Treating liver disease in the avian patient

The liver plays a major role in the body's metabolism and, as such, is subject to a multitude of insults-infectious, toxic, metabolic, nutritional, traumatic, and neoplastic. Consequently, liver disease is not uncommon in avian and other exotic patients. As diagnostic modalities (and our experience in using them and interpreting them) improve, veterinarian are becoming more aware of the presence of (often subclinical) liver disease in their patients, and often of the specific nature of that disease. Through new research, veterinarians also are more able to appreciate the liver's unique function and metabolism and the role it plays in the function of the body as a whole. This understanding has led to a better awareness of how the liver responds to disease, and this has allowed refinements in the treatment of diseased and damaged livers. However, treating liver disease is not just about treating the organ; the patient as a whole must be supported and treated until a successful resolution has been achieved. Treatment therefore must be aimed at supporting the patient, treating the specific condition, and creating an environment that allows the liver to heal and regenerate. This article briefly reviews the anatomy and physiology of the liver and how it responds to insult. Treatment of liver disease then is discussed using the aims described above. (C) 2004 Elsevier Inc. All rights reserved.

Leximancer concept mapping of patient case studies

Quantitative databases are limited to information identified as important by their creators, while databases containing natural language are limited by our ability to analyze large unstructured bodies of text. Leximancer is a tool that uses semantic mapping to develop concept maps from natural language. We have applied Leximancer to educational based pathology case notes to demonstrate how real patient records or databases of case studies could be analyzed to identify unique relationships. We then discuss how such analysis could be used to conduct quantitative analysis from databases such as the Coronary Heart Disease Database.