Association of restless legs syndrome and mortality in end-stage renal disease: an analysis of the United States Renal Data System (USRDS)

BMC Nephrol. 2017 Aug 1;18(1):258. doi: 10.1186/s12882-017-0660-0.

Abstract

Background: Objective of the study is to assess prevalence and survival among end stage renal disease patients with restless legs syndrome (RLS) within a national database (USRDS).

Methods: A case-control, retrospective analysis was performed. Differences in characteristics between the groups, RLS and those with no sleep disorder (NSD), were determined using χ2 tests. Cox proportional hazard regression was used to assess survival between those with RLS and propensity score matched controls.

Results: Cases of restless legs syndrome were defined as patients that had received an ICD-9 code of 333.94 at any point during their treatment (n = 372). RLS group demonstrated a significantly higher proportion of patients with major depressive disorder, dysthymic disorder, anxiety, depression, minor depressive disorder, and psychological disorder. The difference between the survival was not statistically significant in those without sleep disorder as compared to those with RLS (HR =1.16±0.14, p = 0.3).

Conclusions: True prevalence of RLS in dialysis patients can only be estimated if knowledge gap for care providers in diagnosis of RLS is addressed. RLS patients also have increased incidence of certain psychological disorders which needs to be addressed.

Keywords: Diagnosis; End-stage renal disease; Hemodialysis; Mortality; Restless legs syndrome; USRDS.

MeSH terms

  • Aged
  • Case-Control Studies
  • Centers for Medicare and Medicaid Services, U.S.* / statistics & numerical data
  • Cohort Studies
  • Databases, Factual* / statistics & numerical data
  • Female
  • Humans
  • Kidney Failure, Chronic / diagnosis*
  • Kidney Failure, Chronic / mortality*
  • Male
  • Middle Aged
  • Mortality / trends
  • Restless Legs Syndrome / diagnosis*
  • Restless Legs Syndrome / mortality*
  • Retrospective Studies
  • United States / epidemiology