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ICM cards > Approximate normal values > Flashcards

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
Q

what rate determines the test’s sensitivity?

A

false negative

26
Q

what does SNOUT mean?

A

SeNsitivity rules OUT

27
Q

tests with 100% sensitivity means what? (no false negatives)

A

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
Q

what is specificity?

A

likelihood of having negative results in non-diseased people NIH-> negative in health

29
Q

formula for calculating specificity

A

TN/ (TN+FP)

30
Q

what rate determines the test’s specificity?

A

false positive

31
Q

tests with 100% specificity (no false positives)

A

SPIN (SPecificity rules IN)

-positive test result confirms disease but negative test result does NOT exclude disease

32
Q

what is the predictive value of a negative test result, NVP-?

A

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
Q

what is the predictive value of a positive test result PPV+?

A

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
Q

what is prevalence?

A

total number of people with disease in the population under study
-population includes diseased and non-diseased people

35
Q

formula for prevalence?

A

(TP+FN)/ (TP + FN + TN + FP)

36
Q

Low prevalence of disease means what for NPV- and PPV+?

A

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
Q

High prevalence of disease means what for NPV- and PPV+?

A

As NPV- decreases, more FN’s and TN’s

As PPV+ increases, more TP’s than FP’s

38
Q

adult hematology normal values? RBC

A

5 million/mm^3

39
Q

adult hematology normal values? WBC

A

5-10 thousand/mm^3

40
Q

adult hematology normal values, differential: granulocytes/lymph/mono

A

(60/30/5)

41
Q

adult hematology normal values? HCT

A

40-50%

42
Q

adult hematology normal values? Platelets

A

250,000+/- 100,000

43
Q

adult hematology normal values? reticulocytes

A

1% x 5 million-> 50,000/mm^3

ICM cards (1 decks)

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