Characteristics of lab tests
-A result may be skewed to outside the normal range based on a variety of factors: age, gender, race, fasting, menstrual cycle, time of day
-Diseases w/ low prevalence will have fewer TP and more FP
-Pre-test probability (prevalence) is the number of people who have the disease over the total population studied: TP+FN/total
-Predictive value negative is how many people studied that were negative truly are negative: TN/TN+FN (total negatives)
-Predictive value positive is how many people studied that were positive truly are positive:
TP/TP+FP (total positives)
-Sensitivity is how well the test can detect someone w/ the disease: TP/TP+FN (total w/ disease)
-Specificity is how well the test can detect someone w/out the disease: TN/TN+FP (total w/out disease)
Discovery test
- Should have high sensitivity (low FN) because you want to catch every person w/ the disease
Confirmatory test
- Should have 0 FP (100% specificity) b/c want to make sure every positive test is truly positive for confirmation
Exclusion test
- Should have 0 FN (100% sensitivity) b/c want to make sure every negative test is truly negative for exclusion
Coefficient of variation (CV)
- CV = (st. dev/mean) x100
Isoenzymes
Acute pancreatitis
Acute myocardial infarct (AMI)
Serologic tests for hepatitis
Tests for Hep A Virus (HAV)
Tests for Hep B Virus (HBV)
Tests for Hep C Virus (HCV)
How to go about testing for hepatitis
Applications of tumor markers
Substances secreted by cancers
CEA as a tumor marker
AFP as a tumor marker
PSA as a tumor marker
Cancers causing increase in Ca and PO4
Cancer Ags
Tumors associated w/ hypercalcemia
Tumors secreting PTHrP
Metastatic CA to bone
Cushing’s syndrome