Refernce Interval Flashcards

1
Q

When interpreting laboratory data, clinicians compare the measured test result from a patient with a ________

A

reference interval.

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2
Q

The theory for the development of reference intervals was the work of

A

2 main expert committees

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3
Q

These committees established 4 things which are?

A

the importance of standardizing collection procedures,

the use of statistical methods for analysis of reference values

estimation of reference intervals

the selection of reference populations.

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4
Q

Reference interval is defined as?
Example, the reference interval for glucose is?

The lower value is referred to as the ______ and the upper limit is referred to as the ______

A

A pair of medical decision points that span the limits of results expected for a given condition.

3.5mmoles/L to 5.6 mmoles/L.

lower reference limit
Upper reference limit

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5
Q

The upper and lower reference limits are set to include a specified percentage _______ of the values for a population
This means that a percentage ______ of patients will?

A

(usually 95%)

Usually 5%

fall outside of the reference interval in the absence of any condition or disease.

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6
Q

Reference intervals are sometimes erroneously referred to as?

All _____ are ______ but not all _____ are ______

A

Normal ranges

While all normal ranges are in fact reference intervals, not all reference intervals are normal ranges.

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7
Q

Reference intervals are sometimes referred to as?;

A

reference ranges;
the preferred term is reference interval because range implies the absolute maximum and minimum values

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8
Q

Reference intervals are usually established by the _______ or the _______

A

scientific community or
the manufacturers of reagents and new methodologies.

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9
Q

The clinical laboratory is required by good laboratory practice and accreditation agencies (eg? checklist)
to either verify or establish reference intervals for any new tests or significant changes in methodology.

A

College of American Pathologists [CAP]

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10
Q

The two main types of reference interval studies that are reviewed in this lecture are

A

(1) establishing a reference interval

(2) verifying a reference interval.

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11
Q

Establishing a reference interval: A new reference interval is established when there is no _____or _______ in the clinical or reference laboratory with which to ________

It is a costly and labor-intensive study that will involve laboratory resources at all levels and may require from _____ to ____study individuals.

A

no existing analyte or methodology
conduct comparative studies.

120 to as many as >700

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12
Q

Verifying a reference interval aka

This is done to confirm ______ for an analyte using the same (identical) type of analytic system (method and/or instrument).

These are the most common reference interval studies performed in the clinical laboratory and can require as few as ___ study individuals

A

Transference

the validity of an existing reference interval

20

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13
Q

CLSI means

A

Clinical and Laboratory Standards Institute

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14
Q

When possible, clinical laboratories rely on _________or ___________to determine reference intervals.
This avoids the expensive and lengthy process of establishing a reference range interval on a minimum of 120 healthy people.

A

assay manufacturers or on published primary literature

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15
Q

The CLSI allows less vigorous studies to verify a reference interval with as few as 20 subject specimens.
Method verification studies can be used if________& _________ are similar to the vendor’s reference data and package insert information.

A

the test method and study subjects

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16
Q

The main assumption in using transference studies is that ______ & _______ are similar.

A

the reference method is of high quality and the subject populations

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17
Q

The manufacturer’s reported 95% reference limits may be considered valid if no more than ____of the tested subjects fall outside the original reported limits
If more than _% of the values fall outside of the proposed interval, an additional ___ or more specimens should be analyzed.

A

10%

20

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18
Q

If the second attempt at verification fails, the laboratorian should re-examine the analytic procedure and identify any differences between ________&________[

A

the laboratory’s population and the population used by the manufacturer for their analysis.

If no differences are identified, the laboratory may need to establish the reference interval using at least 120 individuals.
Once a reference interval is determined, it needs to be communicated to the physicians interpreting test results at the time the test results are reported.
This is important given the slight variations in reference intervals seen even among testing facilities using similar methodologies.

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19
Q

To establish a reference range study
10 things must be done. These are

A
  1. Define an appropriate list of biological variations and analytic interferences from medical literature.
  2. Choose selection and partition (e.g., age or gender) criteria.
  3. Complete a written consent form and question-naire to caoture selection criteria.
  4. Categorize the potential reference individuals based on the questionnaire findings.
  5. Exclude individuals from the reference sample group based on exclusion criteria.
  6. Define the number of reference individuals in consideration of desired confidence limits and statistical accuracy.
  7. Standardize collection and analysis of reference specimens for the measurement ot a given analyte consistent with the routine practice of patients
  8. Inspect the reterence value data and prepare a histogram to evaluate the distribution of data.
  9. Identify possible data errors and/or outliers and then analyze the reference values.
  10. Document all of the previously mentioned steps and procedures
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20
Q

Possible exclusion factors for a reference interval study

A

Fasting or nonfasting
Genetic factors
Drugs: prescription or over the counter
Pregnancy
Illiness, recent
Exercise pattern

21
Q

Possible subgroups requiring partitions for a reference interval study

A

Age (adult and childhood)
Fasting or nonfasting
Diet
Stage of pregnancy
Sex
Tobacco use

22
Q

Pre analytical considerations for reference interval studies

A

Subject preparation
Prescription medications
Collection time
Sample storage
Stress
Food/beverage ingestion

23
Q

Analytical considerations for reference interval studies

A

Precision
Accuracy
Lot-to-lot reagents
Linearity
Interference
Recovery

24
Q

The reference interval is calculated statistically using methods that depend on the distribution of the data.
In the most basic sense, data may be either be _______ or _______. With aka

A

normally distributed (gaussian)

skewed (nongaussian)

25
Q

If reference data are normally distributed, the reference interval can be determined using a _____method.

