Intro to Patho Flashcards

1
Q

Disease definition

A

An interruption, cessation, or disorder of a body system or organ that is characterized by an etiological agent, signs and symptoms, and changes in anatomy.

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2
Q

What are the causes of disease called?

A

etiologic factors

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3
Q

What are risk factors?

A

Variables that increase a person’s probability of having a disease

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4
Q

What is pathogenesis?

A

sequence of events in cells and tissues between exposure to etiologic agent and manifestation of disease

**How the disease process evolves

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5
Q

Morphology

A

The fundamental structure or form of cells and tissues

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6
Q

Histology

A

Study of cells and extracellular matrices of tissues

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7
Q

What is a lesion?

A

A traumatic or pathological discontinuity of an organ or tissue

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8
Q

Syndrome

A

Compilation of signs and symptoms characteristic of a disease state

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9
Q

What is an adverse outcome of a disease or treatment?

A

a complication

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10
Q

What are sequelae?

A

Lesions or impairments that are caused by or follow disease

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11
Q

Validity

A

extend to which a measurement tool measures what it is actually intended to.

Example: validity of a sphygmomanometer may be determined by comparing results to intra-arterial measurments

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12
Q

Reliability

A

Extent to which an observation, if repeated, gives the same results (includes differences in measurement by the observer)

Example: differences in blood pressure measurement technique may vary the reliability between nurses

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13
Q

Standardization

A

Ways to improve the validity and reliability of measured values.

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14
Q

Test sensitivity

A

The proportion of people who have a disease and test positive for that disease on a given test

If a person tests negative on a very sensitive test, they do not have the disease.

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15
Q

Test specificity

A

The proportion of people who do NOT have a disease who test negative for the disease on a given test.

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16
Q

What does specificity indicate?

A

A true-negative result.

A test that is 95% specific correctly identifies 95 of 100 normal people. The other 5% are false-positive results.

17
Q

Predictive value

A

Extent to which a test can predict the presence of a disease

18
Q

Positive predictive value

A

proportion of true-positive results that occur in a population

example: People who are diagnosed with breast cancer after finding nodules in a cancer screening would make up the positive predictive value

19
Q

Negative predictive value

A

True negative results that occur in a population

example: Proportion of people who do not have breast cancer and also do not have nodules found in the cancer screening make up the negative predictive value

20
Q

Preclinical stage of disease

A

It is not clinically apparent, but it is destined to progress to clinical disease

21
Q

Subclinical disease

A

Disease is not clinically apparent, and is also not destined to progress.

22
Q

Clinical disease

A

Signs and symptoms are present

23
Q

What is incidence vs prevalence in epidemiology?

A

Incidence: The number of new cases in a population that is at risk at a specific time.
Prevalene: the measure of existing disease (not just new cases!) in the population as a whole at a specific time.

24
Q

What is the natural history of a disease?

A

The disease’s natural progression without treatment