Skip to main content
Nephrology Dialysis Transplantation logoLink to Nephrology Dialysis Transplantation
. 2015 Sep 1;30(12):2075–2079. doi: 10.1093/ndt/gfv316

Impact of extracorporeal blood flow rate on blood pressure, pulse rate and cardiac output during haemodialysis

Philip Andreas Schytz 1, Maria Lerche Mace 1, Anne Merete Boas Soja 1, Brian Nilsson 1, Nikolaos Karamperis 1, Bent Kristensen 1, Søren Daustrand Ladefoged 2, Henrik Post Hansen 1
PMCID: PMC4832997  PMID: 26333543

Abstract

Background

If blood pressure (BP) falls during haemodialysis (HD) [intradialytic hypotension (IDH)] a common clinical practice is to reduce the extracorporeal blood flow rate (EBFR). Consequently the efficacy of the HD (Kt/V) is reduced. However, only very limited knowledge on the effect of reducing EBFR on BP exists and data are conflicting. The aim of this study was to evaluate the effect and the potential mechanism(s) involved by investigating the impact of changes in EBFR on BP, pulse rate (PR) and cardiac output (CO) in HD patients with arteriovenous-fistulas (AV-fistulas).

Methods

We performed a randomized, crossover trial in 22 haemodynamically stable HD patients with AV-fistula. After a conventional HD session each patient was examined during EBFR of 200, 300 and 400 mL/min in random order. After 15 min when steady state was achieved CO, BP and PR were measured at each EFBR, respectively.

Results

Mean (SD) age was 71 (11) years. Systolic BP was significantly higher at an EBFR of 200 mL/min as compared with 300 mL/min [133 (23) versus 128 (24) mmHg; P < 0.05], but not as compared with 400 mL/min [133 (23) versus 130 (19) mmHg; P = 0.20]. At EBFR of 200, 300 and 400 mL/min diastolic BP, mean arterial pressure, PR and CO remained unchanged.

Conclusion

Our study does not show any consistent trend in BP changes by a reduction in EBFR. Reduction in EBFR if BP falls during IDH is thus not supported. However, none of the patients experienced IDH. Further studies are required to evaluate the impact of changes in EBFR on BP during IDH.

Keywords: blood flow rate, cardiac output, extracorporeal circulation, intradialytic hypotension, renal dialysis

INTRODUCTION

Symptomatic hypotension during haemodialysis (HD) [intradialytic hypotension (IDH)] occurs in 15–30% of HD sessions [1, 2] and is an independent predictor of cardiovascular morbidity [3] and mortality [2].

The underlying pathophysiology of IDH seems to be multifactorial. Factors such as inadequate plasma volume during fluid removal [1, 4], rapid reduction in plasma osmolality [5], autonomic dysfunction [6], heart disease [79], impaired baroreflexes [10], release of endotoxins [11], adenosine [12] and increased synthesis of endogenous vasodilators have been suggested [13].

IDH is usually treated by discontinuation of fluid removal and volume replacement [2, 14, 15]. Reduction in extracorporeal blood flow rate (EBFR) during HD has been suggested as a supplementary treatment modality [16]. However, data on the impact of changes in EBFR on blood pressure (BP) during HD are conflicting and very limited [1719]. Interestingly, data from Trivedi et al. [17] demonstrated an increase in systolic (SBP) and diastolic (DBP) blood pressure with increasing EBFR. The underlying mechanism was not investigated.

The aim of the present study was to investigate the impact of changes in EBFR on blood pressure (BP), pulse rate (PR) and cardiac output (CO) in haemodynamically stable patients on chronic HD.

MATERIALS AND METHODS

The study was a prospective, randomized, crossover trial. The local ethics committee approved the study and all patients gave written informed consent.

Patients and randomization

Twenty-two consecutive patients on chronic HD who fulfilled the following inclusion criteria were enrolled in this study: an arteriovenous-fistula (AV-fistula) as vascular access and an age of 18 years or above. Before study examination, the selected patients were not susceptible to symptomatic blood pressure decline during HD. Exclusion criteria were (i) pregnancy, (ii) dementia and (iii) a symptomatic decline in systolic blood pressure below 100 mmHg or a symptomatic decline in systolic blood pressure equal to or above 30 mmHg during study examination.

