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