Study Design and Setting
This was a prospective, single-center
observational study conducted from October 2023 to December 2024 at the
Department of Nephrology of a tertiary teaching institution after obtaining approval
from the institutional ethics committee.
Sample Size Calculation
The sample size was calculated based on
the assumption of a moderate correlation (r = 0.3) between histological
variables and AVF maturation outcomes according
to a previous study using G-Power (3.1.9.4). Using a two-tailed α of 0.05 and a power (1–β) of 80%, the
minimum required sample size was calculated as 84. Accounting for potential dropouts, loss to
follow-up with a 25% attrition rate, a sample size of 104 was considered for
enrollment.
Study population.
Adults aged 18 to 60 years with
non-diabetic CKD stage 4 and 5, who were planned for AVF creation (radio
cephalic or brachiocephalic), were included. Diabetes mellitus (type 1 or type
2), dialysis vintage more than 3 months, presence of peripheral vascular
disease, and anticipated need for brachio-basilic or two-stage AVF creation
were excluded.
Data collection
Pre-operative assessments
All consenting eligible patients underwent
detailed demographic and clinical evaluation to obtain data on age, sex,
etiology of CKD, body mass index, blood pressure, and medication history. Laboratory
investigations included hemoglobin, serum creatinine, calcium, phosphate, and intact
parathyroid hormone (iPTH)were also performed thereafter.
On the day of surgery, all patients
underwent preoperative, ultrasound-guided venous mapping of both forearms using
a linear array probe (5–10 MHz). The radial and brachial arteries and the
cephalic or basilic veins were evaluated for diameter, depth, patency, and the
presence of thrombus. In addition, the ABI was measured with a Sonosite
ultrasound Doppler probe (5-10 MHz) after a 10-minute rest by obtaining
systolic blood pressures at both brachial arteries and at ankle arteries
(posterior tibial or dorsalis pedis) in the supine position with the heart and
leg at heart level with an appropriately sized cuff. The ABI was calculated as
the mean of three ankle systolic pressures divided by the mean of three
brachial systolic pressures.
Surgical Procedure and Tissue Collection
AVF creation was performed under 2%
lignocaine using a standard side-to-side anastomosis technique at either the
radio-cephalic or brachiocephalic site, depending on vessel suitability. All
procedures were performed by an experienced Nephrologist with a consistent
technique to minimize surgical variability. After obtaining consent from the
patient, a 3–5 mm segment of the vein distal to the site of AVF anastomosis was
excised. Sample was transported to lab
in 10% neutral buffered formalin and submitted for histological processing. Post-surgery
AVF were examined for the presence of thrill and bruit. In the absence of
post-operative thrill, venous dilatation with a dilator is followed by
heparinized saline flush from the distal end of the vein used for AVF
anastomosis. In the absence of thrill or bruit thereafter, defined as surgical
failure. All were advised routine post-operative care, including prevention of
hypotension.
Postoperative Follow-up and Maturation
Assessment
All were followed up clinically and
radiologically for a period of 12 weeks i.e. 2nd, 6th, and 12thweeks.
At 2 weeks, sutures were removed, and the AVF was inspected for complications
such as infection, hematoma, and gangrene. Thrill and bruit were checked. At the
6th week, a thorough physical exam was followed by a Doppler
ultrasound to assess AVF maturation clinically and radiologically. The patient
lay supine with the arm externally rotated ~45°, and internal diameter and
depth were measured in B‑mode at the AVF body ~5 cm proximal to the
anastomosis; peak systolic velocity (Vmax) was obtained at a 60° Doppler angle,
and access flow (mL/min) was auto-calculated from mean velocity and
cross-sectional area, with three measurements averaged per parameter. Wall
shear stress (WSS) is a temporal change in shear forces acting on the venous
wall. This was estimated using Doppler-derived parameters and recorded. The formula
used for calculation of WSS was 2μVmax/R,
where μ represents the dynamic blood viscosity (assumed to be 2.7 centipoise),
Vₘₐₓ is the peak systolic velocity in the vein, and R is the vessel radius.
