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Original Article| Volume 59, P60-64, January 2019

Hyponatraemia during an emergency medical admission as a marker of illness severity & case complexity

Published:August 07, 2018DOI:https://doi.org/10.1016/j.ejim.2018.08.002

      Highlights

      • Hyponatraemia at admission predicts in-hospital mortality.
      • This effect is largely modulated through illness severity and case complexity.
      • The frequency of abnormal admission sodium has decreased over time.
      • In-hospital mortality has also decreased over time.

      Abstract

      Background

      Altered sodium balance at time of an emergency medical admission adversely impacts on outcome; whether hyponatraemia is independently associated with outcomes or a surrogate of acute illness severity has been debated.

      Methods

      All emergency medical admissions between 2002 and 2017 were studied and a risk score calculated. We compared univarate deciles of admission sodium using a multivariable model, adjusting for risk score.

      Results

      There were 106,586 admissions in 54,928 patients. Patients with lower sodium at admission were older at 66.7 years (IQR 46.7–79.5) compared with 63.3 years (IQR 42.9–78.2) with a longer length of stay (LOS) of 6.8 days (IQR 3.0–14.7) versus 4.9 days (IQR 1.8–10.9). They had a higher 30-day in-hospital mortality at 6.4% vs 4.4% (p < 0.001). Admission sodium predicted survival – OR 0.89 (95%CI 0.88–0.90). We adjusted the model with a Risk Score that is predictive and exponentially related to 30-day in-hospital mortality. When adjusted for Risk Score, the admission sodium value was less predictive – OR 0.95 (95%CI 0.92–0.97). The cumulative percentages within the lowest five deciles fell from 63.3% between 2002 and 2009 to 48.1% from 2010 to 2017. The slope of the prediction line relating admission sodium to mortality did not change over time but a lower mortality rate was predicted at any given sodium level.

      Conclusion

      Hyponatraemia at the time of an emergency medical admission is predictive and probably a marker of Acuity Illness Severity and Case Complexity. Both the frequency of abnormality in admission sodium and mortality have fallen over time.

