2 May 2013: (2013) Correction: Effect of Isovolemic, Isothermic Hemodialysis on Cerebral Perfusion and Vascular Stiffness Using Contrast Computed Tomography and Pulse Wave Velocity. PLoS ONE 8(5): 10.1371/annotation/b8510ff9-3ea4-4415-bc1b-5fa7b341f293. doi: 10.1371/annotation/b8510ff9-3ea4-4415-bc1b-5fa7b341f293 | View correction
Patients undergoing hemodialysis treatment have a six-fold increased risk for stroke relative to the general population. However, the effect of hemodialysis on cerebral blood flow is poorly studied and confounding factors like blood pressure and ultrafiltration as well as temperature changes have rarely been accounted for. The aim of our study was to use state-of-the-art technology to evaluate the effect of a single dialysis session on cerebral perfusion as well as on vascular stiffness.
Chronic hemodialysis patients (7 male/3 female, mean age 58 years) were recruited. Cerebral blood flow and arterial pulse wave velocity were measured before and immediately after a hemodialysis session. To exclude effects of volume changes we kept ultrafiltration to a minimum, allowing no change in body weight. Isothermic conditions were maintained by using the GENIUS single-pass batch-dialysis system with a high-flux polysulfone dialyser. Cerebral blood flow was measured by contrast-enhanced computed tomography. Pulse wave velocity was measured using the SphygmoCor (AtCor Medical, USA) device by a single operator.
This study shows for the first time that isovolemic, isothermic hemodialysis neither affected blood pressure or heart rate, nor total or regional cerebral perfusion. There was also no change in pulse wave velocity.
Mechanisms other than the dialysis procedure itself might be causative for the high incidence of ischemic strokes in this patient population. Moreover, the sole removal of uremic toxins does not lead to short-term effects on vascular stiffness, underlying the importance of volume control in this patient population.
Citation: Reising A, Sambale S, Donnerstag F, Schmidt JJ, Hafer C, et al. (2013) Effect of Isovolemic, Isothermic Hemodialysis on Cerebral Perfusion and Vascular Stiffness Using Contrast Computed Tomography and Pulse Wave Velocity. PLoS ONE 8(2): e56396. doi:10.1371/journal.pone.0056396
Editor: Theodore I. Steinman, Harvard Medical School, United States of America
Received: December 3, 2012; Accepted: January 2, 2013; Published: February 22, 2013
Copyright: © 2013 Reising et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was supported by an unrestricted grant of the Else-Kröner-Fresenius Foundation (P63/06//EKMS 06/03). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: JTK recieved unrestricted research support from Fresenius Medical Care Germany. JTK received speaker fees from Fresenius Medical Care Germany. All other authors have declared that no competing interests exist. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials.
The high prevalence of cardiovascular disease in chronic kidney disease (CKD) stage 5 D, i.e. dialysis patients has been known for decades . Traditional cardiovascular risk markers do not solely explain these events. Functional test like the measurement of pulse wave velocity have been shown to be independent predictor of cardiovascular morbidity and mortality in this patient population ,. Despite an extensive pharmacological treatment the success in preventing or delaying cardiovascular events in CKD 5 D patients is limited . Hence the dialysis procedure itself is thought to play an essential role in the pathophysiology of cardiovascular events, yet their short term impact on vascular function has not been extensively studied. For instance the effect of a single hemodialysis session on the cerebral blood flow is controversially discussed. While one group found an improvement of cerebral blood flow due to dialysis  other groups do see either no effect at all ,  or even a decrease in cerebral blood flow . Also the effect of a single hemodialysis on arterial stiffness, the result of a complex interaction between structural and functional changes in the vessel wall, has not been the focus of clinical research, making it difficult to dissect the importance of abnormal arterial calcification from volume overload uremic toxins and various endocrine abnormalities , . Clinical studies on pulse wave velocity measurements are contradicting. Ranging from absent effects  to a decrease  or even increase – in pulse wave velocity (PWV) caused by dialysis, a discrepancy that might be due to either temperature effects of dialysis or the hydration status which has been shown to influence PWV . Due to the scarce data about this topic, the unreliable Doppler ultrasound studies of cerebral blood flow, the aim of our study was to analyze the cerebral blood flow and the pulse wave velocity of patients with CKD 5 D before and after a single hemodialysis using the gold standard for the cerebral blood flow measurement, i.e. computer tomography based cerebral perfusion.
