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Divert to ULTRA: Differences in Infused Volumes and Clearance in Two On-Line Hemodiafiltration Treatments
Background: Mixed diffusive-convective dialysis therapies offer greater removal capabilities than conventional dialysis. The aim of this study was to compare two different on-line, post-dilution hemodiafiltration (HDF) treatments with regard to achieved convective volume and middle-molecule dialysis...
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Published in: | International journal of artificial organs 2012-06, Vol.35 (6), p.435-443 |
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container_title | International journal of artificial organs |
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creator | Panichi, Vincenzo De Ferrari, Giacomo Saffioti, Stefano Sidoti, Antonino Biagioli, Marina Bianchi, Stefano Imperiali, Patrizio Gabbrielli, Claudio Conti, Paolo Patrone, Pietro Falqui, Valeria Rombolà, Giuseppe Mura, Carlo Icardi, Andrea Mulas, Donatella Rosati, Alberto Santori, Francesco Mannarino, Antonio Tomei, Valeria Bertucci, Andrea Steckiph, Denis Palla, Roberto |
description | Background:
Mixed diffusive-convective dialysis therapies offer greater removal capabilities than conventional dialysis. The aim of this study was to compare two different on-line, post-dilution hemodiafiltration (HDF) treatments with regard to achieved convective volume and middle-molecule dialysis efficiency: standard volume control (sOL-HDF) and automated control of the transmembrane pressure (TMP) (UC-HDF).
Methods:
We enrolled 30 ESRD patients (55.9 ± 14.0 years, 20/10 M/F) in a randomized, prospective, crossover study. The patients received a 3-month period of sOL-HDF followed by UC-HDF for a further 3 months, or vice versa, using the same dialysis machine. In sOL-HDF, fixed exchange volumes were set according to a filtration fraction greater than or equal to 25%. In UC-HDF therapy, the exchanged volume was driven by a biofeedback system controlling the TMP and its set point in a double loop. Patients maintained their treatment time, dialyzer, blood flow rate, and anticoagulant regimen unchanged throughout the study.
Results:
Greater convective volumes were achieved in UC-HDF than in sOL-HDF (23.8 ± 3.9 vs.19.8 ± 4.8 L; p |
doi_str_mv | 10.5301/ijao.5000106 |
format | article |
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Mixed diffusive-convective dialysis therapies offer greater removal capabilities than conventional dialysis. The aim of this study was to compare two different on-line, post-dilution hemodiafiltration (HDF) treatments with regard to achieved convective volume and middle-molecule dialysis efficiency: standard volume control (sOL-HDF) and automated control of the transmembrane pressure (TMP) (UC-HDF).
Methods:
We enrolled 30 ESRD patients (55.9 ± 14.0 years, 20/10 M/F) in a randomized, prospective, crossover study. The patients received a 3-month period of sOL-HDF followed by UC-HDF for a further 3 months, or vice versa, using the same dialysis machine. In sOL-HDF, fixed exchange volumes were set according to a filtration fraction greater than or equal to 25%. In UC-HDF therapy, the exchanged volume was driven by a biofeedback system controlling the TMP and its set point in a double loop. Patients maintained their treatment time, dialyzer, blood flow rate, and anticoagulant regimen unchanged throughout the study.
Results:
Greater convective volumes were achieved in UC-HDF than in sOL-HDF (23.8 ± 3.9 vs.19.8 ± 4.8 L; p<0.001) with high pre-dialysis Ht value (sOL-HDF 34.0 ± 4.5% and UC-HDF 34.0 ± 4.4%; p = 0.91). The average clearance values of β2m and P were higher in UC-HDF than in sOL-HDF (respectively 123 ± 24 vs. 111 ± 22 ml/min, p<0.002 and 158 ± 26 vs. 152 ± 25 ml/min, p<0.05). Moreover, the UC-HDF mode led to a significantly increased rate of call-free sessions from 88% to 97% (p<0.0001).