      Keywords

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      References

        • Langlands A.
        • Dowdle R.
        • Elliott A.
        • Gaddie J.
        • Graham A.
        • Johnson G.
        • et al.
        RCPE UK consensus statement on acute medicine, November 2008.
        Br J Hosp Med (Lond). 2009; 70 ([S6–7])
        • Scott I.
        • Vaughan L.D.B.
        Effectiveness of acute medical units in hospitals: a systematic review.
        International J Qual Health Care. 2009; 21: 397-407
        • Byrne D.
        • Silke B.
        Acute medical units: review of evidence.
        Eur J Intern Med. 2011; 22: 344-347
        • Rooney T.
        • Bennett K.
        • Silke B.
        Reduced mortality and length of stay in a teaching hospital after establishment of an acute medical admission unit (AMAU): a 5-year prospective study.
        Eur J Intern Med. 2008; 19E3
        • Rooney T.
        • Moloney E.D.
        • Bennett K.
        • O'Riordan D.
        • Silke B.
        Impact of an acute medical admission unit on hospital mortality: a 5-year prospective study.
        QJM. 2008; 101: 457-465
        • Moloney E.D.
        • Smith D.
        • Bennett K.
        • O'Riordan D.
        • Silke B.
        Impact of an acute medical admission unit on length of hospital stay, and emergency department 'wait times'.
        QJM. 2005; 98: 283-289
        • Conway R.
        • O'Riordan D.
        • Silke B.
        Long-term outcome of an AMAU--a decade's experience.
        Q J Med. 2014; 107: 43-49
        • Freire A.X.
        • Bridges L.
        • Umpierrez G.E.
        • Kuhl D.
        • Kitabchi A.E.
        Admission hyperglycemia and other risk factors as predictors of hospital mortality in a medical ICU population.
        Chest. 2005; 128: 3109-3116
        • Goldwasser P.
        • Feldman J.
        Association of serum albumin and mortality risk.
        J Clin Epidemiol. 1997; 50: 693-703
        • Umpierrez G.E.
        • Isaacs S.D.
        • Bazargan N.
        • You X.
        • Thaler L.M.
        • Kitabchi A.E.
        Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes.
        J Clin Endocrinol Metab. 2002; 87: 978-982
        • Suleiman M.
        • Hammerman H.
        • Boulos M.
        • et al.
        Fasting glucose is an important independent risk factor for 30-day mortality in patients with acute myocardial infarction: a prospective study.
        Circulation. 2005; 111: 754-760
        • Stranders I.
        • Diamant M.
        • Van Gelder R.E.
        • et al.
        Admission blood glucose level as risk indicator of death after myocardial infarction in patients with and without diabetes mellitus.
        Arch Intern Med. 2004; 164: 982-988
        • Krinsley J.S.
        Association between hyperglycemia and in-creased hospital mortality in a heterogeneous population of critically ill patients.
        Mayo Clin Proc. 2003; 78: 1471-1478
      1. Thorax. 2001; 56 ([IV1–64])
        • Silke B.
        • Kellett J.
        • Rooney T.
        • Bennett K.
        • O'Riordan D.
        An improved medical admissions risk system using multivariable fractional polynomial logistic regression modelling.
        Q J Med. 2010; 103: 23-32
        • Stachon A.
        • Segbers E.
        • Hering S.
        • Kempf R.
        • Holland-Letz T.
        • Krieg M.
        A laboratory-based risk score for medical intensive care patients.
        Clin Chem Lab Med. 2008; 46: 855-862
        • Asadollahi K.
        • Hastings I.M.
        • Beeching N.J.
        • Gill G.V.
        Laboratory risk factors for hospital mortality in acutely admitted patients.
        QJM. 2007; 100: 501-507
        • Froom P.
        • Shimoni Z.
        Prediction of hospital mortality rates by admission laboratory tests.
        Clin Chem. 2006; 52: 325-328
        • Whelan B.
        • Bennett K.
        • O'Riordan D.
        • Silke B.
        Serum sodium as a risk factor for in-hospital mortality in acute unselected general medical patients.
        QJM. 2009; 102: 175-182
        • Asadollahi K.
        • Beeching N.
        • Gill G.
        Hyponatraemia as a risk factor for hospital mortality.
        QJM. 2006; 99: 877-880
        • Waikar S.S.
        • Mount D.B.
        • Curhan G.C.
        Mortality after hospitalization with mild, moderate, and severe hyponatremia.
        Am J Med. 2009; 122: 857-865
        • Reynolds R.M.
        • Padfield P.L.
        • Seckl J.R.
        Disorders of sodium balance.
        BMJ. 2006; 332: 702-705
        • Validity of the International Classification of Diseases
        10th revision discharge diagnosis codes for hyponatraemia in the Danish National Registry of Patients.
        2014
        • Nardi R.
        • Fiorino S.
        • Borioni D.
        • Agostini D.
        • D'Anastasio C.
        • Marchetti C.
        • et al.
        Comprehensive complexity assessment as a key tool for the prediction of in-hospital mortality in heart failure of aged patients admitted to internal medicine wards.
        Arch Gerontol Geriatr. 2007; 44: 279-288
        • Wartenberg K.E.
        • Schmidt J.M.
        • Claassen J.
        • Temes R.E.
        • Frontera J.A.
        • Ostapkovich N.
        • et al.
        Impact of medical complications on outcome after subarachnoid hemorrhage.
        Crit Care Med. 2006; 34 ([quiz 24]): 617-623
        • Kraft M.D.
        • Btaiche I.F.
        • Sacks G.S.
        • Kudsk K.A.
