The most common complication of arteriovenous fistula (AVF) is stenosis, which can result in poorer hemodialysis (HD) outcomes and thrombosis. It is important to identify those stenoses at high risk of thrombosis in order to perform elective treatment to restore their function.
Objectives1) To assess the degree of agreement between Doppler ultrasound (DU) and the temperature gradient technique (TGT) for blood flow measurement (QA). 2) To evaluate the relative importance of different monitoring and/or surveillance methods for detecting significant stenosis using a predictive model.
MethodsA cross-sectional, comparative, observational study was conducted, in which the AVFs of 30 consecutive patients were assessed over a 3-month period, with monthly sampling. First-generation methods were applied, and second-generation methods using TGT and DU were used to measure QA.
Results80% were men and 20% women, with a mean age of 67.03 ± 10.25 years. 100% were hypertensive and 63.33% diabetic. 76.67% had a radiocephalic AVF and 23.33% a humeral AVF. The mean QA by TGT was 980.79 ± 63.86 ml/min and by DU 1098.43 ml/min. In the first sampling, 4 significant stenoses were detected, none in the second, and 3 in the third. In samplings 1 and 3, statistically significant differences were detected in the measurement of QA by TGT and ultrasound. No significant differences were found in any parameter measured by first-generation methods, except for PV in the first sampling. In the Bland-Altman analysis, a 96.7% agreement was observed between QA measurements by TGT and DU (p < 0.0001). The dot plot for the difference of each measurement from the mean for AVFs with QA > 1000 ml/min also showed agreement between both methods, with a deviation of only 4.34%. When first- and second-generation variables were introduced into the predictive model, four combinations with a significant Wilks’ lambda were identified. The combination including QA determined by ultrasound was the most significant, with an overall correct classification of 80.5% when first-generation methods were included together with ultrasound-measured QA.
ConclusionIn our study, the agreement between QA measurement by TGT and Doppler ultrasound is high at all flow levels. Furthermore, the predictive model demonstrates that second-generation methods are superior to first-generation methods for the early detection of clinically significant stenosis.
La complicación más frecuente de la fístula arteriovenosa (FAV) es la estenosis, que puede derivar en una peor calidad de las hemodiálisis (HD) y en trombosis. Es importante detectar aquellas estenosis con alto riesgo de trombosis para poder realizar un tratamiento electivo que restaure su funcionamiento.
Objetivos1) Valorar el grado de concordancia entre la ecografía Doppler (ED) y la técnica de gradiente de temperatura (TGT) para las determinaciones de flujo sanguíneo (QA). 2) Valorar el peso relativo de los diferentes métodos de monitorización y/o vigilancia para detectar estenosis significativa mediante un modelo predictivo.
MétodosSe realizó un estudio observacional, de corte transversal y comparativo, donde se evaluaron las FAV de 30 pacientes consecutivos, durante 3 meses, realizando un muestreo mensual. Se aplicaron métodos de primera generación, y para medir el QA métodos de segunda mediante TGT y ED.
ResultadosEl 80% eran varones y el 20% mujeres, con una edad media de 67,03 ± 10,25 años. El 100% eran hipertensos y 63,33% diabéticos. El 76,67% tenían una FAV radiocefálica y 23,33% humeral. La media del QA por TGT fue 980,79 ± 63,86 ml/min y por ED 1098,43 ml/min. En el primer muestreo se detectaron 4 estenosis significativas, en el segundo ninguna y en el tercer muestreo 3. En los muestreos 1 y 3 se detectaron diferencias estadísticamente significativas para la medición del QA por TGT y ecografía. No se encontraron diferencias significativas en ningún parámetro realizado por método de primera generación, excepto en la PV en el primer muestreo. En el análisis de Bland-Altman, se objetivó una concordancia entre la medida del QA por TGT y por ED del 96,7% (p < 0,0001). El dot plot para la diferencia de cada medida con la media para FAV con QA > 1000 ml/min también mostró concordancia entre ambos métodos, con solo una desviación del 4,34%. Al introducir en el modelo predictivo las variables de primera y segunda generación, se identificaron cuatro combinaciones con lambda de Wilks significativa. La combinación que incluye los QA determinados por ecografía fueron los más significativos, con asignación global correcta del 80,5% cuando incluye métodos de primera generación junto con QA medido por ecografía.
