Surgical treatment of lameness

Objective assessment of lameness in cattle after foot surgery

Assessment of lameness in cattle after foot surgery is important to monitor the recovery period, to improve the long-term success and the cows` welfare. This longitudinal multicenter retrospective study was carried out to evaluate the usefulness of automated tools of weight bearing and gait analysis following foot surgery to support the clinician to monitor lameness in cattle. For this purpose, the effect of involvement of different anatomical structures and the use of different surgery methods on gait parameters of post-operative recovery was assessed. The study consisted of 2 experiments and included cattle with unilateral foot pathologies located in the digital region which needed 1 (experiment 1; n = 30) or 2 (experiment 2; n = 4) surgical interventions. The surgical techniques were debridement, joint lavage, partial resection of bones, tendons or synovial structures, total resection of the sesamoid bone and digit amputation. Two accelerometers (400 Hz; kinematic outcome = stance phase duration; kinetic outcome = foot load and toe-off), a 4-scale weighing platform (difference of mean weight distribution across the limbs; Δ_weight) and a subjective locomotion score were used to evaluate gait parameters every 3 to 4 days after surgery. A repeated measures ANOVA was used in experiment 1 and a receiver operator characteristic analysis was used to determine the optimal cutoff values in experiment 2. Results showed that the differences across limbs for the pedogram variables of stance phases and peaks of foot load and toe-off, Δ_weight and the locomotion score were highest if joints or sesamoid bones were involved, suggesting that these cattle were more severely lame compared to cattle with more superficial foot pathologies. There was a significantly lower degree of lameness after surgical debridement and after digit amputation compared to partial and total resection of anatomical structures of the foot. The use of accelerometers and a 4-scale weighing platform represent promising objective tools for post-operative monitoring of lameness and can support the clinician in gait assessment to improve the long-term success of surgical interventions in the area of the foot.

Factors associated with septic arthritis of the distal interphalangeal joint in beef cattle: A case-control study

Lameness in cattle is a welfare concern and is associated with important economic losses in beef cattle operations. Infection of the distal interphalangeal joint (DIJ) results in severe lameness and if left untreated carries a poor prognosis. Diagnosis of DIJ infection is challenging in the field. The aim of this study was to determine factors associated with septic arthritis of the DIJ in beef cattle. Thirty-nine beef cattle with a complaint of single-foot lameness were used in this study. History and lameness examination data were recorded and analyzed. Radiographic changes and cytology of synovial fluid of the affected DIJ were used to define the presence (cases) or absence (controls) of DIJ infection. Asymmetric swelling at the coronary band of the affected foot and a lameness score of ≥4/5 significantly increased the odds (odds ratio [OR]=63.2 and OR=120, respectively) of diagnosis of septic arthritis of the DIJ in beef cattle with a single-foot lameness compared to cattle with no asymmetry of the coronary band or lameness scores <3. Routine lameness examination findings could be used in the field to rapidly recognize infection of the DIJ in lame beef cattle.

Clinical diagnosis of foot and leg lameness in cattle

The causes of lameness in cattle are multifactorial and involve a combination of housing, management, and environmental factors and a variety of infectious agents. Arriving at a cause can often require concerted efforts. Diagnosis of lameness is often based mainly on clinical observations. A detailed record of those observations with time and among several animals within a herd can provide valuable information toward solving lameness problems. Advances in computer hardware and software help facilitate more detailed data collection and analysis.