Serum albumin is a strong predictor of death in chronic dialysis patients

Iseki, Kunitoshi; Kawazoe, Nobuyuki; Fukiyama, Koshiro

doi:10.1038/ki.1993.220

Cited by 276 publications

(167 citation statements)

References 30 publications

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“…In multivariate survival analysis hypoalbuminemia was one of the best predictors of ESRD patient mortality, which confirmed our long-term prospective (Simic-Ogrizovic et al 2006) and other survival studies (Iseki et al 1993).…”

Section: Discussionsupporting

confidence: 73%

Serum Amyloid-A Rather Than C-Reactive Protein Is a Better Predictor of Mortality in Hemodialysis Patients

Simić-Ogrizović¹,

Dopsaj

Bogavac-Stanojević

et al. 2009

Tohoku J. Exp. Med.

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Section: Discussionsupporting

confidence: 73%

Serum Amyloid-A Rather Than C-Reactive Protein Is a Better Predictor of Mortality in Hemodialysis Patients

Simić-Ogrizović¹,

Dopsaj

Bogavac-Stanojević

et al. 2009

Tohoku J. Exp. Med.

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“…Serum albumin is a strong predictor of death in long-term dialysis patients (8,20,31,32). In this study, serum albumin was not an independent predictor in the Cox model, because patients with low albumin had higher age, high s-CRP levels, and low serum creatinine, which may have a more direct effect on survival.…”

Section: Discussionmentioning

confidence: 77%

Mortality Predictors after 10 Years of Dialysis

Ajiro

Alchi

Narita

et al. 2007

Clinical Journal of the American Society of Nephrology

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Background: This work aimed to examine the predictive value for death of various clinical variables after long-term hemodialysis (HD).Design, setting, participants, and measurements: A total of 947 patients (597 men and 350 women, aged 21 to 93 yr) who were undergoing maintenance HD in Niigata, Japan, were stratified into two cohorts: Those with >10 yr of prior HD at study enrollment (n ‫؍‬ 391) and those with <10 yr of previous therapy (n ‫؍‬ 556). The survival of patients was examined for up to 40 mo (1999 to 2003) with the Cox proportional hazards model. Baseline clinical and dialysis data and serum biochemistries were used as independent variables. For adjustment for bias in patient selection, patient survival in either cohort was analyzed separately.Results: In patients with >10 yr of HD, high pulse pressure, cerebrovascular disease, low serum creatinine, and low Kt/V values were the mortality risk predictors, whereas for those with <10 yr of HD, age and cerebrovascular disease were independent risk predictors for death. Diabetes, coronary artery disease, serum albumin, and C-reactive protein were NS predictors in those with long-term HD.Conclusions: Providing adequate dosage of dialysis and achieving a better control of pulse pressure may further improve survival in selected patients who had undergone HD for >10 yr.

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“…Predictors of noncardiac deaths included low body mass index, low serum albumin, and low creatinine. These are markers of nutritional status, catabolic state, or increased inflammation and have been shown to be associated with increased all-cause mortality in HD patients (31)(32)(33)(34). Our study proposes a simple predictive model for SCD using easily obtainable variables.…”

Section: Discussionmentioning

confidence: 99%

Predictors of Sudden Cardiac Death

Shastri

Tangri

Tighiouart

et al. 2012

Clinical Journal of the American Society of Nephrology

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SummaryBackground and objectives There are few data on risk factors for sudden cardiac death (SCD) in patients undergoing hemodialysis (HD). The study objective was to identify predictors associated with various causes of death in the Hemodialysis (HEMO) Study and to develop a prediction model for SCD using a competing risk approach.Design, setting, participants, & measurements In this analysis of 1745 HEMO participants, all-cause mortality was classified as SCD, non-SCD, and noncardiac death. Predictors for each cause of death were evaluated using cause-specific Cox proportional hazards models, and a competing risk approach was used to calculate absolute risk predictions for SCD.Results During a median follow-up of 2.5 years, 808 patients died. Rates of SCD, non-SCD, and noncardiac death were 22%, 17%, and 61%, respectively. Predictors of various causes of death differ somewhat in HD patients. Age, diabetes, peripheral vascular disease, ischemic heart disease, serum creatinine, and alkaline phosphatase were independent predictors of SCD. The 3-year C-statistic for SCD was 0.75 (95% confidence interval, 0.70-0.79), and calibration was good (x 2 =1.1; P=0.89). At years 3 and 5 of follow-up, the standard Cox model overestimated the risk for SCD as compared with the competing risk approach on the relative scale by 25% and 46%, respectively, and on the absolute scale by 2% and 6%, respectively.Conclusions Predictors of various causes of death differ in HD patients. The proposed prediction model for SCD accounts for competing causes of death. External validation of this model is required.

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Serum albumin is a strong predictor of death in chronic dialysis patients

Cited by 276 publications

References 30 publications

Serum Amyloid-A Rather Than C-Reactive Protein Is a Better Predictor of Mortality in Hemodialysis Patients

Serum Amyloid-A Rather Than C-Reactive Protein Is a Better Predictor of Mortality in Hemodialysis Patients

Mortality Predictors after 10 Years of Dialysis

Predictors of Sudden Cardiac Death

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