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Evaluation of abnormal liver tests
1Division of Gastroenterology and Hepatology, University of Arkansas for Medical Sciences and Central Arkansas Veterans Healthcare System, Little Rock, Arkansas, USA.
Clinical Cornerstone
|August 15, 2001
Summary
Serum liver tests are crucial for diagnosing liver conditions but often indicate damage, not true function. This review clarifies common tests and offers an algorithm for interpreting abnormal liver enzyme results.
Area of Science:
- Hepatology
- Clinical Biochemistry
- Diagnostic Medicine
Background:
- Serum liver tests are vital for evaluating hepatic disease but frequently misinterpret hepatocellular damage as impaired liver function.
- The term "liver function tests" is misleading; most assays measure liver cell injury rather than actual liver function.
- True indicators of liver function include albumin synthesis, clotting factor production, and drug metabolism capacity.
Purpose of the Study:
- To clarify the distinction between hepatocellular damage markers and true liver function tests.
- To review patterns of elevated liver enzymes in various liver diseases.
- To present an algorithm for the diagnostic evaluation of abnormal liver test results.
Main Methods:
- Review of common automated liver test panels, including bilirubin, aminotransferases, alkaline phosphatase, and gamma-glutamyl transpeptidase.
- Analysis of diagnostic patterns associated with elevated enzyme values in liver diseases.
- Development of a clinical algorithm for interpreting abnormal liver test results.
Main Results:
- Commonly ordered "liver function tests" primarily reflect hepatocellular damage.
- Specific patterns of elevated enzymes can suggest particular liver diseases, but limitations exist.
- An algorithm is proposed to guide the systematic evaluation of abnormal liver test results.
Conclusions:
- Distinguishing between liver damage markers and true liver function tests is essential for accurate diagnosis.
- Interpreting elevated liver enzymes requires understanding their diagnostic limitations.
- A structured approach, such as the proposed algorithm, can improve the evaluation of patients with abnormal liver tests.