Abstract
Uremic patients undergoing dialysis (HD) present a cardiovascular risk of death 10–20 fold higher than general population, but also kidney transplantation keeps considerable cardiovascular burden.
Hemorheologic profile alterations have been described in HD; comprehensive data on kidney transplant recipients (KT) are missing. Aim of our study is to characterize the hemorheological profile in KT, and to compare these data with HD and healthy volunteers (HV).
We investigated 47 HV, 90 HD and 108 KT.
We confirm hemorheological alterations in HD. KT, when compared to HD, normalizes many parameters: plasma viscosity, whole blood viscosity at 1-Hz and 200-Hz shear rate, erythrocyte aggregation index and yield stress. KT show a markedly lower erythrocyte deformability (ED). We found no differences among hemorheological parameters between the different classes of immunosuppressive drugs used.
In conclusion, HD show various hemorheological defects; this could support the high incidence of cardiovascular complications. KT improves most hemorheological alterations; nevertheless, ED is reduced in KT, maintaining a detrimental injury at microcirculatory level and leading to the progression of fibrosis till to end-stage injury. Impaired ED in KT could also contribute to progression of interstitial fibrosis and tubular atrophy (IF/TA) in grafts.
Introduction
Proper tissue perfusion depends on correct blood flow and hemorheological properties of blood elements; their alterations, through endothelial damage, play a significant role in subsequent fibrosis with progression to end-stage injury [18]. Uremic syndrome, namely end stage renal disease, is a systemic condition with related hemorheological changes, such as a plasma viscosity (ηP) increase and erythrocyte deformability (ED) decrease with a still normal whole blood viscosity due to decreased haematocrit-value (Ht). Chronic inflammation, lipid oxidation, endothelial dysfunction, hyperparathyroidism, uremic toxins, aluminum overload, acidosis, membrane-ATP-ase dysfunction and alterations in nitric oxide metabolism have been indicated as causative factors for these hemorheological changes [4, 10]. Most uremia-related factors are poorly corrected by hemodialysis and medical supporting therapy resulting in a persistent cardiovascular risk 20-fold higher in comparison to general population, and in cardiovascular events still being the leading cause of death in these patients [5]. As for hemorheological changes, hemodialysis fails to correct alterations and, on the contrary, worsens some of them [14]. Kidney transplantation reduces the overall 4-year risk of death and cardiovascular events respectively to 68% and 48–82%, but cardiovascular risk remains still higher than in general population, and it is the first cause of death among kidney transplanted patients (KT) [3, 13]. Once again, hemorheological changes could enter the group of unconventional risk factors playing a role on this increased risk [3]. Literature provides few and heterogeneous data about hemorheology in KT: Koppensteiner et al. pointed out an abnormal red cell aggregation [11], Linde et al. found a reduced ED in KT [12], Zanazzi et al. found alteration of all hemorheological parameters [20], Hammes et al. described an impairment in the microvascular blood flow of KT patients related to an abnormal regulation of asymmetric dimethylarginine release [8]. Focusing on immunosuppressive drugs, a possible detrimental role has been assumed for Cyclosporin (CyA) on ED [2, 9] and Akoglu et al. has reported a more significant decrease of ED in KT from CyA use in comparison to Tacrolimus (FK) [1].
Methods
Our aim is to characterize the hemorheology of KT in comparison to uremic patients and healthy control volunteers (HV). All participants were asked to sign informed consent before obtaining blood specimens for routine and hemorheology measures. This research complies with the requirement for ethical publication in Clincal Hemorheology and Microcirculation as published in Clin HemorheolMicrocirc. 2010;44(1):1-2.
Selection and description of participants
We considered three groups: HV; uremic patients undergoing intermittent hemodialysis (HD), where blood samples were collected before (pre-HD) and after (post-HD) the second dialysis session of the week; KT. Demographic characteristics are summarized in Table 1. KT were receiving immunosuppressive treatment as follows: 75 patients were receiving calcineurin inhibitors (cnI) and 11 patients were receiving a combination of cnI and mTor-I (44 on CyA and 42 on FK); 22 patients were receiving mTor inhibitors (mTor-i).
Technical information
All measurements were performed with a coaxial cylinder rehometer (Haake RV20-CV100, Haake, Germany) at even temperature 37°C, according with International Committee for Standardization in Haematology [19]. Plasma viscosity (ηP) was measured at 300 Hz-shear rate. Whole blood viscosity was measured at 1 Hz-shear rate (ηS1) and at 200 Hz-shear rate (ηS200) and the values were standardized to Ht 40%. Erythrocyte aggregation index (EAI) was evaluated as ηS1/ηS200 ratio. Yield stress (τ0) was measured through the Casson regression model [15]. Erythrocyte deformability (ED) was evaluated as Taylor factor [18] (Tk) [1-(ηP/ηS200)0.4/Ht], index of erythrocyte stiffness. We evaluated viscous-elastic behavior of blood in terms of shear elastic modulus (G’), defined as the ratio of stress to strain (G’ =σ/γ), applying a 8% strain under oscillatory flow regimen.
Statistical techniques
Statistical analysis was performed with GraphPad Prism 6 software. Outlier values were eliminated. Distribution of data was assessed with D’Agostino & Pearson omnibus normality test; data were expressed as median (25% percentile –75% percentile); differences were assessed with non-parametric Mann-Whitney test with a two-tailed p value <0,05 (95% confidence level). Difference between G’ slopes was assessed with linear regression (95% confidence level for slopes).
Results
Results are summarized in Fig. 1. In the following exposition results are expressed as medians (25% percentile –75% percentile).
Discussion
Our results confirm an alteration of hemorheological parameters in pre-HD. Moreover, ηP, ηS1, ηS200, EAI and τ0 further worsen post-HD, because of both dehydration and acute phase proteins rising. KT corrects many of these alterations.
In conclusion, HD patients showed marked hemorheological changes; this could contribute to support the high incidence of cardiovascular complications in these patients, involving large vessels (ηS1, EAI), myocardial hypertrophy (τ0), small vessels and microcirculation (ηS200, Tk, G’). In KT most of the hemorheological parameters resulted comparable to HV. However, the reduced ED measured in KT could act as a detrimental injury in microcirculation, damaging the endothelium and, through its activation, leading to a progression of organ damage.
