Lukkanawaraporn Yanisa, Tiangtas Nutnicha, Chaikornkij Vorapan, Nawapakpilai Patthamon, Areerat Sathita, Chundang Pipatpong, Lekcharoensuk Chalermpol, Kovitvadhi Attawit
Faculty of Veterinary Medicine, Kasetsart University, Bangkok 10900, Thailand.
Graduate School in Animal Health and Biomedical Science Program, Faculty of Veterinary Medicine, Kasetsart University, Bangkok 10900, Thailand.
Vet World. 2022 May;15(5):1314-1322. doi: 10.14202/vetworld.2022.1314-1322. Epub 2022 May 25.
Generally, rectal body temperature (BTrectum) is used to prefer as core body temperature in dogs. However, this procedure is time- and labor-consuming with stress induction. Therefore, infrared auricular temperature (BTear) and surface temperature (ST) could be applied to estimate BTrectum. This study aimed to estimate BTrectum from BTear or ST in various areas and determined the factors that influenced the accuracy of prediction equations.
Under controlled temperature (n=197) and ambient temperature (n=183), the parameters BTrectum, BTear, and ST at internal pinna, auricular canal, lateral aspect of shoulder, hip, axillary area, inguinal area, footpad, and anal area (STrectum) were measured. In addition, temperature and humidity levels of the surrounding environment were recorded. The correlation between each measurement technique was calculated. The BTrectum prediction equation was created using all measured data and several influencing factors (environmental condition, size, coat type, and body condition score [BCS]).
The highest correlation with BTrectum was observed for BTear (r=0.61, p<0.01), which was similar to STrectum (r=0.61, p<0.01). Based on multiple linear regression model results using BTrectum as the dependent variable, BTear or STrectum were first selected as independent variables in all estimation equations. Ambient temperatures (R=0.397), small breed (R=0.582), long hair (R=0.418), and/or a BCS of 2 (R=0.557) provided the highest coefficients of determination of the prediction equation.
The most appropriate predictors for estimating BTrectum were STrectum and BTear, which were impacted by the dog's signalments and the environment. To obtain satisfactory outcomes, the equation must be selected depending on the dog's signalments and the environmental conditions. However, based on the findings of this investigation, the accuracy remains low in several equations, and further studies are needed to improve the accuracy of the equation, mainly by increasing the sample size and developing a specific equation for each dog's signaling and environmental condition.
一般来说，直肠体温（BTrectum）被优先用作犬的核心体温。然而，该操作耗时且费力，还会引发应激。因此，红外耳温（BTear）和体表温度（ST）可用于估算BTrectum。本研究旨在通过不同部位的BTear或ST来估算BTrectum，并确定影响预测方程准确性的因素。
在可控温度（n = 197）和环境温度（n = 183）条件下，测量BTrectum、BTear以及耳廓内部、耳道、肩部外侧、髋部、腋窝、腹股沟、脚垫和肛门区域（STrectum）的ST参数。此外，记录周围环境的温度和湿度水平。计算每种测量技术之间的相关性。使用所有测量数据以及几个影响因素（环境条件、体型、被毛类型和身体状况评分[BCS]）创建BTrectum预测方程。
观察到BTear与BTrectum的相关性最高（r = 0.61，p < 0.01），这与STrectum相似（r = 0.61，p < 0.01）。基于以BTrectum作为因变量的多元线性回归模型结果，在所有估算方程中，BTear或STrectum首先被选作自变量。环境温度（R = 0.397）、小型犬（R = 0.582）、长毛（R = 0.418）和/或BCS为2（R = 0.557）在预测方程中提供了最高的决定系数。
估算BTrectum最合适的预测指标是STrectum和BTear，它们受犬的特征和环境影响。为获得满意结果，必须根据犬的特征和环境条件选择方程。然而，基于本研究结果，几个方程的准确性仍然较低，需要进一步研究以提高方程的准确性，主要是通过增加样本量并针对每种犬的特征和环境条件开发特定方程。
