Diagnostic accuracy of calculated serum osmolarity to predict dehydration in older people: adding value to pathology laboratory reports
Open accessAbstract
Objectives: To assess which osmolarity equation best predicts directly measured serum/plasma osmolality and whether its use could add value to routine blood test results through screening for dehydration in older people. Design: Diagnostic accuracy study. Participants: Older people (≥65 years) in 5 cohorts: Dietary Strategies for Healthy Ageing in Europe (NU-AGE, living in the community), Dehydration Recognition In our Elders (DRIE, living in residential care), Fortes (admitted to acute medical care), Sjöstrand (emergency room) or Pfortmueller cohorts (hospitalised with liver cirrhosis). Reference standard for hydration status: Directly measured serum/plasma osmolality: current dehydration (serum osmolality >300 mOsm/kg), impending/current dehydration (≥295 mOsm/kg). Index tests: 39 osmolarity equations calculated using serum indices from the same blood draw as directly measured osmolality. Results: Across 5 cohorts 595 older people were included, of whom 19% were dehydrated (directly measured osmolality >300 mOsm/kg). Of 39 osmolarity equations, 5 showed reasonable agreement with directly measured osmolality and 3 had good predictive accuracy in subgroups with diabetes and poor renal function. Two equations were characterised by narrower limits of agreement, low levels of differential bias and good diagnostic accuracy in receiver operating characteristic plots (areas under the curve >0.8). The best equation was osmolarity=1.86×(Na + + K + )+1.15×glucose+urea+14 (all measured in mmol/L). It appeared useful in people aged ≥65 years with and without diabetes, poor renal function, dehydration, in men and women, with a range of ages, health, cognitive and functional status. Conclusions: Some commonly used osmolarity equations work poorly, and should not be used. Given costs and prevalence of dehydration in older people we suggest use of the best formula by pathology laboratories using a cutpoint of 295 mOsm/L (sensitivity 85%, specificity 59%), to report dehydration risk opportunistically when serum glucose, urea and electrolytes are measured for other reasons in older adults. Trial registration numbers: DRIE: Research Register for Social Care, 122273; NU-AGE: ClinicalTrials.gov NCT01754012 .
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In older adults, renal function is often poor so that renal parameters no longer accurately signal low-intake dehydration.
“In older adults, renal function is often poor so that renal parameters no longer accurately signal low-intake dehydration (7,225,226).”
From ESPEN practical guideline: Clinical nutrition and hydration in geriatrics (2022) · cites this paper as [225]
One equation (osmolarity = 1.86 × (Na+ + K+) + 1.15 × glucose + urea + 14) usefully predicted serum osmolality in people aged ≥65 years with and without diabetes, poor renal function, dehydration, in men and women, in the community, residential care, and hospital, with a range of ages, health, cognitive and functional status.
“However, one equation (osmolarity = 1.86 × (Na+ + K+) + 1.15 × glucose + urea + 14 (all measured in mmol/L)) usefully predicted serum osmolality in people aged ≥65 years with and without diabetes, poor renal function, dehydration, in men and women, in the community, residential care, and hospital, with a range of ages, health, cognitive and functional status (225,229).”
From ESPEN practical guideline: Clinical nutrition and hydration in geriatrics (2022) · cites this paper as [225]
Most existing serum osmolarity equations are not diagnostically accurate to calculate serum osmolality in older adults.
“Work with a set of European cohorts of older adults has suggested that most existing serum osmolarity equations are not diagnostically accurate to calculate serum osmolality in older adults (225,229).”
From ESPEN practical guideline: Clinical nutrition and hydration in geriatrics (2022) · cites this paper as [225]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003) · BMJ · doi:10.1136/bmj.326.7379.41 · Cited by 3,215
Biological variation and diagnostic accuracy of dehydration assessment markers
Cheuvront, S. N., Ely, B. R., Kenefick, R. W., & Sawka, M. N. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29490 · Cited by 367 · see citing works
Water-loss dehydration and aging
Hooper, L., Bunn, D., Jimoh, F. O., & Fairweather-Tait, S. J. (2014) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2013.11.009 · Cited by 283 · see citing works
Self-citationCalculated vs measured plasma osmolalities revisited.
Bhagat, C. I., Garcia-Webb, P., Fletcher, E., & Beilby, J. P. (1984) · Clinical Chemistry · doi:10.1093/clinchem/30.10.1703 · Cited by 90 · see citing works
Berendsen, A., Santoro, A., Pini, E., Cevenini, E., Ostan, R., Pietruszka, B., Rolf, K., Cano, N., Caille, A., Lyon-Belgy, N., et al. (2013) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2013.10.002 · Cited by 82 · see citing works
Self-citationPlasma Hypertonicity: Another Marker of Frailty?