ConclusiónEn nuestro trabajo la concordancia entre la medición del QA por TGT y ecografía Doppler es elevada en todos los niveles de flujo. Además, el modelo predictivo demuestra que los métodos de segunda generación son superiores a los métodos de primera para detectar estenosis clínicamente significativas precozmente.
Maintaining a functioning vascular access (VA) is of vital importance for hemodialysis (HD) patients. The native arteriovenous fistula (native AVF) is the preferred option in most cases because it presents fewer complications and has greater durability than prosthetic arteriovenous fistulae (prosthetic AVF) and central venous catheters (CVC).1 The radiocephalic arteriovenous fistula (AVF) at the wrist is preferred due to its numerous advantages, including fewer complications, greater long-term patency, and better preservation of the proximal venous territory for another fistula in the event that new VA creation is required.2–7
The most common complication of AVF is stenosis, which can result in poorer HD quality and thrombosis, which is one of the most feared complications. It is important to identify stenoses at high risk of thrombosis in order to perform elective treatment to restore their function.8–12
Over time, various methods of AVF surveillance have been developed. AVF monitoring and/or surveillance screening methods are classified into 2 major groups: first- and second-generation.13–17 First-generation methods include physical examination, difficulty with puncture and/or cannulation of the AVF, aspiration of clots during puncture, increased negative pre-pump arterial pressure (AP), inability to achieve the prescribed blood pump flow (QB), increased return or venous pressure (VP), prolonged hemostasis time in the absence of excessive anticoagulation, native AVF overload test by blood pump flow (QB), dynamic venous pressure, equivalent or normalized static intra-access pressure, recirculation percentage, and unexplained decrease in hemodialysis adequacy (Kt, Kt/V, urea recirculation percentage).8,13–17 Second-generation methods are based on measuring AVF blood flow (QA) by indirect methods using dilution methodology8,18–26 or directly by Doppler ultrasound (DU).8,27,28 Among the dilution methods are those performed with reversal of HD blood lines: ultrasound dilution method18 hematocrit/hemoglobin dilution (delta H) associated with ultrafiltration,19,20 dialysate conductivity difference (ionic dialysance),21,22 thermodilution (thermal gradient),23,24 and those performed without reversal of blood lines: transcutaneous optical method25 and glucose perfusion method.26 Several studies have demonstrated agreement among dilution screening methods when performed simultaneously, and there is consensus in the literature that no technique is superior to another.21–26,29–33 Good correlation has also been demonstrated when QA is measured using dilution techniques and Doppler ultrasound.34–40
The dilution screening method using the temperature gradient technique (TGT) was described in 2007 by Wjinen et al.24 and was validated against the ultrasound dilution method. The TGT method calculates QA by analyzing the thermal recirculation produced when the arterial and venous lines of the HD circuit are reversed. For this purpose, the blood temperature monitor (BTM) sensor incorporated into the dialysis machine is used.24,30 In addition, a device can be used that shortens the measurement time by allowing reversal of the HD blood lines without the need to disconnect the needles or stop the blood pump of the HD machine.30 Studies have demonstrated that for QA calculation, agreement is similar when comparing the TGT method with other dilution methods.24,30
The objective of this study was to assess the degree of agreement between Doppler ultrasound and TGT for QA measurements, a comparison not previously performed. As a secondary objective, the relative importance of the different monitoring and/or surveillance methods for detecting significant stenosis was evaluated using a predictive model.
Materials and methodsStudy designA cross-sectional, comparative, observational study was conducted in which the AVFs of 30 consecutive patients meeting the following inclusion criteria were evaluated: 1) Age ≥ 18 years. 2) Prevalent on chronic HD 3 times per week. 3) Use of a native AVF as VA for HD. 4) Minimum native AVF duration of 3 months. 5) Native AVF puncture with 2 needles during ≥ 12 consecutive HD sessions. 7) Use of a blood pump flow on the HD monitor ≥ 300 ml/min during 12 consecutive HD sessions. 8) Obtaining informed consent from the patient to participate in the study.
The study period lasted 3 months. Monthly sampling was performed, collecting data from the mid-week HD session and determining QA by the dilution method using TGT and by ultrasound.