Subjects and Methods
The study protocol was approved by the Hannover Medical School Ethics Committee (protocol # 3952). Stable adults undergoing chronic hemodialysis treatment were studied after written informed consent was obtained from the patients.
Participants of the Study
Participants included were undergoing chronic hemodialysis for at least one year with a regimen of at three times per week. None of the patients suffered from instable coronary artery disease or had signs of severe heart failure (>NYHA II). The patients had no signs of infections based on c-reactive protein (CRP) and clinical examination. Exclusion criteria were participation in other studies during the previous three month, allergy against contrast agents or iodine, hyperthyroidism or unclear dysfunction of thyroid gland, premenopausal women, history of radiation of the cranium, residual diuresis (≥500 ml/day), history of stroke within six weeks prior to study participation, taking nutrition supplements containing L-arginine, and any further conditions at the discretion of the treating physician.
The study participation took place on the patient’s midweek dialysis day. After measurement of the predialysis body weight, heart rate, blood pressure and body temperature the dialysis needles (17 Gauge, Bionic Medizintechnik, Friedrichsdorf, Germany) were placed as usual in the dialysis fistula and a blood gas analysis (BGA) including determining sodium and potassium was performed.
Afterwards the patient was taken to the computed tomography (CT) scan in supine and resting position, to rule out influences by altered hemodynamics. The initial CT-scan was performed as described below and the patient was taken back to the dialyis unit. The four hour lasting dialysis session was performed using the Genius® (Fresenius Medical Care, Bad Homburg Germany) single-pass batch-dialysis system with a high-flux polysulfone dialyser FX 60 (Fresenius Medical Care, Bad Homburg Germany). The dialysis solution was composed according to the patient’s requirements. The blood flow and the countercurrent dialysate flow ranged between 200 and 250 ml/min, there was no net ultrafiltration. After 4 hours the patients underwent a second pulse wave analysis and subsequently a second CT.
Perfusion CT Imaging Protocol
The method used was described previously and adapted due to modified CT hardware . In brief, all perfusion CT imaging examinations were performed at a Lightspeed 16 row helical CT scanner (GE Medical Systems, Milwaukee, Wis.). The position of the scan region was determined from a previously acquired unenhanced baseline CT. Two adjacent slices at the level of the basal ganglia included the vascular territory of the anterior, middle and posterior cerebral artery. During a scan time of 45s the total number of 90 slices for each position with a thickness of 10-mm sections of continuous (cine) scanning (80 kV, 200 mA) were obtained. CT was initiated 4s after injection (injection rate 2.5 mL/s) of iodinated contrast material with an iodine concentration of 400 mg/dl (Imeron 400, Altana, Konstanz, Germany) with a total volume of 40 mL. The contrast agent was injected via one of the placed dialysis needles followed by a saline flush with the same injection rate with a power injector (Stellant Medrad, Indianola, USA). Parametric maps of brain perfusion parameter were created from the resulting tracer kinetic images using commercially available software (Perfusion 3, AW 4.0, GE Healthcare, Milwaukee, USA). This software algorithm computed the regional cerebral blood flow (CBF) in mL/min/100 g brain tissue with the deconvolution of the parenchymal time-concentration curves by a reference arterial input function (AIF). The region of interest (ROI) that provided the AIF was placed in each anterior cerebral artery (to cover bilateral vessels); the venous outflow function ROI placed in the transverse sinus. Total cerebral perfusion was obtained by averaging blood flow from 4 standardized ROIs in each hemisphere as previously described .
