狗氏病复发:通过混合效应物流回归识别的风险因素
Juliana Sarquis1, Letícia Martins Raposo2, Carolina R Sanz1
1Animal Health Department, Faculty of Veterinary Medicine, Complutense University of Madrid, Madrid, Spain.
Parasites & vectors
|August 22, 2024
概括
狗雷什曼尼病 (CanL) 复发与更高的临床得分和特定的血液变化有关. 早期检测危险因素,如蛋白质缺血和贫血,对于有效治疗至关重要.
科学领域:
- 兽医寄生虫学 兽医寄生虫学
- 狗的传染病 狗的传染病
- 生物统计学 生物统计学
背景情况:
- 由Leishmania infantum引起的犬类莱什曼尼病 (CanL) 是一种具有动物感染潜力的狗的重大载体传播疾病.
- 管理慢性和复发性CanL带来了相当大的挑战.
- 在CanL复发预测中的数学建模应用仍未得到充分探索.
研究的目的:
- 为了确定与CanL.狗的疾病复发相关的临床病理风险因素.
- 开发犬类莱什曼病复发需要治疗的预测模型.
主要方法:
- 一项回顾性研究分析了54只自然获得的L. infantum感染的狗的数据.
- 用两个物流混合效应模型来评估临床病理学变量.
- 逆向淘汰被用来改进模型,在R软件中进行分析.
主要成果:
- 较高的临床分数 (CS) 增加了需要莱什曼尼cidal 治疗的几率.
- 增加的白蛋白/血球蛋白 (A/G) 比率降低了需要治疗的几率.
- 高IFAT标位,高β-环球蛋白血症,低蛋白血症,贫血和升高的CS与复发风险增加有关.
结论:
- 狗具有较高的CS,蛋白质缺血,贫血和高IFAT标位面临着更高的CanL复发的风险,需要治疗.
- 定期监测这些风险因素对于早期复发检测和干预至关重要.
- 量身定制的管理策略对于改善CanL案件的结果至关重要.
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