- David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
Background: Recent data suggested that the osmolal gap attributed to ethanol as determined by the difference between measured serum osmolality and calculated serum osmolarity is greater than its molar concentration. The increased osmotic activity of ethanol is thought to be due to its binding to water molecules. This study is conducted to determine the true osmotic contribution of ethanol to serum osmolality.
Methods: Baseline serum osmolality and ethanol concentration were measured on each serum sample. Varying amounts of ethanol were added to aliquots of serum in which the baseline serum ethanol concentration was undetectable. Repeat serum osmolality and serum ethanol concentration were measured after addition of ethanol.
Results: The range of serum ethanol concentration was 27.3–429.8 mg/dL. The serum osmolal gap attributed solely to ethanol is calculated based on the difference between measured serum osmolality before and measured serum osmolality after addition of ethanol. Our results demonstrated that the contribution of ethanol to serum osmolality can be calculated by dividing the serum ethanol level in mg/dl by 4.6. In addition, the relationship between serum ethanol concentration and osmolal gap due to ethanol was assessed by linear regression analysis. Linear regression analysis relating the osmolal gap due to ethanol and ethanol concentration yielded the following equation: Osmolal Gap (mOsm/kg H2O) = 0.23 (Ethanol [mg/dL]) – 1.43.
Conclusion: The osmolal concentration of ethanol can be calculated based on its molar concentration. We found no evidence for ethanol binding to water molecules over the range of ethanol concentration in this study.
Introduction
Historically, it has been assumed that the osmotic contribution of ethanol to serum osmolality can be calculated based on its molar concentration. The osmolal concentration of ethanol is thought to be equal to the serum ethanol level in mg/dl divided by 4.6 given that its molecular weight is 46 g/mol (1). However, recent studies suggested that the osmolal concentration of ethanol is greater than its molar concentration. Purssell et al. demonstrated that the osmolal concentration of ethanol is best estimated by dividing the ethanol concentration by 3.7 rather than 4.6, whereas Garrard et al. found that the conversion factor of ethanol is 4.0 (2, 3). There are, however, limitations inherent in these studies as the osmolal gap due to ethanol was determined by the difference in the measured serum osmolality with ethanol and the calculated serum osmolarity excluding ethanol. This approach is inaccurate since there is an expected osmolal gap between the measured serum osmolality and the calculated serum osmolarity even if the serum ethanol concentration were zero. Therefore, in determining the osmolal gap due solely to ethanol, one must calculate the difference in the measured serum osmolality prior to addition of ethanol and measured serum osmolality after addition of ethanol. This osmolal gap due solely to ethanol has not previously been reported in the literature.
Methods
UCLA Institutional Review Board waived the requirement for ethical approval and written informed consent for participants in this study due to the used samples being de-identified and discarded from use for patient care only. This was carried out in accordance with the national legislation and institutional requirements. Thirty-three serum samples with undetectable ethanol level were selected for this study. Serum ethanol concentration was measured with the Roche Cobas 8000 (Roche Diagnostics, Indianapolis, Indiana) on each sample. Serum osmolality (mOsm/kg H2O) was measured using a freezing point depression method on the OsmoPRO (Advanced Instruments, Inc. Norwood, Massachusetts) in duplicate. Then 0.5 mL aliquot of each sample was spiked with varying amount of 200 proof ethanol (Gold Shield Dist. Inc. Hayward CA). Serum ethanol and osmolality were measured again with the same methods as described earlier. The average serum osmolality was determined from the duplicate results.
Results
The range of the serum ethanol concentration was 27.3–429.8 mg/dL in samples spiked with ethanol (Table 1). The range of average serum osmolality was 277–307 mOsm/kg H2O in the original serum samples and 290.5–380 mOsm/kg H2O in samples spiked with ethanol (Table 1). The serum osmolal gap attributed solely to ethanol was calculated based on the difference between measured serum osmolality before and measured serum osmolality after addition of ethanol. To determine the conversion factor of ethanol from unit of mg/dL to unit of mOsm/kg H2O, the serum ethanol concentration in mg/dL on each serum sample was then divided by the serum osmolal gap attributed to ethanol for that sample. In contrast to the previous two studies by Purssell et al. and Garrard et al., the true average conversion factor of ethanol is 4.6 ± 0.16 since this calculation is performed using the serum osmolal gap solely attributed to ethanol based on the difference between measured serum osmolality before and measured serum osmolality after addition of ethanol (Table 1). In addition, linear regression analysis was performed to assess the relationship between the osmolal gap due to ethanol and serum ethanol concentration in mg/dL. Linear regression analysis relating the osmolal gap solely due to ethanol based on the difference between measured serum osmolality before and after ethanol addition and serum ethanol concentration yielded the following equation: Osmolal Gap (mOsm/kg H2O) = 0.234 (Ethanol [mg/dL]) – 1.427 (95% CI: slope 0.226–0.243, intercept −2.971 to 0.118) (Figure 1).
