首页> 外文期刊>Acta medica Okayama >A Diagnostic Algorithm for Eosinophilic Granulomatosis with Polyangiitis Initially Diagnosed as Lumbar Disc Hernia or Lumbar Spinal Stenosis: Personal Experience and Review of the Literature
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A Diagnostic Algorithm for Eosinophilic Granulomatosis with Polyangiitis Initially Diagnosed as Lumbar Disc Hernia or Lumbar Spinal Stenosis: Personal Experience and Review of the Literature

机译:最初诊断为腰椎间盘疝或腰椎管狭窄的嗜酸性肉芽肿合并多血管炎的诊断算法:个人经验和文献复习

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Eosinophilic granulomatosis with polyangiitis (EGPA, Churg-Strauss syndrome) is a rare systemic vasculitis and is difficult to diagnose. EGPA has a number of symptoms including peripheral dysesthesia caused by mononeuropathy multiplex, which is similar to radiculopathy due to lumbar disc hernia or lumbar spinal stenosis. Therefore, EGPA patients with mononeuropathy multiplex often visit orthopedic clinics, but orthopedic doctors and spine neurosurgeons have limited experience in diagnosing EGPA because of its rarity. We report a consecutive series of patients who were initially diagnosed as having lumbar disc hernia or lumbar spinal stenosis by at least 2 medical institutions from March 2006 to April 2013 but whose final diagnosis was EGPA. All patients had past histories of asthma or eosinophilic pneumonia, and four out of five had peripheral edema. Laboratory data showed abnormally increased eosinophil counts, and nerve conduction studies of all patients revealed axonal damage patterns. All patients recovered from paralysis to a functional level after high-dose steroid treatment. We shortened the duration of diagnosis from 49 days to one day by adopting a diagnostic algorithm after experiencing the first case.
机译:嗜酸性肉芽肿合并多血管炎(EGPA,Churg-Strauss综合征)是一种罕见的全身性血管炎,难以诊断。 EGPA具有多种症状,包括多发性单神经病引起的周围感觉异常,这与由于腰椎间盘突出症或腰椎管狭窄引起的神经根病相似。因此,患有多发性单神经病的EGPA患者经常去骨科门诊,但是骨科医师和脊柱神经外科医生因其稀有性而在诊断EGPA方面经验有限。我们报告了从2006年3月至2013年4月,至少有两家医疗机构连续诊断出最初患有腰椎间盘突出症或腰椎管狭窄症的患者,但最终诊断为EGPA。所有患者都有哮喘或嗜酸性粒细胞性肺炎的既往史,五分之四的患者有周围性水肿。实验室数据显示嗜酸性粒细胞计数异常增加,所有患者的神经传导研究均显示轴突损伤模式。大剂量类固醇治疗后,所有患者均从瘫痪恢复至功能水平。遇到第一例病例后,我们采用诊断算法将诊断时间从49天缩短到了一天。

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