Stookey, J. D., Purser, J. L., Pieper, C. F., & Cohen, H. J. (2004) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2004.52361.x · Cited by 80 · see citing works
Validation of equations used to predict plasma osmolality in a healthy adult cohort
Heavens, K. R., Kenefick, R. W., Caruso, E. M., Spitz, M. G., & Cheuvront, S. N. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.091009 · Cited by 60 · see citing works
Flagged first, then by citations
Research works printed but not linked: 41
- [1]Siervo M, Bunn D, Prado C Accuracy of prediction equations for serum osmolarity in frail older people with and without diabetes. Am J Clin Nutr 2014; 100: 867– 76. 10.3945/ajcn.114.086769 25030781 PMC4135495 · DOI · Paper page
- [2]El-Sharkawy AM, Sahota O, Maughan RJ Hydration in the older hospital patient—is it a problem? Age Ageing 2014; 43: i33– 5. 10.1093/ageing/afu046.1 · DOI
- [3]Stookey JD, Pieper CF, Cohen HJ Is the prevalence of dehydration among community-dwelling older adults really low? Informing current debate over the fluid recommendation for adults aged 70+years. Public Health Nutr 2005; 8: 1275– 85. 10.1079/PHN2005829 16372923 · DOI
- [4]Stookey JD High prevalence of plasma hypertonicity among community-dwelling older adults: results from NHANES III. J Am Diet Assoc 2005; 105: 1231– 9. 10.1016/j.jada.2005.05.003 16182639 · DOI
- [5]Bhalla A, Sankaralingam S, Dundas R Influence of raised plasma osmolality on clinical outcome after acute stroke. Stroke 2000; 31: 2043– 8. 10.1161/01.STR.31.9.2043 10978027 · DOI · Paper page
- [7]Wachtel TJ, Tetu-Mouradjian LM, Goldman DL Hyperosmolarity and acidosis in diabetes mellitus: a three-year experience in Rhode Island. J Gen Intern Med 1991; 6: 495– 502. 10.1007/BF02598216 1765864 · DOI · Paper page
- [8]Deardorff DL Osmotic strength, osmolality, and osmolarity. Am J Hosp Pharm 1980; 37: 504– 9. 6990751
- [9]Thomas DR, Cote TR, Lawhorne L Understanding clinical dehydration and its treatment. J Am Med Dir Assoc 2008; 9: 292– 301. 10.1016/j.jamda.2008.03.006 18519109 · DOI · Paper page
- [10]Naitoh M, Burrell LM Thirst in elderly subjects. In: Vellas B, Albarede JL, Garry PJ, eds. Hydration and aging. Paris: Serdi, 1998: 33– 46. 10995062
- [12]Cheuvront SN, Kenefick RW, Charkoudian N Physiologic basis for understanding quantitative dehydration assessment. Am J Clin Nutr 2013; 97: 455– 62. 10.3945/ajcn.112.044172 23343973 · DOI · Paper page
- [14]Perrier E, Vergne S, Klein A Hydration biomarkers in free-living adults with different levels of habitual fluid consumption. Br J Nutr 2013; 109: 1678– 87. 10.1017/S0007114512003601 22935250 PMC3638312 · DOI
- [15]Johnson EC, Muñoz CX, Le Bellego L Markers of the hydration process during fluid volume modification in women with habitual high or low daily fluid intakes. Eur J Appl Physiol 2015; 115: 1067– 74. 10.1007/s00421-014-3088-2 25564016 · DOI
- [16]Hooper L, Abdelhamid A, Atreed NJ Clinical symptoms, signs and tests for identification of impending and current water-loss dehydration in older people. Cochrane Database Syst Rev 2015; 4: CD009647 10.1002/14651858.CD009647.pub2 PMC7097739 25924806 · DOI · Paper page
- [17]Fortes MB, Raymond-Barker P, Bishop C Is this elderly patient dehydrated? Diagnostic accuracy of hydration assessment using physical signs, urine, and saliva markers. J Am Med Dir Assoc 2015; 16: 221– 8. 10.1016/j.jamda.2014.09.012 25444573 · DOI
- [18]Vivanti A, Yu L, Palmer M Short-term body weight fluctuations in older well-hydrated hospitalised patients. J Hum Nutr Diet 2013; 26: 429– 35. 10.1111/jhn.12034 23521346 · DOI
- [20]Thomas DR, Tariq SH, Makhdomm S Physician misdiagnosis of dehydration in older adults. J Am Med Dir Assoc 2003; 4: 251– 4. 10.1097/01.JAM.0000083444.46985.16 12959652 · DOI
- [21]Kyle UG, Bosaeus I, De Lorenzo AD Bioelectrical impedance analysis—part I: review of principles and methods. Clin Nutr 2004; 23: 1226– 43. 10.1016/j.clnu.2004.06.004 15380917 · DOI · Paper page
- [22]Kafri MW, Myint PK, Doherty D The diagnostic accuracy of multi-frequency bioelectrical impedance analysis in diagnosing dehydration after stroke. Med Sci Monit 2013; 19: 548– 70. 10.12659/MSM.883972 23839255 PMC3711909 · DOI
- [23]Olde Rikkert MGM, van't Hof MA, Baadenhuysen H Individuality and responsiveness of biochemical indices of dehydration in hospitalized elderly patients. Age Ageing 1998; 27: 311– 19. 10.1093/ageing/27.3.311 · DOI
- [24]Institute of Medicine. Panel on dietary reference intakes for electrolytes and water. Dietary reference intakes for water, potassium, sodium, chloride, and sulfate. Washington DC, USA: National Academies Press, 2004.
