Potential application of herbal medicine treatment based on pattern identification for canine cognitive dysfunctional syndrome: a comparative analysis of Korea medicine therapy for patients with dementia

Q4 Veterinary
K. Jung, HuiYan Zhao, Yujin Choi, Jung-Hee Jang
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引用次数: 0

Abstract

Canine cognitive dysfunction syndrome (CDS) is a neurodegenerative disease that causes cognitive and behavioral disorders and reduces the quality of life in dogs and their guardians. This study reviewed the complementary and alternative medicine (CAM) for CDS and compared the diagnosis and therapy of CAM between CDS in canines and dementia in humans. The evaluation tools for the diagnosis of CDS and dementia were similar in the neurological and neuropsychiatric examinations, daily life activity, cognitive tests, and neuroimaging, but the evaluation for dementia was further subdivided. In CAM, pattern identification is a diagnostic method for accurate, personalized treatment, such as herbal medicine. For herbal medicine treatment of cognitive impairment in canines and humans, a similar pattern identification classified as deficiency (Qi, blood, and Yin) and Excess (phlegm, Qi stagnation, and blood stasis) is being used. However, the veterinary clinical basis for verifying the efficacy and safety of CAM therapies for CDS is limited. Therefore, based on CAM evidence in dementia, it is necessary to establish CDS-targeted CAM diagnostic methods and therapeutic techniques considering the anatomical, physiological, and pathological characteristics of dogs.
基于模式识别的草药治疗犬认知功能障碍的潜在应用:韩国药物治疗痴呆患者的比较分析
犬类认知功能障碍综合征(CDS)是一种神经退行性疾病,会导致犬类及其监护人的认知和行为障碍,并降低其生活质量。本研究综述了补充和替代医学(CAM)对CDS的治疗,并比较了犬CDS和人类痴呆的CAM诊断和治疗。诊断CDS和痴呆的评估工具在神经和神经精神检查、日常生活活动、认知测试和神经影像学方面相似,但对痴呆的评估进一步细分。在CAM中,模式识别是一种准确、个性化治疗的诊断方法,如草药治疗。对于犬类和人类认知障碍的草药治疗,正在使用类似的模式识别,分为虚(气、血、阴)和虚(痰、气、瘀)。然而,验证CAM治疗CDS的有效性和安全性的兽医临床基础有限。因此,基于痴呆的CAM证据,有必要结合犬的解剖、生理和病理特点,建立针对cds的CAM诊断方法和治疗技术。
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来源期刊
Korean Journal of Veterinary Research
Korean Journal of Veterinary Research Veterinary-Veterinary (all)
CiteScore
0.50
自引率
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