Red cell distribution width is associated with mortality in kidney transplant recipients

I Mucsi, A Ujszaszi, ME Czira, M Novak… - International urology and …, 2014 - Springer
I Mucsi, A Ujszaszi, ME Czira, M Novak, MZ Molnar
International urology and nephrology, 2014Springer
Background Red cell distribution width (RDW), a parameter routinely reported as part of the
complete blood count, is associated with increased morbidity and mortality risk in different
patient populations. No published data are available about the association between RDW
and mortality in kidney transplant recipients. Methods We collected socio-demographic,
clinical parameters, medical and transplant history and laboratory data at baseline in 723
prevalent kidney transplant recipients between June and October 2008 [mean age 51±13 …
Background
Red cell distribution width (RDW), a parameter routinely reported as part of the complete blood count, is associated with increased morbidity and mortality risk in different patient populations. No published data are available about the association between RDW and mortality in kidney transplant recipients.
Methods
We collected socio-demographic, clinical parameters, medical and transplant history and laboratory data at baseline in 723 prevalent kidney transplant recipients between June and October 2008 [mean age 51 ± 13 (SD) years, 56 % men, 21 % diabetics]. Associations between baseline RDW values and all-cause mortality over 3 years were examined in unadjusted and adjusted models.
Results
Increasing RDW was associated with increased mortality in both unadjusted [(HR1 % increase = 1.63; 95 % CI 1.41–1.89) and (HR>median = 2.74; 95 % CI 1.68–4.48)] and fully adjusted models [(HR1 % increase = 1.60; 95 % CI 1.27–1.89) and (HR>median = 1.33; 95 % CI 0.76–2.35)]. In reclassification analyses, RDW improved the predictive value of all-cause mortality prediction models [the net reclassification improvement (NRI) was 0.189; p < 0.001].
Conclusions
RDW, a cheap and readily available but largely neglected parameter independently, predicts mortality in prevalent kidney transplant recipients and could potentially been used in everyday risk assessment of kidney transplant recipients.
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