Radiologic maturation was established
during that period if AVF blood flow ≥500 mL/min and diameter ≥5 mm, and
clinical maturation was defined as successful two-needle cannulation for three
consecutive dialysis sessions. At week 12, physical and Doppler assessments
were repeated, applying the same radiologic thresholds and clinical criteria as
above. Further, AVFs not meeting these criteria were classified as primary AVF
failure.
Histological Processing and Morphometric
Analysis
Venous tissue samples transported from the
OT were embedded in paraffin, sectioned at 4 μm thickness, and stained using
hematoxylin and eosin (H&E) and Masson’s trichrome stains. H&E provided
structural details of intimal and medial layers, while Masson’s trichrome
highlighted collagen deposition, useful for assessing fibrosis.
Quantitative morphometric analysis was
performed using NIH(National Institute of Health) ImageJ software. Images were captured at 4x and 10x
magnifications under standardized lighting.
Parameters measured were 1. Medial fibrosis: Percentage of the medial
area occupied by collagen (blue-stained regions in trichrome-stained sections).
2. Intimal hyperplasia: Calculated as the intimal area divided by the total
vessel wall area. 3. Luminal stenosis: Ratio of intimal thickness to combined
intima + media thickness, and 4. Intima-media ratio (IMR): Ratio of intimal to
medial thickness at the point of maximal intimal proliferation.
Morphometric analysis was performed on
venous sections using ImageJ (NIH, Bethesda, MD, USA) to quantify the
Intima–Media Ratio (IMR), percentage medial fibrosis, percentage intimal
hyperplasia, luminal area, and percentage luminal stenosis. Stained images
captured at 4× and 10× magnification were opened and calibrated to the 100 µm
scale bar by drawing a reference line and setting the pixel-to-micron
conversion to ensure accurate measurements. To facilitate layer
differentiation, images were converted to 8‑bit grayscale and segmented by
threshold using ImageJ’s Threshold tool, creating masks for the lumen, intima,
and media; regions were outlined with polygon tools, measured via the analysis
functions, and managed using the ROI (region of interest) Manager. IMR was
obtained by measuring intimal and medial thicknesses with the line tool and
computing Intima Thickness/Media Thickness; medial fibrosis was quantified by
isolating fibrotic regions within the media using color thresholding (blue
color) and expressing the fibrotic area as a percentage of total medial area.
Intimal hyperplasia was calculated as the percentage change of measured intimal
area relative to a reference intimal area and was also represented as luminal
stenosis categories by degree of luminal narrowing. Percentage luminal stenosis
was calculated as (Total Vessel Area − Luminal Area)/Total Vessel Area × 100
after outlining both areas. All measurements were recorded (with repeated
measures averaged where applicable), exported as CSV files for statistical
analysis, and annotated images were saved in TIFF format for documentation.
Independent observers performed the
measurements, and mean values were used. Inter-observer agreement was confirmed
using intra-class correlation coefficients (ICCs).
Statistical Analysis
All data were entered and analyzed using
IBM SPSS Statistics for Windows, Version 26.0. Normality of continuous
variables was assessed using the Kolmogorov-Smirnov test. Normally distributed
data were expressed as mean ± standard deviation, and non-parametric data as
median (interquartile range).Comparisons between groups (matured vs.
non-matured) were made using the independent samples t-test or Mann-Whitney U
test, as appropriate. Categorical variables were analyzed using the Chi-square
or Fisher’s exact test. Correlations between continuous variables were assessed
using Pearson’s or Spearman’s correlation coefficients. Multivariate logistic
regression analysis was performed to identify independent predictors of
non-maturation. Variables with p < 0.1 in univariate analysis were entered
into the regression model. Operating Characteristic (ROC) curve
analysis was used to evaluate the diagnostic performance of morphometric
variables and to determine optimal cutoff values for predicting AVF non-maturation.