Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals. Issue 4 (5th November 2021)

• Record Type: Journal Article
• Authors: Sanders, Pim; Mevius, Dik; Veldman, Kees; van Geijlswijk, Inge; Wagenaar, Jaap A; Bonten, Marc; Heederik, Dick
• Is Part Of: JAC-antimicrobial resistance. Volume 3:Issue 4(2021)
• Publication Date: 2021-11-05
• Subjects: Anti-infective agents -- Periodicals; Chemotherapy -- Periodicals; Drug resistance in microorganisms -- Periodicals; 616.9041
• DOI: 10.1093/jacamr/dlab172
• Languages: English
• ISSNs: 2632-1823

Abstract

Abstract: Objectives: To explore the effects of using different indicators to quantify antimicrobial usage (AMU) in livestock and compare outcomes with antimicrobial resistance (AMR) data. Methods: Three indicators were used to quantify AMU, two indicators in which the denominator varied: defined daily doses per average mass of the animals present per year (DDD/AY) and defined daily doses per population correction unit (DDD/PCU) and one in which the numerator varied: milligrams of active ingredient per PCU (mg/PCU). AMU was compared with antimicrobial resistance data from the national monitoring programme from 2013 to 2018 with the proportion of Escherichia coli isolates fully susceptible to a predefined panel of antimicrobials for the broiler, dairy cattle and pig farming livestock sectors in the Netherlands. Results: The ranking of livestock sectors differs between sectors when using different indicators to express AMU. Dairy cattle rank lowest when expressing AMU in DDD/AY, followed by pigs and broilers corresponding to the rankings of the sectors for AMR. When changing the denominator to PCU, the ranking in AMU is reversed: use ranks highest in dairy cattle and lowest broilers. Conclusions: Using different denominators in AMU indicators has a major impact on measured use. This might result in misinterpretation of effects of interventions on AMU and the associations of AMU with AMR across animal sectors. From an epidemiological perspective, indicators that take into account time at risk of exposure to antimicrobials are to be preferred and reflect the AMR risk most accurately.