Macro-Aspartate Aminotransferase and Its Laboratory Detection: A Case Report.

Background: Increased enzyme activity in human blood serum is usually associated with the existence of disease. On the other hand, enzyme activity can also be elevated in the presence of benign conditions, such as macro-enzymes. Macro-enzymes could lead to highly unnecessary and invasive procedures which may cause complications to the patient and an extra cost for the hospital. Therefore, it is important to diagnose this condition in order to avoid unnecessary clinical tests. Case Presentation: We present a case of a 71-year-old asymptomatic female with persistent elevation of AST who was referred to our hospital for additional testing for underlying liver disease. By using polyethylene glycol (PEG) precipitation assay, we were able to identify macro-AST. This helped to avoid the high-risk liver biopsy procedure. Conclusion: In the case of an isolated elevation of AST activity with no clinical indications of liver disease, diagnostic work-up for macro-AST should always be considered by physicians.

Evaluation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for the patients in the intensive care unit.

INTRODUCTION: Delirium not only compromises patient care, but is also associated with poorer outcomes: increased duration of mechanical ventilation, higher mortality, and greater long-term cognitive dysfunction. The PRE-DELIRIC model is a tool used to calculate the risk of the development of delirium. The classification of the patients into groups by risk allows efficient initiation of preventive measures. The goal of this study was to validate the PRE-DELIRIC model using the CAM-ICU (The Confusion Assessment Method for the Intensive Care Unit) method for the diagnosis of delirium. MATERIALS AND METHODS: Patients admitted to the University Hospital of Vilnius during February 2015 were enrolled. Every day, data were collected for APACHE-II and PRE-DELIRIC scores. Out of 167 patients, 38 (23%) were included and screened using the CAM-ICU method within 24 hours of admission to the ICU. We defined patients as having delirium when they had at least one positive CAM-ICU screening or haloperidol administration due to sedation. To validate the PRE-DELIRIC model, we calculated the area under receiver operating characteristic curve. RESULTS: The mean age of the patients was 69.2 ± 17.2 years, 19 (50%) were male, APACHE-II mean score 18.0 ± 7.4 points. Delirium was diagnosed in 22 (58%) of 38 patients. Data used for validation of the PRE-DELIRIC model resulted in an area under the curve of 0.713 (p < 0.05, 95% CI 0.539-0.887); sensitivity and specificity for the patients with 20% risk were, accordingly, 77.3% and 50%; 40% risk - 45.5% and 81.3%, 60% - 36.4%, and 87.5%. CONCLUSIONS: The PRE-DELIRIC model predicted delirium in the patients within 24 hours of admission to the ICU. Preventive therapy could be efficiently targeted at high-risk patients if both of the methods are to be implemented.