The mortality risk of overhydration in haemodialysis patients

Volker Wizemann, Peter Wabel, Paul Chamney, Wojciech Zaluska, Ulrich Moissl, Christiane Rode, Teresa Malecka-Masalska, Daniele Marcelli, Volker Wizemann, Peter Wabel, Paul Chamney, Wojciech Zaluska, Ulrich Moissl, Christiane Rode, Teresa Malecka-Masalska, Daniele Marcelli

Abstract

Background: While cardiovascular events remain the primary form of mortality in haemodialysis (HD) patients, few centres are aware of the impact of the hydration status (HS). The aim of this study was to investigate how the magnitude of the prevailing overhydration influences long-term survival.

Methods: We measured the hydration status in 269 prevalent HD patients (28% diabetics, dialysis vintage = 41.2 +/- 70 months) in three European centres with a body composition monitor (BCM) that enables quantitative assessment of hydration status and body composition. The survival of these patients was ascertained after a follow-up period of 3.5 years. The cut off threshold for the definition of hyperhydration was set to 15% relative to the extracellular water (ECW), which represents an excess of ECW of approximately 2.5 l. Cox-proportional hazard models were used to compare survival according to the baseline hydration status for a set of demographic data, comorbid conditions and other predictors.

Results: The median hydration state (HS) before the HD treatment (DeltaHSpre) for all patients was 8.6 +/- 8.9%. The unadjusted gross annual mortality of all patients was 8.5%. The hyperhydrated subgroup (n = 58) presented DeltaHSpre = 19.9 +/- 5.3% and a gross mortality of 14.7%. The Cox adjusted hazard ratios (HRs) revealed that age (HRage = 1.05, 1/year; P < 0.001), systolic blood pressure (BPsys) (HRBPsys = 0.986 1/mmHg; P = 0.014), diabetes (HRDia = 2.766; P < 0.001), peripheral vascular disease (PVD) (HRPVD = 1.68; P = 0.045) and relative hydration status (DeltaHSpre) (HRDeltaHSpre = 2.102 P = 0.003) were the only significant predictors of mortality in our patient population.

Conclusion: The results of our study indicate that the hydration state is an important and independent predictor of mortality in chronic HD patients secondary only to the presence of diabetes. We believe that it is essential to measure the hydration status objectively and quantitatively in order to obtain a more clearly defined assessment of the prognosis of haemodialysis patients.

Figures

Fig. 1
Fig. 1
Kaplan–Meier curve separating the patients for the relative hydration status (ΔHS >15%).
Fig. 2
Fig. 2
Hazard ratio of the relative hydration status (ΔHS >15%) for the unadjusted analysis and the Cox adjusted model (together with the upper and lower limits for the 90% confidence interval).

