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Predictive Factors of Adrenal Insufficiency in Outpatients with Indeterminate Serum Cortisol Levels: A Retrospective Study

机译:血清皮质醇水平不确定的门诊患者肾上腺功能不全的预测因素:一项回顾性研究

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摘要

: To diagnose adrenal insufficiency (AI), adrenocorticotropic hormone (ACTH) stimulation tests may need to be performed, but those tests may not be available in some institutions. In addition, they may not be necessary for some patients. The objective of this study was to identify clinical and biochemical factors that could facilitate AI diagnosis in outpatient departments and decrease the number of unnecessary dynamic tests. : This seven-year retrospective study was performed in a tertiary care medical center. A total of 517 patients who had undergone ACTH stimulation tests in the outpatient department were identified. AI was described as a peak serum cortisol level of <18 µg/dL at 30 or 60 min after stimulation. The associations between clinical factors, biochemical factors, and AI were analyzed using the Poisson regression model and reported by the risk ratio (RR). : AI was identified in 128 patients (24.7%). Significant predictive factors for the diagnosis of AI were chronic kidney disease (RR = 2.52, < 0.001), Cushingoid appearance (RR = 3.44, < 0.001), nausea and/or vomiting (RR = 1.84, = 0.003), fatigue (RR = 1.23, < 0.001), serum basal cortisol <9 µg/dL (RR = 3.36, < 0.001), serum cholesterol <150 mg/dL (RR = 1.26, < 0.001), and serum sodium <135 mEq/L (RR = 1.09, = 0.001). The predictive ability of the model was 83% based on the area under the curve. : The easy-to-obtain clinical and biochemical factors identified may facilitate AI diagnosis and help identify patients with suspected AI. Using these factors in clinical practice may also reduce the number of nonessential dynamic tests for AI.
机译::要诊断肾上腺功能不全(AI),可能需要进行促肾上腺皮质激素(ACTH)刺激试验,但某些机构可能未提供这些试验。另外,对于某些患者可能不需要。这项研究的目的是确定可以促进门诊AI诊断并减少不必要的动态测试次数的临床和生化因素。 :这项为期7年的回顾性研究是在三级医疗中心进行的。确定了总共517名在门诊部接受过ACTH刺激测试的患者。 AI被描述为刺激后30或60分钟时血清皮质醇的峰值水平<18 µg / dL。使用Poisson回归模型分析了临床因素,生化因素和AI之间的关联,并通过风险比(RR)进行了报告。 :在128例患者中检出了AI(24.7%)。诊断AI的重要预测因素是慢性肾脏疾病(RR = 2.52,<0.001),类库形外观(RR = 3.44,<0.001),恶心和/或呕吐(RR = 1.84,= 0.003),疲劳(RR = 1.23,<0.001),血清基础皮质醇<9 µg / dL(RR = 3.36,<0.001),血清胆固醇<150 mg / dL(RR = 1.26,<0.001),血清钠<135 mEq / L(RR = 1.09,= 0.001)。基于曲线下的面积,模型的预测能力为83%。 :已确定的易于获得的临床和生化因素可能有助于AI诊断,并有助于识别疑似AI的患者。在临床实践中使用这些因素还可以减少AI不必要的动态测试次数。

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