A

parametric

26
Q

A parametric method defines the interval by the mean

this formula will include the central 95% of values as given in the example shown.
In reality, most analytes do not display a normal (gaussian) distribution.

A

+/- 1.96 SDs;

27
Q

Data that are not normally distributed (i.e., nongaussian) must be analyzed using _____ analyses.

A

nonparametric

28
Q

Nonparametric determination of the reference interval is analyzed using?, which do not depend on the distribution.

The reference interval is determined by using the central 95% of values; the reference range is therefore defined by _____to ______percentiles.

A

Percentages

the 2.5th to the 97.5th

29
Q

To calculate the interval, values are ranked from lowest to highest and the 2.5th and 97.5th percentiles are then calculated as follows:

A

n= number of reference specimens

2.5th percentile = 0.025(n+1)

97.5th percentile = 0.975(n+1)

30
Q

Most reference interval analyses are determined using ______ analysis.
Why?

A

nonparametric

This is because nonparametric analysis can be used on gaussian distributed data and it is the CLSI-recommended method

31
Q

With the development of statistical software packages such as(list 6) reference intervals are rarely determined manually.
However, it is important to understand how basic statistical concepts are used by the software to generate their analyses.

A

EP Evaluator,
MedCalc,
GraphPad Prism,
Minitab,
JMP, and
SAS/STAT,

32
Q

Measures of Center
The three most commonly used descriptions of the center are the ? Define them

A

mean, the median, and the mode.

The mean is most commonly used and often referred to as the average.
The median is the “middle” point of the data and is often used with skewed data.
The mode value that occurs the most frequently

33
Q

The mode is rarely used as a measure of the data’s center but is more often used to describe data that seem to have _____

A

two centers (i.e., bimodal).

34
Q

Mean is calculated by

A

Summing the observations/ number of observations

35
Q

The median is the middle of the data after

A

the data have been rank ordered.
It is the value that divides the data in half.

For example, given a sample of 5, 4, 6, 5, 3, 7, and 5, rank order the points: 3, 4, 5, 5, 5, 6, 7. Because there are an odd number of values in the sample, select the middle value: 5.

Given another sample with an even number of values: 5, 4, 6, 8, 9, and 7, again rank order the points: 4, 5, 6, 7, 8, 9. Select the two “middle” values: 6 and 7. Then add them: 6 +7= 13; and divide by 2: 13/2= 6.5.

36
Q

The mode is the?

A

most frequently occurring value in a dataset.

Although it is seldom used to describe data, it is referred to when in reference to the shape of data, a bimodal distribution, for example.

In the sample: 3, 4, 5, 5, 5, 6, and 7, the value that occurs most often is 5. The mode of this set is then 5.

37
Q

After describing the center of the dataset, it is very useful to indicate how the data are distributed (spread).
This is known as

A

Measure of Dispersion

38
Q

The spread represents the relationship of all the ______ to the _____

There are three most commonly used descriptions of spread:

A

data points to the mean.

1) range,
(2) Standard deviation(S.D),
(3) coefficient of variation (CV).

39
Q

The range is simply?

A

the largest value in the data minus the smallest value, which represents the extremes of data one might encounter.

40
Q

Standard deviation (also referred to as ____,_____,_____)

It is the________ measure of variation.

A

“s,” SD, or σ

most frequently used

41
Q

SD describes?.
Formula for SD:

A

the distribution of all data points around the mean

Square root of summation of (individuals - mean)2
/
n-1

42
Q

Another way of expressing SD is in terms of the CV.

A

Coefficient variation

43
Q

The CV is calculated by

A

dividing the SD by the mean and multiplying by 100 to express it as a percentage:

44
Q

The CV simplifies comparison of SDs of test results expressed in?
Analytes measured at different concentrations can have a drastically different SD but a comparable CV.

A

different units and concentrations.

45
Q

There are many different “shapes” datasets can exhibit; the most commonly discussed shape/distribution is the?(

A

gaussian distribution

also referred to as normal distribution)

46
Q

The gaussian distribution describes many continuous laboratory variables and shares several unique characteristics;

A

The mean, median, and mode are identical;

The distribution is symmetric
(meaning half the values fall to the left of the mean, and the other half fall to the right)

the symmetrical shape is often referred to as a “bell curve.”

47
Q

The total area under the gaussian curve is ____or ____
Much of the area——under the “normal” curve is between +/-1 SD
Most of the area——under the “normal” curve is between +/-2 SDs
And almost all of the area—%— under the “normal” curve is between +/-3 SDs

A

1.0, or 100%.

68.3%

95.4%

99.7%

48
Q

The 68-95-99 rule

A

given any gaussian distributed data:

Approximately 68% of the data fall between +/-1 SD from the mean;
Approximately 95% of the data fall between +/-2 SDs from the mean; and
Approximately 99% fall between +/- 3 SDs from the mean.

49
Q

The Gaussian distribution

A

This found application in the reference interval section.
Many patient data are not normally distributed.
These data may be skewed or exhibit multiple centers (bimodal, trimodal, etc.)
Plotting data in histograms such as these are an easy way to visualize distribution.
However, there are also mathematical analyses (e.g., normality tests) that can confirm if data fit a given distribution.
The importance of recognizing whether data are or are not normally distributed is related to the way it can be statistically analyzed.