Serum β-2 Microglobulin Levels Predict Mortality in Dialysis Patients
Author(s) -
Alfred K. Cheung,
Michael V. Rocco,
Guofen Yan,
John K. Leypoldt,
Nathan W. Levin,
Tom Greene,
Lawrence Y. Agodoa,
James L. Bailey,
Gerald J. Beck,
William R. Clark,
Andrew S. Levey,
Daniel B. Ornt,
Gerald Schulman,
Steven Schwab,
Brendan P. Teehan,
Garabed Eknoyan
Publication year - 2005
Publication title -
journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.451
H-Index - 279
eISSN - 1533-3450
pISSN - 1046-6673
DOI - 10.1681/asn.2005020132
Subject(s) - medicine , dialysis , beta 2 microglobulin , hemodialysis , renal function , confidence interval , diabetes mellitus , body mass index , gastroenterology , proportional hazards model , endocrinology , urology , creatinine
In the randomized Hemodialysis (HEMO) Study, chronic high-flux dialysis, as defined by higher beta-2 microglobulin (beta(2)M) clearance, compared with low-flux dialysis did not significantly alter all-cause mortality in the entire cohort but was associated with lower mortality in long-term dialysis patients. This analysis examined the determinants of serum beta(2)M levels and the associations of serum beta(2)M levels or dialyzer beta(2)M clearance with mortality. In a multivariable regression model that examined 1704 patients, baseline residual kidney urea clearance and dialyzer beta(2)M clearance were strong predictors of predialysis serum beta(2)M levels at 1 mo of follow-up, with regression coefficients of -7.21 (+/-0.69 SE) mg/L per ml/min per 35 L urea volume (P < 0.0001) and -1.94 (+/-0.30) mg/L per ml/min (P < 0.0001),respectively. In addition, black race and baseline years on dialysis correlated positively whereas age, diabetes, serum albumin, and body mass index correlated negatively with serum beta(2)M levels (P < 0.05). In time-dependent Cox regression models, mean cumulative predialysis serum beta(2)M levels but not dialyzer beta(2)M clearance were associated with all-cause mortality (relative risk = 1.11 per 10-mg/L increase in beta(2)M level; 95% confidence interval 1.05 to 1.19; P = 0.001), after adjustment for residual kidney urea clearance and number of prestudy years on dialysis. This association is supportive of the potential value of beta(2)M as a marker to guide chronic hemodialysis therapy.
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