Title of article
Survival of Patients on Hemodialysis and Predictors of Mortality A Single-Centre Analysis of Time-Dependent Factors
Author/Authors
Ossareh, Shahrzad Hasheminejad Kidney Center - Iran University of Medical Sciences, Tehran, Iran , Farrokhi, Farhat Hasheminejad Kidney Center - Iran University of Medical Sciences, Tehran, Iran , Zebarjadi, Marjan Hasheminejad Kidney Center - Iran University of Medical Sciences, Tehran, Iran
Pages
12
From page
369
To page
380
Abstract
Introduction. This study aimed to evaluate the outcome and
predictors of survival in hemodialysis patients of Hasheminejad
Kidney Center where a comprehensive dialysis care program has
been placed since 2004.
Materials and Methods. Data of 560 hemodialysis patients were
used to evaluate 9-year survival rates and predictors of mortality.
Cox regression models included comorbidities as well as averaged
and 6-month-averaged time-dependent values of laboratory findings
as independent factors.
Results. Survival rates were 91.9%, 66.0%, 46.3%, and 28.5%, at
1, 3, 5, and 9 years, respectively, in all patients and 90.8%, 61.6%,
42.1%, and 28.0% in 395 incident patients starting hemodialysis
after 2004. Adjusted survival models demonstrated age, male sex,
diabetes mellitus, cardiovascular disease, and high-risk vascular
access as baseline predictors of mortality, as well as averaged low
hemoglobin level (hazard ratio [HR], 1.98; 95% confidence interval
[CI], 1.36 to 2.90) and a single-pool KT/V < 1.2 (HR, 2.28; 95% CI,
1.60 to 3.26). The averaged high-density lipoprotein cholesterol (HR,
0.67; 95% CI, 0.55 to 0.81) and serum creatinine (HR, 0.71; 95% CI,
0.64 to 0.79) levels demonstrated protective effects. The adjusted
time-dependent model further revealed the significant association
of hypocalcemia (HR, 1.63; 95% CI, 1.13 to 2.34), hypercalcemia
(HR, 1.50; 95% CI, 1.02 to 2.21), and hyperphosphatemia (HR, 1.68;
95% CI, 1.20 to 2.37) with death.
Conclusions. Our patients have relatively comparable survival
rates with high-profile dialysis centers. Aiming to better achieve
the recommended targets, especially hemoglobin and nutritional
and bone metabolism factors, should be considered for optimal
dialysis outcomes.
Keywords
metabolite imbalance , anemia , dialysis adequacy , Cox regression model , survival , hemodialysis
Journal title
Iranian Journal of Kidney Diseases (IJKD)
Serial Year
2016
Record number
2517879
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