Chem. Lab Rotation (QC and Cardiac) Flashcards
(clinical/diagnostic) Sensitivity vs. Specificity
Definition and calculation
“Diagnostic sensitivity” is the percentage of persons who have a given disorder who are identified by the assay as positive for the disorder.
TP / TP + FN
“Diagnostic specificity” is the percentage of persons who do not have a given condition who are identified by the assay as negative for the condition. False-positive reactions occur because of sample contamination and diminish the diagnostic specificity of the assay.
TN / FP + TN
Define positive and negative predictive value.
Predictive value of a positive test (PV+) – the proportion of positive
tests that represent disease:
TP/TP + FP (troponin)
Predictive value of a negative test (PV-) – the proportion of negative tests that represent lack of disease:
TN/TN + FN (D-dimer)
Deference between Efficiency and prevalence?
Efficiency – the proportion of tests that correctly classify the patient:
TP + TN / TP + FP + TN + FN
Prevalence – the proportion of the tested population with the disease:
TP + FN / TP + FP + TN + FN
Define reference range.
- normal values
- what is most prevalent in a reference group taken from the general population.
- range of values for a physiologic measurement in healthy persons
- It is a basis for comparison (a frame of reference) for a physician or other health professional to interpret a set of test results for a particular patient.
How is the following calculated?
median
mode
SD
CV
Median: middle number
Mode: number that appears the most
SD: square root of the variance
CV: (SD/mean) x 100
Variance: [Σ( xi - mean)2] / n-1 (sample variance) **** just N for population variance
T-test (come back to it)
come back to answer later
What percentage of a normally distributed population will fall between 1, 2, and 3 standard deviations from the mean?
one SD: 68.2%
two SD: 95.5%
three SD? 99.7%
Describe the path of workflow for chemistry samples.
Discuss the use of Westgard rules used in QC and describe how they helpdetermine whether a problem concerns accuracy and/or precision.
Series of rules to evaluate control performance
Decision criteria chosen to maximize efficiency
decreased false rejection of assays (Pfr)
increased detection of true error increase (Ped)
Rules differentiate between increases in random and systematic error
1-2s Rule
One control exceeds a control limit of : mean + 2s OR mean – 2s
Considered only a warning rule. Failure of this rule alone does not reject the assay.
1-3s Rule
One control exceeds a control limit of: mean + 3s OR mean – 3s
In the absence of other violations, it suggests an increase in random error.
2-2s Rule
Two simultaneous or consecutive control values exceed the same control limit of
mean + 2s OR mean – 2s
Can apply to both controls in the same run or the same control in consecutive runs
2-2s violation suggests an increase in systematic error
R-4s Rule
The range between two control observations within a run exceeds 4s.
Violation of this rule suggests an increase in random error.
4-1 s Rule
Four consecutive control observations exceed the same control limit:
mean + 1s OR mean – 1s
Can apply to last four assays of one control or last two assays of two controls.
Violation of this rule suggests a persistent moderate systematic error.
10x Rule
Ten consecutive control observations fall on the same side of the mean.
Rule applies to last 10 assays of one control or last 5 assays for both of two controls
Violation of this rule suggests a long-standing systematic error