General Approach to Interpreting Abnormal Laboratory Results
The interpretation of abnormal laboratory results must always be done in the clinical context of the individual patient, with a systematic approach that begins with understanding the pre-test probability of disease and ends with determining clinical significance and appropriate follow-up. 1
Initial Assessment Framework
Understanding Reference Ranges
- Laboratory reference ranges are defined as the mean ± 2 standard deviations of a representative healthy population
- By definition, 2.5% of healthy individuals will have abnormal values for any given test 2
- A normal value does not completely exclude the presence of disease 2
Clinical Context Assessment
Detailed history:
- Age, ethnic origin, symptoms
- Comorbidities and family history
- Medication inventory (including vitamins, herbs, OTC drugs)
- Alcohol consumption
- Travel history and occupational exposures 1
Physical examination:
- Body mass index
- Targeted system examination
- Signs of specific disease processes 1
Risk factor assessment:
- Disease-specific risk factors
- Pre-test probability based on clinical presentation
Interpreting Abnormality Patterns
Degree of Abnormality
- Categorize results as:
- Critical values (requiring immediate intervention)
- Significant abnormalities (requiring targeted treatment/investigation)
- Borderline results (requiring monitoring or repeat testing) 1
Duration of Abnormality
- Transient abnormalities may resolve without intervention
- Persistent abnormalities (≥6 months) typically warrant additional evaluation 1
- When liver blood tests were repeated, 84% remained abnormal after 1 month and 75% remained abnormal after 2 years 1
Pattern Recognition
- Identify patterns suggestive of specific disease processes
- Example: For liver tests:
Diagnostic Decision Making
Algorithm vs. Directed Approach
- When clinical findings suggest specific diagnoses, evaluation should be directed toward establishing these diagnoses
- Algorithm approach is useful mainly when there are no clinical clues or when suspected diagnoses cannot be verified 2
Testing Strategy
- Initial testing: Basic panels appropriate to the clinical scenario
- Targeted testing: Based on initial results and clinical suspicion
- Specialized testing: For specific diagnoses when indicated 1
Follow-up Testing
- Repeat testing to confirm abnormalities
- Serial testing to evaluate trends
- Evaluate treatment effectiveness based on trend analysis rather than single values 1
Common Pitfalls to Avoid
Overreliance on laboratory values:
Ignoring clinical context:
- The degree of abnormality does not always reflect clinical significance
- Example: A patient with hepatitis A can have ALT values >1000 U/L but may recover completely, while a patient with hepatitis C can have normal ALT but risk progression to end-stage liver disease 1
False positives/negatives:
- Pre-analytical factors (sample collection, handling)
- Test performance limitations
- Inappropriate test ordering 5
Failure to consider demographic factors:
- Age, sex, and ethnicity can affect reference ranges 1
Inappropriate follow-up:
- Mild elevations may need noninvasive testing
- Marked or persistent elevations warrant more expeditious evaluation 1
Decision Points for Action
- Immediate referral: For unexplained clinical jaundice or suspicion of malignancy
- Expedited evaluation: For markedly elevated or persistent abnormalities
- Routine follow-up: For mild, isolated abnormalities with low clinical suspicion of serious disease 1
Remember that laboratory tests should only be ordered if results will have clinical consequences and improve patient assessment 5. The integration of history, physical examination, and laboratory findings remains the cornerstone of accurate diagnosis.