Literature DB >> 35231902

The Next Evolution of HemoDialysis eXpanded: From a Delphi Questionnaire-Based Approach to the Real Life of Italian Dialysis Units.

Sergio Dellepiane1, Marita Marengo2, Mario D'Arezzo3, Gabriele Donati4, Paolo Fabbrini5, Antonio Lacquaniti6, Claudio Ronco7,8, Vincenzo Cantaluppi9.   

Abstract

INTRODUCTION: Impact assessment of new technologies in chronic hemodialysis (HD) is challenging due to HD patient frailty, the complexity of HD clinical trials and practice variability among countries. Among the most recent HD innovations, medium cut-off (MCO) dialyzers present an optimized membrane geometry that provides enhanced clearances for middle and large molecular weight uremic toxins (UT). These toxins are poorly cleared by available HD techniques and largely contribute to patient morbidity and mortality. The aim of this paper is to assess the available clinical evidence about MCO membranes and to identify the next steps needed to generate conclusive data on their use in HD.
METHODS: With this purpose, we first reviewed and compared the current HD technologies aimed to improve the clearance of middle and large UT; subsequently, we used a Delphi questionnaire to identify and discuss the consensus about MCO efficacy within a large sample of the Italian Nephrology community. RESULTS AND
CONCLUSIONS: Our investigation gathered a significant degree of consensus on the beneficial role of MCO membrane and expanded HD. Finally, we used our results to propose future trial designs and clinical investigations aimed to improve evidence quality about the use of these membranes in the present clinical scenario of dialysis units.
© 2022 S. Karger AG, Basel.

Entities:  

Keywords:  Delphi; End-stage kidney disease; Hemodiafiltration; Hemodialysis; Hemodialysis expanded

Year:  2022        PMID: 35231902     DOI: 10.1159/000522038

Source DB:  PubMed          Journal:  Blood Purif        ISSN: 0253-5068            Impact factor:   2.614


  3 in total

1.  The Acceptability of Traditional Culture under the Background of Deep Learning.

Authors:  Qian Sima; Shan Wu
Journal:  Comput Intell Neurosci       Date:  2022-08-23

2.  Clinical Management of Hemodialyzed Patients: From Pharmacological Interventions to Advanced Technologies.

Authors:  Paolo Monardo; Antonio Lacquaniti
Journal:  J Clin Med       Date:  2022-07-25       Impact factor: 4.964

Review 3.  Immune System Dysfunction and Inflammation in Hemodialysis Patients: Two Sides of the Same Coin.

Authors:  Susanna Campo; Antonio Lacquaniti; Domenico Trombetta; Antonella Smeriglio; Paolo Monardo
Journal:  J Clin Med       Date:  2022-06-28       Impact factor: 4.964

  3 in total

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