- [25]Cheuvront SN, Kenefick RW, Sollanek KJ Water-deficit equation: systematic analysis and improvement. Am J Clin Nutr 2013; 97: 79– 85. 10.3945/ajcn.112.046839 23235197 · DOI
- [28]Longmore M, Wilkinson IB, Davidson EH Clinical Chemistry. In: Oxford handbook of clinical medicine. 8th edn Oxford: Oxford University Press, 2010: 682.
- [29]Joint British Diabetes Societies. The management of the hyperosmolar hyperglycaemic state (HHS) in adults with diabetes. 2012 http://wwwdiabetesorguk/Documents/Position%20statements/JBDS-IP-HHS-Adults.pdf JBDS 06 PMC10107355 36370077
- [30]Levey AS, Bosch JP, Lewis JB A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 1999; 130: 461– 70. 10.7326/0003-4819-130-6-199903160-00002 10075613 · DOI · Paper page
- [32]Santoro A, Pini A, Scurti M Combating inflammaging through a Mediterranean whole diet approach: the NU-AGE project's conceptual framework and design. Mech Ageing Dev 2014; 136–137: 3– 13. 10.1016/j.mad.2013.12.001 24342354 · DOI
- [34]Sjöstrand F, Rodhe P, Berglund E The use of a noninvasive hemoglobin monitor for volume kinetic analysis in an emergency room setting. Anesth Analg 2013; 116: 337– 42. 10.1213/ANE.0b013e318277dee3 23302975 · DOI
- [35]Pfortmueller CA, Wiemann C, Funk G-C Hypoglycemia is associated with increased mortality in patients with acute decompensated liver cirrhosis. J Crit Care 2014; 29: 316.e7– 12. 10.1016/j.jcrc.2013.11.002 24332992 · DOI
- [36]Fazekas AS, Funk G-C, Klobassa DS Evaluation of 36 formulas for calculating plasma osmolality. Intensive Care Med 2013; 39: 302– 8. 10.1007/s00134-012-2691-0 23081685 · DOI
- [39]Gerich JE, Martin MM, Recant L Clinical and metabolic characteristics of hyperosmolar nonketotic coma. Diabetes 1971; 20: 228– 38. 10.2337/diab.20.4.228 4994561 · DOI
- [40]Hoffman RS, Smilkstein MJ, Howland MA Osmol gaps revisited: normal values and limitations. J Toxicol Clin Toxicol 1993; 31: 81– 93. 10.3109/15563659309000375 8433417 · DOI
- [41]Koga Y, Purssell RA, Lynd LD The irrationality of the present use of the osmole gap: applicable physical chemistry principles and recommendations to improve the validity of current practices. Toxicol Rev 2004; 23: 203– 11. 10.2165/00139709-200423030-00006 15862086 · DOI
- [43]Cheuvront SN, Kenefick RW, Heavens KR A comparison of whole blood and plasma osmolality and osmolarity. J Clin Lab Anal 2014; 28: 368– 73. 10.1002/jcla.21695 24648281 PMC6807512 · DOI
- [44]Zweig MH, Campbell G Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 1993; 39: 561– 77. 8472349
- [46]Bland JM, Altman DG Measuring agreement in method comparison studies. Stat Methods Med Res 1999; 8: 135– 60. 10.1191/096228099673819272 10501650 · DOI · Paper page
- [47]Khajuria A, Krahn J Osmolality revisited-deriving and validating the best formula for calculated osmolality. Clin Biochem 2005; 38: 514– 19. 10.1016/j.clinbiochem.2005.03.001 15885229 · DOI
- [48]Seifarth CC, Miertschischk J, Hahn EG Measurement of serum and plasma osmolality in healthy young humans—influence of time and storage conditions. Clin Chem Lab Med 2004; 42: 927– 32. 10.1515/CCLM.2004.150 15387444 · DOI
- [49]Bohnen N, Terwel D, Markerink M Pitfalls in the measurement of plasma osmolality pertinent to research in vasopressin and water metabolism. Clin Chem 1992; 38: 2278– 80. 1424124
- [50]Redetzki HM, Hughes JR, Redetzki JE Differences between serum and plasma osmolalities and their relationship to lactic acid values. Exp Biol Med 1972; 139: 315– 18. 10.3181/00379727-139-36133 5007477 · DOI