Conclusions:
This study showed that the biofeedback module, applied to the automatic control of TMP in on-line HDF, results in higher convective volumes and correspondingly higher β2m and P clearances. By making the HDF treatment more automated and less complex to perform, it significantly reduced the staff workload.</description><identifier>ISSN: 0391-3988</identifier><identifier>EISSN: 1724-6040</identifier><identifier>DOI: 10.5301/ijao.5000106</identifier><identifier>PMID: 22669588</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adult ; Aged ; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Anticoagulants - therapeutic use ; Automation ; beta 2-Microglobulin - blood ; Biological and medical sciences ; Biomarkers - blood ; Cross-Over Studies ; Emergency and intensive care: renal failure. Dialysis management ; Equipment Design ; Feedback ; Female ; Hemodiafiltration - instrumentation ; Hemodiafiltration - methods ; Hemodiafiltration - nursing ; Humans ; Intensive care medicine ; Italy ; Kidney Failure, Chronic - blood ; Kidney Failure, Chronic - nursing ; Kidney Failure, Chronic - therapy ; Male ; Medical sciences ; Membranes, Artificial ; Middle Aged ; Phosphates - blood ; Pressure ; Prospective Studies ; Time Factors ; Treatment Outcome ; Workload</subject><ispartof>International journal of artificial organs, 2012-06, Vol.35 (6), p.435-443</ispartof><rights>2012 SAGE Publications</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-c64b4f54ca1ff08a626a765e91e95c1430a66b36537e7a7b1b1f298950f8c6113</citedby><cites>FETCH-LOGICAL-c388t-c64b4f54ca1ff08a626a765e91e95c1430a66b36537e7a7b1b1f298950f8c6113</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904,79110</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26121752$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22669588$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Panichi, Vincenzo</creatorcontrib><creatorcontrib>De Ferrari, Giacomo</creatorcontrib><creatorcontrib>Saffioti, Stefano</creatorcontrib><creatorcontrib>Sidoti, Antonino</creatorcontrib><creatorcontrib>Biagioli, Marina</creatorcontrib><creatorcontrib>Bianchi, Stefano</creatorcontrib><creatorcontrib>Imperiali, Patrizio</creatorcontrib><creatorcontrib>Gabbrielli, Claudio</creatorcontrib><creatorcontrib>Conti, Paolo</creatorcontrib><creatorcontrib>Patrone, Pietro</creatorcontrib><creatorcontrib>Falqui, Valeria</creatorcontrib><creatorcontrib>Rombolà, Giuseppe</creatorcontrib><creatorcontrib>Mura, Carlo</creatorcontrib><creatorcontrib>Icardi, Andrea</creatorcontrib><creatorcontrib>Mulas, Donatella</creatorcontrib><creatorcontrib>Rosati, Alberto</creatorcontrib><creatorcontrib>Santori, Francesco</creatorcontrib><creatorcontrib>Mannarino, Antonio</creatorcontrib><creatorcontrib>Tomei, Valeria</creatorcontrib><creatorcontrib>Bertucci, Andrea</creatorcontrib><creatorcontrib>Steckiph, Denis</creatorcontrib><creatorcontrib>Palla, Roberto</creatorcontrib><title>Divert to ULTRA: Differences in Infused Volumes and Clearance in Two On-Line Hemodiafiltration Treatments</title><title>International journal of artificial organs</title><addtitle>Int J Artif Organs</addtitle><description>Background:
Mixed diffusive-convective dialysis therapies offer greater removal capabilities than conventional dialysis. The aim of this study was to compare two different on-line, post-dilution hemodiafiltration (HDF) treatments with regard to achieved convective volume and middle-molecule dialysis efficiency: standard volume control (sOL-HDF) and automated control of the transmembrane pressure (TMP) (UC-HDF).
