Potassium 3.5-5.0 mEq/L Magnesium 1.5-2.0 mEq/L Pt 11-15 seconds Calcium serum 8.4-10.2 mg/dL Cholesterol serum <200mg/dL Plt count 150,000- 400,000/mm3 Tri- glycerides serum 35-160,g/dL PO2 75-105 mmHg Chloride 95-105 mEq/L pH 7.35- 7.45 HgB male: 13.5- 17.5 g/dL Female: 12.0- 16.0 g/dL WBC 4.5- 11.1 Creatinine, serum 0.6- 1.2mg/dL T4 serum 5-12u g/dL Hb A1c < 7% Total Protein 6.0-7.8 g/dL Sodium 135-145 mEq/L BUN 7- 18mg/dL Bicarbonate 22-28 mEq/L PCO2 33- 45mmHg Glucose serum Fasting: 70-110mg/DL Albumin 3.5-5.5 g/dL T3 serum 115- 190ng/dL Hct male: 41- 53% Female: 36- 46% Potassium 3.5-5.0 mEq/L Magnesium 1.5-2.0 mEq/L Pt 11-15 seconds Calcium serum 8.4-10.2 mg/dL Cholesterol serum <200mg/dL Plt count 150,000- 400,000/mm3 Tri- glycerides serum 35-160,g/dL PO2 75-105 mmHg Chloride 95-105 mEq/L pH 7.35- 7.45 HgB male: 13.5- 17.5 g/dL Female: 12.0- 16.0 g/dL WBC 4.5- 11.1 Creatinine, serum 0.6- 1.2mg/dL T4 serum 5-12u g/dL Hb A1c < 7% Total Protein 6.0-7.8 g/dL Sodium 135-145 mEq/L BUN 7- 18mg/dL Bicarbonate 22-28 mEq/L PCO2 33- 45mmHg Glucose serum Fasting: 70-110mg/DL Albumin 3.5-5.5 g/dL T3 serum 115- 190ng/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.
Potassium 3.5-5.0 mEq/L
Magnesium 1.5-2.0 mEq/L
Pt
11-15 seconds
Calcium serum
8.4-10.2 mg/dL
Cholesterol
serum
<200mg/dL
Plt count
150,000-400,000/mm3
Tri-glycerides serum
35-160,g/dL
PO2
75-105 mmHg
Chloride 95-105 mEq/L
pH
7.35-7.45
HgB
male: 13.5-17.5 g/dL
Female: 12.0-16.0 g/dL
WBC 4.5-11.1
Creatinine, serum
0.6-1.2mg/dL
T4 serum
5-12u g/dL
Hb A1c
< 7%
Total Protein
6.0-7.8 g/dL
Sodium
135-145 mEq/L
BUN
7-18mg/dL
Bicarbonate
22-28 mEq/L
PCO2
33-45mmHg
Glucose serum
Fasting:
70-110mg/DL
Albumin
3.5-5.5 g/dL
T3 serum 115-190ng/dL
Hct
male: 41-53%
Female: 36-46%