Figure 1. Linear regression analysis relating the osmolal gap solely due to ethanol based on the difference between measured serum osmolality after ethanol addition and measured serum osmolality before ethanol addition and serum ethanol concentration in mg/dL.
Statistics
The data were presented as mean ± SEM. In addition, linear regression was performed to define the relationship between the osmolal gap solely due to ethanol and serum ethanol concentration.
Discussion
The serum osmolal gap is an important clinical tool utilized in the evaluation of suspected toxic alcohol poisoning. An increased serum osmolal gap is suggestive of methanol or ethylene glycol intoxication. However, concomitant ethanol ingestion also contributes to the increased serum osmolal gap and must be accounted for in the evaluation of methanol or ethylene glycol intoxication. Historically, the osmolal concentration of ethanol is assumed to be equal to its molar concentration. Given that ethanol has a molecular weight of 46 g/mol, the osmolal concentration of ethanol is calculated as the serum ethanol concentration in mg/dL divided by 4.6 (1). However, recent data suggested that ethanol reduces the effective serum water volume (i.e., free solvent) and therefore contributes more osmoles per kg H2O than its molar concentration in a manner similar to that of sucrose. It has been demonstrated that the osmotic pressure exerted by sucrose was greater than that expected based on its molar concentration (4). When the water that bound with sucrose was deducted from the total water available in the system, the free-solvent model provided an accurate prediction of the osmotic pressure data. Indeed, by assuming that each sucrose molecule binds 4.2 water molecules, the calculated osmotic pressure was predictably accurate up to 190 atm (4). Purssell et al. demonstrated that the osmolal contribution of ethanol is best determined by dividing the serum ethanol concentration in mg/dL by 3.7 rather than dividing by 4.6 (2). On the other hand, Garrard et al. showed that the contribution of ethanol to the osmolal gap is calculated as the ethanol concentration in mg/dL divided by 4.0 rather than 4.6 (3). However, there is a significant limitation inherent in both of these studies. In these studies, the osmolal gap was determined by the difference in the measured serum osmolality with ethanol and calculated serum osmolarity excluding ethanol. The problem with the conversion factors derived from their studies is that they did not consider the contribution of the solutes present in the serum other than ethanol, sodium, urea nitrogen and glucose to serum osmolality, i.e., the expected osmolal gap when serum ethanol concentration is zero.
In our study, to determine the serum osmolal gap due solely to ethanol, the true serum osmolal gap due to ethanol was determined by the difference in the measured serum osmolality prior to addition of ethanol and the measured serum osmolality after addition of ethanol. Consequently, the true conversion factor of ethanol from unit of mg/dL to unit of mOsm/kg H2O was determined by dividing the serum ethanol concentration in mg/dL of each serum sample by the serum osmolal gap due solely to ethanol for that sample (Table 1). As shown in Table 1, the true average conversion factor of ethanol is 4.6 ± 0.16. Alternatively, the osmolal contribution due solely to ethanol can be predicted based on its concentration in mg/dL by the following linear regression equation: Osmolal Gap (mOsm/kg H2O) = 0.23 (Ethanol [mg/dL]) – 1.43 (Figure 1). Based on the results of our study, we demonstrated that an ethanol solution with concentration up to 430 mg/dL still behaves as if it is an ideal solution. Our data does not suggest that ethanol reduces the effective water volume in serum over the range of ethanol concentration in this study.
