BackgroundSatisfactory vascular access flow (Qa) of an arteriovenous fistula (AVF) is necessary
for haemodialysis (HD) adequacy. The aim of the present study was to further our
understanding of haemodynamic modifications of the cardiovascular system of HD patients
associated with an AVF. The main objective was to calculate using real data in what way
an AVF influences the load of the left ventricle (LLV).MethodsAll HD patients treated in our dialysis unit and bearing an AVF were enrolled into the
present observational cross-sectional study. Fifty-six patients bore a lower arm AVF and
30 an upper arm AVF. Qa and cardiac output (CO) were measured by means of the ultrasound
dilution Transonic Hemodialysis Monitor HD02. Mean arterial pressure (MAP) was
calculated; total peripheral vascular resistance (TPVR) was calculated as MAP/CO;
resistance of AVF (AR) and systemic vascular resistance (SVR) are connected in parallel
and were respectively calculated as AR = MAP/Qa and SVR = MAP/(CO − Qa). LLV was
calculated on the principle of a simple physical model: LLV (watt) =
TPVR·CO2. The latter was computationally divided into the part spent to run
Qa through the AVF (LLVAVF) and that part ensuring the flow (CO − Qa) through
the vascular system. The data from the 86 AVFs were analysed by categorizing them into
lower and upper arm AVFs.ResultsMean Qa, CO, MAP, TPVR, LLV and LLVAVF of the 86 AVFs were, respectively,
1.3 (0.6 SD) L/min, 6.3 (1.3) L/min, 92.7 (13.9) mmHg, 14.9 (3.9) mmHg·min/L, 1.3 (0.6)
watt and 19.7 (3.1)% of LLV. A statistically significant increase of Qa, CO, LLV and
LLVAVF and a statistically significant decrease of TPVR, AR and SVR of
upper arm AVFs compared with lower arm AVFs was shown. A third-order polynomial
regression model best fitted the relationship between Qa and LLV for the entire cohort
(R2 = 0.546; P < 0.0001) and for both lower
(R2 = 0.181; P < 0.01) and upper arm AVFs
(R2 = 0.663; P < 0.0001). LLVAVF calculated
as % of LLV rose with increasing Qa according to a quadratic polynomial regression
model, but only in lower arm AVFs. On the contrary, no statistically significant
relationship was found between the two parameters in upper arm AVFs, even if mean
LLVAVF was statistically significantly higher in upper arm AVFs (P <
0.0001).ConclusionsOur observational cross-sectional study describes statistically significant
haemodynamic modifications of the CV system associated to an AVF. Moreover, a quadratic
polynomial regression model best fits the relationship between LLVAVF and Qa,
but only in lower arm AVFs.