Measurement of Pulse Wave Velocity
Carotid-aortic PWV was determined using a validated system (Sphygmocor™; AtCor Medical, Sydney, Australia), which employs high-fidelity applanation tonometry by a pencil-type probe for non-invasive registration of peripheral arterial pressure waves. Pulse waveforms of the common carotid artery and the femoral artery were obtained sequentially and PWV was calculated as the distance between the suprasternal notch and the femoral artery recording site minus the distance between the suprasternal notch and the carotid artery recording site, divided by the time interval between the feet of the flow waves. The device uses the foot-to-foot methods as described previously .
Measurement of Body Temperature
Body temperature was measured with an infrared tympanic thermometer (Genius™ 2, Covidien, Mansfield, MA, USA) with an accuracy of +/−0.1°C.
Patient demographics and laboratory data are reported in Table 1. Isovolemic conditions could be confirmed by comparing the median [interquartile range] pre dialysis weight (71.15 [65.40–79.88] kg ) with the post dialysis weight (71.09 [65.33–79.75] kg), which revealed no difference (p = 0.9884). Isothermic hemodialysis could be confirmed by the lack of significant differences comparing pre and post dialysis body temperature (Figure 1). Moreover, neither systolic or diastolic blood pressure and heart rate nor pCO2 or pH changed significantly (Figure 1). There was also neither a change in total cerebral blood flow (Figure 2), nor in the different territories of the anterior, middle and posterior cerebral artery. Also pulse wave velocity remained unaffected by the dialysis procedure (Figure 3). The none-invasively measured blood pressure and heart rate, determined at 30 min intervals, did not show any significant changes over the course of the hemodialysis session (data not shown). The absolute median (range) amount of the removed uremic toxins markers in the collected spent dialysate were 428 (112–630) mmol urea and 15.4 (6.3–22.1) mmol creatinine.
Figure 1. Vital signs and blood gas analysis.
Predialysis and postdialysis systolic blood pressure, diastolic blood pressure, heart rate, venous pCO2 and pH depicted as box and whisker plots. Horizontal bars indicate median values.doi:10.1371/journal.pone.0056396.g001
Figure 2. Cerebral blood flow.
Predialysis and postdialysis cerebral blood flow depicted as box and whisker plots. Horizontal bars indicate median values. p = 0.16 comparing pre- and post-dialysis measurements.doi:10.1371/journal.pone.0056396.g002
Figure 3. Pulse wave velocity.
Predialysis and postdialysis pulse wave velocity depicted as box and whisker plots. Horizontal bars indicate median values. p = 0.39 comparing pre- and post-dialysis measurements.doi:10.1371/journal.pone.0056396.g003
The main finding of our study is, that isovolemic, isothermic hemodialysis has neither an effect on cerebral perfusion nor in vascular elasticity in chronic hemodialysis patients.
Pulse Wave Velocity
Pulse wave velocity is well known as an independent and highly predictive risk marker for cardiovascular events in general population  as well as in CKD 5D patients on hemodialysis , . Thus far the reports on the effect of a single hemodialysis session on PWV are conflicting. Some authors found no effect of hemodialysis on PWV ,  while other authors described a significant increase of PWV . The latter group discussed a post-dialytic increase in heart rate and sympathetic nervous activity as causative for these findings . Di Iorio et al found the marked inter- and intradialytic changes of hydration status as the major determinant for a decreasing PWV during dialysis sessions . This finding is supported by our results as we did not perform a net ultrafiltration in our study, specifically to address the potential effect of volume on PWV. Indeed, in all studies investigating the effect of hemodialysis on PWV so far ultrafiltration/weight reduction ranging between ~1500 ml  to ~3.2 kg . Nevertheless several of these and other authors discussed effects of the hemodialysis procedure itself, - independent of the hydration or hemodynamic effects due to ultrafiltration - like leukocyte, platelet complement activation and disordered leukocyteendothelial interactions, and increased release of oxidative radicals , , . Thermal changes during dialysis strongly influence intradialytic hemodynamics  a truth that arose from the pioneering clinical observation of Jonas Bergstroem . Indeed, beside from maintaining peripheral vascular resistance, keeping the body temperature stable also ameliorates the left ventricular dysfunction, which is often associated with hemodialysis . As the sole elimination of uremic toxins in our study did not have any effect on PWV we consider volume changes and body temperature to be of major importance for short term changes in PWV.