Methods:
We enrolled 30 ESRD patients (55.9 ± 14.0 years, 20/10 M/F) in a randomized, prospective, crossover study. The patients received a 3-month period of sOL-HDF followed by UC-HDF for a further 3 months, or vice versa, using the same dialysis machine. In sOL-HDF, fixed exchange volumes were set according to a filtration fraction greater than or equal to 25%. In UC-HDF therapy, the exchanged volume was driven by a biofeedback system controlling the TMP and its set point in a double loop. Patients maintained their treatment time, dialyzer, blood flow rate, and anticoagulant regimen unchanged throughout the study.
Results:
Greater convective volumes were achieved in UC-HDF than in sOL-HDF (23.8 ± 3.9 vs.19.8 ± 4.8 L; p<0.001) with high pre-dialysis Ht value (sOL-HDF 34.0 ± 4.5% and UC-HDF 34.0 ± 4.4%; p = 0.91). The average clearance values of β2m and P were higher in UC-HDF than in sOL-HDF (respectively 123 ± 24 vs. 111 ± 22 ml/min, p<0.002 and 158 ± 26 vs. 152 ± 25 ml/min, p<0.05). Moreover, the UC-HDF mode led to a significantly increased rate of call-free sessions from 88% to 97% (p<0.0001).
Conclusions:
This study showed that the biofeedback module, applied to the automatic control of TMP in on-line HDF, results in higher convective volumes and correspondingly higher β2m and P clearances. By making the HDF treatment more automated and less complex to perform, it significantly reduced the staff workload.</description><subject>Adult</subject><subject>Aged</subject><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Anticoagulants - therapeutic use</subject><subject>Automation</subject><subject>beta 2-Microglobulin - blood</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - blood</subject><subject>Cross-Over Studies</subject><subject>Emergency and intensive care: renal failure. Dialysis management</subject><subject>Equipment Design</subject><subject>Feedback</subject><subject>Female</subject><subject>Hemodiafiltration - instrumentation</subject><subject>Hemodiafiltration - methods</subject><subject>Hemodiafiltration - nursing</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Italy</subject><subject>Kidney Failure, Chronic - blood</subject><subject>Kidney Failure, Chronic - nursing</subject><subject>Kidney Failure, Chronic - therapy</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Membranes, Artificial</subject><subject>Middle Aged</subject><subject>Phosphates - blood</subject><subject>Pressure</subject><subject>Prospective Studies</subject><subject>Time Factors</subject><subject>Treatment Outcome</subject><subject>Workload</subject><issn>0391-3988</issn><issn>1724-6040</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqF0c1rFDEYBvAgFrtWb54lF0HBafM9SW9lq7awUChbr0Mm-0ayzCQ1mVH8782wq16EngLJ730Dz4PQG0rOJSf0IuxtOpeEEErUM7SiLRONIoI8RyvCDW240foUvSxlX4kSQr5Ap4wpZaTWKxSuww_IE54Sfths768u8XXwHjJEBwWHiG-jnwvs8Nc0zGO9snGH1wPYbKtYwPZnwnex2YQI-AbGtAvWh2HKdgqpvmaw0whxKq_QibdDgdfH8ww9fP60Xd80m7svt-urTeO41lPjlOiFl8JZ6j3RVjFlWyXBUDDSUcGJVarnSvIWWtv2tKeeGW0k8dopSvkZen_Y-5jT9xnK1I2hOBgGGyHNpaNM6TptmHiaEs6p1EYsWz8eqMuplAy-e8xhtPlXRd3SQ7f00B17qPztcfPcj7D7i_8EX8G7I7DF2cEvcYbyzynKaCtZdR8Orthv0O3TnGMN7_-f_gbRTpwS</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Panichi, Vincenzo</creator><creator>De Ferrari, Giacomo</creator><creator>Saffioti, Stefano</creator><creator>Sidoti, Antonino</creator><creator>Biagioli, Marina</creator><creator>Bianchi, Stefano</creator><creator>Imperiali, Patrizio</creator><creator>Gabbrielli, Claudio</creator><creator>Conti, Paolo</creator><creator>Patrone, Pietro</creator><creator>Falqui, Valeria</creator><creator>Rombolà, Giuseppe</creator><creator>Mura, Carlo</creator><creator>Icardi, Andrea</creator><creator>Mulas, Donatella</creator><creator>Rosati, Alberto</creator><creator>Santori, Francesco</creator><creator>Mannarino, Antonio</creator><creator>Tomei, Valeria</creator><creator>Bertucci, Andrea</creator><creator>Steckiph, Denis</creator><creator>Palla, Roberto</creator><general>SAGE