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
Pragmatic approach
consider diagnoses most responsive to treatment first example: "lets try steroid cream then if that doesnt work we will try this"
26
Steps in Diagnostic Reasoning
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
Electromyogram (EMG)
- 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
CT scan
xray, visualizes soft tissue & organs with more detail
29
MRI
produces images similar to CT but with high energy magnetic fields, no radiation, not useful for bones
30
Positron Emisson Tomographic (PET) scan
looks at glucose uptake in body
31
Sensitivity definition and calculation
Ability of the test to detect patients WITH disease who test positive for the disease true positives / total number of positive results
32
Specificity definition and calculation
Ability of the test to detect patients WITHOUT disease true negatives/ total number of negative results
33
Positive predictive value and calculation
probability that the person has the disease if the test result is positive True positive test result /total positive test results
34
Negative predictive value
Probability that the person does not have the disease if the test result is negative
35
Bayes Theorem
Predictive values relate to characteristics of a test & the frequency of the disease in a population
36
positive likelihood ratio definition and calculation
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
negative likelihood ratio definition and calculation
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
LR >1
Test result is more likely to occur among patients with the disease than among those without the disease
39
LR <1
Test result is less likely to occur among patients with the disease than among those without the disease
40
LR >10
"rule in" disease
41
LR<0.1
"rule out" disease
42
Screening programs are most productive & efficient if directed at a low or high risk population?
high
43
Key steps in test selection and interpretation
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"