Long-term survival of arteriovenous fistulas in home hemodialysis patients

Lynn, Kelvin L.; Buttimore, Adrian L.; Wells, J. Elisabeth; Inkster, Judith A.; Roake, Justin; Morton, Jason

doi:10.1111/j.1523-1755.2004.00597.x

Cited by 17 publications

(11 citation statements)

References 25 publications

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“…Before having HD treatment, the patient must go through a surgical access known as anastomosis, which returns the purified blood through a thin fiber after filtering out the waste fluid. The anastomosis is done a few weeks or months before HD treatment and it is done on patient’s elbow or wrist using the non-dominant arm [ 3 , 4 , 5 ]. There are three types of vascular access which are well known in HD treatment, namely Arteriovenous Fistula (AVF), Arteriovenous Graft and Venous Catheter respectively.…”

Section: Introductionmentioning

confidence: 99%

Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor

Stephanus

2018

Sensors

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This paper proposes a noninvasive dual optical photoplethysmography (PPG) sensor to classify the degree of arteriovenous fistula (AVF) stenosis in hemodialysis (HD) patients. Dual PPG measurement node (DPMN) becomes the primary tool in this work for detecting abnormal narrowing vessel simultaneously in multi-beds monitoring patients. The mean and variance of Rising Slope (RS) and Falling Slope (FS) values between before and after HD treatment was used as the major features to classify AVF stenosis. Multilayer perceptron neural networks (MLPN) training algorithms are implemented for this analysis, which are the Levenberg-Marquardt, Scaled Conjugate Gradient, and Resilient Back-propagation, to identify the degree of HD patient stenosis. Eleven patients were recruited with mean age of 77 ± 10.8 years for analysis. The experimental results indicated that the variance of RS in the HD hand between before and after treatment was significant difference statistically to stenosis (p < 0.05). Levenberg-Marquardt algorithm (LMA) was significantly outperforms the other training algorithm. The classification accuracy and precision reached 94.82% and 92.22% respectively, thus this technique has a potential contribution to the early identification of stenosis for a medical diagnostic support system.

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Section: Introductionmentioning

confidence: 99%

Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor

Stephanus

2018

Sensors

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“…However, a study conducted by Kelvin Lynn et al [37] showed that AV fistulas had good long-term survival when accessed frequently during home dialysis, putting fears of premature graft failure to rest.…”

Section: Fistula Usementioning

confidence: 97%

Nocturnal hemodialysis

Kalirao¹,

Kaplan²

2009

Clin Exp Nephrol

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“…La durée moyenne de la formation était de 35 jours (35)(36)(37)(38)(39)(40)(41)(42). Dix patients (83%) ont été installés à domicile.…”

Section: Programme De La Formation Des Patientsunclassified

“…L'abord vasculaire de référence reste la fistule artérioveineuse (FAV) [38]. Il existe une controverse dans la littérature quant à l'augmentation du taux de complications liées aux ponctions répétées en HDQ [ [40,41], alors que deux études nord-américaines retrouvaient le résultat inverse [42,43].…”

Section: Abords Vasculairesunclassified

Early results and medico-economic evaluation of a short daily home hemodialysis program in a Private hemodialysis center

Hebibi¹,

Ciroldi²,

Cornillac³

et al. 2021

Bull Dial Domic

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Between 2015 and 2017 there was a 40% increase in daily hemodialysis, according to the REIN database. This increase concerns 1% of patients and the private sector remains under-represented. Our retrospective study aims to describe the clinical features, the organizational and medico-economic specificities of this technique in a private hemodialysis center. Methods: We included 12 dialyzed patients trained on Nx Stage® machine from February 2020 to April 2021. Data were retrospectively obtained through review of our electronic medical records (EUCLID®). Results: Of the 12 patients trained, 11 dialyzed from home, with an average follow-up of 9 months (1-14). The average age was 45 with a sex ratio of 4/8 (M/W), and a median Charlson score of 3 (2-4). The average residual urinary output was 700 mL/24h, and 50% of patients were anuric. 100% of patients had an arteriovenous fistula and were cannulated using the buttonhole technique. 9 patients are on a transplant list. One patient needed anticoagulants. The mean training time was 35 days (28-35). 83% of patients were dialyzed 6 days a week with an average duration of 210 minutes (130-150) per session. The average volume of dialysate was 24.85 liters. One patient developed an allergy to the PUREMA® membrane. Pre-dialytic hemoglobin, serum creatinine, urea, phosphoremia and B2-microglobuline are stable at 9 months with improvement in metabolic acidosis. Conclusion: DHHD allowed a better socio-professional integration. One patient received a transplant and 3 patients resumed professional activity.

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Long-term survival of arteriovenous fistulas in home hemodialysis patients

Abstract: A multidisciplinary approach has been successful in providing durable AV fistulas for home HD for >95% of consecutive patients entering our program.

Cited by 17 publications

References 25 publications

Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor

Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor

Nocturnal hemodialysis

Early results and medico-economic evaluation of a short daily home hemodialysis program in a Private hemodialysis center

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