2011
DOI: 10.1053/j.ajkd.2011.03.018
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Serum Albumin as a Predictor of Mortality in Peritoneal Dialysis: Comparisons With Hemodialysis

Abstract: Background Serum albumin predicts mortality in dialysis patients and is used to assess their health status and the quality of delivered care. Whether the threshold level of serum albumin at which mortality risk increases in peritoneal dialysis (PD) patients is the same as for hemodialysis (HD) patients has not been studied. Study Design Observational cohort study of dialysis patients undertaken to determine the survival-predictability of serum albumin in PD patients, and to compare it with that in HD patient… Show more

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Cited by 215 publications
(197 citation statements)
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References 30 publications
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“…Several studies have shown that serum albumin is also an independent predictor of peritonitis in patients on PD (16,32). Hypoalbuminemia, a marker of malnutrition and inflammation, can also predict all-cause, cardiovascular, and infection-related mortality in patients on PD (33). In our study, we also showed that serum albumin was an independent predictor of mortality.…”
Section: Discussionsupporting
confidence: 79%
“…Several studies have shown that serum albumin is also an independent predictor of peritonitis in patients on PD (16,32). Hypoalbuminemia, a marker of malnutrition and inflammation, can also predict all-cause, cardiovascular, and infection-related mortality in patients on PD (33). In our study, we also showed that serum albumin was an independent predictor of mortality.…”
Section: Discussionsupporting
confidence: 79%
“…The creation of the national DaVita dialysis patient cohort has been described previously (15)(16)(17)(18)(19)(20)(21)(22). Demographic data and details of medical history were collected, with information on age, sex, race, type of insurance, marital status, presence of diabetes, height, body weight (to calculate averaged body mass index), dialysis modality (HD versus PD), and dialysis vintage.…”
Section: Clinical and Demographic Measuresmentioning
confidence: 99%
“…The creation of the cohort has been described previously (14,15). To minimize measurement variability, all repeated measures for each patient during any given calendar quarter, (i.e., over a 13-week interval) were averaged and the summary estimate was used in all models.…”
Section: Clinical and Demographic Measuresmentioning
confidence: 99%