Cargando…

Mandibular Thickness Measurements as Predictive Tool for Specific Dental Disorders in Alpacas (Vicugna Pacos)

BACKGROUND: Oral health in alpacas is often neglected until severe dental disease becomes evident under the form of a pronounced mandibular swelling with or without fistulation. Mandibular thickness measurements might serve as an easy tool to screen for early increases in thickness thereby identifyi...

Descripción completa

Detalles Bibliográficos
Autores principales: Proost, Kirsten, Pardon, Bart, Vlaminck, Lieven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913036/
https://www.ncbi.nlm.nih.gov/pubmed/35280147
http://dx.doi.org/10.3389/fvets.2022.817050
_version_ 1784667321028050944
author Proost, Kirsten
Pardon, Bart
Vlaminck, Lieven
author_facet Proost, Kirsten
Pardon, Bart
Vlaminck, Lieven
author_sort Proost, Kirsten
collection PubMed
description BACKGROUND: Oral health in alpacas is often neglected until severe dental disease becomes evident under the form of a pronounced mandibular swelling with or without fistulation. Mandibular thickness measurements might serve as an easy tool to screen for early increases in thickness thereby identifying alpacas which could benefit from an oral examination. OBJECTIVE: To study specific risk factors, including age, gender, level of performed measurements and dental disorders, associated with mandibular thickness in alpacas. To determine suitable cutoff values for mandibular thickness at specific locations for the development of a diagnostic test to identify animals with dental disorders. STUDY DESIGN: Cross-sectional study. METHODS: Mandibular thickness was measured at standardized locations in 216 alpacas using a Vernier caliper. Risk factors for an increased mandibular thickness were collected through oral examination in sedated animals and by interview of the respective owner. A multivariable linear mixed model was built to identify factors associated with mandibular thickness. Cutoff values for specific dental disorders were obtained after receiver operating characteristics (ROC)-curve analysis. RESULTS: Mandibular thickness was 0.43 ± Standard Error 0.21 mm [95% Confidence interval (CI) = 0.02-0.84 mm] higher at locations where interproximal gum recession was present (P = 0.039). Severe dental disease caused an increase in thickness of 1.90 mm (95% CI= 1.29-2.51 mm) (P < 0.001). Mandibular thickness with a cutoff of 19.4 mm showed a high accuracy for predicting severe dental disease (Se = 0.41; Sp = 0.92). Specifically, thickness at a level perpendicular to the medial canthus of the eye proved a more precise predictor for severe dental disease (AUC, 0.85; 95% CI 0.74-0.96; P < 0.001) with a lower cutoff of 18.5 mm and Sn and Sp of 0.52 and 0.82, respectively. MAIN LIMITATIONS: No radiographic or computed tomographic studies were available to support the diagnosis of dental and/or apical disease. CONCLUSION: Mandibular thickness measurements in alpacas can aid early detection of animals in need of specialized dental care. Most animals with an increased mandibular thickness suffer from advanced dental disease. However, routine dental examinations remain necessary to allow the early detection of dental disorders in alpacas.
format Online
Article
Text
id pubmed-8913036
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-89130362022-03-11 Mandibular Thickness Measurements as Predictive Tool for Specific Dental Disorders in Alpacas (Vicugna Pacos) Proost, Kirsten Pardon, Bart Vlaminck, Lieven Front Vet Sci Veterinary Science BACKGROUND: Oral health in alpacas is often neglected until severe dental disease becomes evident under the form of a pronounced mandibular swelling with or without fistulation. Mandibular thickness measurements might serve as an easy tool to screen for early increases in thickness thereby identifying alpacas which could benefit from an oral examination. OBJECTIVE: To study specific risk factors, including age, gender, level of performed measurements and dental disorders, associated with mandibular thickness in alpacas. To determine suitable cutoff values for mandibular thickness at specific locations for the development of a diagnostic test to identify animals with dental disorders. STUDY DESIGN: Cross-sectional study. METHODS: Mandibular thickness was measured at standardized locations in 216 alpacas using a Vernier caliper. Risk factors for an increased mandibular thickness were collected through oral examination in sedated animals and by interview of the respective owner. A multivariable linear mixed model was built to identify factors associated with mandibular thickness. Cutoff values for specific dental disorders were obtained after receiver operating characteristics (ROC)-curve analysis. RESULTS: Mandibular thickness was 0.43 ± Standard Error 0.21 mm [95% Confidence interval (CI) = 0.02-0.84 mm] higher at locations where interproximal gum recession was present (P = 0.039). Severe dental disease caused an increase in thickness of 1.90 mm (95% CI= 1.29-2.51 mm) (P < 0.001). Mandibular thickness with a cutoff of 19.4 mm showed a high accuracy for predicting severe dental disease (Se = 0.41; Sp = 0.92). Specifically, thickness at a level perpendicular to the medial canthus of the eye proved a more precise predictor for severe dental disease (AUC, 0.85; 95% CI 0.74-0.96; P < 0.001) with a lower cutoff of 18.5 mm and Sn and Sp of 0.52 and 0.82, respectively. MAIN LIMITATIONS: No radiographic or computed tomographic studies were available to support the diagnosis of dental and/or apical disease. CONCLUSION: Mandibular thickness measurements in alpacas can aid early detection of animals in need of specialized dental care. Most animals with an increased mandibular thickness suffer from advanced dental disease. However, routine dental examinations remain necessary to allow the early detection of dental disorders in alpacas. Frontiers Media S.A. 2022-02-24 /pmc/articles/PMC8913036/ /pubmed/35280147 http://dx.doi.org/10.3389/fvets.2022.817050 Text en Copyright © 2022 Proost, Pardon and Vlaminck. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Proost, Kirsten
Pardon, Bart
Vlaminck, Lieven
Mandibular Thickness Measurements as Predictive Tool for Specific Dental Disorders in Alpacas (Vicugna Pacos)
title Mandibular Thickness Measurements as Predictive Tool for Specific Dental Disorders in Alpacas (Vicugna Pacos)
title_full Mandibular Thickness Measurements as Predictive Tool for Specific Dental Disorders in Alpacas (Vicugna Pacos)
title_fullStr Mandibular Thickness Measurements as Predictive Tool for Specific Dental Disorders in Alpacas (Vicugna Pacos)
title_full_unstemmed Mandibular Thickness Measurements as Predictive Tool for Specific Dental Disorders in Alpacas (Vicugna Pacos)
title_short Mandibular Thickness Measurements as Predictive Tool for Specific Dental Disorders in Alpacas (Vicugna Pacos)
title_sort mandibular thickness measurements as predictive tool for specific dental disorders in alpacas (vicugna pacos)
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913036/
https://www.ncbi.nlm.nih.gov/pubmed/35280147
http://dx.doi.org/10.3389/fvets.2022.817050
work_keys_str_mv AT proostkirsten mandibularthicknessmeasurementsaspredictivetoolforspecificdentaldisordersinalpacasvicugnapacos
AT pardonbart mandibularthicknessmeasurementsaspredictivetoolforspecificdentaldisordersinalpacasvicugnapacos
AT vlamincklieven mandibularthicknessmeasurementsaspredictivetoolforspecificdentaldisordersinalpacasvicugnapacos