Characterization of an Emerging Enterococcus cecorum Outbreak Causing Severe Systemic Disease with Concurrent Leg Problems in a Broiler Integrator in the Southern United States.

Enterococcus cecorum has been associated mainly with osteomyelitis of the free thoracic vertebra in chickens. However, there are reports of E. cecorum producing septicemic lesions and having tropism for cartilages, resulting in the presentation of femoral head necrosis and synovitis. This paper discusses the presentation of E. cecorum as it relates to an outbreak in one vertical integrator where the main lesions were related to septicemia. Using a convenience sampling method, 100 broiler chicken cases received at the Poultry Research and Diagnostic Laboratory of Mississippi State University from April to December of 2021 were analyzed. The peak in cases was observed from June to August. The average age of broilers was 21 days with a range of 15-31 days. Most of these cases were related to systemic disease and leg problems, with gross lesions including characteristic pericarditis along with perihepatitis, osteomyelitis, and arthritis. In six of the 100 cases, E cecorum was isolated from the free thoracic vertebra, with the remaining being recovered from various other locations including liver, pericardium, hock/joint, femoral head, and bone marrow. Enterococcus cecorum identification was performed by using Vitek matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. These results were then sent to the research-use only SARAMIS database for analysis. Once the spectra of the isolates were imported, the relative and absolute taxonomy were analyzed. Two super spectrums and three clusters by homology were identified. The minimal inhibitory concentrations obtained by antimicrobial sensitivity tests were analyzed using WHONET Microbiology Laboratory Database Software. No isolates were pan-susceptible, 80% of isolates were noted to be resistant to ≥3 classes of antibiotics and, in general, isolates exhibited a high degree of variability when examining antimicrobial resistance patterns.