Part 2: 1st Module Flashcards

(29 cards)

1
Q

this method allows the collection of a small amount of blood for a quick PCV, total protein, and blood film while clearing the catheter and tubing of blood that may contain pro-coagulant factors that would promote clot formation in the EDTA tube.

A

butterfly catheter

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2
Q

Two methods for preparing a blood film.

A

✓ the push slide is rested on one finger rather than being held between the thumb and index finger
✓ Both the push slide and blood film slide are in the hands.

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3
Q

The angle of the push slide and the viscosity of the blood determine the length of the blood film.

A

✓ for blood with normal PCV, a 45° angle will produce a blood film with a good feathered edge and counting area
✓ for blood that is thick (dehydration), a shallower angle is needed or the blood film will be too short
✓ for blood that is thin (anemia), a steeper angle is needed or the blood film will be too long

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4
Q

an animal selected using defined criteria.

A

Reference Individual

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5
Q

All possible reference individuals. Usually, the number of such individuals is unknown. In the cae of captive wild animals, the total number may be known

A

Reference population

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6
Q

An adequate number of reference individual selected to represent the reference population

A

Reference sample group

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7
Q

a value obtained by observation pr measurement of a particular substance the reference

A

Reference value

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8
Q

the lowest and highest values of the reference interval, derived from a reference distribution

A

Reference limits

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9
Q

an interval between and including the two reference limits

A

Reference Interval

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10
Q

A value obtained by observation or measurement to be compared to the reference interval

A

Observed value

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11
Q

does not include all reference values; contains the values between two reference limits

A

Reference interval

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12
Q

also known as the normal distribution. it is a continuous probability distribution that is symmetric around its mean. This means that data points near the mean are more frequent in occurrence than those far from the mean, creating a characteristic “bell curve” shape when graphed.

A

Gaussian distribution

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13
Q

this theorem states that the sum of a large number of independent and identically distributed random variables will be approximately normally distributed, regardless of the original distribution of the variables

A

Central limit theorem

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14
Q

the ability of an assay to get the same result if a sample is analyzed several times; also called reproducibility or randow analytical error

A

Analytical precision

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15
Q

variability in the results when the same is analyzed multiple times

A

Analytical imprecision

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16
Q

The ability of an assay to consistently provide accurate results

A

Analytical precision and Accuracy

17
Q

the ability of an assay to measure the intended analyse without interference from other substances

A

Analytical specificity

18
Q

the smallest amount of substance that can be reliably detected by an assay

A

detection limit

19
Q

graphical tool used in laboratories to monitor the quality control of assays over time. This chart specifically tracks the glucose control solution over 12 days

A

Levy-Jennings chart

20
Q

to compare a new method against a reference or established method

A

NCCLS Bias plot

21
Q

indicates no difference between the methods

A

Zero bias line

22
Q

To compare two methods without assuming one is more accurate

A

Altman-Bland Bias plot

23
Q

to compare the results of two HCO3

A

Deming Method Comparison

24
Q

to compare the results of two HCO3- assays using the passing & bablok regression method

A

Passing & Bablok Method Comparison

25
Both methods help in detecting systematic differences between the two assays
Bias detection
26
indicates that the difference between methods changes with the concentration
Proportional bias
27
indicates a consistent difference across all concentrations
Constant bias
28
Both methods use regression equations and confidence intervals to evaluate the agreement between assays
Statistical Analysis
29
the graph plots "diagnostic sensitivity" (true positive rate) on the y-axis and "1- Diagnostic specificity" (false positive rate) on the x-axis.
ROC curve