L.4 Medical test Interpretation Flashcards

1
Q
A
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2
Q

What is one of the roles of clinical laboratory?

A

Screening for diseases

Clinical laboratories perform various roles including screening to detect diseases early.

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3
Q

What is the purpose of diagnosis in clinical laboratory roles?

A

Identify the cause of symptoms and confirm or rule out a disease

An example is glucose measurement for diabetes.

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4
Q

What does monitoring refer to in a clinical laboratory context?

A

Track the progression of a disease or the effectiveness of treatment

An example is creatinine measurement (eGFR) for monitoring CKD.

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5
Q

What is the definition of prognosis in clinical laboratory roles?

A

Predict the likely outcome or progression of a disease

An example includes tumour marker measurement for cancer prognosis.

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6
Q

How does prevention relate to clinical laboratory services?

A

Assess risk factors and guide lifestyle changes or preventive treatment

Lipid (cholesterol) testing for CVD prevention is a relevant example.

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7
Q

What is screening in the context of clinical laboratories?

A

Application of laboratory techniques to healthy (asymptomatic) individuals to detect diseases before it becomes clinically apparent

An example is newborn screening for metabolic diseases.

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8
Q

What does Evidence Based Laboratory Medicine (EBLM) focus on?

A

Making the most of any test data

EBLM uses best evidence to assist in decision making about individual patients.

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9
Q

True or False: The role of clinical laboratories includes investigation of substance abuse.

A

True

Clinical laboratories investigate substance abuse as part of their roles.

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10
Q

What role does clinical laboratory play in infectious disease epidemiology?

A

It assists in tracking and analyzing the spread of infectious diseases

This role is crucial for public health monitoring.

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11
Q

Fill in the blank: _______ is the process that helps guide treatment decisions based on laboratory results.

A

[Guidance for treatment]

Clinical labs provide essential data that informs treatment choices.

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12
Q

What is one application of laboratory medicine in teaching and research?

A

To educate and develop new methodologies or treatments

Clinical laboratories play a vital role in advancing medical knowledge.

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13
Q

What are reference ranges?

A

The range of values considered normal for a physiological measurement in a population with a defined health status

Reference ranges help clinicians interpret laboratory test results and assess health, disease, or risk of disease.

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14
Q

What percentage of the population typically has results within the reference range?

A

95%

This means that while most healthy individuals fall within this range, some may have values outside of it.

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15
Q

What percentage of the population will have results below the reference range?

A

2.5%

This reflects the possibility that a small portion of healthy individuals might fall below the normal range.

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16
Q

What percentage of the population will have results above the reference range?

A

2.5%

Similar to those below the range, this indicates that some healthy individuals may exceed the upper limit.

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17
Q

What factors can influence reference ranges?

A
  • Age (neonatal/geriatric)
  • Gender (muscle mass)
  • Weight
  • Diet
  • Pregnancy
  • Menstrual status
  • Time of day
  • Time of year (sun exposure)

These factors can affect physiological measurements and thus alter what is considered a normal range.

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18
Q

Why are reference ranges not appropriate for therapeutic drug monitoring?

A

Because the effective and safe dosage is specific for the patient and their reaction to the drug

This necessitates the use of a therapeutic range instead.

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19
Q

What is used instead of a ‘normal’ reference range in therapeutic drug monitoring?

A

A therapeutic range

This range aids in determining dosages that achieve the best effect without causing toxicity.

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20
Q

What are the sources of variation in the testing process?

A
  • Biological variation
  • Pre-analytical variation
  • Analytical variation (smallest contributor)
  • Post-analytical variation

Understanding these variations is crucial for accurate interpretation of laboratory results.

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21
Q

What is biological variation?

A

Variations due to natural physiological differences among individuals

Includes variations influenced by factors like age, sex, and genetics.

22
Q

What is diurnal variation?

A

Natural fluctuations in biological processes over a 24-hour cycle, influenced by the body’s circadian rhythm

Examples include cortisol and testosterone levels.

23
Q

How does age affect biological variation?

A

Certain enzymes, such as ALP (Alkaline Phosphatase), are higher in growing children

24
Q

What role does sex play in biological variation?

A

Influences levels of hormones such as oestrogen

25
What is the impact of dietary status on biological variation?
Affects levels of glucose and triglycerides
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What are genetic factors in biological variation?
Variations in biological processes due to individual genetic makeup
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How does exercise influence biological variation?
Affects levels of creatine kinase
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What is pre-analytical variation?
Variations that occur before analysis of a sample
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What factors contribute to pre-analytical variation?
* Patient preparation * Type of sample (venous or capillary) * Collection tube * Venepuncture technique * Specimen handling (labelling, transport, storage) * Previous (strenuous) exercise * Not following advice (fasting/coffee) * Unreadable information on sample
30
What is post-analytical variation?
Variations that occur after the analysis of a sample
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What are some examples of post-analytical variation?
* Transcription error * Test result lost * Turnaround time * Incorrect interpretation
32
What is the smallest proportion of error in the lab during the analytical stage?
Minimized through standardization and quality management procedures.
33
What organization accredits diagnostic labs to ensure quality?
INAB
34
What systems must be in place to ensure 'good quality' results in diagnostic labs?
* Standard operating procedures (SOP) * Quality control processes * External quality assurance (EQA) scheme
35
List the analytical measurements for test/assay.
* Accuracy * Precision * Linearity * Interference * Analytical sensitivity * Analytical specificity
36
What is the ideal characteristic of a diagnostic test regarding analyte values?
No overlap in analyte values between healthy and diseased populations.
37
What is the realistic outcome of a diagnostic test due to the overlap of healthy and diseased populations?
Generates false positives and false negatives.
38
How does changing the clinical cut-off affect diagnostic results?
Alters the relative proportions of false positives and false negatives.
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What is diagnostic sensitivity?
The probability that an individual with the disease of interest has a positive result.
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How is diagnostic sensitivity calculated?
True positive / (True positive + False negative)
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What is diagnostic specificity?
The probability that an individual without the disease of interest has a negative test.
42
How is diagnostic specificity calculated?
True negative / (True negative + False positive)
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What happens when sensitivity is increased by reducing the cut-off limit?
Increases the number of false positives.
44
What is the effect of increasing specificity by raising the cut-off limit?
Increases the number of false negatives.
45
Why are predictive values more clinically useful than diagnostic sensitivity and specificity?
They tell the actual probability that a patient does or does not have a disease given their test result.
46
What is fixed for a test and does not change based on the population?
Sensitivity and specificity.
47
What changes depending on disease prevalence in a given population?
Positive Predictive Value (PPV) and Negative Predictive Value (NPV).
48
Define Positive Predictive Value (PPV).
The probability of disease in an individual with a positive test result.
49
How is PPV calculated?
True positive / (True positive + False positive)
50
Define Negative Predictive Value (NPV).
The probability of no disease in an individual with a negative test result.
51
How is NPV calculated?
True negative / (True negative + False negative)