Mapping the future of antimicrobial use data collection in US animal agriculture: insights from FDA-funded pilot studies.

Antimicrobial use (AMU) contributes to the emergence of antimicrobial resistance, necessitating antimicrobial stewardship actions across all sectors using a One Health approach to preserve antimicrobial effectiveness. This overview delves into 2 FDA-funded projects focused on collecting and analyzing AMU data in major food-producing animal species (cattle, swine, turkeys, and chickens). Initiated in 2016, the projects aimed to establish baseline AMU information and pilot methodologies. This article describes the methodologies used by grantees for data collected from 2016 to 2021, emphasizing the diverse data sources and metrics utilized. Instead of summarizing the trends, it provides a list of publications generated from the grants. Factors contributing to successful data collection included early interaction and trust building between the producers/data holders and researchers. Shared challenges include limitations stemming from convenience sampling, variable industry participation, and lack of data covering all segments of a particular commodity (eg, data on breeding or young animals were lacking). Future collaborative efforts are needed to enhance data standardization, contextualization, representativeness, and reporting of national-scale AMU data going forward. Addressing these challenges and data gaps is essential for effective monitoring of AMU in veterinary settings and animal agriculture, in alignment with national strategies to combat antimicrobial resistance.

Survey of veterinarians who use pentobarbital for euthanasia suggests knowledge gaps regarding animal disposal.

OBJECTIVE: To assess (1) veterinarians' knowledge and practices regarding disposal of euthanized animals, (2) the extent to which veterinarians communicate with their clients about potential risks of rendering pentobarbital-euthanized animals, and (3) the extent to which veterinarians communicate potential relay toxicosis and environmental risks of pentobarbital-euthanized animals to clients. SAMPLE: A stratified random sample of AVMA members. METHODS: Over a 3-week period in early 2021, 16,831 of the AVMA's 99,500 members were surveyed, with 2,093 responses (a 12% response rate). Respondents were assigned to 1 of 3 categories on the basis of their answers: veterinarians euthanizing only food-producing species, veterinarians euthanizing only non-food-producing species, and veterinarians euthanizing both food-producing and non-food-producing species (ie, veterinarians euthanizing mixed species). RESULTS: Veterinarians responding to this survey appeared to be aware of the major methods of animal disposal, and about 89% reported communicating the method of euthanasia with clients to help ensure appropriate animal disposal. However, the need for additional education on local, state, and federal laws and rendering, as well as on risks of relay toxicosis including wildlife predation and environmental impacts, was reported. CLINICAL RELEVANCE: Survey results identified gaps in veterinarians' knowledge regarding animal disposal following pentobarbital euthanasia. Further education on this topic may be beneficial, particularly for early- and midcareer veterinarians who euthanize non-food-producing species and for veterinarians who euthanize mixed species in urban and suburban communities.

Use of Diagnosis Codes to Find Blood Transfusion Adverse Events in Electronic Health Records.

OBJECTIVE: Electronic health records (EHRs) and big data tools offer the opportunity for surveillance of adverse events (patient harm associated with medical care). We used International Classification of Diseases, Ninth Revision, codes in electronic records to identify known, and potentially novel, adverse reactions to blood transfusion. METHODS: We used 49,331 adult admissions involving critical care at a major teaching hospital, 2001-2012, in the Medical Information Mart for Intensive Care III EHRs database. We formed a T (defined as packed red blood cells, platelets, or plasma) group of 21,443 admissions versus 25,468 comparison (C) admissions. The International Classification of Diseases, Ninth Revision, Clinical Modification , diagnosis codes were compared for T versus C, described, and tested with statistical tools. RESULTS: Transfusion adverse events (TAEs) such as transfusion-associated circulatory overload (TACO; 12 T cases; rate ratio [RR], 15.61; 95% confidence interval [CI], 2.49-98) were found. There were also potential TAEs similar to TAEs, such as fluid overload disorder (361 T admissions; RR, 2.24; 95% CI, 1.88-2.65), similar to TACO. Some diagnoses could have been sequelae of TAEs, including nontraumatic compartment syndrome of abdomen (52 T cases; RR, 6.76; 95% CI, 3.40-14.9) possibly being a consequence of TACO. CONCLUSIONS: Surveillance for diagnosis codes that could be TAE sequelae or unrecognized TAE might be useful supplements to existing medical product adverse event programs.

Antimicrobial use data collection in animal agriculture.

Antimicrobial drug use can contribute to the emergence of antimicrobial drug-resistant organisms; therefore, judicious use of this important category of drugs is critical in both human and animal medicine to slow the development and spread of resistance. The US Food and Drug Administration (FDA) Center for Veterinary Medicine (CVM) is committed to advancing efforts to implement good antimicrobial stewardship practices in veterinary settings as part of our mission to protect human and animal health. In order to understand the drivers of resistance in veterinary settings and assess the impact of interventions designed to slow the development and spread of resistance, it is vital to have access to scientifically sound data on antimicrobial use and resistance. In 2016, FDA awarded funds in the form of cooperative agreements to support pilot projects for the collection of farm-level antimicrobial use data in animal agriculture. These funded data collection efforts are intended to provide needed information on antimicrobial use practices in various animal production settings and to inform the development of long-term strategies for collecting and reporting such data in a sustainable and nationally representative manner. Data were collected from records of participating dairy and feedlot cattle operations, swine companies, and broiler and turkey companies. Information from the first 2 years of the pilot projects is presented in this special issue, along with discussions related to challenges of collecting and reporting antimicrobial use data.

Use of data mining at the Food and Drug Administration.

OBJECTIVES: This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA). TARGET AUDIENCE: We address data miners in all sectors, anyone interested in the safety of products regulated by the FDA (predominantly medical products, food, veterinary products and nutrition, and tobacco products), and those interested in FDA activities. SCOPE: Topics include routine and developmental data mining activities, short descriptions of mined FDA data, advantages and challenges of data mining at the FDA, and future directions of data mining at the FDA.