Cargando…

Development of a checklist for the detection of degenerative joint disease-associated pain in cats

OBJECTIVES: The aim of this study was to develop an evidence-based, clinically expedient checklist to identify cats likely to have degenerative joint disease (DJD)-associated pain. METHODS: Data were compiled from previously conducted studies that employed a standardized subjective outcome measure c...

Descripción completa

Detalles Bibliográficos
Autores principales: Enomoto, Masataka, Lascelles, B Duncan X, Gruen, Margaret E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736399/
https://www.ncbi.nlm.nih.gov/pubmed/32122226
http://dx.doi.org/10.1177/1098612X20907424
_version_ 1783622783555600384
author Enomoto, Masataka
Lascelles, B Duncan X
Gruen, Margaret E
author_facet Enomoto, Masataka
Lascelles, B Duncan X
Gruen, Margaret E
author_sort Enomoto, Masataka
collection PubMed
description OBJECTIVES: The aim of this study was to develop an evidence-based, clinically expedient checklist to identify cats likely to have degenerative joint disease (DJD)-associated pain. METHODS: Data were compiled from previously conducted studies that employed a standardized subjective outcome measure consisting of a series of questions. These studies included a prevalence study (with DJD non-informed owners) and therapeutic trials (with DJD-informed owners). For each cat, and each question, response scores were converted to ‘impaired’ and ‘unimpaired’. Cats were categorized as ‘DJD pain’ and ‘non-DJD’ based on orthopedic pain and radiographic DJD scores. These binary data were compared between cat phenotypes (non-DJD and DJD pain) for each question. Sensitivity and specificity of each question were calculated using the binary data; based on this, potential questions for the checklist were selected. Sensitivity and specificity across this group of questions were calculated, and questions sequentially removed to optimize length, sensitivity and specificity. Finally, the proposed checklist was applied to a novel data set to evaluate its ability to identify cats with DJD pain. RESULTS: In total, 249 DJD pain cats and 53 non-DJD cats from five studies were included. Nine questions with adequate sensitivity and specificity were initially identified. Following sequential removal of questions, a checklist with six binary questions was proposed. Based on the data from the cohorts of DJD-informed and DJD non-informed owners, the sensitivity and specificity of the proposed checklist were approximately 99% and 100%, and 55% and 97%, respectively. CONCLUSIONS AND RELEVANCE: The proposed checklist represents a data-driven approach to construct a screening checklist for DJD pain in cats. This checklist provides a clinically expedient tool likely to increase veterinarians’ ability to screen for DJD pain in cats. The identified behaviors comprising the checklist may further provide a foundation for increasing awareness of DJD pain among cat owners.
format Online
Article
Text
id pubmed-7736399
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-77363992021-01-08 Development of a checklist for the detection of degenerative joint disease-associated pain in cats Enomoto, Masataka Lascelles, B Duncan X Gruen, Margaret E J Feline Med Surg Original Articles OBJECTIVES: The aim of this study was to develop an evidence-based, clinically expedient checklist to identify cats likely to have degenerative joint disease (DJD)-associated pain. METHODS: Data were compiled from previously conducted studies that employed a standardized subjective outcome measure consisting of a series of questions. These studies included a prevalence study (with DJD non-informed owners) and therapeutic trials (with DJD-informed owners). For each cat, and each question, response scores were converted to ‘impaired’ and ‘unimpaired’. Cats were categorized as ‘DJD pain’ and ‘non-DJD’ based on orthopedic pain and radiographic DJD scores. These binary data were compared between cat phenotypes (non-DJD and DJD pain) for each question. Sensitivity and specificity of each question were calculated using the binary data; based on this, potential questions for the checklist were selected. Sensitivity and specificity across this group of questions were calculated, and questions sequentially removed to optimize length, sensitivity and specificity. Finally, the proposed checklist was applied to a novel data set to evaluate its ability to identify cats with DJD pain. RESULTS: In total, 249 DJD pain cats and 53 non-DJD cats from five studies were included. Nine questions with adequate sensitivity and specificity were initially identified. Following sequential removal of questions, a checklist with six binary questions was proposed. Based on the data from the cohorts of DJD-informed and DJD non-informed owners, the sensitivity and specificity of the proposed checklist were approximately 99% and 100%, and 55% and 97%, respectively. CONCLUSIONS AND RELEVANCE: The proposed checklist represents a data-driven approach to construct a screening checklist for DJD pain in cats. This checklist provides a clinically expedient tool likely to increase veterinarians’ ability to screen for DJD pain in cats. The identified behaviors comprising the checklist may further provide a foundation for increasing awareness of DJD pain among cat owners. SAGE Publications 2020-03-03 2020-12 /pmc/articles/PMC7736399/ /pubmed/32122226 http://dx.doi.org/10.1177/1098612X20907424 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Enomoto, Masataka
Lascelles, B Duncan X
Gruen, Margaret E
Development of a checklist for the detection of degenerative joint disease-associated pain in cats
title Development of a checklist for the detection of degenerative joint disease-associated pain in cats
title_full Development of a checklist for the detection of degenerative joint disease-associated pain in cats
title_fullStr Development of a checklist for the detection of degenerative joint disease-associated pain in cats
title_full_unstemmed Development of a checklist for the detection of degenerative joint disease-associated pain in cats
title_short Development of a checklist for the detection of degenerative joint disease-associated pain in cats
title_sort development of a checklist for the detection of degenerative joint disease-associated pain in cats
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736399/
https://www.ncbi.nlm.nih.gov/pubmed/32122226
http://dx.doi.org/10.1177/1098612X20907424
work_keys_str_mv AT enomotomasataka developmentofachecklistforthedetectionofdegenerativejointdiseaseassociatedpainincats
AT lascellesbduncanx developmentofachecklistforthedetectionofdegenerativejointdiseaseassociatedpainincats
AT gruenmargarete developmentofachecklistforthedetectionofdegenerativejointdiseaseassociatedpainincats