Khajuria A, Krahn J
Department of Clinical Biochemistry, St. Boniface General Hospital, Winnipeg, Manitoba, Canada R2H 2A6.
Clin Biochem. 2005 Jun;38(6):514-9. doi: 10.1016/j.clinbiochem.2005.03.001.
To derive a formula that can be used (i) to calculate osmolality in normal patients as well as those that are hyperglycemic and intoxicated, and (ii) to predict the presence of unexplained compounds with the osmol gap calculation in the presence and absence of ethanol. DESIGN AND EXPERIMENTS: We performed in vitro experiments to determine the relationship of serum osmolality with sodium, potassium, urea, glucose, ethanol, methanol, and ethylene glycol. Several formulas were then tested for their validity in predicting osmolality in normal individuals. Finally, we assessed whether these formulas would allow us to calculate the osmolality gap (OG) that may be indicative of the presence of other osmotically active compounds. The OG calculation was done both in the presence and absence of ethanol. In this way, the OG should be able to detect compounds like methanol and ethylene glycol even in the presence of ethanol which is easily measured and is very often present in the above-named poisonings.
Experimental results show that glucose, ethanol, methanol, and ethylene glycol need factors of 1.15, 1.20, 1.07, and 1.00, respectively, to accurately predict osmolality. The factors for glucose and ethanol were then validated in normal subjects as well as in a large patient database. The formulas below predicted osmolality very well in patients whether ethanol was present or not. All concentrations are expressed in mmol/L. The mean osmol gap for healthy subjects without ethanol present was 0.77 +/- 3.80 mosM/kg with the reference interval being -6.68 to 8.23 mosM/kg for formula 1 and -8.04 to 6.50 mosM/kg for formula 2. The mean osmol gap (OG) in patients who had ethanol present was 1.22 +/- 5.32 for formula 1 and -0.2 +/- 5.0 for formula 2.
This study shows that factors of 1.20 and 1.15 have to be applied to ethanol and glucose to allow for accurate calculation of osmolality and osmolality gap. There were insufficient patient data to verify the factors for methanol and ethylene glycol.
推导一个公式,该公式可用于(i)计算正常患者以及高血糖和中毒患者的渗透压,(ii)在有乙醇和无乙醇的情况下,通过渗透压间隙计算预测未知化合物的存在。
我们进行了体外实验,以确定血清渗透压与钠、钾、尿素、葡萄糖、乙醇、甲醇和乙二醇之间的关系。然后测试了几个公式在预测正常个体渗透压方面的有效性。最后,我们评估这些公式是否能让我们计算出可能表明存在其他渗透活性化合物的渗透压间隙(OG)。OG计算在有乙醇和无乙醇的情况下均进行。通过这种方式,即使在乙醇存在的情况下,OG也应该能够检测出甲醇和乙二醇等化合物,乙醇很容易测量且在上述中毒情况中经常存在。
实验结果表明,葡萄糖、乙醇、甲醇和乙二醇分别需要1.15、1.20、1.07和1.00的系数才能准确预测渗透压。葡萄糖和乙醇的系数随后在正常受试者以及一个大型患者数据库中得到验证。无论有无乙醇,以下公式在患者中预测渗透压的效果都非常好。所有浓度均以mmol/L表示。无乙醇的健康受试者的平均渗透压间隙,公式1的参考区间为-6.68至8.23 mosM/kg,公式2的参考区间为-8.04至6.50 mosM/kg,平均渗透压间隙为0.77±3.80 mosM/kg。有乙醇的患者中,公式1的平均渗透压间隙(OG)为1.22±5.32,公式2为-0.2±5.0。
本研究表明,必须对乙醇和葡萄糖应用1.20和1.15的系数,才能准确计算渗透压和渗透压间隙。没有足够的患者数据来验证甲醇和乙二醇的系数。