References

    1. Wystrychowski G, Levin NW. Dry weight: sine qua non of adequate dialysis. Adv Chronic Kidney Dis. 2007;14:e10–e16.
    1. Charra B. ‘Dry weight’ in dialysis: the history of a concept. Nephrol Dial Transplant. 1998;7:1882–1885.
    1. Wizemann V, Schilling M. Dilemma of assessing volume state-the use and limitations of a clinical score. Nephrol Dial Transplant. 1995;10:2114–2117.
    1. Wizemann V, Leibinger A, Mueller K, et al. Influence of hydration state on plasma volume changes during ultrafiltration. Artif Organs. 1995;19:416–419.
    1. Scribner BH, Buri R, Caner JE, et al. The treatment of chronic uremia by means of intermittent hemodialysis: a preliminary report. 1960 [classical article]. J Am Soc Nephrol 1998; 9: 719–726.
    1. Levin NW, Zhu F, Keen M. Interdialytic weight gain and dry weight. Blood Purif. 2001;19:217–221.
    1. Jaeger JQ, Mehta RL. Assessment of dry weight in hemodialysis: an overview. J Am Soc Nephrol. 1999;10:392–403.
    1. Saran R, Bragg-Gresham JL, Levin NW, et al. Longer treatment time and slower ultrafiltration in hemodialysis: associations with reduced mortality in the DOPPS. Kidney Int. 2006;69:1222–1228.
    1. Movilli E, Gaggia P, Zubani R, et al. Association between high ultrafiltration rates and mortality in uraemic patients on regular haemodialysis. A 5-year prospective observational multicentre study. Nephrol Dial Transplant. 2007;22:3547–3552.
    1. Ozkahya M, Ok E, Toz H, et al. Long-term survival rates in haemodialysis patients treated with strict volume control. Nephrol Dial Transplant. 2006;21:3506–3513.
    1. Charra B, Calemard E, Cuche M, et al. Control of hypertension and prolonged survival on maintenance hemodialysis. Nephron. 1983;33:96–99.
    1. Charra B, Calemard E, Ruffet M, et al. Survival as an index of adequacy of dialysis. Kidney Int. 1992;41:1286–1291.
    1. Charra B, Calemard M, Laurent G. Importance of treatment time and blood pressure control in achieving long-term survival on dialysis. Am J Nephrol. 1996;16:35–44.
    1. Kouw PM, Kooman JP, Cheriex EC, et al. Assessment of postdialysis dry weight: a comparison of techniques. J Am Soc Nephrol. 1993;4:98–104.
    1. Leunissen KML, Kouw PM, Kooman JP, et al. New techniques to determine fluid status in hemodialysed patients. Kidney Int. 1993;43:50–56.
    1. Charra B. Fluid balance, dry weight, and blood pressure in dialysis. Hemodial Int. 2007;11:21–31.
    1. Moissl UM, Wabel P, Chamney PW, et al. Body fluid volume determination via body composition spectroscopy in health and disease. Physiol Meas. 2006;27:921–933.
    1. Moissl U, Bosaeus I, Lemmey A, et al. Validation of a 3C model for determination of body fat mass. J Am Soc Nephrol. 2007;18 A:257.
    1. Moissl U, Wabel P, Chamney PW, et al. Validation of a bioimpedance spectroscopy; method for the assessment of fat free mass. NDT Plus. 2008;1(Suppl 2):ii215.
    1. Kraemer M, Rode C, Wizemann V. Detection limit of methods to assess fluid status changes in dialysis patients. Kidney Int. 2006;69:1609–1620.
    1. Chamney PW, Kraemer M, Rode C, et al. A new technique for establishing dry weight in hemodialysis patients via whole body bioimpedance. Kidney Int. 2002;61:2250–2258.
    1. Passauer J, Miller H, Schleser A, et al. Evaluation of clinical dry weight assessment in haemodialysis patients by bioimpedance-spectroscopy. J Am Soc Nephrol. 2007;18 A:256.
    1. Machek P, Jirka T, Moissl U, et al. Optimal fluid status assessed with bioimpedance spectroscopy reduces Imes and hospitalisation in hemodialysis patients. NDT Plus. 2008;1(Suppl 2):ii322–ii322.
    1. Wabel P, Rode C, Moissl U, et al. Accuracy of bioimpedance spectroscopy (BIS) to detect fluid status changes in hemodialysis patients. Nephrol Dial Transplant. 2007;22(Suppl 6):VI 129.
