A Spanish Survey on the Perioperative Use of Antimicrobials in Small Animals.
Ignacio Otero BaldaManuel Fuertes-RecueroSilvia Penelo HidalgoJorge Espinel RupérezBenoit LapostolleTania AyllónGustavo Ortiz-DiezPublished in: Animals : an open access journal from MDPI (2023)
Appropriate use of perioperative antimicrobials can significantly reduce the risk of post-operative infections. However, inappropriate antimicrobial use can result in the creation of multidrug-resistant bacteria, increased costs, host flora disruption, side effects and increased risk of hospital-acquired infections. This survey evaluated the current perioperative use of antimicrobials in small animals by Spanish veterinarians using a web-based questionnaire. Responses were represented using descriptive statistics and a statistical analysis of the association between demographic data and perioperative antimicrobial use was performed. Pre-operative antimicrobials were administered in clean surgery by up to 68.3% of participants, 81.0% in clean-contaminated surgery and 71.3% in dirty surgery, while in the post-operative period, antimicrobials were administered by up to 86.3% of participants in clean surgery, 93.2% in clean-contaminated surgery and 87.5% in dirty surgery. Factors considered "very important" for antimicrobial selection were the degree of wound contamination, patient immunosuppression and use of prosthesis. The most frequently used antimicrobial was beta-lactamase-resistant (or potentiated) penicillin. Post-operative antimicrobial use was associated with participants without specific surgical postgraduate training. This study highlights an overuse of antimicrobials in perioperative procedures in small animal surgery in Spain. Therefore, evidence-based guidelines and further education regarding the correct use of antimicrobial prophylaxis are recommended.
Keyphrases
- minimally invasive
- coronary artery bypass
- staphylococcus aureus
- surgical site infection
- multidrug resistant
- healthcare
- cross sectional
- escherichia coli
- drinking water
- emergency department
- heavy metals
- pseudomonas aeruginosa
- drug resistant
- gram negative
- machine learning
- quality improvement
- acute coronary syndrome
- virtual reality
- drug induced