        Treatment of electrolyte disorders in adult patients in the intensive care unit.
        Am J Health Syst Pharm. 2005; 62: 1663-1682
        • Gheorghiade M.
        • Abraham W.T.
        • Albert N.M.
        • Gattis Stough W.
        • Greenberg B.H.
        • O'Connor C.M.
        • et al.
        Relationship between admission serum sodium concentration and clinical outcomes in patients hospitalized for heart failure: an analysis from the OPTIMIZE-HF registry.
        Eur Heart J. 2007; 28: 980-988
        • Mohammed A.A.
        Kimmenade RRJv, Richards M, Bayes-Genis a, pinto Y, Moore SA, et al. hyponatremia, natriuretic peptides, and outcomes in acutely decompensated heart failure: results from the international collaborative of NT-proBNP study.
        Circ Heart Fail. 2010; 3: 354-361
        • Forfia P.R.
        • Mathai S.C.
        • Fisher M.R.
        • Housten-Harris T.
        • Hemnes A.R.
        • Champion H.C.
        • et al.
        Hyponatremia predicts right heart failure and poor survival in pulmonary arterial hypertension.
        Am J Respir Crit Care Med. 2008; 177: 1364-1369
        • Chawla A.
        • Sterns R.H.
        • Nigwekar S.U.
        • Cappuccio J.D.
        Mortality and serum sodium: do patients die from or with hyponatremia?.
        Clin J Am Soc Nephrol. 2011; 6: 960-965
        • Royston P.
        • Reitz M.
        • Atzpodien J.
        An approach to estimating prognosis using fractional polynomials in metastatic renal carcinoma.
        Br J Cancer. 2006; 94: 1785-1788
        • Charlson M.E.
        • Pompei P.
        • Ales K.L.
        • MacKenzie C.R.
        A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.
        J Chronic Dis. 1987; 40: 373-383
        • Chotirmall S.H.
        • Picardo S.
        • Lyons J.
        • D'Alton M.
        • O'Riordan D.
        • Silke B.
        Disabling disease codes predict worse outcomes for acute medical admissions.
        Intern Med J. 2014; 44: 546-553
        • Chotirmall S.H.
        • Callaly E.
        • Lyons J.
        • O'Connell B.
        • Kelleher M.
        • Byrne D.
        • et al.
        Blood cultures in emergency medical admissions: a key patient cohort.
        Eur J Emerg Med. 2014; 23: 38-43
        • Beeknoo N.
        • Jones R.
        Factors influencing a & E attendance, admissions and waiting times at two London hospitals.
        Br J Med Med Res. 2016; 17: 1-29
        • O'Loughlin R.
        • Allwright S.
        • Barry J.
        • Kelly A.
        • Teljeur C.
        Using HIPE data as a research and planning tool: limitations and opportunities.
        Ir J Med Sci. 2005; 174 ([discussion 52-7]): 40-45
        • O'Callaghan A.
        • Colgan M.P.
        • McGuigan C.
        • Smyth F.
        • Haider N.
        • O'Neill S.
        • et al.
        A critical evaluation of HIPE data.
        Ir Med J. 2012; 105: 21-23
        • O'Sullivan E.
        • Callely E.
        • O'Riordan D.
        • Bennett K.
        • Silke B.
        Predicting outcomes in emergency medical admissions – role of laboratory data and co-morbidity.
        Acute Med. 2012; 2: 59-65
        • Courtney D.
        • Conway R.
        • Kavanagh J.
        • O'Riordan D.
        • Silke B.
        High-sensitivity troponin as an outcome predictor in acute medical admissions.
        Postgrad Med J. 2014; : 1-7
        • Cournane S.
        • Conway R.
        • Byrne D.
        O&apos;Riordan D, Silke B. Predicting outcomes in emergency medical admissions using a laboratory only nomogram.
        Comput Math Methods Med. 2017; 2017: 1-8
        • Hawkins R.C.
        Age and gender as risk factors for hyponatremia and hypernatremia.
        Clin Chim Acta. 2003; 337: 169-172
        • Sterns R.H.
        Severe symptomatic hyponatremia: treatment and outcome: a study of 64 cases.
        Ann Intern Med. 1987; 107: 656-664
        • Sonnenblick M.
        • Friedlander Y.
        • Rosin A.J.
        Diuretic-induced severe hyponatremia.
        Chest. 1993; 103 ([601–6])
        • Prytherch D.R.
        • Sirl J.S.
        • Schmidt P.
        • Featherstone P.I.
        • Weaver P.C.
        • Smith G.B.
        The use of routine laboratory data to predict in-hospital death in medical admissions.
        Resuscitation. 2005; 66: 203-207
        • Hucker T.R.
        • Mitchell G.P.
        • Blake L.D.
        • Cheek E.
        • Bewick V.
        • Grocutt M.
        • et al.
        Identifying the sick: can biochemical measurements be used to aid decision making on presentation to the accident and emergency department.
        Br J Anaesth. 2005; 94: 735-741
        • Wannamethee G.
        • Whincup P.H.
        • Shaper A.G.
        • Lever A.F.
        Serum sodium concentration and risk of stroke in middle-aged males.
        J Hypertens. 1994; 12: 971-979
        • Renneboog B.
        • Musch W.
        • Fau Vandemergel X.
        • Fau Manto M.U.
        • Fau Decaux G.
        Mild chronic hyponatremia is associated with falls, unsteadiness, and attention deficits. (1555–7162 (Electronic)).
        Am J Med. 2006; 119: 71.e1-71.e8
        • MA-Ohoo Cuesta
        • Garrahy A.
        • Slattery D.
        • Gupta S.
        • Hannon A.M.
        • McGurren K.
        • et al.
        Mortality rates are lower in SIAD, than in hypervolaemic or hypovolaemic hyponatraemia: Results of a prospective observational study. (1365–2265 (Electronic)).
        Clin Endocrinol (Oxf). 2017; 87: 400-406