Data Interpretation Flashcards

1
Q

How do we get reference intervals?

A

Fluctuations in a healthy population

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2
Q

What is the definition of health in veterinary medicine?

A

Absence of disease

Wellbeing of the animal

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3
Q

What are the categories to define a population?

A

Species or breed

Age

Location

Climate

Season

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4
Q

In general, how much of the healthy population falls OUTSIDE the reference interval?

A

5%

(2 standard deviations from the mean)

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5
Q

What are the 3 phases errors occur in data interpretation?

A

Pre-analytical: before the sample gets to the analyzer. (most common source or error)

Analytical: issue with the machine

Post-analytical: uploading, transcription, interpretation

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6
Q

Instrument function, knowledge and training on the instrument, and manuals of standard operating procedure are all factors that can influence what phase of error in data interpretation?

A

Analyzer error

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7
Q

The probablility that a diseased patient tests positive for the disease is determined by the test’s ______.

A

Sensitivity

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8
Q

If a test is 99% sensitive, how many patients with the disease will test positive?

How many patients with the disease will test negative?

A

99 patients with the disease will test positive (true positive)

1 patient with the disease will test negative (false negative)

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9
Q

If 93 or 100 animals known to have a disease test positive for the disease, and 7 of 100 animals known to have a disease test negative for the disease, what is the sensitivity of the test used?

A

Sensitivity = TP/(TP + FN)

= 93/(93+7)

= 93% sensitivity

*True positives divided by all patients that HAVE the disease (true positives and false negatives)

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10
Q

The probability that a healthy patient tests negative for a disease refers to what feature of the test?

A

Specificity

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11
Q

If 87 of 100 healthy patients test negative for a disease, or 13 out of 100 healthy animals test positive, what is the specificity of the test?

A

Specificity = TN/(TN+FP)

=87/(13+87)

=87%

*Healthy patients (true negatives) / All animals that don’t have the disease (true negatives and false positives)

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12
Q

What is the formula for determining the the prevalence of a disease in a population?

A

Prevalence = (TP + FN)/ Entire Population

*All positives (true positives and false negatives) divided by the entire population.

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13
Q

Confidence in a positive test result is high is that test has a high ____ _____ ____.

A

Positive predictive value

*This test will have very few false positives

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14
Q

Confidence in a negative test result is high when the test has a high _____ _____ _____.

A

Negative predictive value

*This test will have very few false negatives

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15
Q
A
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