Diagnostics tests Flashcards

1
Q

Diagnosis

A

CLASSIFY animals as having disease or not

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2
Q

2 types of Diagnostic tests results

A

Dichotomous = 2 possible answer (- or +)

Continuous = continuum of possible answers

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3
Q

Hematology Diagnostic test measure

A

amount of different cell types in venous blood sample

          CBC, Differential blood count, PCV
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4
Q

Biochemical Diagnostic test measure

A

enzymes, metabolites, proteins in venous blood

       liver enzymes, BUN, CREA, amylase, lipase
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5
Q

Immunological Diagnostic test measure

A

antibodies (ELISA, IFA, Western blot, SNAP FIV/ E.cani)

use antibodies to detect antigen
SNAP FeLV / heartworm

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6
Q

FIV/FeLV snap tests detect

A

anti-FIV antibodies or FeLV antigens

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7
Q

Pathogen detection test

A

Detect pathogens itself (not antibodies against it)
present during infection with no time Lag

PCR detecting pathogen DNA/ RNA in clinical sample

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8
Q

How is decision of test made?

A

Cut off value is used which was determined experimentally as the test value that minimizes False +/ -

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9
Q

How to determine if test value is + / -

A

test a lot of individuals
proven to have disease or condition
proven to not have disease or condition

Define cut-off that best separates the two tested groups

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10
Q

False Positives

A

Non-disease animals that test positive (Sp issue)

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11
Q

False Negatives

A

Diseased animals that test negative (Se issue)

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12
Q

2 parameters of evaluating Diagnostic tests/

A

Sensitivity (Se) and Specificity (Sp)

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13
Q

Sensitivity (Se)

A

proportion of diseased animals that correctly test positive

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14
Q

Specificity (Sp)

A

Proportion of non-diseased animals that correctly test negative

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15
Q

Low specificity causes

A

contamination
mistake pathogen ID
animals with antibodies from vaccine (not infection)

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16
Q

SnOUT

A

highly sensitive test rules disease OUT
(NO false negatives)

    negative result from highly sensitive test is most likely 
                        from non-diseased animal 
                          (RULES OUT DZ)

false positive are possible if Sp is low

17
Q

T/F: Sensitivity tells you about how well the test performs on Non-diseases animals

A

False:

Doesn’t tell you a fucking thing about non-diseased

18
Q

Another way of saying Specificity

A

how often the test detects the things specifically intended to detect - Not healthy animals

19
Q

SpIN

A

highly specific test rules Disease IN

most positive results are from diseased

20
Q

75% Sp

A

correctly classifies 75% non diseased animals as negative

25% non diseased as positive (false positives)

21
Q

100% Sp

A

correctly classifies all non-diseased animals as negative
(if Se low than false negatives possible)

doesn’t tell you how well test performs on diseased animals

22
Q

What do you never want as test results?

A

False negatives

23
Q

How to test imported animals for infections?

A

test with High Se and only allow negative results to enter country

24
Q

maximize sensitivity when?

A

you need to detect ALL disease or infected animals

25
maximize Specificity when?
testing for very serious diseases with serious consequences
26
High Sp
correctly classify ALL non-diseased animals as negative
27
To accuratly detect all diseased and eliminate non diseased animals?
1st : high Se 2nd: high Sp
28
T/F: Se and Sp doesn't tell you the probability of + is truly disease PPV and NPV do this
True
29
PPV
Positive predictive Value answers my patient tested positive and probability it has disease only include true positives and false positives
30
NPV
Negative predictive value answers my patient tested negative and probability it doesn't have disease true negatives and false negatives
31
Se and Sp won't change if prevalence of disease in population changes
True
32
PPV and NPV will change as prevalence of disease in population changes
True