Universidad Autónoma de Nuevo León, Monterrey, México Gastroenterology Service, Hospital Universitario "Dr. José E. González".
Universidad Autónoma de Nuevo León, Monterrey, México Endocrinology Service, Hospital Universitario "Dr. José E. González".
Ann Hepatol. 2017 Sep-Oct;16(5):788-796. doi: 10.5604/01.3001.0010.2797.
Adrenal insufficiency (AI) is common in patients with cirrhosis. We aimed to assess the presence of AI in stable patients with cirrhosis using the gold-standard insulin tolerance test (ITT) and to propose an algorithm for screening AI in these patients.
We studied 40 stable patients with cirrhosis. We determined the basal total (BTC) and peak cortisol (PTC) levels. Using the ITT, we defined AI as a serum PTC < 18 μg/dL at 30 min after insulin-induced hypoglycemia. We assessed the diagnostic accuracy of BTC in different stages of liver disease to discriminate between those with NAF and AI.
Of the 40 patients, 24 (60%) presented with AI. Child-Pugh and MELD scores differed between the NAF and AI groups (Child-Pugh: NAF 7.2 ± 1.7 vs. AI 8.8 ± 2.4, p = 0.024 and MELD: NAF 9.9 ± 2.5 vs. AI 14.9 ± 6.3, p = 0.001). The BTC level was lower in patients with AI than in those with NAF (7.2 ± 2.4 vs. 12.5 ± 5.2, p < 0.001). A BTC value ≤ 10.0 μg/dL had a 96% sensitivity (negative predictive value: 90%) for identifying AI. This cutoff value (BTC ≤ 10.0 μg/dL) provided 100% specificity (positive predictive value: 100%) in patients with advanced liver disease (Child-Pugh ≥ 9 or MELD ≥ 12).
An algorithm including the use of BTC and the severity of liver disease may be a useful and simple method for assessing adrenal function in stable patients with cirrhosis.
肾上腺功能不全(AI)在肝硬化患者中很常见。我们旨在使用金标准胰岛素耐量试验(ITT)评估稳定的肝硬化患者中 AI 的存在,并提出一种用于筛查这些患者 AI 的算法。
我们研究了 40 例稳定的肝硬化患者。我们测定了基础总(BTC)和峰值皮质醇(PTC)水平。使用 ITT,我们将胰岛素诱导的低血糖后 30 分钟时血清 PTC < 18μg/dL 定义为 AI。我们评估了 BTC 在不同肝病阶段的诊断准确性,以区分无 AI 和 AI 患者。
在 40 例患者中,有 24 例(60%)存在 AI。Child-Pugh 和 MELD 评分在无 AI 和 AI 组之间存在差异(Child-Pugh:无 AI 7.2±1.7 与 AI 8.8±2.4,p=0.024 和 MELD:无 AI 9.9±2.5 与 AI 14.9±6.3,p=0.001)。AI 患者的 BTC 水平低于无 AI 患者(7.2±2.4 与 12.5±5.2,p<0.001)。BTC 值≤10.0μg/dL 对识别 AI 具有 96%的敏感性(阴性预测值:90%)。该截断值(BTC≤10.0μg/dL)在肝功能严重受损(Child-Pugh≥9 或 MELD≥12)的患者中具有 100%的特异性(阳性预测值:100%)。
包括 BTC 和肝病严重程度的算法可能是评估稳定的肝硬化患者肾上腺功能的一种有用且简单的方法。