumoniae exceeds 13.8%, use of empirical cephalosporines rather than macrolides minimizes the treatment cost of URTIs.
Conclusions: Empirical macrolide therapy is less expensive than cephalosporines therapy for URTIs unless macrolide resistance exceeds 13.8% in the community. Results have important antibiotic policy implications, since presented model can be use as an additional decision-making tool for new guidelines and reimbursement processes by local authorities in the era of continual increase in antibiotic resistance.
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Epidemiol Infect
January 2025
Pan American Health Organization, Washington, DC, USA.
Surveillance of antimicrobial consumption (AMC) is essential to anticipate and inform policies and public health decisions to prevent and/or contain antimicrobial resistance (AMR). This manuscript shares the experience on AMC data collection in Latin American & Caribbean (LAC). The WHO GLASS-AMC methodology for AMC surveillance was used for data registration during the period 2019-2022.
View Article and Find Full Text PDFBackground: Accurate estimates of incremental cost (IC) attributable to antimicrobial resistance (AMR) provide information of immense public health importance to the policy makers. Here, we present the IC from patient perspective for treating antimicrobial-resistant pathogens in India.
Methods: This cohort study was conducted in eight hospitals including government (GH), private (PH) and trust hospitals (TH), considering their ownership, geographical location and categories of cities.
BMJ Open
December 2024
Department of Microbiology and Mycology, National Institute of Preventive and Social Medicine, Dhaka, Bangladesh.
Background: Antimicrobial resistance (AMR) is a global health and development concern. Antimicrobial misuse and overuse are key contributors to the emergence of drug-resistant infections.
Objective: The current study aimed to determine the level of perception and practices of physicians regarding AMR in a tertiary-level hospital.
PLoS Med
January 2025
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Background: Globally, over one-third of pulmonary tuberculosis (TB) disease diagnoses are made based on clinical criteria after a negative bacteriological test result. There is limited information on the factors that determine clinicians' decisions to initiate TB treatment when initial bacteriological test results are negative.
Methods And Findings: We performed a systematic review and individual patient data meta-analysis using studies conducted between January 2010 and December 2022 (PROSPERO: CRD42022287613).
Cureus
December 2024
Trauma and Orthopaedics, University Hospitals Sussex National Health Service (NHS) Foundation Trust, Sussex, GBR.
Background: The aim of the study is to identify the potential risk factors for postoperative AKI in hip fracture patients.
Design And Methods: Using our local neck of femur (NOF) registration data, patient details were selected using inclusion and exclusion criteria. Electronic records of patients were assessed retrospectively, including blood results, radiological investigations, clinical documentation, and drug charts.
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