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Predicting the Onset of Bullous Pemphigoid with Co-morbidities A Survey Based on a Nationwide Medical Database

机译:通过基于全国范围的医疗数据库的调查,预测大疱的Pephigoid的发病

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Bullous pemphigoid (BP) is an acute or chronic autoimmune skin disease. It has been reported that poor conditions of general health and increased mortality rates were observed in BP patients, while pathophysiologic reasons of these phenomena merit further investigation yet. In this paper we tried to investigate the co-morbid associations between bullous pemphigoid and various diseases, using a nationwide population-based medical database, NHIRD. 5,933 adult BP patients of ages >= 18 years were extracted from the NHIRD, accompanied with 17,712 age- and sex-matched control subjects. Thirty-one disorders were selected from the Charlson or Elixhauser index for which we tried to evaluate their respective associations with BP. The results obtained revealed that there existed co-morbid relationships between BP and various illnesses, especially for hemiplegia/paraplegia (odds ratio [OR] 8.71), dementia (OR 8.04), fluid electrolyte disorders (OR 6.6), cerebrovascular disease (OR 5.97), moderate/severe liver disease (OR 5.22), weight loss (OR 4.9), and psychoses (OR 4.64). Furthermore, using the study cohort as input data and the retrospective diagnosis records of the above-mentioned co-morbidities occurring within 24 months before onset of BP as features, we employed the algorithm of support vector machine (SVM) to generate the prediction model for onset of BP afterward. Subjects labeled as positive by the prediction model were about 9 times more likely than those as negative to actually develop BP. Accordingly, the prediction model created by SVM was valuable for physicians to screen patients with higher risk of BP.
机译:大疱的猪(BP)是一种急性或慢性自身免疫皮肤病。据报道,在BP患者中观察到一般健康状况和增加的死亡率较差,而这些现象的病理生理原因尚未进一步调查。在本文中,我们试图使用全国基于人口的医学数据库,努力研究大疱性毒物和各种疾病之间的共同病态联想。 5,933岁的成年BP患者> = 18岁是从纳尔中提取的,伴有17,712岁和性别匹配的对策。从Charlson或Elixhauser指数中选择了三十一条疾病,我们试图评估其与BP各自的协会。得到的结果表明,BP和各种疾病之间存在共同的关系,特别是对于偏瘫/截瘫(差异[或] 8.71),痴呆(或8.04),流体电解质病症(或6.6),脑血管疾病(或5.97) ),中/严重肝病(或5.22),减肥(或4.9),和精神(或4.64)。此外,使用研究群组作为输入数据和在24个月内发生的上述共生命条件的回顾性诊断记录,以在BP的24个月内发生,我们采用了支持向量机(SVM)的算法来生成预测模型之后的BP发作。被预测模型标记为阳性的受试者比实际开发BP的原实物的原点更可能是较小的9倍。因此,SVM产生的预测模型对于医生对筛选BP风险较高的患者有价值。

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