- [51]Burnett RW, Covington AK, Fogh-Andersen N Use of ion-selective electrodes for blood-electrolyte analysis. Recommendations for Nomenclature, Definitions and Conventions. International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). Scientific Division Working Group on Selective Electrodes. Clin Chem Lab Med 2000; 38: 363– 70. 10.1515/CCLM.2000.052 10928658 · DOI
- [52]Dimeski G, Morgan TJ, Presneill JJ Disagreement between ion selective electrode direct and indirect sodium measurements: estimation of the problem in a tertiary referral hospital. J Crit Care 2012; 27: 326.e9– 16. 10.1016/j.jcrc.2011.11.003 22227082 · DOI
- [53]Edelman IS, Leibman J, O'Meara MP Interrelations between serum sodium concentration, serum osmolarity, and total exchangeable sodium, total exchangeable potassium, and total body water. J Clin Invest 1958; 37: 1236– 56. 10.1172/JCI103712 13575523 PMC1062793 · DOI · Paper page
Cited by
Sorted by citations
ESPEN practical guideline: Clinical nutrition and hydration in geriatrics
Volkert, D., Beck, A. M., Cederholm, T., Cruz-Jentoft, A., Hooper, L., Kiesswetter, E., Maggio, M., Raynaud-Simon, A., Sieber, C., Sobotka, L., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.01.024 · Cited by 516 · see citing works
Self-citationMcCubbin, A. J., Lopez, M. B., Cox, G. R., Caldwell Odgers, J. N., & Costa, R. J. S. (2019) · European Journal of Applied Physiology · doi:10.1007/s00421-019-04199-2 · Cited by 30 · see citing works
- Authors
- Hooper, L., Abdelhamid, A., Ali, A., Bunn, D. K., Jennings, A., John, W. G., Kerry, S., Lindner, G., Pfortmueller, C. A., Sjöstrand, F., Walsh, N. P., Fairweather-Tait, S. J., Potter, J. F., Hunter, P. R., & Shepstone, L.
- Affiliations
- University of East Anglia (GB)
- Norfolk and Norwich University Hospital (GB)
- University Hospital of Bern (CH)
- Medical University of Vienna (AT)
- Stockholm South General Hospital (SE)
- Bangor University (GB)
- Norwich Medical School, University of East Anglia, Norwich, UK
- Corresponding author
- Hooper, Lee
- ORCID
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2015-10
- Volume
- 5
- Issue
- 10
- Pages
- e008846
- ISSN
- 2044-6055 (ISSN-L)
- PMC
- PMC4636668
- OpenAlex
- W2173353640
- Cited by
- 109
- References
- 7
- Citations by year
- 2026: 13 · 2025: 14 · 2024: 9 · 2023: 14 · 2022: 7 · 2021: 9 · 2020: 13 · 2019: 10 · 2018: 9 · 2017: 2 · 2016: 7 · 2015: 1 · 2012: 1
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMJ Open (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institute for Health and Care Research (CDF-2011-04-025, 266486)
- European Commission (266486)
- Karolinska Institutet
- Stockholms Läns Landsting
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Electrolyte and hormonal disorders
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Keywords
- dehydration, older adults, serum osmolality, diagnostic accuracy, electrolytes, serum glucose, urea, renal function, diabetes mellitus, liver cirrhosis, residential care, emergency department, hydration assessment, sodium and potassium, opportunistic screening, cost-effectiveness, limits of agreement
- MeSH terms
- Adult, Aged, Aged, 80 and over, Dehydration, Europe, Female, Humans, Male, Middle Aged, Osmolar Concentration, Prognosis, ROC Curve, Sensitivity and Specificity, Cohort Studies, Multicenter Studies as Topic, Randomized Controlled Trials as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review