The screening techniques collected using first-generation methods were: negative pre-pump arterial pressure (AP) (mmHg), venous pressure (VP) (mmHg) on the HD monitor, urea recirculation percentage (%), Kt (liters), and Kt/V.
To determine QA using TGT, the BTM sensor incorporated into the Fresenius Medical Care® 5008 S machine was used during the first hour of HD. For line reversal, the Twister® device (Fresenius Medical Care) was used, which allows automatic reversal of the HD blood lines by simply turning a screw, without having to disconnect the needles or stop the blood pump of the HD machine. After measurement, another turn of the device in the opposite direction restored the normal blood line configuration30. This measurement was performed by an HD unit nurse.
QA measurement by Doppler ultrasound was performed before the start of renal replacement therapy by a nephrologist expert in VA ultrasound, performing 3 consecutive measurements and obtaining the mean. For measurement, the General® Versana Active ultrasound scanner was used with the 5–10 MHz linear transducer. QA calculation was performed on the brachial artery using the following formula: QA = Mean velocity average (m/s) × cross-sectional area (mm2) × 60.41
The demographic and clinical characteristics of the patients analyzed were: sex, age, arterial hypertension (AHT), diabetes mellitus (DM), time on hemodialysis in months, native AVF type (radiocephalic/humeral).
Criteria for significant stenosisThe currently agreed-upon criteria for ultrasound stenosis with high risk of thrombosis were followed8,12,42:
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2 main criteria: vessel lumen reduction > 50% + PSV ratio (peak systolic velocity in the stenotic zone/peak systolic velocity in the pre-stenotic zone) > 2.
- •
+ at least one additional criterion: decrease in AVF flow (QA) in native AVF < 500 ml/min or in prosthetic AVF < 600 ml/min and/or QA decrease > 25% if QA < 1000 ml/min and/or residual diameter < 2 mm.
This study was evaluated and approved by the CEIm of the Hospital Clínico Universitario Virgen de la Arrixaca in Murcia. The study was approved on 03/30/2021, with internal code 2021-3-7-HCUVA.
Statistical analysisMean comparisons at each measurement were performed using Student's t-test, with prior analysis of variance equality using Levene's test. Comparison between sampling time points within each method was performed using a paired-samples t-test, and correlations between parameters were obtained using Pearson's correlation. In all cases, a difference was considered significant when p < 0.05.
For comparison of QA measurement methods, a Bland-Altman analysis was performed to quantify the difference from the mean for each method. Upper and lower agreement limits were set at mean ± 1.96, corresponding to a significance of p < 0.05. A first analysis including all samples and a second analysis including only those native AVFs with QA greater than 1000 ml/min were performed.
Data reduction was performed using discriminant function analysis (DFA), testing different combinations of parameters to find the one that best predicted patients who had significant stenosis in any of the 3 samplings performed. Combinations with a Wilks' lambda with p < 0.05 were considered significant. Group membership prediction was performed and a dot plot was drawn for those DFA analyses where more than one discriminant function was produced.
ResultsDemographic and clinical characteristics of the populationA total of 30 patients were included in the study, 24 men (80%) and 6 women (20%), with a mean age of 67.03 ± 10.25 years. All patients included were hypertensive and 19 (63.33%) were diabetic. The mean time on hemodialysis was 42.79 ± 45.16 months. Regarding AVF type, 23 patients (76.67%) had a radiocephalic AVF and 7 (23.33%) had humeral AVFs.
Overall mean flow measurement by TGT and ultrasoundThe mean QA measured by TGT was 980.79 ± 63.86 ml/min and by ultrasound 1098.43 ml/min. In the first flow sampling, 4 significant stenoses (13.33%) were detected out of the 30 AVFs. All 4 AVFs were treated, recovered flow, and remained in the study. In the second sampling, no stenosis was detected, and in the third sampling, 3 significant stenoses (10%) were detected (one restenosis and 2 new stenoses) that were also treated. The treatments performed were 5 angioplasties in 5 patients, and the sixth patient underwent an angioplasty at first detection and subsequently a proximal reanastomosis (Table 1).
