2017, Number 5
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Ann Hepatol 2017; 16 (5)
Algorithm for Screening of Adrenal Function in Stable Patients with Cirrhosis
Paz-Delgadillo J, Monreal-Robles R, Villarreal-Pérez JZ, Lavalle-González FJ, Maldonado-Garza HJ, Bosques-Padilla FJ
Language: English
References: 37
Page: 788-796
PDF size: 201.35 Kb.
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.
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