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Precision Medicine: The Role of the MSIDS Model in Defining Diagnosing and Treating Chronic Lyme Disease/Post Treatment Lyme Disease Syndrome and Other Chronic Illness: Part 2

机译:精密医学:MSIDS模型在定义诊断和治疗慢性莱姆病/治疗后莱姆病综合征和其他慢性病中的作用:第2部分

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摘要

We present a precision medical perspective to assist in the definition, diagnosis, and management of Post Treatment Lyme Disease Syndrome (PTLDS)/chronic Lyme disease. PTLDS represents a small subset of patients treated for an erythema migrans (EM) rash with persistent or recurrent symptoms and functional decline. The larger population with chronic Lyme disease is less understood and well defined. Multiple Systemic Infectious Disease Syndrome (MSIDS) is a multifactorial model for treating chronic disease(s), which identifies up to 16 overlapping sources of inflammation and their downstream effects. A patient symptom survey and a retrospective chart review of 200 patients was therefore performed on those patients with chronic Lyme disease/PTLDS to identify those variables on the MSIDS model with the greatest potential effect on regaining health. Results indicate that dapsone combination therapy decreased the severity of eight major Lyme symptoms, and multiple sources of inflammation (other infections, immune dysfunction, autoimmunity, food allergies/sensitivities, leaky gut, mineral deficiencies, environmental toxins with detoxification problems, and sleep disorders) along with downstream effects of inflammation may all affect chronic symptomatology. In part two of our observational study and review paper, we postulate that the use of this model can represent an important and needed paradigm shift in the diagnosis and treatment of chronic disease.
机译:我们提出了一种精确的医学观点,以协助治疗后莱姆病综合征(PTLDS)/慢性莱姆病的定义,诊断和管理。 PTLDS代表一小部分患有持续性或复发性症状以及功能下降的红斑偏头痛(EM)皮疹患者。患有慢性莱姆病的较大人群了解较少,定义明确。多系统性传染病综合症(MSIDS)是用于治疗慢性疾病的多因素模型,可识别多达16个重叠的炎症源及其下游影响。因此,对那些患有慢性莱姆病/ PTLDS的患者进行了患者症状调查和200例患者的回顾性图表回顾,以鉴定MSIDS模型中对恢复健康影响最大的那些变量。结果表明氨苯砜联合疗法可降低八种主要莱姆病症状的严重性,并减轻多种炎症源(其他感染,免疫功能低下,自身免疫,食物过敏/敏感性,肠道漏水,矿物质缺乏,具有排毒问题的环境毒素和睡眠障碍)炎症的下游影响都可能影响慢性症状。在我们的观察性研究和综述论文的第二部分中,我们假设该模型的使用可以代表慢性疾病的诊断和治疗中的重要且必要的范例转变。

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