QA values obtained by TGT and ultrasound for each patient at each study sampling.
| ID | Sampling | QA TGT (ml/min) | QA Ultrasound (ml/min) | Stenosis | Treatment |
|---|---|---|---|---|---|
| 1 | 1 | 573.3 | 599.86 | Yes | Angioplasty |
| 2 | 637 | 708.23 | No | ||
| 3 | 690.37 | 819.66 | No | ||
| 2 | 1 | 1136.47 | 1743.33 | No | |
| 2 | 1260 | 1127.5 | No | ||
| 3 | 1368 | 1711.66 | No | ||
| 3 | 1 | 1354.08 | 1873.66 | No | |
| 2 | 937.333 | 1452 | No | ||
| 3 | 950.46 | 2164.33 | No | ||
| 4 | 1 | 726.432 | 836.63 | No | |
| 2 | 653.907 | 1041.4 | No | ||
| 3 | 653.91 | 697.7 | No | ||
| 5 | 1 | 711.317 | 1018.8 | No | |
| 2 | 671.03 | 980.36 | No | ||
| 3 | 559.62 | 1069.5 | No | ||
| 6 | 1 | 1033.356 | 1808.66 | No | |
| 2 | 965.557 | 1360 | No | ||
| 3 | 1290.99 | 2021.66 | No | ||
| 7 | 1 | 1085 | 777.73 | No | |
| 2 | 1136.47 | 1420.66 | No | ||
| 3 | 748.65 | 865.16 | No | ||
| 8 | 1 | 688.369 | 496.73 | No | |
| 2 | 439.435 | No | |||
| 3 | 394.12 | 693.73 | Yes | Angioplasty | |
| 9 | 1 | 568.75 | 1158.66 | No | |
| 2 | 693 | 823.65 | No | ||
| 3 | 539.4 | 1077.4 | No | ||
| 10 | 1 | 3296.667 | 2749.66 | No | |
| 2 | 3296.667 | 2474 | No | ||
| 3 | 2430.4 | 2090 | No | ||
| 11 | 1 | 493.161 | 560.45 | Yes | Angioplasty |
| 2 | 849.333 | 899.03 | No | ||
| 3 | 769.09 | 738.83 | No | ||
| 12 | 1 | 696.347 | 913.86 | No | |
| 2 | 695.454 | 851.45 | No | ||
| 3 | 558 | 682.56 | No | ||
| 13 | 1 | 2016 | 1734 | No | |
| 2 | 1221.428 | 2161 | No | ||
| 3 | 1393.33 | 1169.7 | No | ||
| 14 | 1 | 819.736 | 865.3 | No | |
| 2 | 918.823 | 784.4 | No | ||
| 3 | 753.32 | 908 | No | ||
| 15 | 1 | 877.639 | 1413 | No | |
| 2 | 753.321 | 1064.16 | No | ||
| 3 | 769.09 | 1196.33 | No | ||
| 16 | 1 | 748.65 | 1147.6 | No | |
| 2 | 927.36 | 1219 | No | ||
| 3 | 892.8 | 708.2 | No | ||
| 17 | 1 | 982.956 | 908.2 | No | |
| 2 | 519 | 1009.3 | No | ||
| 3 | 748.65 | No | |||
| 18 | 1 | 347.56 | 940.5 | No | |
| 2 | 416.29 | 894.56 | No | ||
| 3 | 382.92 | 693.6 | No | ||
| 19 | 1 | 1165.5 | 1031.73 | No | |
| 2 | 1717.33 | 1180.96 | No | ||
| 3 | 2829.4 | 1005.46 | No | ||
| 20 | 1 | 711.317 | 1105.5 | No | |
| 2 | 632.4 | 1159 | No | ||
| 3 | 1192.14 | 833.13 | No | ||
| 21 | 1 | 382.918 | 526.83 | Yes | Angioplasty |
| 2 | 530.068 | 592.25 | No | ||
| 3 | 493.16 | 445.43 | Yes | Reanastomosis | |
| 22 | 1 | 688.369 | 604.36 | No | |
| 2 | 546.84 | 745.26 | No | ||
| 3 | 486.521 | 519.93 | Yes | Angioplasty | |
| 23 | 1 | 713.523 | 923 | No | |
| 2 | 720.476 | 982.8 | No | ||
| 3 | 991.67 | 738.2 | No | ||
| 24 | 1 | 558 | 713.76 | No | |
| 2 | 525 | 939.4 | No | ||
| 3 | 794.85 | No | |||
| 25 | 1 | 1033.356 | 930.33 | No | |
| 2 | 1008 | 1426 | No | ||
| 3 | 729.87 | 677.2 | No | ||
| 26 | 1 | 1014.189 | 1098.26 | No | |
| 2 | 927.36 | 1295 | No | ||
| 3 | 744.8 | 1227.66 | No | ||
| 27 | 1 | 655.2 | 648.5 | No | |
| 2 | 927.36 | 664.63 | No | ||
| 3 | 927.36 | 808.33 | No | ||
| 28 | 1 | 1602.461 | 1456.33 | No | |
| 2 | 2063.88 | 1166.5 | No | ||
| 3 | 2063.88 | 1278.33 | No | ||
| 29 | 1 | 637 | No | ||
| 2 | 542.9 | 878.9 | No | ||
| 3 | 518.09 | 403.86 | Yes | Angioplasty | |
| 30 | 1 | 1638 | 1888.33 | No | |
| 2 | 2268 | 2516.66 | No | ||
| 3 | 2063.88 | 1231.33 | No |
ID: patient identification; QA: brachial artery blood flow; TGT: temperature gradient technique.
