title: Determinants of metabolic acidosis among hemodialysis patients.
abstract: Metabolic acidosis is frequently present, poorly controlled, and associated with adverse effects among hemodialysis patients. Potential determinants of metabolic acidosis include endogenous acid production, administration of alkali, neutralization of acid by buffers, dilution of serum bicarbonate by interdialytic fluid gain, and loss of bicarbonate in stool. Understanding the relative importance of these determinants may help guide efforts to manage metabolic acidosis. We used chart abstraction, patient interviews, and laboratory testing to assess variables related to acid production (protein breakdown), alkali administration (dialysis dose, missed treatments, dialysate bicarbonate concentration, oral bicarbonate supplements), acid buffering (phosphorus binders), dilution of bicarbonate (interdialytic weight gain), and loss of bicarbonate in stool (diarrhea) for 190 randomly selected patients from 44 hemodialysis facilities. We used multivariate analyses to determine which potential determinants were independently associated with predialysis serum bicarbonate levels. Of all patients, 30% had metabolic acidosis (serum bicarbonate level <22 mEq/L). On multivariate analysis, metabolic acidosis was more likely with increased protein nitrogen appearance (odds ratio [OR] 1.60 per 0.2 g/kg/day, p=0.001) and less likely with increased Kt/V (OR 0.61 per 0.20 increase in Kt/V, p<0.001) and with increased calcium carbonate use (OR 0.38 per 2 g/day, p=0.003). Key determinants of metabolic acidosis among hemodialysis patients are protein breakdown, dialysis dose, and specific phosphorus binders. Further work is needed to develop interventions to address these determinants.
authors.affiliation: Division of Nephrology, Metrohealth Medical Center, Case Western Reserve University, Cleveland, Ohio 44109, USA.
authors.forename: Khaldoun
authors.initials: K
authors.lastname: Soudan
authors.forename: Edmond S
authors.initials: ES
authors.lastname: Ricanati
authors.forename: Janeen B
authors.initials: JB
authors.lastname: Leon
authors.forename: Ashwini R
authors.initials: AR
authors.lastname: Sehgal
mesh_terms: D000138:Acidosis / Q000175:diagnosis* / Q000453:epidemiology* / Q000209:etiology; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D001774:Blood Chemical Analysis; D015331:Cohort Studies; D005260:Female; D006801:Humans; D015994:Incidence; D007676:Kidney Failure, Chronic / Q000175:diagnosis / Q000628:therapy*; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D006435:Renal Dialysis / Q000009:adverse effects* / Q000379:methods; D012720:Severity of Illness Index; D017678:Sex Distribution