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
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