Each patient was allocated to a combination of the sequence of EBFRs. The combinations were divided into balanced blocks using the generator provided at www.randomization.com. Balanced block means permutations in a block are selected at random without replacement until the set of all permutations is exhausted before advancing to the next block. At www.randomization.com we chose the setting of 48 subjects divided into 8 blocks (and using seed 11224), which meant that a given combination within a block occurred randomly once whereby they became balanced. The sequence of EBFRs was blinded to the patient.

One patient was omitted from all calculations, and another two patients from calculations regarding changes in EBFR, due to missing data (technical failures with the haemodialysis monitor's ability to estimate CO).

Intervention

Patients were investigated prior to and after one conventional HD session.

Prior to the HD session, an echocardiograph was performed to evaluate left ventricular ejection fraction (LVEF) and establish the degree of potential heart failure. Furthermore, AV-fistula recirculation, a confounder of the measurement of EBFR, was excluded at an EBFR of 400 mL/min (Figure 1).

FIGURE 1:

FIGURE 1:

Measurements performed during a single HD session for each patient. Arrows show points of measurements (pulse rate, blood pressure, cardiac output). EBFR, extracorporeal blood flow rate. *Recirculation excluded.

After the HD session with regular ultrafiltration (UF) of a maximum of 1 L/h for the patients to obtain dry weight, UF was stopped, while dialysis continued, to avoid any influence of fluid removal during the investigation. The patient was examined at EBFR of 200, 300 and 400 mL/min in random order. Each EBFR was maintained for 15 min to gain steady state before measurements of BP, PR and CO. BP and PR were measured thrice and a mean was calculated while CO was measured twice and a mean was calculated. If there was a difference of >15% a third CO was measured and the mean of the two nearest results was used for calculation. Apart from the assessment of body weight (BW) all measurements were carried out with the patients in the supine position.

Cardiac output, stroke volume and total peripheral resistance

CO was estimated with the Transonic's HD03-CO Flow-QC® Hemodialysis Monitor using the ultrasound dilution method [20].

The method is validated against thermo dilution in intensive care patients (R = 0.97) [21] and against aortic flow probe and against cardiac bypass pump in pigs (R = 0.95 and 0.97, respectively) [22]. Reproducibility of CO, expressed as absolute percentage deviation from the average of duplicates, is 4.3 ± 3.8% [23].

Total peripheral resistance was calculated as mean arterial blood pressure (MAP) divided with CO and stroke volume as CO divided with PR.

Dialysis, blood pressure and pulse rate

We used Gambro AK 200 Ultra S. All HD sessions were according to the dialysis units standard with a temperature 37°C and dialysate ion-concentrations consisting of: Na+ 140 mmol/L, HCO3 38 mmol/L, K+ 2.0 mmol/L, Ca2+ 1.25 mmol/L. Filters used were PF 170 or PF 210 from Gambro.

BP and PR were measured using the dialysis machine. Accuracy was ±3 mmHg for BP measurements and ±3 BPM for PR measurements.

No haemodiafiltration was performed.

Echocardiography

Two-dimensional (2D) echocardiograph was performed on a General Electric VIVID 9, BT12 ultrasound system. All measurements including the degree of diastolic function (graded 1–3) were assessed according to the European Association of Echocardiography (EAE) and the American Society of Echocardiography (ASE) recommendations [24]. All echocardiographs were performed by one experienced operator who was blinded to any clinical data. Two operators separately evaluated all echocardiographs.

Statistics

Based on data from Krivitski and Depner [23] and using a minimal clinically important difference in CO of 1.7 L/min and a standard deviation (SD) of 1.4 L/min along with a power of 0.90 and a risk of type 1 error of 0.05 we calculated a necessary sample size of 17 patients. The sample size was estimated using a sample size tool for crossover studies derived from http://hedwig.mgh.harvard.edu/sample_size/js/js_crossover_quant.html.

