Clinical Scores and Classification Systems Supporting Illness Severity Evaluation, Decision-Making, and Management in Food Animal Practice

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal System and Management".

Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 5735

Special Issue Editor


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Guest Editor
Department of Veterinary Medicine, University of Milan, 20122, Milan, Italy
Interests: food animal internal medicine and surgery

Special Issue Information

Dear Colleagues,

In recent years, many diagnosis‐specific clinical scoring systems have been developed and are gaining increasing popularity. Indeed, they can decrease bias or confounding and provide a quantitative and objective measure of patient illness. In addition, clinical scores, decision-making trees, and checklists can benchmark procedures for triage, therapeutic protocols, quality assessment of farm management and animal welfare.

Although scores used in veterinary research are increasing, often the data available are barely utilized in clinical practice. Regarding scientific literature, the use of an objective criterion for the evaluation of disease severity and treatment effects in patients presenting different diseases can improve both observational and randomized trials validity, especially when group sizes are small. Moreover, reviews describing clinical scoring systems already validated can help to assess the state of art and also the possible limitations of their use.

This Special Issue aims to present clinical studies that validate the quality of scoring systems, checklists, or decision-making trees in farm animal practice. Furthermore, reviews of scoring systems already in use are invited.

Prof. Dr. Davide Pravettoni
Guest Editor

Manuscript Submission Information

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Keywords

  • clinical scoring system
  • decision-making tree
  • checklist
  • illness severity evaluation
  • treatment efficacy assessment
  • food animals

Published Papers (3 papers)

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Research

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17 pages, 2218 KiB  
Article
Hock Lesions in Dairy Cows in Cubicle Housing Systems in Germany: Prevalence and Risk Factors
by Cindy Freigang, Katharina Charlotte Jensen, Amely Campe, Melanie Feist, Andreas Öhm, Marcus Klawitter, Annegret Stock and Martina Hoedemaker
Animals 2023, 13(18), 2919; https://doi.org/10.3390/ani13182919 - 14 Sep 2023
Cited by 1 | Viewed by 758
Abstract
Hock lesions in dairy cows are an important indicator of animal welfare, in particular housing conditions. The aim of this study was to assess the prevalence of hock lesions in dairy cows kept in cubicle housing systems in three structurally different regions of [...] Read more.
Hock lesions in dairy cows are an important indicator of animal welfare, in particular housing conditions. The aim of this study was to assess the prevalence of hock lesions in dairy cows kept in cubicle housing systems in three structurally different regions of Germany and to derive recommendations from risk factor analyses. Lactating and dry cows kept in cubicle housing systems were assessed for hock lesions (north: 206 farms with 20,792 cows; south: 156 farms with 8050 cows; east: 192 farms with 37,839 cows). Risk factor analyses were conducted using multi-factorial logistic regression models. The median prevalence of hock lesions (hairless patches, wounds, and/or swelling) at farm level was 79.8% (SD: 25.0; north), 66.2% (SD: 31.0; south), and 78.5% (SD: 26.3; east). The mean prevalence of severe hock lesions (wounds and/or swelling) at farm level was 12.5% (SD: 11.3; north), 8.0% (SD: 13.5; south), and 14.4% (SD: 17.9; east). Cows kept in pens with rubber mats or mattresses (with or without a small amount of litter) had a particularly higher chance of hock lesions compared with cows kept in pens with deep-bedded cubicles (OR: north: 3.1 [2.3–4.2]; south: 8.7 [5.9–13.0], east: 2.0 [1.7–2.4]). The study showed that hock lesions are a widespread problem on German dairy farms with cubicle housing systems. Deep-bedded cubicles are likely to reduce hock lesions and increase cows’ comfort. Full article
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Review

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11 pages, 279 KiB  
Review
Clinical Scoring Systems in the Newborn Calf: An Overview
by Monica Probo and Maria Cristina Veronesi
Animals 2022, 12(21), 3013; https://doi.org/10.3390/ani12213013 - 03 Nov 2022
Cited by 4 | Viewed by 2429
Abstract
A scoring system is an instrument that enables the scorers, including farmers, technicians, and veterinarians, to adopt a systematic approach for diagnosis or monitoring, as it decreases bias and confounding and increases objectivity. Practically, it is a number assigned to a patient that [...] Read more.
A scoring system is an instrument that enables the scorers, including farmers, technicians, and veterinarians, to adopt a systematic approach for diagnosis or monitoring, as it decreases bias and confounding and increases objectivity. Practically, it is a number assigned to a patient that correlates with a probability that a diagnosis can be confirmed or that a specific outcome will follow. This article examines the clinical scores designed or adapted to bovine medicine that aim to assess newborn calf viability and to diagnose and monitor neonatal calf diarrhea and respiratory diseases, helping the clinician promptly recognize calves needing medical assistance. Despite the large number of clinical scores described in the literature, these are still barely used in farm animal practice; possibly, the complexity of the scores and missing recommendations for intervention are reasons for their lack of popularity as well as the crosswise lack of consistency among scores designed for the same purpose. Further research is needed in this regard to increase scores validation and encourage their application in bovine calf neonatology. Full article
15 pages, 9164 KiB  
Review
Clinical Scores in Veterinary Medicine: What Are the Pitfalls of Score Construction, Reliability, and Validation? A General Methodological Approach Applied in Cattle
by Sébastien Buczinski, Antonio Boccardo and Davide Pravettoni
Animals 2021, 11(11), 3244; https://doi.org/10.3390/ani11113244 - 13 Nov 2021
Cited by 6 | Viewed by 1709
Abstract
Clinical scores are commonly used for cattle. They generally contain a mix of categorical and numerical variables that need to be assessed by scorers, such as farmers, animal caretakers, scientists, and veterinarians. This article examines the key concepts that need to be accounted [...] Read more.
Clinical scores are commonly used for cattle. They generally contain a mix of categorical and numerical variables that need to be assessed by scorers, such as farmers, animal caretakers, scientists, and veterinarians. This article examines the key concepts that need to be accounted for when developing the test for optimal outcomes. First, the target condition or construct that the scale is supposed to measure should be defined, and if possible, an adequate proxy used for classification should be determined. Then, items (e.g., clinical signs) of interest that are either caused by the target condition (reflective items) or that caused the target condition (formative items) are listed, and reliable items (inter and intra-rater reliability) are kept for the next step. A model is then developed to determine the relative weight of the items associated with the target condition. A scale is then built after validating the model and determining the optimal threshold in terms of sensitivity (ability to detect the target condition) and specificity (ability to detect the absence of the target condition). Its robustness to various scenarios of the target condition prevalence and the impact of the relative cost of false negatives to false positives can also be assessed to tailor the scale used based on specific application conditions. Full article
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