Assessment of the Accuracy of Visual Weight Estimates of Cats

A. Steele, S. Nguyen, S. Hefferan, R. Kreisler
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Abstract

Visual estimation of cat weight is commonly performed during trap-neuter-return (TNR) events where cats are brought in humane traps of various models with differing weights. These cats are typically asocial and cannot be safely handled before the induction of anesthesia. Weight estimate accuracy is important since it determines the anesthetic induction dose. This study measured the accuracy of the visual weight estimates made by various veterinary professionals involved in the program, including a veterinarian, veterinary students of all years, and several veterinary technicians, and explored whether there were variables that systematically predicted percent deviation of estimate from actual weight.  Subjects estimated the weight and noted the posture (standing, sitting, crouching, laying). Cat demographics, including actual weight (kg), body condition score (BCS), coat color, solid or patterned coat, sex and pregnancy status were recorded. Age was not considered due to the correlation with weight. Accuracy was measured as the percent of estimates within 20% (PW20) and 10% (PW10). Linear regression clustered on cat was used to evaluate whether cat posture or demographic variables were associated with the percent deviation between estimated and actual weight. Potential association between the deviation and student experience as measured by student year, previous technician experience, and experience with TNRs was evaluated using linear regression.  A total of 315 cats and 647 estimates were evaluated for this study from 5 TNR clinics held at Midwestern University between May 2022 and October 2022. A veterinarian provided 142 visual weight estimates, veterinary students 310, and a veterinary technician 195. The median weight was 2.7 kg (IQR 2.0-3.5). Veterinarians had a PW20/PW10 of 54%/32%, veterinary students 43%/23%, and veterinary technicians 35%/16%. Heavier cats tended to be underestimated, while lighter cats tended to be overestimated. The percent deviation decreased by 15% (95% CI -18 to -12%) per kg from a high of 45% at 1 kg, crossing 0% at approximately 4 kg, then decreasing to -43% at 7 kg. The mean difference, which did not vary by the actual weight, was 0.5 kg (SD 0.8) for cats under 3.5 kg. At weights of 3.5 or greater, the difference decreased by -0.9 kg for each additional kg of actual weight. There were several predictors of percent deviation from actual weight. The weight of female cats tended to be overestimated by 9% (95% CI 1-16%, P = 0.020), females that were pregnant underestimated by 22% (-39 to -5%), and cats with a BCS less than 5 overestimated by 10% (95% CI 2-18%, P = 0.012). There was no significant systematic variation by cat posture, color or coat pattern. Student experience did not significantly impact the deviation in their estimates. As measured by the PW20 and PW10, the veterinarian was the most accurate at visual weight estimates, although only slightly more than half of the cats were estimated within 20%. There were predictors of percent deviation, but those predictors are often only determined after anesthesia is induced. Difference between estimated and actual weights for cats under 3.5 kg was similar, with the larger difference in percent deviation for lighter cats being due to the smaller denominator of the actual weight. Cats over 3.5 kg tended to be underestimated in weight, with both difference and deviation increasing.    
猫的视觉体重估计的准确性评估
猫体重的视觉估计通常在陷阱-中性-返回(TNR)事件中进行,在这些事件中,猫被带到不同重量的各种型号的人道陷阱中。这些猫通常是不合群的,在麻醉诱导之前不能安全地处理。体重估计的准确性很重要,因为它决定了麻醉诱导剂量。本研究测量了参与该项目的各种兽医专业人员(包括一名兽医、所有年级的兽医学生和几名兽医技术人员)所做的视觉体重估计的准确性,并探讨是否存在变量系统地预测估计体重与实际体重的百分比偏差。受试者估计体重并记录姿势(站、坐、蹲、躺)。记录猫的人口统计数据,包括实际体重(kg)、身体状况评分(BCS)、被毛颜色、纯色或花纹被毛、性别和怀孕状况。由于与体重相关,年龄没有被考虑在内。准确度测量为20% (PW20)和10% (PW10)内估计的百分比。使用聚类猫的线性回归来评估猫的姿势或人口统计学变量是否与估计体重和实际体重之间的百分比偏差有关。使用线性回归评估偏差与学生经验之间的潜在关联,以学生年级、以前的技术人员经验和tnr经验来衡量。在2022年5月至2022年10月期间,在中西部大学的5个TNR诊所共评估了315只猫和647只估计数。一名兽医提供了142个视觉体重估计,兽医学生提供了310个,兽医技术人员提供了195个。中位体重为2.7 kg (IQR 2.0-3.5)。兽医的PW20/PW10分别为54%/32%,兽医学生为43%/23%,兽医技师为35%/16%。较重的猫往往被低估了,而较轻的猫往往被高估了。每公斤的百分比偏差从1公斤时的45%下降了15% (95% CI -18至-12%),在大约4公斤时越过0%,然后在7公斤时下降到-43%。对于体重低于3.5公斤的猫,平均差异为0.5公斤(标准差0.8),不随实际体重变化。在重量为3.5或更大时,实际重量每增加一公斤,差值就减少-0.9公斤。有几个预测百分比偏离实际体重。母猫的体重往往被高估9% (95% CI 1-16%, P = 0.020),怀孕的母猫体重被低估22%(- 39%至-5%),BCS小于5的猫体重被高估10% (95% CI 2-18%, P = 0.012)。猫的姿势、颜色或皮毛图案没有明显的系统性变化。学生的经历对他们的估计偏差没有显著影响。根据PW20和PW10的测量,兽医在视觉体重估计上是最准确的,尽管只有略多于一半的猫的估计在20%以内。有预测偏差的百分比,但这些预测通常只有在麻醉诱导后才确定。体重在3.5公斤以下的猫的估计体重和实际体重之间的差异是相似的,体重较轻的猫的百分比偏差差异较大,是因为实际体重的分母较小。超过3.5公斤的猫在体重上往往被低估,差异和偏差都在增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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