Intro to Lab Medicine Med Terms Flashcards
Reference Range
range of values within a population of people who do NOT have a given disease
- upper and lower limits
- usually central 95% (5% of people without disease fall outside of reference range)
- aka standard range or “normal range”
Desirable Range
- prognosis-related ranges
- associate laboratory results with clinical outcomes
Therapeutic Range
- measures effectiveness of medication
- screens for possible toxicity due to medication
Threshold
for certain lab tests, presence of disease is associated with a value above a given THRESHOLD
- there can be overlap in values between those with disease and those without disease
Sensitivity
focuses on population of individuals who have the diseases**
- capacity to identify individuals with the disease
- many screening tests have high sensitivity (low diagnostic threshold), which leads to potential for false positives
Sensitive Test
low diagnostic threshold (higher false positives)
- detects disease in people who have it, but may be + in healthy people (false positive)
Specificity
focuses on population of individuals without the disease
- everyone without the disease would have a negative result in an effective test
Specific Test
high diagnostic threshold (higher false negatives)
- healthy people have a normal/negative result, but may miss the disease in someone who has it (false negative)
Positive Predictive Value
focuses on people with a + test result
- likelihood that a positive test result identifies someone WITH the disease
- ex: TB test in a community with a lot of TB cases
Negative Predictive Value
focuses on people with a - test result
- likelihood that a negative test result identifies someone WITHOUT the disease
- ex: D-dimer for pulmonary embolism
Prevalence
number of existing cases in a population
- usually expressed as a % of the population
- ex: 48% of American adults have hypertension (high BP)
Incidence
number of new cases occurring within a period of time
- usually within one year
-ex: sore throat (many new cases each year!)
Reasons for Ordering Lab Tests
- Diagnosis of disease -> proper treatment
- Monitoring of Disease/Interventions
- Screening for Disease
- Research
bottom line: answering clinical questions
Questions to Ask Before Ordering Lab Tests
- Why is this test being ordered?
- What are the consequences of not ordering the test?
- How good is the test in discriminating between health vs disease?
- How are the test results interpreted?
- How will the test results influence patient management and outcome?
Laboratory Testing Cycle
- Pre-Analytic Phase
- Analytic Phase
- Post-Analytic Phase
Pre-Analytic Phase
where prepping and getting the sample occurs
most errors occur in this stage of testing process
ways to avoid errors:
- ask the right questions
- use the right supplies
- label a sample correctly
- handle and transport sample correctly
- obtain proper quantity of sample
- order the test properly
Factors Impacting Test Results
- Biological: age, sex
- Behavioral: diet, BMI, smoking, alcohol intake, caffeine intake, exercise, stress
- Clinical: diseases, drug therapy, pregnancy
- Specimen Collection & Handling
Hypothesis Deduction
use H&P to formulate differential diagnosis, then select labs likely to confirm a diagnosis
Pattern Recognition
comparing patient’s pattern for results for several laboratory tests
- medical algorithms
- logical and sequential
- maximize clinician’s efficiency
- can minimize ordering unnecessary tests
Rifle vs Shotgun Approach
A. Rifle: ordering a specific test based on diagnostic accuracy and predictive value
B. Shotgun: indiscriminately order a large number of tests
Clinical Diagnosis is based on…
- Thorough hx and physical exam
- Pt demographics
- Dz incidence and prevalence
- Critical thinking
- Pattern recognition
- Diagnostic tests/labs (only if needed)
Best Practices
- if there is a screening test available order that first (usually cheaper)
- limit tests to those relevant to patient’s presentation
- avoid taking blood fro someone already very sick
- unnecessary tests can lead to more testing!