We hypothesized that claw and foot pain could be objectively determined and have a strong effect on limb locomotion. Claw pain was measured using hoof testers equipped with a pressure gauge. Soft tissue pain was evaluated with an algometer. Pain was determined as the maximum pressure recorded at the time the limb was withdrawn following claw or soft tissue compression with the hoof tester or algometer. Locomotion scores and claw and soft tissue pain were determined on 263 Holstein cows from 2 commercial dairy farms. The frequency and the magnitude of pain had an effect on locomotion score in the ipsilateral limb for lateral, but not medial, claws. The magnitude of the lateral claw pain index for limbs with locomotion scores 1 to 5 was 0.95 +/- 0.01, 0.90 +/- 0.02, 0.67 +/- 0.04, 0.65 +/- 0.05, and 0.45 +/- 0.11, respectively. The magnitude of the medial claw pain index for limbs with locomotion scores 1 to 5 was 1.0 +/- 0.00, 0.99 +/- 0.01, 0.98 +/- 0.01, 1.0 +/- 0.00, and 1.0 +/- 0.00, respectively. The frequency of painful claws (n = 208) in limbs with locomotion scores 1, 2, and > or =3 was 0.529, 0.173, and 0.298, respectively. The frequency of painless claws (n = 318) in limbs with locomotion scores 1, 2, or > or =3 was 0.792, 0.088, and 0.120, respectively. The frequency of pain (27.1%) and total lesions (85.6%) was greater in lateral claws (n = 524) than that of pain (2.1%) and total lesions (14.4%) in medial claws (n = 524). Yet the magnitude of the pain index in sore claws was similar for medial (0.73 +/- 0.09) and lateral claws (0.64 +/- 0.02). The magnitude and frequency of claw pain in one hind limb was inconsistently and weakly affected by locomotion score or claw pain in the contralateral limb. The prevalence of unilateral (32.8%) and bilateral (23.3%) pain was similar and lower than the occurrence of bilaterally nonpainful claws (43.9%) in the study group. Painful claws (n = 78) occurred on sound limbs (n = 332) with a pain index (0.72 +/- 0.02) indicative of less pain than the pain index (0.61 +/- 0.02) of painful claws (n = 130) on lame limbs (n = 192). The results showed that lateral claw pain was related to ipsilateral limb locomotion score and subclinical pain was a relatively common occurrence. Objective measures of pain may provide a more reliable, continuous measure of clinical events used in modeling lameness.
Bovine lameness results in pain and suffering in cattle and economic loss for producers. A system for automatically detecting lame cows was developed recently that measures vertical force components attributable to individual limbs. These measurements can be used to calculate a number of limb movement variables. The objective of this investigation was to explore whether gait scores, lesion scores, or combined gait and lesion scores were more effectively captured by a set of 5 limb movement variables. A set of 700 hind limb examinations was used to create gait-based, lesion-based, and combined (gait- and lesion-based) models. Logistic regression models were constructed using 1, 2, or 3 d of measurements. Resulting models were tested on cows not used in modeling. The accuracy of lesion-score models was superior to that of gait-score models; lesion-based models generated greater values of areas under the receiving operating characteristic curves (range 0.75 to 0.84) and lower mean-squared errors (0.13 to 0.16) compared with corresponding values for the gait-based models (0.63 to 0.73 and 0.26 to 0.31 for receiving operating characteristic and mean-squared errors, respectively). These results indicate that further model development and investigation could generate automated and objective methods of lameness detection in dairy cattle.
The objective of the study was to evaluate the relationship of veterinary clinical assessments of lameness to probability estimates of lameness predicted from vertical kinetic measures. We hypothesized that algorithm-derived probability estimates of lameness would accurately reflect vertical measures in lame limbs even though vertical changes may not inevitably occur in all lameness. Kinetic data were collected from sound (n=179) and unilaterally lame (n=167) dairy cattle with a 1-dimensional, parallel force plate system that registered vertical ground reaction force signatures of all four limbs as cows freely exited the milking parlour. Locomotion was scored for each hind limb using a 1-5 locomotion score system (1=sound, 5=severely lame). Pain response in the interdigital space was quantified with an algometer and pain response in the claw was quantified with a hoof tester fitted with a pressure gage. Lesions were assigned severity scores (1=minimal pathology to 5=severe pathology). Lameness diminished the magnitude of peak ground reaction forces, average ground reaction forces, Fourier transformed ground reaction forces, stance times and vertical impulses in the lame limbs of unilaterally lame cows. The only effect of lameness on the opposite sound limb was increased magnitude of stance times and vertical impulses in unilaterally lame cows. Symmetry measures of the peak ground reaction forces, average ground reaction forces, Fourier transformed ground reaction forces, stance times and vertical impulses between the left and right hind limbs were also affected in unilateral lameness. Paradoxically, limbs with clinically similar lesion and locomotion scores and pain responses were associated with a broad range of load-transfer off the limb. Substantial unloading and changes in the vertical limb variables occurred in some lameness while minimal unloading and changes in vertical limb variables occurred in other lameness. Corresponding probability estimates of lameness accurately reflected changes in the vertical parameters of limbs and generated low probability estimates of lameness when minimal unloading occurred. Failure to transfer load off limbs with pain reactions, locomotion abnormalities and lesions explained much of the limited sensitivity in lameness detection with vertical limb variables.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.