Introduction to Pathology & Patient Care Flashcards

1
Q

What is a prognosis?

A

likely outcome without treatment or with best treatment

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2
Q

Define risk

A

exposures/events that can promote disease

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3
Q

Define etiology

A

cause of disease

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4
Q

Define pathogenesis

A

mechanisms of cause of disease

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5
Q

Define pathophysiology

A

mechanisms of how disease progresses

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6
Q

What are the kinds of pathological evaluations?

A
  • autopsy
  • organs (surgical removal)
  • Tissues (biopsy)
  • cells (cytology – fine needle aspiration or exfoliative)
  • fluids
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7
Q

What is clinical labratory medicine?

A
  • typically dealing with patient fluids (blood, serum, etc)

- provides additional patient data and supports history, osteopathic structural exam, radiological studies, etc

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8
Q

Why perform a clinical test?

A
  • determine probability that patient has disease
  • assess severity of disease
  • predict outcome of disease (prognosis)
  • monitor effectiveness of disease intervention
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9
Q

Difference between a diagnosis and screening

A

Diagnosis is clinical test determining probability of disease in patient – greater confidence of diagnosis
Screening is clinical test determining probability of disease in population – determines who likely has it

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10
Q

How do we use population data in medicine?

A
  • better understanding of health and disease
  • population-based decisions (preventative care)
  • apply data to individual
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11
Q

How do we determine if a test is abnormal?

A

if it is sufficiently outside the homeostatic range

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12
Q

5 approaches to interpreting test results:

A
  • reference range (most common)
  • threshold to diagnose
  • prognosis/desirable
  • therapeutic range
  • self-comparison
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13
Q

Interpreting results: reference range

A
  • random sampling of normal patients

- range of 95% of test results defines normal range

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14
Q

Interpreting results: prognosis/desirable

A

(ideal is not necessarily normal)

  • established based on desired levels - based upon knowledge of what’s healthy
  • can’t use 95% because too many people are prognostically undesirable (cholesterol)
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15
Q

Interpreting results: threshold to diagnose

A

-the normal is low or undetectable
-abnormal is above threshold of detection
-yields either positive or negative results (not range)
(pregnancy tests, creatinine kinase-MB)

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16
Q

Interpreting results: therapeutic drug reference range

A

maximize benefit, minimize risk of toxicity

17
Q

Interpreting results: self-comparison

A
  • not good for intial diagnosis
  • not always present (tumor markers)
  • use to follow treatment efficacy and monitor for reoccurence
18
Q

Define sensitivity

A

ability to accurately detect ALL those with the disease

-detect possible disease (screening)

19
Q

Define specificity

A

ability to accurate;y identify ALL those withOUT disease

-used to confirm diagnosis

20
Q

What is the ideal test threshold?

A

diagnostic threshold completely separates those with disease and those without

21
Q

What happens when you maximize sensitivity of a test?

A
  • identify all those with disease correctly

- a lot of false positives

22
Q

What happens when you maximize specificity of a test?

A
  • identifies all those without disease correctly

- a lot of false negatives

23
Q

Equation for specificity

A

true negative/(false positive + true negative)

24
Q

Equation for sensitivity

A

true positive/(false negative + true positive)

25
Q

sensitivity and sensitivity are not dependent on _________

A

disease prevalence

26
Q

What part of a test is dependent on disease prevalence?

A

utility (PPV and NPV)

27
Q

What is the pre-analytical phase?

A
  • time from patient preparation through the time of sample collection until sample arrives in lab
  • any errors here are due to people
28
Q

What is the analytical phase?

A
  • time that the sample is being analyzed in the lab

- any errors here are due to technology

29
Q

What is the post-analytical phase?

A
  • begins when result is generated and ends when the result is reported to ordering physician
  • any errors here are due to people
30
Q

What are the pre-analytical variables that affect test results?

A
  • age, gender, body mass of patient
  • patient prep (not fasting, etc)
  • drugs that interfere with testing process
  • method of sample collection (patient posture for blood collection, differences in blood from different blood vessels)
  • enough sample collection
  • time for transport to the lab
  • storage of sample before analyzation
31
Q

What are the analytical variables that affect test results?

A

(least common of the phases)

  • use of instrument
  • use of proper reagents
  • incorporation of proper controls
  • use of blood samples with hemolysis, elevated bilirubin, markedly elevated TAGs
32
Q

What are the post-analytical variables that affect test results?

A
  • delay in time to enter results
  • incorrect data entry
  • reporting results to the wrong patient