Except for stroke volume, time on dialysis and diuresis, none of the variables departed from the assumption of normal distribution when estimated with Shapiro–Wilk tests and QQ-plots. Normally distributed data are presented as mean (SD), while non-normally distributed data are presented as geometric mean; IQ range (stroke volume) or median; IQ range (time on dialysis/diuresis).

Sample means were compared using paired Student's t-tests. Simple linear regression was used to test for linear associations between the absolute and relative change in EBFR and MAP and between UF and MAP and CO. For these calculations we used JMP, Statistical Discovery from SAS, version 11, 2013.

Carry-over effects were ruled out using the recommendations in [25] and the author's S-PLUS code adapted for the statistical software ‘R’ [26].

RESULTS

Patients

Baseline characteristics are presented in Table 1. Renal failure was due to diabetes (n = 7), hypertension (n = 3), adult polycystic kidney disease (n = 2), myelomatosis (n = 2), bilateral nephrectomy (n = 2), acute kidney injury (n = 1) and of unknown origin (n = 3). Known risk factors for cardiovascular disease were common in investigated patients such as diabetes (n = 9), hypertension (n = 11) and signs of arteriosclerosis: ischaemic heart disease (n = 8), stroke (n = 2) and limp ischaemia (n = 1).

Table 1.

Baseline characteristics

N (female/male) 21 (10/11)
Age (years) 71 (11)
Time on dialysis (months)a 46 (27–60)
Ultrafiltration (L/dialysis) 1.5 (1.0)
Blood pressure (mmHg) 139/71 (17/10)
Cardiac output (L/min) 5.3 (1.4)
LVEF ≥40 % (N) 16
RVEF normal (TAPSE >18 mm) (N) 16
Diastolic dysfunction, grade ≥2 (N) 7
Diuresis (L/24 h)a 0.0 (0.0–0.9)a
Haemoglobin (mmol/L) 7.4 (0.7)
Albumin (g/L) 39 (4.7)

TAPSE, tricuspid annular plane systolic excursion.

Mean (SD) or amedian (interquartile range).

Patients were treated with loop diuretic (n = 10), renin angiotensin system blockers (n = 7), calcium antagonists (n = 7) and beta-blockers (n = 8).

All except one patient had some degree of diastolic dysfunction (grade 1–3).

None of the patients suffered from IDH during measurements.

Measurements

Results of changes in EBFR

No trend between EBFR and SBP/DBP was found (R2 = 0; not significant). However, SBP was significantly higher at an EBFR of 200 mL/min, as compared with 300 mL/min [133 (23) versus 128 (24) mmHg; P < 0.05; mean (SD)], but not as compared with 400 mL/min [133 (23) versus 130 (19) mmHg; P = 0.20] (Table 2). At EBFR of 200, 300 and 400 mL/min, respectively, DBP, MAP, PR and CO remained unchanged. No carry-over effects were detected for any of the outcomes.

Table 2.

Blood pressure, pulse rate and cardiac output at different levels of extracorporeal blood flow rates (EBFR)

EBFR (mL/min) 200 300 400 P
Blood pressure (mmHg)
 Systolic 133 (23) 128 (24)a 130 (19) a<0.05
 Diastolic 67 (11) 66 (11) 65 (10) NS
 Mean 89 (13) 86 (13) 87 (11) NS
Pulse rate (beats/min) 76 (14) 76 (12) 75 (13) NS
Cardiac output (L/min) 5.1 (1.0) 5.1 (1.2) 5.0 (1.3) NS

Mean (SD), aComparing EBFR 200 and 300 mL/min, N = 19. NS, not significant.

Changes in haemodynamic during the HD session

During the HD session we demonstrated a significant decline in SBP, DBP, MAP, BW and stroke volume (SV) while PR, CO and calculated total peripheral resistance (TPR) remained unchanged (Table 3). We demonstrated a significant correlation between absolute and relative changes in CO and MAP during HD (R2 = 0.45, P < 0.002 (Figure 2); R2 = 0.38, P < 0.005). No significant correlations were found between total ultrafiltration and absolute changes in MAP (R2 = 0.13; P = 0.11) or CO (R2 = 0.02; P = 0.49).

Table 3.

