AI Article Synopsis

  • The study developed a risk prediction model for first-year mortality (FYM) in dialysis patients with end-stage renal disease by analyzing patient data from a single center between 2005-2010.
  • A total of 983 patients were analyzed, revealing that FYM was 17%, with significant predictors including low left ventricular ejection fraction, age over 70, specific serum levels, and vascular diseases.
  • The risk factors were summarized into an acronym, UREA5, with scores assigned to each factor, showing that higher scores corresponded to increasing FYM percentages post-dialysis.

Article Abstract

We aimed to develop a risk prediction model for first-year mortality (FYM) in incident dialysis patients with end-stage renal disease. We retrospectively examined patient comorbidities and biochemistry, prior to dialysis initiation, using a single-center, prospectively maintained database from 2005-2010, and analyzed these variables in relation to FYM. A total of 983 patients were studied. 22% had left ventricular ejection fraction (LVEF) <45%. FYM was 17%, and independent predictors included URate <500 or >600 μmol/l, LVEF <45% (higher odds ratio if <30%), Age >70 years, Arteriopathies (cerebrovascular and/or peripheral-vascular diseases), serum Albumin <30 g/l, and Alkaline phosphatase >80 U/l (p < 0.05, C-statistic 0.74), and these constitute the acronym UREA5. Using linear modeling, risk weightage/integer of 3 was assigned to LVEF <30%, 2 to age >70 years, and 1 to each remaining variable. Cumulative UREA5 scores of ≤ 1, 2, 3, 4, and ≥ 5 were associated with FYM of 6, 8, 22, 31, and 46%, respectively (p < 0.0001). Increasing UREA5 scores were strongly associated with stepwise worsening of FYM after dialysis initiation.

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Source
http://dx.doi.org/10.1159/000357640DOI Listing

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