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一种用于在断奶前奶牛犊牛场诊断牛呼吸道疾病的新型临床评分系统的开发。

Development of a novel clinical scoring system for on-farm diagnosis of bovine respiratory disease in pre-weaned dairy calves.

机构信息

Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California - Davis , Tulare, CA , USA.

Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California - Davis , Tulare, CA , USA ; Department of Population Health and Reproduction, School of Veterinary Medicine, University of California - Davis , Davis, CA , USA.

出版信息

PeerJ. 2014 Jan 2;2:e238. doi: 10.7717/peerj.238. eCollection 2014.

Abstract

Several clinical scoring systems for diagnosis of bovine respiratory disease (BRD) in calves have been proposed. However, such systems were based on subjective judgment, rather than statistical methods, to weight scores. Data from a pair-matched case-control study on a California calf raising facility was used to develop three novel scoring systems to diagnose BRD in preweaned dairy calves. Disease status was assigned using both clinical signs and diagnostic test results for BRD-associated pathogens. Regression coefficients were used to weight score values. The systems presented use nasal and ocular discharge, rectal temperature, ear and head carriage, coughing, and respiratory quality as predictors. The systems developed in this research utilize fewer severity categories of clinical signs, require less calf handling, and had excellent agreement (Kappa > 0.8) when compared to an earlier scoring system. The first scoring system dichotomized all clinical predictors but required inducing a cough. The second scoring system removed induced cough as a clinical abnormality but required distinguishing between three levels of nasal discharge severity. The third system removed induced cough and forced a dichotomized variable for nasal discharge. The first system presented in this study used the following predictors and assigned values: coughing (induced or spontaneous coughing, 2 points), nasal discharge (any discharge, 3 points), ocular discharge (any discharge, 2 points), ear and head carriage (ear droop or head tilt, 5 points), fever (≥39.2°C or 102.5°F, 2 points), and respiratory quality (abnormal respiration, 2 points). Calves were categorized "BRD positive" if their total score was ≥4. This system correctly classified 95.4% cases and 88.6% controls. The second presented system categorized the predictors and assigned weights as follows: coughing (spontaneous only, 2 points), mild nasal discharge (unilateral, serous, or watery discharge, 3 points), moderate to severe nasal discharge (bilateral, cloudy, mucoid, mucopurlent, or copious discharge, 5 points), ocular discharge (any discharge, 1 point), ear and head carriage (ear droop or head tilt, 5 points), fever (≥39.2°C, 2 points), and respiratory quality (abnormal respiration, 2 points). Calves were categorized "BRD positive" if their total score was ≥4. This system correctly classified 89.3% cases and 92.8% controls. The third presented system used the following predictors and scores: coughing (spontaneous only, 2 points), nasal discharge (any, 4 points), ocular discharge (any, 2 points), ear and head carriage (ear droop or head tilt, 5 points), fever (≥39.2°C, 2 points), and respiratory quality (abnormal respiration, 2 points). Calves were categorized "BRD positive" if their total score was ≥5. This system correctly classified 89.4% cases and 90.8% controls. Each of the proposed systems offer few levels of clinical signs and data-based weights for on-farm diagnosis of BRD in dairy calves.

摘要

已经提出了几种用于诊断犊牛呼吸疾病 (BRD) 的临床评分系统。然而,这些系统是基于主观判断,而不是统计方法来加权评分。使用加利福尼亚州一家奶牛养殖场的配对病例对照研究的数据,开发了三种新的评分系统,用于诊断未断奶奶牛的 BRD。疾病状态是使用与 BRD 相关病原体的临床症状和诊断测试结果来确定的。回归系数用于加权评分值。所提出的系统使用鼻腔和眼部分泌物、直肠温度、耳朵和头部姿势、咳嗽和呼吸质量作为预测因子。这些系统使用较少的临床症状严重程度类别,需要较少的犊牛处理,并且与早期的评分系统相比具有出色的一致性(Kappa > 0.8)。第一个评分系统对所有临床预测因子进行了二分法,但需要诱导咳嗽。第二个评分系统将诱导咳嗽作为一种临床异常排除在外,但需要区分三种严重程度的鼻腔分泌物。第三个系统排除了诱导咳嗽并强制对鼻腔分泌物进行二分变量。本研究中提出的第一个系统使用以下预测因子并分配值:咳嗽(诱导或自发性咳嗽,2 分)、鼻腔分泌物(任何分泌物,3 分)、眼部分泌物(任何分泌物,2 分)、耳朵和头部姿势(耳朵下垂或头部倾斜,5 分)、发烧(≥39.2°C 或 102.5°F,2 分)和呼吸质量(异常呼吸,2 分)。如果总得分≥4,则将小牛归类为“BRD 阳性”。该系统正确分类了 95.4%的病例和 88.6%的对照。第二个提出的系统对预测因子进行分类并分配权重如下:咳嗽(仅自发性,2 分)、轻度鼻腔分泌物(单侧、浆液性或水样分泌物,3 分)、中度至重度鼻腔分泌物(双侧、混浊、黏液、黏液脓性或大量分泌物,5 分)、眼部分泌物(任何分泌物,1 分)、耳朵和头部姿势(耳朵下垂或头部倾斜,5 分)、发烧(≥39.2°C,2 分)和呼吸质量(异常呼吸,2 分)。如果总得分≥4,则将小牛归类为“BRD 阳性”。该系统正确分类了 89.3%的病例和 92.8%的对照。第三个提出的系统使用以下预测因子和分数:咳嗽(仅自发性,2 分)、鼻腔分泌物(任何,4 分)、眼部分泌物(任何,2 分)、耳朵和头部姿势(耳朵下垂或头部倾斜,5 分)、发烧(≥39.2°C,2 分)和呼吸质量(异常呼吸,2 分)。如果总得分≥5,则将小牛归类为“BRD 阳性”。该系统正确分类了 89.4%的病例和 90.8%的对照。所提出的每个系统都为农场诊断奶牛 BRD 提供了少量的临床症状水平和基于数据的权重。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1fc/3898311/e62ef34ee350/peerj-02-238-g001.jpg

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