S Buczinski1, C Faure2, S Jolivet2, A Abdallah1,3. 1. a Clinique Ambulatoire Bovine, Département des Sciences Cliniques , Faculté de Médecine Vétérinaire, Université de Montréal , CP 5000, St-Hyacinthe, Québec , Canada J2S 7C6. 2. b Ecole Nationale Vétérinaire de Toulouse (ENVT) , Université de Toulouse, Institut National Polytechnique (INP) , Toulouse , 31076 , France. 3. c Faculty of Veterinary Medicine , Zagazig University , Zagazig , Sharkia , 44519 , Egypt.
Abstract
AIM: To determine inter-observer agreement for a clinical scoring system for the detection of bovine respiratory disease complex in calves, and the impact of classification of calves as sick or healthy based on different cut-off values. METHODS: Two third-year veterinary students (Observer 1 and 2) and one post-graduate student (Observer 3) received 4 hours of training on scoring dairy calves for signs of respiratory disease, including rectal temperature, cough, eye and nasal discharge, and ear position. Observers 1 and 2 scored 40 pre-weaning dairy calves 24 hours apart (80 observations) over three visits to a calf-rearing facility, and Observers 1, 2 and 3 scored 20 calves on one visit. Inter-observer agreement was assessed using percentage of agreement (PA) and Kappa statistics for individual clinical signs, comparing Observers 1 and 2. Agreement between the three observers for total clinical score was assessed using cut-off values of ≥4, ≥5 and ≥6 to indicate unhealthy calves. RESULTS: Inter-observer PA for rectal temperature was 0.68, for cough 0.78, for nasal discharge 0.62, for eye discharge 0.63, and for ear position 0.85. Kappa values for all clinical signs indicated slight to fair agreement (<0.4), except temperature that had moderate agreement (0.6). The Fleiss' Kappa for total score, using cut-offs of ≥4, ≥5 and ≥6 to indicate unhealthy calves, was 0.35, 0.06 and 0.13, respectively, indicating slight to fair agreement. CONCLUSIONS AND CLINICAL RELEVANCE: There was important inter-observer discrepancies in scoring clinical signs of respiratory disease, using relatively inexperienced observers. These disagreements may ultimately mean increased false negative or false positive diagnoses and incorrect treatment of cases. Visual assessment of clinical signs associated with bovine respiratory disease needs to be thoroughly validated when disease monitoring is based on the use of a clinical scoring system.
AIM: To determine inter-observer agreement for a clinical scoring system for the detection of bovinerespiratory disease complex in calves, and the impact of classification of calves as sick or healthy based on different cut-off values. METHODS: Two third-year veterinary students (Observer 1 and 2) and one post-graduate student (Observer 3) received 4 hours of training on scoring dairy calves for signs of respiratory disease, including rectal temperature, cough, eye and nasal discharge, and ear position. Observers 1 and 2 scored 40 pre-weaning dairy calves 24 hours apart (80 observations) over three visits to a calf-rearing facility, and Observers 1, 2 and 3 scored 20 calves on one visit. Inter-observer agreement was assessed using percentage of agreement (PA) and Kappa statistics for individual clinical signs, comparing Observers 1 and 2. Agreement between the three observers for total clinical score was assessed using cut-off values of ≥4, ≥5 and ≥6 to indicate unhealthy calves. RESULTS: Inter-observer PA for rectal temperature was 0.68, for cough 0.78, for nasal discharge 0.62, for eye discharge 0.63, and for ear position 0.85. Kappa values for all clinical signs indicated slight to fair agreement (<0.4), except temperature that had moderate agreement (0.6). The Fleiss' Kappa for total score, using cut-offs of ≥4, ≥5 and ≥6 to indicate unhealthy calves, was 0.35, 0.06 and 0.13, respectively, indicating slight to fair agreement. CONCLUSIONS AND CLINICAL RELEVANCE: There was important inter-observer discrepancies in scoring clinical signs of respiratory disease, using relatively inexperienced observers. These disagreements may ultimately mean increased false negative or false positive diagnoses and incorrect treatment of cases. Visual assessment of clinical signs associated with bovinerespiratory disease needs to be thoroughly validated when disease monitoring is based on the use of a clinical scoring system.
Authors: Abdelmonem A Abdallah; Ahmed M Abdelaal; Abdelkhalek R El-Sheikh; Hatem Selim; Sébastien Buczinski Journal: Can Vet J Date: 2019-08 Impact factor: 1.008
Authors: Søren Saxmose Nielsen; Julio Alvarez; Dominique Joseph Bicout; Paolo Calistri; Elisabetta Canali; Julian Ashley Drewe; Bruno Garin-Bastuji; Jose Luis Gonzales Rojas; Christian Gortázar Schmidt; Virginie Michel; Miguel Ángel Miranda Chueca; Barbara Padalino; Paolo Pasquali; Helen Clare Roberts; Hans Spoolder; Karl Stahl; Antonio Velarde; Arvo Viltrop; Christoph Winckler; Bernadette Earley; Sandra Edwards; Luigi Faucitano; Sonia Marti; Genaro C Miranda de La Lama; Leonardo Nanni Costa; Peter T Thomsen; Sean Ashe; Lina Mur; Yves Van der Stede; Mette Herskin Journal: EFSA J Date: 2022-09-07