Diagnostic Tests Flashcards

1
Q

diagnosis

A

classify animals as having a disease (or other health related state) or not

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2
Q

uses of diagnostic tests

A

clinical medicine: treatment and prognosis

surveillance: identify changes in disease status

international trade: keep infected animals out

research: identify and monitor research subjects

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3
Q

Dichotomous tests

A

only 2 possible answers

positive or negative

e.g radiographs, MRI, PM

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4
Q

continuous tests

A

continuum of possible answers, still need to classify as positive or negative

e.g serum chemistry, antibody titers, CBC

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5
Q

hematology diagnostic tests

A

measures amount of different cell types in a venous blood sample

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6
Q

biochemical diagnostic tests

A

measures enzymes, metabolites, proteins, etc-usually in venous blood sample

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7
Q

immunological diagnostic tests

A

use antigen to measure antibodies or vice versa

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8
Q

example of immunologic tests

A

SNAP FIV/FeLV

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9
Q

pathogen detection tests

A

detects the pathogen itself (or specific parts of it)

ex: microscopy, culture, virus isolation, PCR

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10
Q

T/F some test for epidemiological investigations “fingerprint” pathogens or discriminate infected from vaccinated animals (DIVA)

A

true

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11
Q

T/F usually cant measure the disease itself

A

true

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12
Q

what is measured?

A

‘something’ (chemical, antigen, etc) that is present in a certain quantity when an animal has a certain disease/underlying pathogen

test value

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13
Q

how do diagnostic tests work?

A

sample taken –> test is run and test value is produced –> decision i (+/-) is made by test or diagnostician (test result)

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14
Q

cut off value

A

determine experimentally as the value that minimizes false positive/ false negative results

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15
Q

T/F usually there is a clear separation in the test values between diseased and non diseased

A

false

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16
Q

T/F some non-diseased animals may have higher test values than some of the disease and vice versa

A

true

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17
Q

T/F can have false positives/negatives

A

true

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18
Q

True positive

A

diseased animal that tests positive

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19
Q

true negative

A

non-diseased animal that tests negative

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20
Q

false negative

A

diseased animal that test negative

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21
Q

false positive

A

non-diseased animal that tests positive

22
Q

how are gold standard tests used

A

true disease status of individuals is often determined using a gold standard test, against which the performance of a new test is evaluated

23
Q

disadvantages of gold standard test

A

labor intensive, impractical, highly invasive, slow and/or expensive

24
Q

every test is evaluated by how accurately it classifies:

A

diseased individuals as test positive

non-diseased individuals as test negative

25
how to evaluate a test
test group of disease animals test a group of non-diseased animals establish a cut-off value
26
what are the 2 parameters to evaluate diagnostic test
sensitivity (Se) Specificity (Sp)
27
diseased animals are used to determine
sensitivity (of the new test)
28
non diseased animals are used to determine
specificity (of the new test)
29
T/F Se and Sp are proportions
true
30
determining sensitivity
test a group of diseased animals proportion of diseased animals that the test correctly classifies as positive
31
what are some factors that can cause sensitivity to be low?
few/small amounts of whatever the test measures samples are degraded before testing
32
T/F a sensitivity of 100% has no false negatives
true classifies all diseased animals as positive
33
In a low Se test (75%)
25% of diseased not detected and are false negatives
34
T/F Se doesn't tell us anything about how well the test performs on non-diseased animals
true
35
determining Sp
test a group of non-diseased animals proportion of non-diseased animals that the test correctly classifies as negative
36
what are some factors that can cause specificity to be low?
cross-reactivity (mistakenly identified as another) samples are contaminated
37
T/F high SP (100%) has no false positives
true correctly classifies all non-diseased animals as negative
38
in a low Sp test (75%)
25% of non- diseased animals classified as positive (false positive)
39
T/F Sp doesnt tell you anything about how well the test performs on diseased animals
true
40
what is a balanced test
Equal Se and Sp equally misclassifies diseased and non-diseased
41
SnNOut
sensitive test when Negative rules disease Out **correctly classifies ALL diseased animals as POSITIVE**
42
SpPIn
Specific test when Positive rules disease in **remember-looks at non-diseased animals so if positive can't rule it out**
43
T/F test with 100% sensitivity will have no false negatives but may have false positives if Sp is low
true any negative results are from non-diseased animals
44
T/F test with 100% specificity will have no false positive results but may have false negatives with low Se
true any positive results are from diseased animals (rules it in)
45
maximize sensitivity when:
need to detect all diseased or infected animals
46
maximize specificity when:
cost of false positive is high and dont care if there are lot of false negatives ex: need to cull positive animals
47
how to use Sp and Se in series
1st test: high Se - detects most/ all of diseased animals in population - negatives are true negatives 2nd test: high Sp - test all that tested positive on the first test - all test positives from second test are true positives (eliminates false positives from the first test)
48
T/F Se and Sp tell you the probability that an animals which tests positive is truly diseased
false tells you the probability of a diseased animal testing positive or non-diseased testing negative
49
PPV
positive predictive value true positive/test positives
50
NPV
negative predictive value true negative/test negatives
51
how to calculate Se
true positives/ (true positives = false neagtives)
52
how to calculate Sp
true negatives/ (true negatives + false positives)