    1. Chamney PW, Wabel P, Moissl UM, et al. A whole-body model to distinguish excess fluid from the hydration of major body tissues. Am J Clin Nutr. 2007;85:80–89.
    1. Wabel P, Moissl U, Chamney P, et al. Towards improved cardiovascular management: the necessity of combining blood pressure and fluid overload. Nephrol Dial Transplant. 2008;9:2965–2971.
    1. Wieskotten S, Heinke S, Wabel P, et al. Bioimpedance-based identification of malnutrition using fuzzy logic. Physiol Meas. 2008;29:639–654.
    1. Wabel P, Chamney PW, Moissl U, et al. Reproducibility of bioimpedance spectroscopy (BIS) for the assessment of body composition and dry weight. J Am Soc Nephrol. 2007;18 A:255.
    1. Agarwal R. Assessment of blood pressure in hemodialysis patients. Semin Dial. 2002;15:299–304.
    1. Locatelli F, Marcelli D, Conte F, et al. Survival and development of cardiovascular disease by modality of treatment in patients with end-stage renal disease. J Am Soc Nephrol. 2001;12:2411–2417.
    1. Rabbat CG, Thorpe KE, Russell JD, et al. Comparison of mortality risk for dialysis patients and cadaveric first renal transplant recipients in Ontario, Canada. J Am Soc Nephrol. 2000;11:917–922.
    1. Elinder CG, Jones E, Briggs JD, et al. Improved survival in renal replacement therapy in Europe between 1975 and 1992: an ERA-EDTA Registry study. Nephrol Dial Transplant. 1999;14:2351–2356.
    1. Pierratos A. Daily nocturnal home hemodialysis. Kidney Int. 2004;65:1975–1986.
    1. Pifer TB, Mccullough KP, Port FK, et al. Mortality risk in hemodialysis patients and changes in nutritional indicators: DOPPS. Kidney Int. 2002;62:2238–2245.
    1. Kaysen GA, Dubin JA, Muller HG, et al. Relationships among inflammation nutrition and physiologic mechanisms establishing albumin levels in hemodialysis patients. Kidney Int. 2002;61:2240–2249.
    1. Kaysen G, Stevenson FT, Depner TA. Determinants of albumin concentration in hemodialysis patients. Am J Kidney Dis. 1997;5:658–668.
    1. Stenvinkel P, Heimburger O, Paultre F, et al. Strong association between malnutrition, inflammation, and atherosclerosis in chronic renal failure. Kidney Int. 1999;55:1899–1911.
    1. Beddhu S, Allen-Brady K, Cheung AK, et al. Impact of renal failure on the risk of myocardial infarction and death. Kidney Int. 2002;62:1776–1783.
    1. Joki N, Hase H, Tanaka Y, et al. Relationship between serum albumin level before initiating haemodialysis and angiographic severity of coronary atherosclerosis in end-stage renal disease patients. Nephrol Dial Transplant. 2006;21:1633–1639.
    1. Bammens B, Evenepoel P, Keuleers H, et al. Free serum concentrations of the protein-bound retention solute p-cresol predict mortality in hemodialysis patients. Kidney Int. 2006;69:1081–1087.
    1. Kakiya R, Shoji T, Tsujimoto Y, et al. Body fat mass and lean mass as predictors of survival in hemodialysis patients. Kidney Int. 2006;70:549–556.
    1. Chamney PW, Moissl U, Wabel P, et al. New device overcomes the problem of erroneous measurement of fat free mass in patients with renal failure. J Am Soc Nephrol. 2007;18 A:453.
    1. Szczech LA, Reddan DN, Klassen PS, et al. Interactions between dialysis-related volume exposures, nutritional surrogates and mortality among ESRD patients. Nephrol Dial Transplant. 2003;18:1585–1591.
    1. Saran R, Bragg-Gresham JL, Levin NW, et al. Longer treatment time and slower ultrafiltration in hemodialysis: associations with reduced mortality in the DOPPS. Kidney Int. 2006;69:1222–1228.
    1. Kimmel PL, Varela MP, Peterson RA, et al. Interdialytic weight gain and survival in hemodialysis patients: effects of duration of ESRD and diabetes mellitus. Kidney Int. 2000;57:1141–1151.
    1. Lopez-Gomez JM, Villaverde M, Jofre R, et al. Interdialytic weight gain as a marker of blood pressure, nutrition, and survival in hemodialysis patients. Kidney Int. 2005;93(Suppl):S63–S68.

Source: PubMed

3
Subscribe