Evaluation of a composite pain scale including facial expressions for detecting orthopedic pain in lame dairy cows

Orthopedic disease, presenting as lameness, is a common cause of pain in dairy cattle, often implying a prolonged course of disease, with significant economic losses and impaired animal welfare. To mitigate these negative effects, early identification of lameness and monitoring of pain levels during recovery are crucial. This study aimed to evaluate whether the Cow Pain Scale (CPS) can be used to detect pain behaviors in stationary dairy cows with mild to moderate lameness or not, and to investigate the association between certain CPS items and orthopedic disease. Data were collected on a research dairy farm with a loose-housing system and included 36 clinical lameness cases from 34 individual cows. Each lameness case consisted of 2 trials: when the cow was found to be lame (initial trial), and after treatment and improvement (follow-up trial). Each trial included an on-site pain assessment with the CPS with simultaneous video recording, followed by Sprecher lameness scoring and clinical examination. Blinded pain assessments using the CPS were performed from the video recordings by 3 trained observers at 2 different occasions, 3 wk apart. Using linear mixed models, a significant positive correlation between CPS total scores and Sprecher lameness scores was identified for both video and on-site pain assessments. Predicted CPS total scores increased with increasing lameness scores; however, there was a large overlap in CI, indicating a complex relationship between pain score and pain intensity. Multiple correspondence analysis identified different CPS item combinations, including facial expressions, which were associated with orthopedic pain. Video scoring showed moderate inter- and good intrarater agreement in CPS total scores, but there was considerable variation in inter- and intrarater agreement for different scale items. The scale items "head position" and "back position" showed an overall strong agreement and "attention toward the surroundings" a moderate agreement. In contrast, intrarater agreement for the items "facial expression" and "ear position" was generally weak, which may indicate that these items are harder to assess. The CPS proved to be a reliable tool for video pain assessment in dairy cows with orthopedic pain. Furthermore, we showed that behavioral patterns varied among lame cows, which is why single items within the CPS should be interpreted with caution.

Authors

Institutions

Publication Details

Journal
Journal of Dairy Science
Published
2025-02-20
DOI
https://doi.org/10.3168/jds.2024-25692
Citations
2
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
4.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of a composite pain scale including facial expressions for detecting orthopedic pain in lame dairy cows

Elin Hernlund, Maja Söderlind, Marie Rhodin, Katrina Ask et al.
2 citations
Journal of Dairy Science
Animal Behavior and Welfare Studies
4.71
article

Evaluation of a composite pain scale including facial expressions for detecting orthopedic pain in lame dairy cows

Elin Hernlund, Maja Söderlind, Marie Rhodin, Katrina Ask, Pia Haubro Andersen, Jean‐François Valarcher, Anna Leclercq, Therése Åkesson
article en
2 citations

Abstract

Orthopedic disease, presenting as lameness, is a common cause of pain in dairy cattle, often implying a prolonged course of disease, with significant economic losses and impaired animal welfare. To mitigate these negative effects, early identification of lameness and monitoring of pain levels during recovery are crucial. This study aimed to evaluate whether the Cow Pain Scale (CPS) can be used to detect pain behaviors in stationary dairy cows with mild to moderate lameness or not, and to investigate the association between certain CPS items and orthopedic disease. Data were collected on a research dairy farm with a loose-housing system and included 36 clinical lameness cases from 34 individual cows. Each lameness case consisted of 2 trials: when the cow was found to be lame (initial trial), and after treatment and improvement (follow-up trial). Each trial included an on-site pain assessment with the CPS with simultaneous video recording, followed by Sprecher lameness scoring and clinical examination. Blinded pain assessments using the CPS were performed from the video recordings by 3 trained observers at 2 different occasions, 3 wk apart. Using linear mixed models, a significant positive correlation between CPS total scores and Sprecher lameness scores was identified for both video and on-site pain assessments. Predicted CPS total scores increased with increasing lameness scores; however, there was a large overlap in CI, indicating a complex relationship between pain score and pain intensity. Multiple correspondence analysis identified different CPS item combinations, including facial expressions, which were associated with orthopedic pain. Video scoring showed moderate inter- and good intrarater agreement in CPS total scores, but there was considerable variation in inter- and intrarater agreement for different scale items. The scale items "head position" and "back position" showed an overall strong agreement and "attention toward the surroundings" a moderate agreement. In contrast, intrarater agreement for the items "facial expression" and "ear position" was generally weak, which may indicate that these items are harder to assess. The CPS proved to be a reliable tool for video pain assessment in dairy cows with orthopedic pain. Furthermore, we showed that behavioral patterns varied among lame cows, which is why single items within the CPS should be interpreted with caution.

Journal of Dairy ScienceVol. 108(5)
Swedish University of Agricultural Sciences (SE)
Marie-Claire Cronstedts Stiftelse, Skogs- och Jordbrukets Forskningsråd
Zero hunger
Openalex Percentile: Top 8%
Animal Behavior and Welfare Studies
4.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.