In the Bland-Altman analysis, a 96.7% agreement was observed between flow measurement by TGT and by Doppler ultrasound (p < 0.0001), as only 3 measurements had a difference greater than the mean ± 1.96 (Fig. 1).
The dot plot for the difference of each measurement from the mean for AVFs with QA > 1000 ml/min measured by ultrasound and TGT is shown in Fig. 2. It shows agreement between both methods greater than 95%, with only a 4.34% deviation of the samples.
Comparison of basic statistics using first- and second-generation methods in the AVF group with and without stenosisIn AVFs with stenosis compared with AVFs without stenosis, statistically significant differences were detected in samplings 1 and 3 for QA measurement by TGT and by ultrasound. No significant differences were found in any first-generation parameter, except for venous pressure (VP) (p = 0.048) in the first sampling (Table 2).
Comparison of first- and second-generation parameters in patients with and without significant stenosis.
| Variables | Stenosis No | Stenosis Yes | Significance (p) |
|---|---|---|---|
| Sampling 1 | |||
| No (N = 26) | Yes (N = 4) | ||
| Negative AP (mean ± SD) (mmHg) | 186.85 ± 3.50 | 179.50 ± 3.352 | NS |
| VP (mean ± SD) (mmHg) | 185.14 ± 4.13 | 158.28 ± 11.59 | p = 0.048 |
| Recirculation (mean ± SD) (%) | 14.96 ± 0.72 | 18.98 ± 3.10 | NS |
| Kt (mean ± SD) (liters) | 57.97 ± 1.23 | 59.03 ± 5.79 | NS |
| Kt/V (mean ± SD) | 1.83 ± 0.06 | 1.83 ± 0.19 | NS |
| QA TGT (mean ± SD) (ml/min) | 1018.75 ± 113.40 | 483.13 ± 55.19 | p = 0.0003 |
| QA Ultrasound (mean ± SD) (ml/min) | 1184.09 ± 101.26 | 562.38 ± 21.10 | p < 0.0001 |
| Variables | Stenosis No | Stenosis Yes | Significance (p) |
|---|---|---|---|
| Sampling 2 | |||
| No (N = 30) | Yes (N = 0) | ||
| Negative AP (mean ± SD) (mmHg) | 186.38 ± 17.98 | NA | |
| VP (mean ± SD) (mmHg) | 182.22 ± 23.86 | NA | |
| Recirculation (mean ± SD) (%) | 18.43 ± 3.83 | NA | |
| Kt (mean ± SD) (liters) | 58.54 ± 6.21 | NA | |
| Kt/V (mean ± SD) | 1.85 ± 0.35 | NA | |
| QA TGT (mean ± SD) (ml/min) | 980.03 ± 623.41 | NA | |
| QA Ultrasound (mean ± SD) (ml/min) | 1166.14 ± 482.71 | NA | |
| Variables | Stenosis No | Stenosis Yes | Significance (p) |
|---|---|---|---|
| Sampling 3 | |||
| No (N = 27) | Yes (N = 3) | ||
| Negative AP (mean ± SD) (mmHg) | 185.97 ± 3.365 | 180.35 ± 11.00 | NS |
| VP (mean ± SD) (mmHg) | 182.022 ± 4.83 | 179.24 ± 16.83 | NS |
| Recirculation (mean ± SD) (%) | 17.13 ± 0.88 | 18.44 ± 1.49 | NS |
| Kt (mean ± SD) (liters) | 59.78 ± 1.38 | 57.04 ± 2.96 | NS |
| Kt/V (mean ± SD) | 1.82 ± 0.06 | 1.86 ± 0.17 | NS |
| QA TGT (mean ± SD) (ml/min) | 1081.68 ± 126.16 | 472.97 ± 27.15 | p < 0.0001 |
| QA Ultrasound (mean ± SD) (ml/min) | 1088.3 ± 90.72 | 515.74 ± 64.00 | p < 0.0001 |
SD: standard deviation; Kt: K (dialyzer clearance), t (dialysis time); Kt/V: K (dialyzer clearance), t (dialysis time), V (urea distribution volume); N: total number of patients; NA: not applicable; NS: not significant; AP: negative pre-pump arterial pressure; VP: venous pressure; QA: brachial artery blood flow; TGT: temperature gradient technique.
