Literature DB >> 23169107

Risk factors predicting the successful function and use of autogenous arteriovenous fistulae for hemodialysis.

Engin Usta1, Raoof Elkrinawi, Shahriar Salehi-Gilani, Sara Adili, Thorsten Sonnentag, Mark Alscher, Ferruh Artunc, Ulrich Franke.   

Abstract

BACKGROUND: For patients with end-stage renal failure hemodialysis with an autogenous arteriovenous fistula (AVF) has proven to be the ideal vascular access.
OBJECTIVE: The aim of this study is to discover potential predictors of a well-functioning hemodialysis fistula.
METHODS: From December 2009 to March 2011, 80 patients undergoing first time AVF creation were enrolled in our retrospective study. We analyzed pre- and postoperative vessel diameters and flow characteristics gained by duplex ultrasonography (DUS) and intraoperative ultrasound transit-time flow measurements regarding intraoperative blood flow and pulsatility index (PI). Follow-up was defined until the end of the first month with regular hemodialysis, 10 weeks after AVF creation. We performed statistical analyses by employing Spearman correlation, t test, analysis of variance, χ2 test, and receiver operating characteristics (ROC).
RESULTS: At the end of the follow-up, 62 patients (78%) featured functioning AVFs and 18 patients (22%) featured nonfunctioning AVFs. Factors influencing AVF function were radial artery diameter (χ2 = 5.23, p = 0.02), intraoperative flow (χ2 = 7.09, p = 0.01), intraoperative PI (χ2 = 6.5, p = 0.01), and postoperative flow (χ2 = 16.29, p = 0.01). According to the ROC analyses, we could develop cut-off values for predicting an ideal AVF function: radial artery diameter more than 2.3 mm, cephalic vein diameter more than 2.7 mm, intraoperative mean flow more than 113 mL/min, PI less than 1.4, and postoperative mean flow more than 160 mL/min.
CONCLUSION: Intraoperative ultrasound transit-time flow measurements gained at surgery and postoperative follow-up with DUS can help identify AVFs that are unlikely to function and therefore need early intervention. Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2012        PMID: 23169107     DOI: 10.1055/s-0032-1321953

Source DB:  PubMed          Journal:  Thorac Cardiovasc Surg        ISSN: 0171-6425            Impact factor:   1.827


  6 in total

1.  Establishment of a rat autogenous arteriovenous fistula model following 5/6 nephrectomy.

Authors:  Chenfei Zheng; Ying Zhou; Chaoxing Huang; Zhouchang Zhang; Y I Liu; Yulan Xu
Journal:  Exp Ther Med       Date:  2015-04-24       Impact factor: 2.447

2.  Multiple preoperative and intraoperative factors predict early fistula thrombosis in the Hemodialysis Fistula Maturation Study.

Authors:  Alik Farber; Peter B Imrey; Thomas S Huber; James M Kaufman; Larry W Kraiss; Brett Larive; Liang Li; Harold I Feldman
Journal:  J Vasc Surg       Date:  2016-01       Impact factor: 4.268

3.  Predictors of Arteriovenous Fistula Failure: A Post Hoc Analysis of the FAVOURED Study.

Authors:  Yong Pey See; Yeoungjee Cho; Elaine M Pascoe; Alan Cass; Ashley Irish; David Voss; Kevan R Polkinghorne; Lai Seong Hooi; Loke-Meng Ong; Peta-Anne Paul-Brent; Peter G Kerr; Trevor A Mori; Carmel M Hawley; David W Johnson; Andrea K Viecelli
Journal:  Kidney360       Date:  2020-09-14

4.  Correlation between preoperative vein and artery diameters and arteriovenous fistula outcome in patients with end-stage renal disease.

Authors:  Alexandru Oprea; Adrian Molnar; Dan Vlăduţiu; Traian Scridon; Cătălin Trifan; Diana Săcui; Vasile Săsărman; Petru Adrian Mircea
Journal:  Clujul Med       Date:  2018-10-30

5.  Intraoperative vascular Doppler ultrasound blood flow and peak systolic velocity predict early patency in hemodialysis arteriovenous fistula.

Authors:  Guilherme de Castro-Santos; Gabriella Yuka Shiomatsu; Rafaela Martins Dos Santos Oliveira; Ricardo Jayme Procópio; Túlio Pinho Navarro
Journal:  J Vasc Bras       Date:  2022-01-07

Review 6.  A meta-analysis of the association between diabetic patients and AVF failure in dialysis.

Authors:  Yan Yan; Dan Ye; Liu Yang; Wen Ye; Dandan Zhan; Li Zhang; Jun Xiao; Yan Zeng; Qinkai Chen
Journal:  Ren Fail       Date:  2018-11       Impact factor: 2.606

  6 in total

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