Application of Estimated Glomerular Filtration Rate Decline Rate to Optimise Timing of Pre‐Emptive Arteriovenous Fistula Creation for Chronic Kidney Disease Patients

Our prediction model helps estimate Tr for individual patients, enabling timely referral for creation of a pAVF. Implementation in clinical practice has the potential to enhance the utilisation of pAVF and reduce the risk of catheter-dependent haemodialysis. However, a prospective validation study is required to confirm the accuracy of the model before its clinical application.

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Publication Details

Journal
Nephrology
Published
2025-06-29
DOI
https://doi.org/10.1111/nep.70029
Primary Topic
Central Venous Catheters and Hemodialysis
Type
article
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article

Application of Estimated Glomerular Filtration Rate Decline Rate to Optimise Timing of Pre‐Emptive Arteriovenous Fistula Creation for Chronic Kidney Disease Patients

Apichat Tantraworasin, Theerachai Thammathiwat, Jiraporn Khorana, Panuwat Chuemor et al.
Nephrology
Central Venous Catheters and Hemodialysis
article

Application of Estimated Glomerular Filtration Rate Decline Rate to Optimise Timing of Pre‐Emptive Arteriovenous Fistula Creation for Chronic Kidney Disease Patients

Apichat Tantraworasin, Theerachai Thammathiwat, Jiraporn Khorana, Panuwat Chuemor, Kittipan Rerkasem
article en

Abstract

Our prediction model helps estimate Tr for individual patients, enabling timely referral for creation of a pAVF. Implementation in clinical practice has the potential to enhance the utilisation of pAVF and reduce the risk of catheter-dependent haemodialysis. However, a prospective validation study is required to confirm the accuracy of the model before its clinical application.

NephrologyVol. 30(7)
Chiang Mai University (TH), Naresuan University (TH)
Reduced inequalities
Openalex Percentile: Top 75%
Central Venous Catheters and Hemodialysis
DOISourceOpenAlex
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Application of Estimated Glomerular Filtration Rate Decline Rate to Optimise Timing of Pre‐Emptive Arteriovenous Fistula Creation for Chronic Kidney Disease Patients — Apichat Tantraworasin, Theerachai Thammathiwat, et al. · Nephrology (2025) | TGRS Research Map | TGRS