兽医隔离单位中猫传染病的统计分类模型:猫免疫缺陷病毒和白血病病毒的案例。

IF 2.3 2区 农林科学 Q2 VETERINARY SCIENCES
Miguel M Maximino, Inês C Machado, Telmo P Nunes, Luís M Tavares, Virgílio S Almeida, Solange A Gil, Nuno Sepúlveda
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引用次数: 0

摘要

兽医医院的隔离病房对管理传染病至关重要,但人员、设备和预算资源有限,难以及时分诊。在这种情况下,数据驱动的模型,如果经过高质量数据的训练并具有良好的准确性,可能是在对不明确的病例部署更昂贵的诊断之前快速和低成本的第一步。在这项研究中,我们旨在利用常规收集的葡萄牙生物隔离和收容单元(BICU)收治的1211只猫的数据,构建两种常见猫感染的简单分类模型,其中640只符合分析条件。我们的研究重点是由猫免疫缺陷病毒和白血病病毒(FIV和FeLV)引起的感染,因为它们有可能诱导免疫抑制并增加对继发性疾病的易感性。我们的模型训练基于134只fiv血清阳性猫、126只felv血清阳性猫和504只经快速免疫迁移试验和ELISA诊断为这些感染的确诊非病例(即对照组)的数据。FIV感染的重要分诊因素包括年龄较大、户外活动和伴随疾病,而FeLV感染的主要分诊因素是混血状态、伴随疾病和低红细胞压积。模型显示,FIV和FeLV感染的受试者工作特征曲线下面积分别为0.70和0.69,敏感性和特异性估计在≥65%以上。这一性能远未达到90%以上的灵敏度和特异性,促使进一步研究寻找其他分类因素以提高模型的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Triage Model for Feline Infectious Diseases in a Veterinary Isolation Unit: The Case of Feline Immunodeficiency and Leukemia Viruses.

Isolation units in veterinary hospitals are essential for managing infectious diseases, but limited resources in staff, equipment and budget make timely triage difficult. In this scenario, data-driven models, if trained with high-quality data and presenting good accuracy, might be a rapid and low-cost first step before more costly diagnostics are deployed to unclear cases. In this study, we aimed at constructing simple triage models for two common feline infections using routine-collected data from 1211 cats admitted to a Biological Isolation and Containment Unit (BICU) in Portugal, of which 640 were eligible for analysis. Our study focused on infections caused by Feline Immunodeficiency and Leukemia viruses (FIV and FeLV) due to their potential to induce immunosuppression and increased susceptibility to secondary diseases. Our model training was based on data from 134 FIV-seropositive cats, 126 FeLV-seropositive, and 504 confirmed non-cases (i.e., controls) of these infections diagnosed by rapid immunomigration assays and ELISA. Significant triage factors of FIV infections included older age, outdoor access, and concomitant disorders whereas, for FeLV, infections, they were mixed-breed status, concomitant conditions, and low hematocrit. The models showed areas under the receiver operating characteristic curve of 0.70 and 0.69 for FIV and FeLV infections, respectively, with sensitivities and specificities estimated above ≥65%. This performance, being far from sensitivities and specificities above 90%, motivates further research to find additional triage factors to improve model utility.

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来源期刊
Veterinary Sciences
Veterinary Sciences VETERINARY SCIENCES-
CiteScore
2.90
自引率
8.30%
发文量
612
审稿时长
6 weeks
期刊介绍: Veterinary Sciences is an international and interdisciplinary scholarly open access journal. It publishes original that are relevant to any field of veterinary sciences, including prevention, diagnosis and treatment of disease, disorder and injury in animals. This journal covers almost all topics related to animal health and veterinary medicine. Research fields of interest include but are not limited to: anaesthesiology anatomy bacteriology biochemistry cardiology dentistry dermatology embryology endocrinology epidemiology genetics histology immunology microbiology molecular biology mycology neurobiology oncology ophthalmology parasitology pathology pharmacology physiology radiology surgery theriogenology toxicology virology.
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