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Abstract: SA-PO767

Variability of Pre-Dialysis Serum Sodium and Its Association with Survival in Hemodialysis Patients: Results of the MONDO Consortium

Session Information

Category: Dialysis

  • 601 Standard Hemodialysis for ESRD

Authors

  • Ye, Xiaoling, Renal Research Institute, New York, New York, United States
  • Kooman, Jeroen, Maastricht University Medical Centre, Maastricht, Netherlands
  • Canaud, Bernard J., FMC Deutschland GmbH, Bad Homburg, Germany
  • Levin, Nathan W., None, New York, New York, United States
  • Marelli, Cristina, Fresenius Medical Care Argentina, buenos Aires, Argentina
  • Power, Albert J., Richard Bright Renal Unit, Bristol, United Kingdom
  • van der Sande, Frank, Maastricht University Medical Centre , Maastricht, Netherlands
  • Thijssen, Stephan, Renal Research Institute, New York, New York, United States
  • Xu, Xiaoqi, Fresenius Medical Care Asia Pacific, Hong Kong, China
  • Usvyat, Len A., Fresenius Medical Care North America, Melrose, Massachusetts, United States
  • Wang, Yuedong, University of California - Santa Barbara, Santa Barbara, California, United States
  • Kotanko, Peter, Renal Research Institute, New York, New York, United States
  • Raimann, Jochen G., Renal Research Institute, New York, New York, United States

Group or Team Name

  • MONDO initiative
Background

Pre-dialysis serum sodium (SNa+) is the main determinant of plasma osmolality. Whereas hyponatremia is associated with adverse outcomes in hemodialysis (HD) patients (pts), variations swings in SNa+ may lead to fluid shifts between the extracellular and intracellular spaces and cell volume changes. The aim of the study was to explore the relationship between SNa+, the rate of change (slope), and the SD of the residual (variability) of SNa+ with all cause of death.

Methods

All incident and prevalent pts from the MONDO initiative with at least 6 SNa+ measurements during baseline (1st year in HD) were selected. Follow-up defined as 2nd year on HD. Survival analysis were applied to study the effect of SNa+, slope and variability on event. Smoothing spline logistic regression models were used to explore the joint effect of (a) SNa+ with variability, and (b) SNa+ with slope on event. Additionally, time to event analysis were used to delineate the association of various demographic and clinical parameters with event.

Results

15, 335 HD pts (63.2 years, 59% males, 24% diabetics) from Europe (10,907), West Asia (1,991), South America (283) and US (2,154) were included. Lower SNa+, positive and negative slope,and higher variability associated with an increased the risk of event. Increased risk of death with higher variability and slopes appeared to be present at all levels of SNa+, with apparently stronger effects for variability than slope (Figure 1). However, the relation between SNa+ variability and slopes with outcome lost significance after adjusted for confounders.

Conclusion

Our findings suggest that SNa+ variability may constitute a novel prognostic indicator. Underlying pathological conditions may explain the relation between SNa+ and outcome.