W1 - Reference Ranges, Sensitivity and Specificity

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Last updated 1:27 AM on 1/23/26
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27 Terms

1
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What is the basic reference range?

The expected range of values of an analyte in a healthy population

2
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What is the FULL definition of a reference range?

The statistically defined range of a constituent pattern or parameter measured in an adequate sample of subjects of specified age and sex in the absence of detectable disease and measured by a specified method

3
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What is the purpose of a reference range?

  • Help physician make a diagnosis

  • Monitor the disease progress

  • Used as a guide to therapy

  • To assess the health status of a patient

4
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What are some factors why each labs needs to establish their own reference values?

  • Age population

  • Sex

  • Race

  • Diet

  • Blood Group

  • Geographic location

  • ect

5
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What are the NCCLS guidelines in establishing a reference value?

  • A list of biological and analytical variable that might interfere with the test

  • Criteria for selecting well, normal individuals

  • Excluding subjects not meeting the criteria

  • Prepare subjects properly

  • Collect & handle specimens properly and consistently

  • Analyze specimen under well defined, controlled condition

  • Inspect resulting reference data and prepare a histogram

  • Select appropriate statistical methods and analyze the data

  • Document all steps above

6
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What is the test used to assess a Gaussian histogram?

Kolmogorov-Smirnov Test (KS Test)

7
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What is the minimum # of data needed for a gaussian distribution?

40 (Use ± SD as the reference interval)

8
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What is the minimum number of data for a nonparametric distribution?

120 (Use the mid 95% of results as the reference interval)

9
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What is True Positive? (TP)

A sick patient who has a positive test

10
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What is a True Negative (TN)?

A well patient has a negative test results

11
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What is a False Positive? (FP)

A well patient who has a positive test results

12
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What is False Negative (FN)?

A sick patient who has a negative test results

13
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What is sensitivity?

The % of sick patients who test positive

14
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What is Specificity?

The % of well people who test negative

15
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What is Predictive value(+)?

The probability that a positive test results predicts the patient has the disease

16
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What is Predictive value (-)?

The probability that a negative test results predicts the patient does not have the disease

17
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What is Efficiency?

The percent of test results that reflect the patients actual state of wellness or sickness

18
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What is the equation for efficiency?

E = ((TP+TN)/TOTAL)*100

19
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What is Prevalence (of disease)?

The number of people in a population having the disease

20
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What is the equation for prevalence?

P = ((TP + FN)/Total)*100

21
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When would you want the highest sensitivity?

  • When the disease is serious and should not be missed

  • When the disease is treatable

22
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When would you want the highest specificity?

  • When the disease is serious but not treatable or curable

  • Knowing the disease is absent has public health or psychological value

23
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What is the equation for sensitivity?

Sen = (TP/(TP+FN))*100

24
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What is the equation for Specificity?

Spec = (TN/TN+FP))*100

25
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What is the equation for predictive value (+)?

P(+) = (TP/(TP+FP))*100

26
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What is the equation for Predictive value (-)?

P(-) = (TN/(TN+FN))*100

27
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