When first- and second-generation variables were introduced into the predictive model, we observed that 4 parameter combinations out of the 7 combinations tested had a significant Wilks' lambda (p < 0.05). Of the combinations with a significant Wilks' lambda, the combination with QA determined by Doppler ultrasound was the most significant, with an overall correct classification of 80.5% when first-generation methods were included together with ultrasound-measured QA. However, QA measured by TGT in combination with first-generation methods did not improve predictive capacity (p = 0.175). Furthermore, the combination of first-generation methods with QA determined by Doppler ultrasound and TGT lost significance (p = 0.058).
In contrast, the combination of QA determined by TGT and Doppler ultrasound was significant (p = 0.005) with a classification rate of 75.6%, as was QA determined solely by Doppler ultrasound (p = 0.001) with a classification rate of 73.6% and QA determined by TGT (p = 0.02) with a classification rate of 58.4%.
It is noteworthy that in all significant combinations, the correct classification capacity for patients with stenosis was 100%, indicating high sensitivity, although between 45.1% and 21.2% of patients without stenosis were misclassified.
In all cases, only one function was calculated that explained 100% of the variance; therefore, no dot plots were generated for any of the combinations (Table 3).
Statistics obtained for data reduction using DFA.
| Parameters | Wilks' lambda (p-value) | Functions | Classification rate | Stenosis No/Yes |
|---|---|---|---|---|
| Negative AP (mmHg) VP (mmHg) Recirculation (%) Kt (liters) Kt/V | 0.293 | 1 | 74.4% | 74.7/71.4% |
| Negative AP (mmHg) VP (mmHg) Recirculation (%) Kt (liters) Kt/V QA Ultrasound (ml/min) QATGT (ml/min) | 0.058 | 1 | 81.4% | 79.7/100% |
| Negative AP (mmHg) VP (mmHg) Recirculation (%) Kt (liters) Kt/V QA Ultrasound (ml/min) | 0.035 | 1 | 80.5% | 78.8/100% |
| Negative AP (mmHg) VP (mmHg) Recirculation (%) Kt (liters) Kt/V QA TGT (ml/min) | 0.175 | 1 | 77.5% | 75.6/100% |
| QA TGT (ml/min) QA Ultrasound (ml/min) | 0.005 | 1 | 75.6% | 73.4/100% |
| QA Ultrasound (ml/min) | 0.001 | 1 | 73.6% | 71.3/100% |
| QATGT (ml/min) | 0.02 | 1 | 58.4% | 54.9/100% |
DFA: discriminant function analysis; Kt: K (dialyzer clearance), t (dialysis time); Kt/V: K (dialyzer clearance), t (dialysis time), V (urea distribution volume); AP: negative pre-pump arterial pressure; VP: venous pressure; QA: brachial artery blood flow; TGT: temperature gradient technique.
Our study demonstrates that flow calculated by TGT and by Doppler ultrasound shows a high correlation (96.7%), which allows both techniques to be used for AVF QA follow-up in our area. Our work is consistent with other studies in which good correlation has been demonstrated when QA measurement is performed using dilution techniques and Doppler ultrasound.34–40
In the study by Fontseré et al.,39 which assessed the agreement between Doppler ultrasound and thermodilution, a high correlation between both methods was shown. However, for QA values > 1000 ml/min, there was greater dispersion of results. In contrast, our study did not confirm this dispersion, showing agreement greater than 95% between Doppler ultrasound and TGT in this value subset. This demonstrates that for any AVF QA value, both methods show good correlation.
