Clinical Reasoning & Differential Diagnosis Flashcards

1
Q

DIsease

A

A disturbance of structure or function

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2
Q

Asymptomatic Disease

A

HTN, disease is present but not symptomatic

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3
Q

Subjective data

A

changes in the body perceived by the patient, Lab tests that were done at a previous visit

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4
Q

Classification of Disease:Metabolic

A

Disturbances of cellular energy processes

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5
Q

Classification of Disease: Neoplastic

A

Characterized by abnormal cell growth

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6
Q

Disease Risk Factor Categories:Disease-associated

A

Past illnesses that increase risk

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7
Q

Disease Risk Factor Categories: Treatment-associated

A

Surgical, transfusions, medications, allergies & adverse reactions, immunizations

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8
Q

Natural History of Disease (A-F)

A
A)Biologic onset of the condition
B) Pathologic evidence of disease detectable by screening
C)Signs and Symptoms of disease
D)Health care sought
E) Diagnosis of Disease
F) Treatment of Disease
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9
Q

Preclinical- natural history of disease

A

A) Biologic onset of the condition
B) Pathologic evidence of disease detectable by screening

They don’t know they have it-Screenings

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10
Q

Clinical- natural history of disease

A

C)Signs and symptoms of disease
D) Health care sought
E) Diagnosis of Disease

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11
Q

Outcome-natural history of disease

A

F) Treatment of disease

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12
Q

Components of a patient problem

A
  • Location
  • Character or quality
  • Severity
  • Timing: onset, frequency, duration
  • Sequence of symptoms
  • Aggravating/ alleviating factors
  • Associated factors and treatments
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13
Q

Deductive Reasoning with example

A

from general to specific

example: “Im tired–> hypothyroid”

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14
Q

Inductive Reasoning

A

from specific to general- uses probability theory

example: “Its probably this….lets order this test”

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15
Q

Critical Decision-making steps

A
Synthesis of relevant info
Prediction of outcomes
Examination of assumptions
Generation of options
Identification of patterns
Choice of actions
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16
Q

Differential Diagnosis

A

Consideration of possible causes that account for clinical manifestations

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17
Q

What are differential diagnosis based on?

A

Clinical hx, social hx, family hx, physical exam

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18
Q

Constructing a differential diagnosis 1-5

A
  1. )Data acquisition
  2. )Accurate problem representation
  3. )Develop differential diagnosis
  4. ) Prioritize the differential diagnosis
  5. ) Test your hypotheses
19
Q

Differential Diagnosis steps 1) Data acquisition 2) Accurate problem representation

A

1) Identify most important cues (cause, timeline, label for cluster of symptoms)
2) Understand & preform advanced examination techniques (Risks)

20
Q

Differential Diagnosis step 3) Develop a complete framed differential diagnosis

A

Develop a list of possible causes (lists from textbooks, anatomic framework, organ/system framework)

21
Q

Differential Diagnosis step 4) Prioritize the deferential diagnosis

A
Prioritize the list: 
possible
 probabilistic
 prognostic 
pragmatic
22
Q

Possibilistic approach

A

all known causes treated as equally likely

23
Q

Probabilistic approach

A

consider those that are more likely first

24
Q

Prognostic approach

A

consider most serious first

25
Q

Pragmatic approach

A

consider diagnoses most responsive to treatment first

example: “lets try steroid cream then if that doesnt work we will try this”

26
Q

Steps in Diagnostic Reasoning

A

1) Identify the presenting problem
2) Assess patient
3) Formulate competing diagnoses
4) Order diagnostics
5) Select a diagnosis
6) Develop a treatment plan
7) Implement & evaluate the treatment plan:provide follow up care

27
Q

Electromyogram (EMG)

A
  • Measures electrical activity of skeletal muscle during contraction and at rest
  • Can identify inflammatory and degenerative diseases of skeletal muscles and abnormal nerve conduction
28
Q

CT scan

A

xray, visualizes soft tissue & organs with more detail

29
Q

MRI

A

produces images similar to CT but with high energy magnetic fields, no radiation, not useful for bones

30
Q

Positron Emisson Tomographic (PET) scan

A

looks at glucose uptake in body

31
Q

Sensitivity definition and calculation

A

Ability of the test to detect patients WITH disease who test positive for the disease

true positives / total number of positive results

32
Q

Specificity definition and calculation

A

Ability of the test to detect patients WITHOUT disease

true negatives/ total number of negative results

33
Q

Positive predictive value and calculation

A

probability that the person has the disease if the test result is positive

True positive test result /total positive test results

34
Q

Negative predictive value

A

Probability that the person does not have the disease if the test result is negative

35
Q

Bayes Theorem

A

Predictive values relate to characteristics of a test & the frequency of the disease in a population

36
Q

positive likelihood ratio definition and calculation

A

True positive% / False Positive %
=sensitivity /(1-specificity)
It tells you how likely it is that a result is a true positive rather than a false positive

37
Q

negative likelihood ratio definition and calculation

A

False Negative%/ True negative %
=(1-sensitivity) / specificity
It tells you how likely it is that a result is a false negative rather than a true negative

38
Q

LR >1

A

Test result is more likely to occur among patients with the disease than among those without the disease

39
Q

LR <1

A

Test result is less likely to occur among patients with the disease than among those without the disease

40
Q

LR >10

A

“rule in” disease

41
Q

LR<0.1

A

“rule out” disease

42
Q

Screening programs are most productive & efficient if directed at a low or high risk population?

A

high

43
Q

Key steps in test selection and interpretation

A

1) Careful H&P
2) development of differential Dx’s
3) Consideration of estimated probability of disease
4) Selection od best test for situation
5) Interpretation of results
6) Continue cycle or “watchful waiting”