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Algorithm for Screening of Adrenal Function in Stable Patients with Cirrhosis

Jonathan Paz-Delgadillo, Roberto Monreal-Robles, Jesús Z. Villarreal-Pérez, Fernando J. Lavalle-González, Héctor J. Maldonado-Garza, Francisco J. Bosques-Padilla

Abstract

Introduction and aims. 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. Material and methods. 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. Results. 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). Conclusion. 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.

Key words. Adrenal insufficiency., Hepato-adrenal syndrome., Liver cirrosis., Insulin tolerance test., Cortisol.

Article Metrics

The Official Journal of the Mexican Association of Hepatology, the Latin-American Association for the Study of the Liver and the Canadian Association for the Study of the Liver

ALEH Hepatología CASL ACEF Médica Sur
Index Copernicus PubMed

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