In the present study, the application of first-generation methods (negative pre-pump arterial pressure, recirculation, Kt, Kt/V) did not alert to the presence of significant stenosis, as no statistically significant differences were obtained. Only venous pressure in the first sampling showed a statistically significant decrease in patients with stenosis. This finding alone lacks value, as venous pressure depends on needle location in AVFs with stenosis8. In contrast, the second-generation methods used in our study (Doppler ultrasound and TGT) showed a statistically significant QA reduction in patients with stenosis, both in the first and third samplings, enabling the scheduling of elective therapeutic intervention in these patients. This reaffirms the importance of applying second-generation techniques for early detection of significant stenosis.43 According to the literature, some authors have found that first-generation methods, when showing altered values, may indicate severe AVF stenosis, but they are not the best methods for early detection of significant stenosis.8,44,45
Furthermore, in our study, a predictive model was developed using first-generation and second-generation methods. If group membership classification capacity is understood as sensitivity through the calculated functions, when stenosis prediction is performed using only first-generation methods, this prediction is not statistically significant. However, using QA measurement including both second-generation methods provides very high discriminative power, with a sensitivity of 100% and a specificity of approximately 74%, this prediction being statistically significant. The existence of approximately 26% false positives is acceptable, since imaging tests (ultrasound or fistulography) will rule out the lesion.46 Most importantly, QAcalculation using second-generation methods detects stenosis in 100% of cases, allowing scheduled treatment and preventing fistula loss. The results of our study are consistent with data from the clinical trial by Aragoncillo et al.,43 which demonstrates that flow measurement performed in combination with Doppler ultrasound and ultrasound dilution screening methods reduces the thrombosis rate and increases assisted primary patency after one year of follow-up compared with classical monitoring. Furthermore, Scaffaro et al.47 and Tonelli et al.48 confirm that performing second-generation techniques for native AVF surveillance can decrease the incidence of thrombosis, resulting in decreased morbidity and mortality.
Our findings corroborate the results obtained by other published studies confirming that first-generation methods are not sensitive for early stenosis, because they do not generate hemodynamic problems that affect dialysis quality or physical examination.49,50
Another interesting finding of our study is the fact that second-generation techniques alone show different specificities. While QA measured solely by Doppler ultrasound shows a slightly lower overall specificity than that obtained by combining the two second-generation methods, QA measured solely by TGT shows an evident decrease in specificity. Although it remains a statistically significant model, and in either case it will be able to detect all patients with stenosis, the TGT method will yield nearly half of the results indicating stenosis when it does not actually exist.
Our results regarding QAmeasured by Doppler ultrasound correlate with the study by Moreno Sánchez et al., where Doppler ultrasound shows a sensitivity of 98% and a specificity of 74%.28 However, for QA measured by TGT, there are no studies that specifically evaluate diagnostic performance parameters; therefore, our study adds information about its diagnostic utility.
Our study has some limitations that should be considered. First, it is an observational study with a small sample size, which may limit the statistical power to detect small differences and affect the generalizability of results. Therefore, additional studies would be needed, preferably randomized clinical trials with a larger sample size, to obtain more robust conclusions. Despite these limitations, the study provides preliminary evidence on the importance of establishing an adequate AVF follow-up and monitoring program that enables early detection of stenosis and elective treatments to prevent AVF thrombosis. In this regard, the results highlight the relevance of incorporating second-generation methods, demonstrating greater sensitivity for early stenosis detection, although these findings should be confirmed in larger prospective studies. Furthermore, the included population is well-characterized, and the study was conducted following a systematic and rigorous methodology based on direct comparison between first- and second-generation methods, which strengthens the internal validity of the results.
In conclusion, in our study, the agreement between QA measurement by the temperature gradient technique and Doppler ultrasound shows a high correlation at all flow levels. Furthermore, the predictive model demonstrates that second-generation methods are superior to first-generation methods for the early detection of clinically significant stenosis.
FundingNo funding was received for this study.
The authors declare that they have no conflicts of interest.