Cerebral Blood Flow
In our study we could not detect any effect of isovolemic, isothermic hemodialysis on cerebral blood flow, even by employing an FDA approved method, i.e. computed tomography perfusion technique . Previous published studies on the effect of hemodialysis on cerebral blood flow used transcranial Doppler sonography, which is a poorly reproducible technique. The technique does not directly measure cerebral blood flow but blood flow velocity. Under conditions of constant vascular resistance cerebral blood flow can be estimated. However we know that the dialysis procedure itself may affect vascular elasticity, either decreasing  or increasing it . In contrast to all those studies we could not see a significant change of the cerebral blood flow while eliminating uremic toxins. As we kept blood pressure and the heart rate constant, we could exclude that volume alterations interfered the cerebral blood flow measurements. This could explain the difference to other studies ,  in which a marked rate of ultrafiltration of about 2200 ml was performed. Beside ultrafiltration and the loss of body weight the hemoconcentration was associated with change of cerebral flow in this studies. In our study with no net ultrafiltration those parameters were kept stable. Therefore we postulate that the ultrafiltration during dialysis plays a crucial role for the decreased blood flow seen by other authors. Furthermore we conclude that the solute removal itself has no influence on cerebral blood flow. This assumption is supported by data showing that high interdialytic weight gain is associated with a high mortality . Higher rates of ultrafiltration are associated with significant increase in all-cause and cardiovascular mortality, probably induced by repetitive transient cardiac ischemia due to the intravascular hypovolemia . The same effect might happen to the brain that suffers from cyclic states of reduced perfusion following ultrafiltration during hemodialysis. Accelerated aging of the brain due to reduced cerebral blood flow has also been proposed as an important mechanism in the Framingham population .
Limitations of the Study
We wish to point out important limitations of our study. Firstly the number of subjects studied is rather small, yet the use of state of the art methodology subjecting patients to an x-ray based procedure. Secondly, we did not perform a net ultrafiltration, as we felt that had been done in several studies performed previously. Thirdly due to methodology it was not possible to measure cerebral blood flow during the dialysis session, therefore we cannot rule out intermediate fluctuations. Fourthly, patients were treated with the GENIUS dialysis system which has some peculiar properties, such as the absence of an in-built heating. Nevertheless, a drop in body temperature had so far not been reported over the course of a four hour treatment , . Last but not least we specifically excluded patients with diabetic nephropathy.
In summary, during a single hemodialysis session, the removal of uremic toxins alone had neither an effect on vascular stiffness nor on cerebral blood flow. Hence most like the combination of long term changes in the vessel wall anatomy in combination with short term volume shifts might be responsible for the high prevalence of asymptomatic silent cerebral infarction in CKD 5 D patients.
Conceived and designed the experiments: AR SS JTK. Performed the experiments: AR SS FD CH JS BMWS. Analyzed the data: AR SS JTK. Contributed reagents/materials/analysis tools: FD. Wrote the paper: AR SS JTK.
