Approximate normal values Flashcards

1
Q

BUN

A

10-20mg/dL

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2
Q

creatinine

A

< 1 mg/dL

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3
Q

Bicarbonate

A

20-30 mEq/L

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4
Q

sodium

A

140-150 mEq/L

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5
Q

potassium

A

4-5 mEq/L

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6
Q

Chloride

A

100 mEq/L

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7
Q

Glucose

A

60-100 mg/dL

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8
Q

calcium

A

8-10 mg/L

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9
Q

uric acid

A

< 7 mg/dL

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10
Q

albumin

A

3-5 mg/dL

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11
Q

globulin

A

2-3 g/dL

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12
Q

bilirubin

A

< 1 mg/dL

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13
Q

alk. phosphate

A

< 100 U/L

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14
Q

ALT

A

< 40 U/L

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15
Q

AST

A

< 40 U/L

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16
Q

LDH

A

100-200 U/L

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17
Q

cholesterol

A

< 200 mg/dL

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18
Q

triglycerides

A

< 150 mg/dL

19
Q

For test results with people with a selected disease, what does it mean to be true positive?

A

number of disease people with a positive test result

20
Q

For test results with people with a selected disease, what does it mean to be false negative?

A

number of diseased people with a negative test result

21
Q

For test results for non-diseased people what does it mean to be true negative?

A

number of non-diseased people with a negative test result

22
Q

For test results for non-diseased people what does it mean to be false positive?

A

number of non-diseased people with a positive test result

23
Q

what is sensitivity?

A

likelihood for having positive result in people who have a selected disease
PID-> positive in disease

24
Q

formula for calculating sensitivity

A

TP/ (TP+FN)

25
what rate determines the test's sensitivity?
false negative
26
what does SNOUT mean?
SeNsitivity rules OUT
27
tests with 100% sensitivity means what? (no false negatives)
normal test results excludes disease - positive result includes all people with disease but positive test result does NOT confirm disease - test is used most often as a screening test
28
what is specificity?
likelihood of having negative results in non-diseased people NIH-> negative in health
29
formula for calculating specificity
TN/ (TN+FP)
30
what rate determines the test's specificity?
false positive
31
tests with 100% specificity (no false positives)
SPIN (SPecificity rules IN) | -positive test result confirms disease but negative test result does NOT exclude disease
32
what is the predictive value of a negative test result, NVP-?
likelihood that a negative test result excludes disease TN/ (TN+FN) - NPV reflects the FN rate of a test - tests with 100% sensitivity (no FN) always have a NPV- of 100%
33
what is the predictive value of a positive test result PPV+?
likelihood that a positive test result confirms disease TP/ (TP+FP) - PPV+ best reflect the FP rate of a test - tests with 100% specificity (no FP) always have a PPV+ of 100%
34
what is prevalence?
total number of people with disease in the population under study -population includes diseased and non-diseased people
35
formula for prevalence?
(TP+FN)/ (TP + FN + TN + FP)
36
Low prevalence of disease means what for NPV- and PPV+?
as NPV- (likelihood that a negative test result excludes disease)-> increases more TN's relative to FN's PPV+ (likelihood that a positive test result confirms disease) decreases more FP's relative to TP's.
37
High prevalence of disease means what for NPV- and PPV+?
As NPV- decreases, more FN's and TN's As PPV+ increases, more TP's than FP's
38
adult hematology normal values? RBC
5 million/mm^3
39
adult hematology normal values? WBC
5-10 thousand/mm^3
40
adult hematology normal values, differential: granulocytes/lymph/mono
(60/30/5)
41
adult hematology normal values? HCT
40-50%
42
adult hematology normal values? Platelets
250,000+/- 100,000
43
adult hematology normal values? reticulocytes
1% x 5 million-> 50,000/mm^3