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筛查 2 型糖尿病患者亚临床库欣综合征:夜间唾液皮质醇检测假阳性率低。

Screening for subclinical Cushing's syndrome in type 2 diabetes mellitus: low false-positive rates with nocturnal salivary cortisol.

机构信息

School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.

出版信息

Horm Metab Res. 2010 Apr;42(4):280-4. doi: 10.1055/s-0029-1246191. Epub 2010 Jan 29.

Abstract

The diagnosis of subclinical Cushing's syndrome (SCS) is important, but its relative rarity amongst patients with common metabolic disorders requires a simple test with a low false-positive rate. Using nocturnal salivary cortisol (NSC), which we first validated in patients with suspected and proven Cushing's syndrome, we screened 106 overweight patients with type 2 diabetes mellitus, a group at high risk of SCS and nontumoral hypothalamic-pituitary-adrenal axis perturbations. Our hypothesis was that a lower false-positive rate with NSC was likely, compared with that reported with the dexamethasone suppression test (DST) (10-20%), currently the foundation of diagnosis of SCS. No participant had clinically apparent Cushing's syndrome. Three participants had an elevated NSC but further testing excluded SCS. In this study, NSC had a lower false-positive rate (3%) than previously reported for the DST. Given the reported excellent performance of NSC in detection of hypercortisolism, the low false-positive rate in SCS suggests NSC may be superior to the DST for SCS screening. The NSC and DST should be compared directly in metabolic disorder patients; although our data suggest the patient group will need to be substantially larger to definitively determine the optimal screening test.

摘要

亚临床库欣综合征(SCS)的诊断很重要,但在患有常见代谢紊乱的患者中,其相对罕见性需要一种具有低假阳性率的简单测试。我们首先在疑似和确诊库欣综合征患者中验证了夜间唾液皮质醇(NSC),使用该方法对 106 名超重 2 型糖尿病患者进行了筛查,这些患者处于 SCS 和非肿瘤性下丘脑-垂体-肾上腺轴紊乱的高风险中。我们的假设是,与目前诊断 SCS 的基础——地塞米松抑制试验(DST)(10-20%)相比,NSC 的假阳性率可能更低。没有参与者出现明显的库欣综合征。有 3 名参与者的 NSC 升高,但进一步的检查排除了 SCS。在这项研究中,NSC 的假阳性率(3%)低于之前报道的 DST。鉴于 NSC 在检测皮质醇过多方面的出色表现,SCS 的低假阳性率表明,NSC 可能优于 DST 用于 SCS 筛查。应在代谢紊乱患者中直接比较 NSC 和 DST;尽管我们的数据表明,需要有更大的患者群体才能确定最佳的筛查试验。

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