- 1. Lindner A, Charra B, Sherrard DJ, Scribner BH (1974) Accelerated atherosclerosis in prolonged maintenance hemodialysis. N Engl J Med 290: 697–701. doi: 10.1056/nejm197403282901301
- 2. Blacher J, Guerin AP, Pannier B, Marchais SJ, Safar ME, et al. (1999) Impact of aortic stiffness on survival in end-stage renal disease. Circulation 99: 2434–2439. doi: 10.1161/01.cir.99.18.2434
- 3. Blacher J, Safar ME, Guerin AP, Pannier B, Marchais SJ, et al. (2003) Aortic pulse wave velocity index and mortality in end-stage renal disease. Kidney Int 63: 1852–1860. doi: 10.1046/j.1523-1755.2003.00932.x
- 4. Wanner C, Krane V, Marz W, Olschewski M, Mann JF, et al. (2005) Atorvastatin in patients with type 2 diabetes mellitus undergoing hemodialysis. N Engl J Med 353: 238–248. doi: 10.1056/nejmoa043545
- 5. Prohovnik I, Post J, Uribarri J, Lee H, Sandu O, et al. (2007) Cerebrovascular effects of hemodialysis in chronic kidney disease. J Cereb Blood Flow Metab 27: 1861–1869. doi: 10.1038/sj.jcbfm.9600478
- 6. Metry G, Spittle M, Rahmati S, Giller C, Giller A, et al. (2002) Online monitoring of cerebral hemodynamics during hemodialysis. Am J Kidney Dis 40: 996–1004. doi: 10.1053/ajkd.2002.36333
- 7. Regolisti G, Maggiore U, Cademartiri C, Cabassi A, Caiazza A, et al. (2013) Cerebral blood flow decreases during intermittent hemodialysis in patients with acute kidney injury, but not in patients with end-stage renal disease. Nephrol Dial Transplant 28: 79–85. doi: 10.1093/ndt/gfs182
- 8. Stefanidis I, Bach R, Mertens PR, Liakopoulos V, Liapi G, et al. (2005) Influence of hemodialysis on the mean blood flow velocity in the middle cerebral artery. Clin Nephrol 64: 129–137. doi: 10.5414/cnp64129
- 9. Chung AW, Yang HH, Kim JM, Sigrist MK, Brin G, et al. (2010) Arterial stiffness and functional properties in chronic kidney disease patients on different dialysis modalities: an exploratory study. Nephrol Dial Transplant 25: 4031–4041. doi: 10.1093/ndt/gfq202
- 10. Gusbeth-Tatomir P, Covic A (2007) Causes and consequences of increased arterial stiffness in chronic kidney disease patients. Kidney Blood Press Res 30: 97–107. doi: 10.1159/000100905
- 11. Kosch M, Levers A, Barenbrock M, Matzkies F, Schaefer RM, et al. (2001) Acute effects of haemodialysis on endothelial function and large artery elasticity. Nephrol Dial Transplant 16: 1663–1668. doi: 10.1093/ndt/16.8.1663
- 12. Di Iorio B, Nazzaro P, Cucciniello E, Bellizzi V (2010) Influence of haemodialysis on variability of pulse wave velocity in chronic haemodialysis patients. Nephrol Dial Transplant 25: 1579–1583. doi: 10.1093/ndt/gfp662
- 13. Su HM, Chang JM, Lin FH, Chen SC, Voon WC, et al. (2007) Influence of different measurement time points on brachial-ankle pulse wave velocity and ankle-brachial index in hemodialysis patients. Hypertens Res 30: 965–970. doi: 10.1291/hypres.30.965
- 14. Covic A, Goldsmith DJ, Gusbeth-Tatomir P, Covic M (2004) Haemodialysis acutely improves endothelium-independent vasomotor function without significantly influencing the endothelium-mediated abnormal response to a beta 2-agonist. Nephrol Dial Transplant 19: 637–643. doi: 10.1093/ndt/gfg568
- 15. Hogas S, Ardeleanu S, Segall L, Serban DN, Serban IL, et al.. (2011) Changes in arterial stiffness following dialysis in relation to overhydration and to endothelial function. Int Urol Nephrol.
