Mastitis in dairy cows is responsible for major economic losses on dairy farms worldwide as the most expensive and prevalent disease in dairy cattle. In spite of the fact that antibiotic therapy still remains the main treatment strategy for bovine mastitis, concerns about the shortcomings of this treatment approach are continuously raised. Hence, research on alternative treatments with increased effectiveness and reduced costs is needed. Therefore, we conducted a pharmacoeconomic analysis of conventional antibiotic vs. a proposed Phyto-Bomat treatment based on essential oils in bovine mastitis therapy. Treatments were compared from the farmer's perspective in the domain of costs (expressed in total, direct and indirect, cost differences) and effectiveness (expressed in daily milk yield differences). Economic calculations were based on data from a dairy farm in Serbia. The average cost of conventional antibiotic treatment was estimated at EUR 80.32 consisting of therapy costs, veterinary services and milk rejection costs at EUR 16.54, EUR 17.68 and EUR 46.10, respectively. The average cost of Phyto-Bomat treatment was estimated at EUR 76.34 with therapy costs of EUR 34.34, veterinary costs of EUR 32.00 and rejection of milk costs of only EUR 10.00. Therefore, Phyto-Bomat results in cost savings approximating EUR 4 per each mastitis episode with the highest cost reductions obtained in milk rejection costs. This estimation of Phyto-Bomat's economic benefits could be used as a starting point for the inclusion of this formulation as an alternative treatment approach with a focus on subclinical mastitis since it contributes to most of the financial losses.
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http://dx.doi.org/10.3390/antibiotics12010011 | DOI Listing |
Eur Arch Otorhinolaryngol
December 2024
Department of Otorhinolaryngology, Head and Neck Surgery, Tampere University Hospital, PO Box 272, FI-33101, Tampere, Finland.
Purpose: To evaluate and compare hospital related costs, postoperative costs, and the long-term costs of maxillary balloon sinuplasty (BSP) and middle meatal antrostomy (MMA) in patients with chronic rhinosinusitis.
Methods: Data were collected from patient registers on 88 patients treated with BSP and 240 patients treated with MMA between 2011 and 2017. Information was also gathered on the related costs of surgery, material, postoperative ward care, and any extra patient visits that took place within one year following the operation.
Eur J Med Chem
December 2024
Department of Pharmaceutical Chemistry, Delhi Institute of Pharmaceutical Sciences and Research (DIPSAR), DPSRU, Pushp Vihar, New Delhi, 110017, India. Electronic address:
Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery by overcoming traditional challenges like high costs, time-consuming, and frequent failures. AI-driven approaches streamline key phases, including target identification, lead optimization, de novo drug design, and drug repurposing. Frameworks such as deep neural networks (DNNs), convolutional neural networks (CNNs), and deep reinforcement learning (DRL) models have shown promise in identifying drug targets, optimizing delivery systems, and accelerating drug repurposing.
View Article and Find Full Text PDFLancet Reg Health Eur
February 2025
Intensive Care Unit, Leiden University Medical Centre, Leiden, the Netherlands.
Background: Postoperative infections significantly impact patient outcomes and costs, exacerbated by late diagnoses, yet early reliable predictors are scarce. Existing artificial intelligence (AI) models for postoperative infection prediction often lack external validation or perform poorly in local settings when validated. We aimed to develop locally valid models as part of the PERISCOPE AI system to enable early detection, safer discharge, and more timely treatment of patients.
View Article and Find Full Text PDFEur J Health Econ
December 2024
Faculty of Economics and Business, Department of Economics, Universidade da Coruña, Campus de Elviña, 15008, A Coruña, Spain.
Antimicrobial resistance (AMR) represents a major threat to medical practice, complicating infection management, and increasing mortality and healthcare costs. Macro estimations of this health issue remain underexplored because data are currently limited to hospital systems. This study aims to estimate the economic and human burden of AMR in Spain at a macro level.
View Article and Find Full Text PDFEur J Orthop Surg Traumatol
December 2024
Department of Orthopaedics and Traumatology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Türkiye.
Objective: This study aims to evaluate the impact of the pathogen's sensitivity to the loaded antibiotics on infection resolution, the number of revisions, and the associated costs in patients undergoing revision total knee arthroplasty (rTKA) due to PJI.
Material And Methods: We reviewed the treatment and follow-up processes of 61 patients who underwent rTKA for late-stage PJI following primary total knee arthroplasty in our clinic. The study included 11 patients in the resistant group and 50 in the sensitive group in line with the power analysis results.
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