错误检测脱敏剂量在预防过敏反应。
Erroneous detection of desensitization doses in the prevention of hypersensitivity reactions.
机构信息
Department of Biomedical Sciences, Chonnam National University, Seoyang-ro 264, Hwasun, 58128, South Korea.
出版信息
BMC Res Notes. 2023 Feb 3;16(1):12. doi: 10.1186/s13104-023-06278-2.
BACKGROUND
Desensitization protocols have empirically established their efficacy and safety in eliminating most of the hypersensitivity reactions to drugs and other allergens. Without such procedures, the offending drugs can otherwise be lethal, for some patients, when singularly administered at therapeutic doses. These binding events and the subsequent signaling cascades have been extensively modulated by different desensitization methods, without any clear explanation as to why it is necessary to use increasing allergen doses.
PURPOSE
To use a novel theoretical approach in order to model the desensitization algorithms currently in practice, that seeks to shed light on the mechanism behind their clinical efficacy.
METHOD
An approach using signal processing concepts is applied in this work to introduce aliasing as the erroneous detection of higher drug doses responsible for the efficacy of desensitization procedures.
RESULTS
Available experimental data is modeled and correct predictions as to the efficacy of the drug treatment procedures are produced.
CONCLUSIONS
Desensitization algorithms may benefit from using concepts from signal processing theory in order to avoid hypersensitivity reactions.
背景
脱敏方案已通过经验证明其在消除大多数药物和其他过敏原过敏反应方面的有效性和安全性。对于某些患者来说，如果单独给予治疗剂量，否则没有这些程序，这些有问题的药物可能是致命的。这些结合事件和随后的信号级联已被不同的脱敏方法广泛调节，但是没有任何明确的解释说明为什么有必要使用递增的过敏原剂量。
目的
使用一种新的理论方法对目前实际应用的脱敏算法进行建模，以期阐明其临床疗效的机制。
方法
本研究采用信号处理概念的方法引入了混叠现象，即将更高剂量药物的错误检测误认为是脱敏程序疗效的原因。
结果
对现有实验数据进行了建模，并对药物治疗程序的疗效进行了正确的预测。
结论
脱敏算法可能受益于使用信号处理理论的概念，以避免过敏反应。
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