Increased Prevalence of Metabolic Syndrome in Patients with Acne Inversa
Increased Prevalence of Metabolic Syndrome in Patients with Acne Inversa
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DOI：
10.1371/journal.pone.0031810
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发表时间：
2012-02-16
期刊：
影响因子：
3.7
通讯作者：
Sterry, Wolfram
中科院分区：
文献类型：
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作者：
Sabat, Robert;Chanwangpong, Akewit;Sterry, Wolfram
背景：反常痤疮（AI；也称为化脓性汗腺炎）是一种常见的慢性炎症性皮肤病，位于腋窝、腹股沟和肛周皮肤区域，导致疼痛、瘘管性鼻窦，伴有恶臭化脓和疤痕。几种慢性炎症疾病与代谢综合征及其后果相关，包括动脉硬化、冠心病、心肌梗塞和中风。到目前为止，AI 与全身代谢改变的关联在很大程度上尚未被探索。 方法和结果：对 80 名 AI 患者和 100 名年龄和性别匹配的对照参与者进行了一项以医院为基础的病例对照研究。 AI 患者中心性肥胖（比值比 5.88）、高甘油三酯血症（比值比 2.24）、低 HDL 胆固醇血症（比值比 4.56）和高血糖（比值比 4.09）的患病率显着高于对照组。此外，代谢综合征（之前被定义为存在上述五种改变中的至少三种）与对照组相比，在这些患者中更为常见（40.0% 对比 13.0%；比值比 4.46，95% 置信区间 2.02 至 9.96；P < 0.001）。患有代谢综合征的 AI 患者也比患有代谢综合征的对照组有更明显的代谢改变。有趣的是，疾病的严重程度或持续时间与各个参数的水平或定义代谢综合征的标准数量之间没有相关性。相反，在年轻人工智能患者中观察到代谢综合征的比例异常高。结论：这项研究首次表明人工智能患者代谢综合征及其所有标准的患病率很高。它进一步表明人工智能患者中存在的炎症对代谢改变的发展没有重大影响。相反，有证据表明代谢改变在人工智能发展中的作用。我们建议监测人工智能患者，以纠正他们可改变的心血管危险因素。
Background: Acne inversa (AI; also designated as Hidradenitis suppurativa) is a common chronic inflammatory skin disease, localized in the axillary, inguinal and perianal skin areas that causes painful, fistulating sinuses with malodorous purulence and scars. Several chronic inflammatory diseases are associated with the metabolic syndrome and its consequences including arteriosclerosis, coronary heart disease, myocardial infraction, and stroke. So far, the association of AI with systemic metabolic alterations is largely unexplored.Methods and Findings: A hospital-based case-control study in 80 AI patients and 100 age- and sex-matched control participants was carried out. The prevalence of central obesity (odds ratio 5.88), hypertriglyceridemia (odds ratio 2.24), hypo-HDL-cholesterolemia (odds ratio 4.56), and hyperglycemia (odds ratio 4.09) in AI patients was significantly higher than in controls. Furthermore, the metabolic syndrome, previously defined as the presence of at least three of the five alterations listed above, was more common in those patients compared to controls (40.0% versus 13.0%; odds ratio 4.46, 95% confidence interval 2.02 to 9.96; P < 0.001). AI patients with metabolic syndrome also had more pronounced metabolic alterations than controls with metabolic syndrome. Interestingly, there was no correlation between the severity or duration of the disease and the levels of respective parameters or the number of criteria defining the metabolic syndrome. Rather, the metabolic syndrome was observed in a disproportionately high percentage of young AI patients.Conclusions: This study shows for the first time that AI patients have a high prevalence of the metabolic syndrome and all of its criteria. It further suggests that the inflammation present in AI patients does not have a major impact on the development of metabolic alterations. Instead, evidence is given for a role of metabolic alterations in the development of AI. We recommend monitoring of AI patients in order to correct their modifiable cardiovascular risk factors.