Module 3 Flashcards

1
Q

Statistical QC

A

use of controls and qc charts to monitor analytical methods Known concentrations of analytes

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2
Q

Non statistical QC

A

procedure which maintains and improves performance

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3
Q

examples of non statistical QC

A

produce and monitor high quality water Calibrate lab equipment as schedules monitor temps document maintmance

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4
Q

purpose of running controls with patient tests

A

to detect error int he procedure

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5
Q

Properties of controls

A

Number of analytes: single or multi Concentration of analytes: Different levels Matrix: same physical and chemical matrix as patient samples May be liquid or lyophilized

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6
Q

Control range

A

acceptable range for normal day to day variation

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7
Q

how to establish a control range

A

control sample ran minimum 20 times over 10 days to establish initial range Mean and SD are calculated Distribution is assumed Gaussian; any values outside of +-3SD are excluded and mean and SD are recalculated using remaining data

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8
Q

+/- 1S contains about

A

68% of the values

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9
Q

+/- 2S contains about

A

95% of the values

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10
Q

+/- 3S contains about

A

99% of the values

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11
Q

95% confidence interval

A

+/- 2S range is selected for control range. This means 95% of all control values should fall in this range

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12
Q

Levey Jennings Chart

A

Statistical QC Results on y axis, time on x axis Range should be big enough for +/- 4s

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13
Q

Levey jennings chart must be labeled with (7)

A

Name of test Name, level, lot # of control material Units of measurement Analytical system Mean and SD Time period covered by chart

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14
Q

What to do if control value is out of range

A

plot on chart Circle with red ink Troubleshoot and document Control must be in range in order to release patient results

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15
Q

Types of errors

A

Random: increased scatter, decreased precision Systematic (Shift): error sources that produce consistent effects on values; pos OR neg Systematic (Trend): ex. reagent breaking down

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16
Q

*************** Error type: Random Examples of causes

A

Bubbles or leaks Poor mixing; precipitates in reagents/controls Unstable temp or power supply Poor technique Dirty or damaged probes

17
Q

*************** Error type: Systematic Examples of causes

A

MOST COMMON: Change in lot # (calibrators, controls, reagents) Improperly prepared solutions Deterioration due to improper storage/handling Less common: Deterioration of instrument components Maintenance overdue Improperly performed maintenance or component replacement Calibration time exceeded/overdue Environmental changes (temp, humidity)

18
Q

False rejection

A

%5 of control values will fall out of range even if the method is performing properly

19
Q

If using 2 control levels, false rejection rate is

A

10% Add 5% per extra control level

20
Q

Multi rule QC

A

approach to minimize change of false rejecting while still maintaining high levels of error detection Ex. Westgard Rules

21
Q

Rule violation within run

A

a rule violation with a) only one single run of a control level b) within one run of different control levels ran at the same time

22
Q

Rule violation across runs

A

a rule violation occurring over more than one run of a control level (or levels)

23
Q

Rule violation within controls (control levels)

A

a rule violation by only one level of control

24
Q

Rule violation across controls

A

a rule violation including 2 different levels of control

25
Q

1 2s rule

A

Warning rule Random error Dont reject run One result outside of +/- 2s

26
Q

1 3s rule

A

RE, reject run One result outside +/- 3s

27
Q

2 2s rule

A

SE, reject run 2 consecutive results outside +/- 2s Can be across runs or across control levels

28
Q

R 4s rule within run

A

RE, reject run 4s spread between results occurring ACROSS CONTROL LEVELS

29
Q

R 4s rule across runs, within control level

A

RE, reject run 4s spread between results

30
Q

4 1s rule one level

A

SE, reject run 4 consecutive results outside +/- 1s Across runs

31
Q

4 1s Rule Two level

A

across control levels (2 consecutive on each)

32
Q

10x rule One level

A

SE, reject run 10 consecutive results on one side of the mean Applies across runs

33
Q

10x rule Two level

A

across control levels (5 on each)