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Predicting the onset of bullous pemphigoid with co-morbidities: A survey based on a nationwide medical database

机译:预测并发大疱性天疱疮的发病率:基于全国医学数据库的一项调查

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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:大疱性类天疱疮(BP)是一种急性或慢性自身免疫性皮肤病。据报道,在BP患者中观察到总体健康状况不佳和死亡率增加,而这些现象的病理生理原因值得进一步研究。在本文中,我们尝试使用全国性的基于人口的医学数据库NHIRD,研究大疱性类天疱疮与各种疾病之间的共病关联。从NHIRD中提取了5,933名年龄≥18岁的成年BP患者,并伴有17,712名年龄和性别相匹配的对照受试者。从Charlson或Elixhauser指数中选择了31种疾病,我们试图评估它们与BP的相关性。获得的结果表明,BP与多种疾病之间存在并存关系,尤其是偏瘫/截瘫(几率[OR] 8.71),痴呆(OR 8.04),体液电解质紊乱(OR 6.6),脑血管疾病(OR 5.97) ),中度/重度肝病(OR 5.22),体重减轻(OR 4.9)和精神病(OR 4.64)。此外,以研究队列为输入数据,并以BP发病前24个月内发生的上述合并症的回顾性诊断记录为特征,采用支持向量机(SVM)算法生成预测模型。 BP发作后。被预测模型标记为阳性的受试者实际发展为BP的可能性比阴性的受试者高约9倍。因此,由SVM创建的预测模型对于医生筛查具有较高BP风险的患者非常有价值。

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