- 16. Bisdas S, Nemitz O, Berding G, Weissenborn K, Ahl B, et al. (2006) Correlative assessment of cerebral blood flow obtained with perfusion CT and positron emission tomography in symptomatic stenotic carotid disease. Eur Radiol 16: 2220–2228. doi: 10.1007/s00330-006-0209-2
- 17. Kielstein JT, Donnerstag F, Gasper S, Menne J, Kielstein A, et al. (2006) ADMA increases arterial stiffness and decreases cerebral blood flow in humans. Stroke 37: 2024–2029. doi: 10.1161/01.str.0000231640.32543.11
- 18. London GM, Pannier B, Agharazii M, Guerin AP, Verbeke FH, et al. (2004) Forearm reactive hyperemia and mortality in end-stage renal disease. Kidney Int 65: 700–704. doi: 10.1111/j.1523-1755.2004.00434.x
- 19. Mattace-Raso FU, van der Cammen TJ, Hofman A, van Popele NM, Bos ML, et al. (2006) Arterial stiffness and risk of coronary heart disease and stroke: the Rotterdam Study. Circulation 113: 657–663. doi: 10.1161/circulationaha.105.555235
- 20. Georgianos PI, Sarafidis PA, Malindretos P, Nikolaidis P, Lasaridis AN (2011) Hemodialysis reduces augmentation index but not aortic or brachial pulse wave velocity in dialysis-requiring patients. Am J Nephrol 34: 407–414. doi: 10.1159/000331700
- 21. Himmelfarb J, Stenvinkel P, Ikizler TA, Hakim RM (2002) The elephant in uremia: oxidant stress as a unifying concept of cardiovascular disease in uremia. Kidney Int 62: 1524–1538. doi: 10.1046/j.1523-1755.2002.00600.x
- 22. Usvyat LA, Kotanko P, van der Sande FM, Kooman JP, Carter M, et al.. (2011) Circadian variations in body temperature during dialysis. Nephrol Dial Transplant.
- 23. Kooman JP, van der Sande F, Leunissen K, Shaldon S (2006) From isolated ultrafiltration to blood-temperature-controlled feedback: an odyssey started by Jonas Bergstrom. Blood Purif 24: 218–221. doi: 10.1159/000091015
- 24. Selby NM, Burton JO, Chesterton LJ, McIntyre CW (2006) Dialysis-induced regional left ventricular dysfunction is ameliorated by cooling the dialysate. Clin J Am Soc Nephrol 1: 1216–1225. doi: 10.2215/cjn.02010606
- 25. Kalantar-Zadeh K, Regidor DL, Kovesdy CP, Van WD, Bunnapradist S, et al. (2009) Fluid retention is associated with cardiovascular mortality in patients undergoing long-term hemodialysis. Circulation 119: 671–679. doi: 10.1161/circulationaha.108.807362
- 26. Flythe JE, Kimmel SE, Brunelli SM (2011) Rapid fluid removal during dialysis is associated with cardiovascular morbidity and mortality. Kidney Int 79: 250–257. doi: 10.1038/ki.2010.383
- 27. Jefferson AL, Himali JJ, Beiser AS, Au R, Massaro JM, et al. (2010) Cardiac index is associated with brain aging: the Framingham Heart Study. Circulation 122: 690–697. doi: 10.1161/circulationaha.109.905091
- 28. Fliser D, Kielstein JT (2006) Technology Insight: treatment of renal failure in the intensive care unit with extended dialysis. Nat Clin Pract Nephrol 2: 32–39. doi: 10.1038/ncpneph0060
- 29. Lonnemann G, Floege J, Kliem V, Brunkhorst R, Koch KM (2000) Extended daily veno-venous high-flux haemodialysis in patients with acute renal failure and multiple organ dysfunction syndrome using a single path batch dialysis system. Nephrol Dial Transplant 15: 1189–1193. doi: 10.1093/ndt/15.8.1189