The differences between the two previous conversion factors of 3.7 and 4.0 and the true conversion factor of 4.6 are likely the result of variations in the expected serum osmolal gap between the measured serum osmolality with ethanol and calculated serum osmolarity excluding ethanol, i.e., variations in the concentration of non-ethanol solutes other than serum sodium, serum urea nitrogen and serum glucose. In Table 2, the predicted osmolal gap due to ethanol was calculated using the conversion factor of 3.7, 4.0, and 4.6, respectively. As shown in Table 2, the average difference between the calculated osmolal gap due to ethanol based on the conversion factor of 3.7 and calculated osmolal gap due to ethanol based on the true conversion factor of 4.6 was 7.77 ± 0.95. The average difference between the calculated osmolal gap due to ethanol based on the conversion factor of 4.0 and calculated osmolal gap due to ethanol based on the true conversion factor of 4.6 was 4.79 ± 0.59. As expected, the average differences between the calculated osmolal gap due to ethanol based on the incorrect conversion factors and the true conversion factor were less than the normal serum osmolal gap of 10 mOsm/kg H2O, i.e., the normal serum osmolal gap due to non-ethanol solutes other than serum sodium, serum urea nitrogen, and serum glucose (5).
In another study by Khajuria et al. the serum ethanol concentration was measured in SI units, and the relationship between the osmolal concentration of ethanol and serum ethanol concentration in mmol/L was expressed by the following regression equation: Osmolal Gap = 1.2(Ethanol [mmol/L]) + 16.7 (6). In addition, Geller et al. demonstrated that the serum ethanol concentration in mmol/L is related to the osmolal gap by the formula: Ethanol [mmol/L] = 0.83 x osmolal gap (7). Similar to the previous studies by Purssell et al. and Garrard et al., an inherent limitation of these studies is that the osmotic contribution of ethanol is also determined by the difference in measured serum osmolality and calculated serum osmolality (6, 7).
Although our study is not a clinical prospective study, the true osmotic contribution of ethanol to serum osmolality is best determined by an in-vitro study. Alcoholic beverages that are safe for human consumption are <200 proof (100%) ethanol. In a clinical prospective study, consumption of ethanol <200 proof will result in a dilution of the osmolal concentrations of solutes in the serum due to the water content of the ingested alcoholic beverage. Therefore, changes in the measured serum osmolality will be due to both the ethanol content and water content of the ingested alcoholic beverage. In contrast, the addition of 200 proof (100%) ethanol to a serum sample in-vitro results in a change in measured serum osmolality that is due solely to the ethanol added.
In conclusion, we have demonstrated that the osmolal concentration of ethanol can be predicted based on its molar concentration and that the osmolal concentration of ethanol is equal to the serum ethanol level in mg/dl divided by 4.6. When evaluating patients with suspected methanol or ethylene glycol intoxication, this is the conversion factor that should be used clinically to determine the contribution of ethanol to the increased serum osmolal gap.
Data Availability Statement
All datasets generated for this study are included in the article.
Ethics Statement
UCLA Institutional Review Board has waived the requirement for ethical approval and written informed consent for participants in this study due to the samples used in this study being de-identified residual samples for patient care. This study was carried out in accordance with the national legislation and institutional requirements.
Author Contributions
MN: conception and design of research. LS, LK, KT, MD, GR, and IK: conducted the experiments. MN, D-SN, and M-KN: analyzed the data. MN: interpreted results of experiments and drafted the manuscript. MN, LS, and IK: edited and revised the manuscript and approved final version of the manuscript. D-SN and M-KN: prepared figure and tables.
Funding
IK was supported by funds from the NIH (DK077162), the Allan Smidt Charitable Fund, the Ralph Block Family foundation, and the Factor Family Foundation.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
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Keywords: ethanol, osmolal gap, osmolality, methanol, ethylene glycol
Citation: Nguyen MK, Song L, Kao L, Tong K, De La Cruz MJ, Rodriguez G, Nguyen M-K, Nguyen D-S and Kurtz I (2020) Is the Osmolal Concentration of Ethanol Greater Than Its Molar Concentration? Front. Med. 6:306. doi: 10.3389/fmed.2019.00306
Received: 26 October 2019; Accepted: 04 December 2019;
Published: 08 January 2020.
Edited by:
Michael L. Moritz, University of Pittsburgh, United StatesReviewed by:
Gautam Bhave, Vanderbilt University, United StatesHelbert Rondon-Berrios, University of Pittsburgh, United States
Copyright © 2020 Nguyen, Song, Kao, Tong, De La Cruz, Rodriguez, Nguyen, Nguyen and Kurtz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Minhtri K. Nguyen, bXRuZ3V5ZW4mI3gwMDA0MDttZWRuZXQudWNsYS5lZHU=