Changes in blood pressure, pulse rate, cardiac output, stroke volume, total peripheral resistance (TPR) and body weight during an HD session

At EBFR 400 mL/min Start HD End HD P
Blood pressure (mmHg)
 Systolic 139 (17) 132 (19) <0.05
 Diastolic 71 (10) 66 (9) <0.01
 Mean 94 (10) 88 (11) <0.01
Pulse rate (beats/min) 72 (12) 75 (12) NS
Cardiac output (L/min) 5.3 (1.4) 5.0 (1.3) 0.07
Stroke volume (mL/min)a 71.9 (61.0–86.7) 64.3 (50.7–76.7) <0.05
TPR (mmHg × min/L) 18.8 (5.6) 18.7 (4.9) NS
Body weight (kg) 74.8 (14) 73.7 (14) <0.001

EBFR, extracorporeal blood flow rate; NS, not significant.

Mean (SD) or ageometric mean (interquartile range), N = 21.

FIGURE 2:

FIGURE 2:

Correlation between change in cardiac output (CO) and change in mean arterial blood pressure (MAP) during a conventional HD session (n = 20). Regression coefficient 5.8; P < 0.002; R2 = 0.45.

DISCUSSION

The main finding from our prospective, randomized, crossover trial was that changes in EBFR did not show any consistent trend in the changes of systemic BP, PR or CO in normotensive, non-IDH prone HD patients.

Previous data on the present issue are sparse and contradictory. We could not reproduce previous findings by Trivedi et al. [17] who demonstrated an increase in SBP (4.1 mmHg) and DBP (3.0 mmHg) during an increase in EBFR from 200 to 400 mL/min. Similar to our study, the study by Trivedi et al. had a crossover and randomized design, but was carried out on two separate days a week apart. Furthermore, we controlled for a carry-over effect and there was virtually no time delay (15 min) between the changes in EBFR, which excluded other errors of period by treatment interaction, e.g. influence of other potential factors such as fluid intake in the period between the measurements [25]. Finally, we excluded UF to avoid influence on BP from fluid removal.

A randomized study by Alfurayh et al. [18] examined the effect of randomly chosen EBFR of 250 mL/min, 350 mL/min and 450 mL/min in 10 young, stable chronic HD patients free of antihypertensive treatment during three HD sessions a week apart. They found no changes in LVEF or CO evaluated by 2D echocardiography, nor in PR or BP.

Observational studies on the association between EBFR and BP are conflicting. In a prospective, observational study of 218 prevalent HD patients Flythe et al. [19] did not find any association between changes in EBFR and SBP variability (EBFR <400 mL/min versus ≥400 mL/min). In contrast, data from the HEMO study [27] suggested a lower incidence of IDH with increasing EBFR. However, this observation, as stated by the authors, could be confounded by patients being less likely to have cardiovascular disease and diabetes and therefore able to tolerate higher EBFR.

Comparable to previous studies there are several limitations of the present study. None of the patients experienced any IDH during the investigation. Whether a reduction in EBFR during IDH will affect systemic BP is still not established.

All patients in the present study were examined at the end of a conventional dialysis. Previous data by Bergström et al. [5] have demonstrated that a rapid reduction in plasma osmolarity (removal of urea and other solutes) initiated at the onset of HD contributes to IDH, due to osmotic removal of fluid into the cells depleting the extracellular volume and interference with sympathetic responsiveness to volume depletion (UF). Correspondingly, recent data by Dinesh et al. [28] demonstrated a bi-phasic decline in systemic BP during HD, with an early faster decline in BP of 25.5 mmHg (independent of UF volume/rate) observed within the first 25% of the HD session, followed by a late subsequent decline in BP of 5.8 mmHg (dependent of UF volume/rate). The early faster decline in BP might reflect mechanisms comparable to those reported by Bergström et al.

We speculate that since the clearance of urea is largest early in the HD session and highly dependent on EBFR, a greater impact of changes in EBFR on BP will be present early during HD.