Publications</general><general>Wichtig</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20120601</creationdate><title>Divert to ULTRA: Differences in Infused Volumes and Clearance in Two On-Line Hemodiafiltration Treatments</title><author>Panichi, Vincenzo ; De Ferrari, Giacomo ; Saffioti, Stefano ; Sidoti, Antonino ; Biagioli, Marina ; Bianchi, Stefano ; Imperiali, Patrizio ; Gabbrielli, Claudio ; Conti, Paolo ; Patrone, Pietro ; Falqui, Valeria ; Rombolà, Giuseppe ; Mura, Carlo ; Icardi, Andrea ; Mulas, Donatella ; Rosati, Alberto ; Santori, Francesco ; Mannarino, Antonio ; Tomei, Valeria ; Bertucci, Andrea ; Steckiph, Denis ; Palla, Roberto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-c64b4f54ca1ff08a626a765e91e95c1430a66b36537e7a7b1b1f298950f8c6113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Anticoagulants - therapeutic use</topic><topic>Automation</topic><topic>beta 2-Microglobulin - blood</topic><topic>Biological and medical sciences</topic><topic>Biomarkers - blood</topic><topic>Cross-Over Studies</topic><topic>Emergency and intensive care: renal failure. Dialysis management</topic><topic>Equipment Design</topic><topic>Feedback</topic><topic>Female</topic><topic>Hemodiafiltration - instrumentation</topic><topic>Hemodiafiltration - methods</topic><topic>Hemodiafiltration - nursing</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Italy</topic><topic>Kidney Failure, Chronic - blood</topic><topic>Kidney Failure, Chronic - nursing</topic><topic>Kidney Failure, Chronic - therapy</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Membranes, Artificial</topic><topic>Middle Aged</topic><topic>Phosphates - blood</topic><topic>Pressure</topic><topic>Prospective Studies</topic><topic>Time Factors</topic><topic>Treatment Outcome</topic><topic>Workload</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Panichi, Vincenzo</creatorcontrib><creatorcontrib>De Ferrari, Giacomo</creatorcontrib><creatorcontrib>Saffioti, Stefano</creatorcontrib><creatorcontrib>Sidoti, Antonino</creatorcontrib><creatorcontrib>Biagioli, Marina</creatorcontrib><creatorcontrib>Bianchi, Stefano</creatorcontrib><creatorcontrib>Imperiali, Patrizio</creatorcontrib><creatorcontrib>Gabbrielli, Claudio</creatorcontrib><creatorcontrib>Conti, Paolo</creatorcontrib><creatorcontrib>Patrone, Pietro</creatorcontrib><creatorcontrib>Falqui, Valeria</creatorcontrib><creatorcontrib>Rombolà, Giuseppe</creatorcontrib><creatorcontrib>Mura, Carlo</creatorcontrib><creatorcontrib>Icardi, Andrea</creatorcontrib><creatorcontrib>Mulas, Donatella</creatorcontrib><creatorcontrib>Rosati, Alberto</creatorcontrib><creatorcontrib>Santori, Francesco</creatorcontrib><creatorcontrib>Mannarino, Antonio</creatorcontrib><creatorcontrib>Tomei, Valeria</creatorcontrib><creatorcontrib>Bertucci, Andrea</creatorcontrib><creatorcontrib>Steckiph, Denis</creatorcontrib><creatorcontrib>Palla, Roberto</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>International journal of artificial organs</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Panichi, Vincenzo</au><au>De