BUN 7- 18mg/dL pH 7.35- 7.45 T3 serum 115- 190ng/dL Creatinine, serum 0.6- 1.2mg/dL Pt 11-15 seconds Sodium 135-145 mEq/L WBC 4.5- 11.1 Plt count 150,000- 400,000/mm3 Cholesterol serum <200mg/dL Glucose serum Fasting: 70-110mg/DL PO2 75-105 mmHg Hb A1c < 7% PCO2 33- 45mmHg Magnesium 1.5-2.0 mEq/L Bicarbonate 22-28 mEq/L HgB male: 13.5- 17.5 g/dL Female: 12.0- 16.0 g/dL Potassium 3.5-5.0 mEq/L Tri- glycerides serum 35-160,g/dL Calcium serum 8.4-10.2 mg/dL Chloride 95-105 mEq/L Total Protein 6.0-7.8 g/dL T4 serum 5-12u g/dL Albumin 3.5-5.5 g/dL Hct male: 41- 53% Female: 36- 46% BUN 7- 18mg/dL pH 7.35- 7.45 T3 serum 115- 190ng/dL Creatinine, serum 0.6- 1.2mg/dL Pt 11-15 seconds Sodium 135-145 mEq/L WBC 4.5- 11.1 Plt count 150,000- 400,000/mm3 Cholesterol serum <200mg/dL Glucose serum Fasting: 70-110mg/DL PO2 75-105 mmHg Hb A1c < 7% PCO2 33- 45mmHg Magnesium 1.5-2.0 mEq/L Bicarbonate 22-28 mEq/L HgB male: 13.5- 17.5 g/dL Female: 12.0- 16.0 g/dL Potassium 3.5-5.0 mEq/L Tri- glycerides serum 35-160,g/dL Calcium serum 8.4-10.2 mg/dL Chloride 95-105 mEq/L Total Protein 6.0-7.8 g/dL T4 serum 5-12u g/dL Albumin 3.5-5.5 g/dL Hct male: 41- 53% Female: 36- 46%
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
BUN
7-18mg/dL
pH
7.35-7.45
T3 serum 115-190ng/dL
Creatinine, serum
0.6-1.2mg/dL
Pt
11-15 seconds
Sodium
135-145 mEq/L
WBC 4.5-11.1
Plt count
150,000-400,000/mm3
Cholesterol
serum
<200mg/dL
Glucose serum
Fasting:
70-110mg/DL
PO2
75-105 mmHg
Hb A1c
< 7%
PCO2
33-45mmHg
Magnesium 1.5-2.0 mEq/L
Bicarbonate
22-28 mEq/L
HgB
male: 13.5-17.5 g/dL
Female: 12.0-16.0 g/dL
Potassium 3.5-5.0 mEq/L
Tri-glycerides serum
35-160,g/dL
Calcium serum
8.4-10.2 mg/dL
Chloride 95-105 mEq/L
Total Protein
6.0-7.8 g/dL
T4 serum
5-12u g/dL
Albumin
3.5-5.5 g/dL
Hct
male: 41-53%
Female: 36-46%