In our study, the majority of patients received antihypertensive medications. Several angiotensin-converting-enzyme inhibitors and beta-blockers are dialysable. Whether there is an impact of antihypertensive treatment on the association between changes in EBFR and BP is unknown. However, Flythe et al. [19] found that antihypertensive medication had no influence on SBP variability regardless of number, class and dialysability.

During a HD session with UF we demonstrated a significant decline in BP, SV and BW, without significant changes in PR, CO and TPR. However, changes in CO and BP were highly significant associated. These data suggest that the reduction in BP appeared to be due to a fall in SV as found by others [29, 30]. The observed decrease in SV seems to be due to fluid removal during HD, resulting in haemodynamic changes consistent with a decrease in preload [31].

In conclusion, our study does not support of the use of a reduction in EBFR to increase systemic BP during HD. Further studies are required to evaluate the impact of changes in EBFR on BP during IDH.

CONFLICT OF INTEREST STATEMENT

The results presented in this paper have not been published previously in whole or part, except in abstract format. None of the investigators received any financial or material contribution in any form. There are no conflicts of interests.

REFERENCES

  • 1.Daugirdas JT. Pathophysiology of dialysis hypotension: an update. Am J Kidney Dis 2001; 38: S11–S117 [DOI] [PubMed] [Google Scholar]
  • 2.Palmer BF, Henrich WL. Recent advances in the prevention and management of intradialytic hypotension. J Am Soc Nephrol 2008; 19: 8–11 [DOI] [PubMed] [Google Scholar]
  • 3.Chang TI, Paik J, Greene T et al. Intradialytic hypotension and vascular access thrombosis. J Am Soc Nephrol 2011; 22: 1526–1533 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Thijssen S, Kappel F, Kotanko P. Absolute blood volume in hemodialysis patients: why is it relevant, and how to measure it? Blood Purif 2013; 35: 63–71 [DOI] [PubMed] [Google Scholar]
  • 5.Bergström J, Asaba H, Furst P et al. Dialysis, ultrafiltration, and blood pressure. 1976. Blood Purif 2006; 24: 222–226; discussion 226–231 [DOI] [PubMed] [Google Scholar]
  • 6.Sato M, Horigome I, Chiba S et al. Autonomic insufficiency as a factor contributing to dialysis-induced hypotension. Nephrol Dial Transplant 2001; 16: 1657–1662 [DOI] [PubMed] [Google Scholar]
  • 7.Yang NI, Wang CH, Hung MJ et al. Real-time three-dimensional echocardiography provides advanced haemodynamic information associated with intra-dialytic hypotension in patients with autonomic dysfunction. Nephrol Dial Transplant 2010; 25: 249–254 [DOI] [PubMed] [Google Scholar]
  • 8.Barberato SH, Misocami M, Pecoits-Filho R. Association between left atrium enlargement and intradialytic hypotension: role of diastolic dysfunction in the hemodynamic complications during hemodialysis. Echocardiography 2009; 26: 767–771 [DOI] [PubMed] [Google Scholar]
  • 9.Burton JO, Jefferies HJ, Selby NM et al. Hemodialysis-induced cardiac injury: determinants and associated outcomes. Clin J Am Soc Nephrol 2009; 4: 914–920 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Chesterton LJ, Selby NM, Burton JO et al. Categorization of the hemodynamic response to hemodialysis: the importance of baroreflex sensitivity. Hemodial Int 2010; 14: 18–28 [DOI] [PubMed] [Google Scholar]
  • 11.McIntyre CW, Harrison LE, Eldehni MT et al. Circulating endotoxemia: a novel factor in systemic inflammation and cardiovascular disease in chronic kidney disease. Clin J Am Soc Nephrol 2011; 6: 133–141 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Shinzato T, Miwa M, Nakai S et al. Role of adenosine in dialysis-induced hypotension. J Am Soc Nephrol 1994; 4: 1987–1994 [DOI] [PubMed] [Google Scholar]