Ferrari, Giacomo</au><au>Saffioti, Stefano</au><au>Sidoti, Antonino</au><au>Biagioli, Marina</au><au>Bianchi, Stefano</au><au>Imperiali, Patrizio</au><au>Gabbrielli, Claudio</au><au>Conti, Paolo</au><au>Patrone, Pietro</au><au>Falqui, Valeria</au><au>Rombolà, Giuseppe</au><au>Mura, Carlo</au><au>Icardi, Andrea</au><au>Mulas, Donatella</au><au>Rosati, Alberto</au><au>Santori, Francesco</au><au>Mannarino, Antonio</au><au>Tomei, Valeria</au><au>Bertucci, Andrea</au><au>Steckiph, Denis</au><au>Palla, Roberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Divert to ULTRA: Differences in Infused Volumes and Clearance in Two On-Line Hemodiafiltration Treatments</atitle><jtitle>International journal of artificial organs</jtitle><addtitle>Int J Artif Organs</addtitle><date>2012-06-01</date><risdate>2012</risdate><volume>35</volume><issue>6</issue><spage>435</spage><epage>443</epage><pages>435-443</pages><issn>0391-3988</issn><eissn>1724-6040</eissn><abstract>Background:
Mixed diffusive-convective dialysis therapies offer greater removal capabilities than conventional dialysis. The aim of this study was to compare two different on-line, post-dilution hemodiafiltration (HDF) treatments with regard to achieved convective volume and middle-molecule dialysis efficiency: standard volume control (sOL-HDF) and automated control of the transmembrane pressure (TMP) (UC-HDF).
Methods:
We enrolled 30 ESRD patients (55.9 ± 14.0 years, 20/10 M/F) in a randomized, prospective, crossover study. The patients received a 3-month period of sOL-HDF followed by UC-HDF for a further 3 months, or vice versa, using the same dialysis machine. In sOL-HDF, fixed exchange volumes were set according to a filtration fraction greater than or equal to 25%. In UC-HDF therapy, the exchanged volume was driven by a biofeedback system controlling the TMP and its set point in a double loop. Patients maintained their treatment time, dialyzer, blood flow rate, and anticoagulant regimen unchanged throughout the study.
Results:
Greater convective volumes were achieved in UC-HDF than in sOL-HDF (23.8 ± 3.9 vs.19.8 ± 4.8 L; p<0.001) with high pre-dialysis Ht value (sOL-HDF 34.0 ± 4.5% and UC-HDF 34.0 ± 4.4%; p = 0.91). The average clearance values of β2m and P were higher in UC-HDF than in sOL-HDF (respectively 123 ± 24 vs. 111 ± 22 ml/min, p<0.002 and 158 ± 26 vs. 152 ± 25 ml/min, p<0.05). Moreover, the UC-HDF mode led to a significantly increased rate of call-free sessions from 88% to 97% (p<0.0001).
Conclusions:
This study showed that the biofeedback module, applied to the automatic control of TMP in on-line HDF, results in higher convective volumes and correspondingly higher β2m and P clearances. By making the HDF treatment more automated and less complex to perform, it significantly reduced the staff workload.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>22669588</pmid><doi>10.5301/ijao.5000106</doi><tpages>9</tpages></addata></record> |
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subjects | Adult Aged Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy Anticoagulants - therapeutic use Automation beta 2-Microglobulin - blood Biological and medical sciences Biomarkers - blood Cross-Over Studies Emergency and intensive care: renal failure. Dialysis management Equipment Design Feedback Female Hemodiafiltration - instrumentation Hemodiafiltration - methods Hemodiafiltration - nursing Humans Intensive care medicine Italy Kidney Failure, Chronic - blood Kidney Failure, Chronic - nursing Kidney Failure, Chronic - therapy Male Medical sciences Membranes, Artificial Middle Aged Phosphates - blood Pressure Prospective Studies Time Factors Treatment Outcome Workload |
title | Divert to ULTRA: Differences in Infused Volumes and Clearance in Two On-Line Hemodiafiltration Treatments |
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