  • 13.Yokokawa K, Mankus R, Saklayen MG et al. Increased nitric oxide production in patients with hypotension during hemodialysis. Ann Intern Med 1995; 123: 35–37 [DOI] [PubMed] [Google Scholar]
  • 14.Knoll GA, Grabowski JA, Dervin GF et al. A randomized, controlled trial of albumin versus saline for the treatment of intradialytic hypotension. J Am Soc Nephrol 2004; 15: 487–492 [DOI] [PubMed] [Google Scholar]
  • 15.Emili S, Black NA, Paul RV et al. A protocol-based treatment for intradialytic hypotension in hospitalized hemodialysis patients. Am J Kidney Dis 1999; 33: 1107–1114 [DOI] [PubMed] [Google Scholar]
  • 16.Taal Maarten W, Brenner Barry M, Rector Floyd C. Brenner & Rector's The Kidney. Philadelphia, PA: Elsevier/Saunders, 2012 [Google Scholar]
  • 17.Trivedi HS, Kukla A, Prowant B et al. A study of the extracorporeal rate of blood flow and blood pressure during hemodialysis. Hemodial Int 2007; 11: 424–429 [DOI] [PubMed] [Google Scholar]
  • 18.Alfurayh O, Galal O, Sobh M et al. The effect of extracorporeal high blood flow rate on left ventricular function during hemodialysis—an echocardiographic study. Clin Cardiol 1993; 16: 791–795 [DOI] [PubMed] [Google Scholar]
  • 19.Flythe JE, Kunaparaju S, Dinesh K et al. Factors associated with intradialytic systolic blood pressure variability. Am J Kidney Dis 2012; 59: 409–418 [DOI] [PubMed] [Google Scholar]
  • 20.Krivitski NM. Novel method to measure access flow during hemodialysis by ultrasound velocity dilution technique. ASAIO J 1995; 41: M741–M745 [DOI] [PubMed] [Google Scholar]
  • 21.Nikiforov YV, Kisluchine VV, Chaus NI. Validation of a new method to measure cardiac output during extracorporeal detoxification. ASAIO J 1996; 42: M903–M905 [DOI] [PubMed] [Google Scholar]
  • 22.Kisloukhine VV, Dean DA. Validation of a novel ultrasound dilution method to measure cardiac output during hemodialysis. ASAIO J 1996; 42: M906–M907 [DOI] [PubMed] [Google Scholar]
  • 23.Krivitski NM, Depner TA. Cardiac output and central blood volume during hemodialysis: methodology. Adv Ren Replace Ther 1999; 6: 225–232 [DOI] [PubMed] [Google Scholar]
  • 24.Nagueh SF, Appleton CP, Gillebert TC et al. Recommendations for the evaluation of left ventricular diastolic function by echocardiography. J Am Soc Echocardiogr 2009; 22: 107–133 [DOI] [PubMed] [Google Scholar]
  • 25.Senn S. Crossover Trials in Clinical Research. UK: John Wiley & Sons, 2002; 10, 11 [Google Scholar]
  • 26.R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2014 [Google Scholar]
  • 27.Mc Causland FR, Brunelli SM, Waikar SS. Dialysis dose and intradialytic hypotension: results from the HEMO study. Am J Nephrol 2013; 38: 388–396 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Dinesh K, Kunaparaju S, Cape K et al. A model of systolic blood pressure during the course of dialysis and clinical factors associated with various blood pressure behaviors. Am J Kidney Dis 2011; 58: 794–803 [DOI] [PubMed] [Google Scholar]
  • 29.Boon D, van Montfrans GA, Koopman MG et al. Blood pressure response to uncomplicated hemodialysis: the importance of changes in stroke volume. Nephron Clin Pract 2004; 96: c82–c87 [DOI] [PubMed] [Google Scholar]
  • 30.Bos WJ, Bruin S, van Olden RW et al. Cardiac and hemodynamic effects of hemodialysis and ultrafiltration. Am J Kidney Dis 2000; 35: 819–826 [DOI] [PubMed] [Google Scholar]
  • 31.Barberato SH, Mantilla DE, Misocami MA et al. Effect of preload reduction by hemodialysis on left atrial volume and echocardiographic Doppler parameters in patients with end-stage renal disease. Am J Cardiol 2004; 94: 1208–1210 [DOI] [PubMed] [Google Scholar]

Articles from Nephrology Dialysis Transplantation are provided here courtesy of Oxford University Press

RESOURCES