Cardiovascular and Patient Phenotype of Extended Haemodialysis: A Critical Analysis of Studying a Unique Patient Population

Nicos Mitsides; T. Cornelis; Natascha J.H. Broers; Paul Brenchley; Frank M. Van Der Sande; Casper G. Schalkwijk; Jeroen P. Kooman; Sandip Mitra

doi:10.1159/000485231

Cardiovascular and Patient Phenotype of Extended Haemodialysis: A Critical Analysis of Studying a Unique Patient Population

Nicos Mitsides, T. Cornelis, Natascha J.H. Broers, Paul Brenchley, Frank M. Van Der Sande, Casper G. Schalkwijk, Jeroen P. Kooman, Sandip Mitra

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Extended haemodialysis (EHD) has been associated with better outcomes compared to conventional (CHD) regimes. The cardiovascular (CV) profile of these patients has not been assessed in detail. Methods: We report baseline demographic and CV phenotype of 36 CHD and 36 EHD participants to a longitudinal multicentre study. We measured pulse wave velocity (PWV), 24-h ambulatory blood pressure, sublingual dark-field capillaroscopy and vascular biomarkers. Results: EHD patients were younger (p < 0.01), with less CV comorbidity (p = 0.04) and higher dialysis vintage (p < 0.01). Higher PWV in CHD (p = 0.02) was not independent of demographic differences in the 2 groups. Biomarker profiles were similar in EHD and CHD but abnormal compared to healthy controls. Conclusion: Although CV profiles in these 2 cohorts were similar, EHD patients were distinct from the CHD population in terms of age and dialysis vintage and appear to comprise a unique group. Direct comparison of outcomes in these groups is challenging due to clinical bias.

Original language	English
Article number	29455200
Journal	Blood Purification
Volume	45
Issue number	4
Early online date	16 Feb 2018
DOIs	https://doi.org/10.1159/000485231
Publication status	Published - 2018

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title = "Cardiovascular and Patient Phenotype of Extended Haemodialysis: A Critical Analysis of Studying a Unique Patient Population",

abstract = "Background: Extended haemodialysis (EHD) has been associated with better outcomes compared to conventional (CHD) regimes. The cardiovascular (CV) profile of these patients has not been assessed in detail. Methods: We report baseline demographic and CV phenotype of 36 CHD and 36 EHD participants to a longitudinal multicentre study. We measured pulse wave velocity (PWV), 24-h ambulatory blood pressure, sublingual dark-field capillaroscopy and vascular biomarkers. Results: EHD patients were younger (p < 0.01), with less CV comorbidity (p = 0.04) and higher dialysis vintage (p < 0.01). Higher PWV in CHD (p = 0.02) was not independent of demographic differences in the 2 groups. Biomarker profiles were similar in EHD and CHD but abnormal compared to healthy controls. Conclusion: Although CV profiles in these 2 cohorts were similar, EHD patients were distinct from the CHD population in terms of age and dialysis vintage and appear to comprise a unique group. Direct comparison of outcomes in these groups is challenging due to clinical bias.",

author = "Nicos Mitsides and T. Cornelis and Broers, {Natascha J.H.} and Paul Brenchley and {Van Der Sande}, {Frank M.} and Schalkwijk, {Casper G.} and Kooman, {Jeroen P.} and Sandip Mitra",

year = "2018",

doi = "10.1159/000485231",

language = "English",

volume = "45",

journal = "Blood Purification",

issn = "0253-5068",

publisher = "S. Karger AG",

number = "4",

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TY - JOUR

T1 - Cardiovascular and Patient Phenotype of Extended Haemodialysis: A Critical Analysis of Studying a Unique Patient Population

AU - Mitsides, Nicos

AU - Cornelis, T.

AU - Broers, Natascha J.H.

AU - Brenchley, Paul

AU - Van Der Sande, Frank M.

AU - Schalkwijk, Casper G.

AU - Kooman, Jeroen P.

AU - Mitra, Sandip

PY - 2018

Y1 - 2018

N2 - Background: Extended haemodialysis (EHD) has been associated with better outcomes compared to conventional (CHD) regimes. The cardiovascular (CV) profile of these patients has not been assessed in detail. Methods: We report baseline demographic and CV phenotype of 36 CHD and 36 EHD participants to a longitudinal multicentre study. We measured pulse wave velocity (PWV), 24-h ambulatory blood pressure, sublingual dark-field capillaroscopy and vascular biomarkers. Results: EHD patients were younger (p < 0.01), with less CV comorbidity (p = 0.04) and higher dialysis vintage (p < 0.01). Higher PWV in CHD (p = 0.02) was not independent of demographic differences in the 2 groups. Biomarker profiles were similar in EHD and CHD but abnormal compared to healthy controls. Conclusion: Although CV profiles in these 2 cohorts were similar, EHD patients were distinct from the CHD population in terms of age and dialysis vintage and appear to comprise a unique group. Direct comparison of outcomes in these groups is challenging due to clinical bias.

AB - Background: Extended haemodialysis (EHD) has been associated with better outcomes compared to conventional (CHD) regimes. The cardiovascular (CV) profile of these patients has not been assessed in detail. Methods: We report baseline demographic and CV phenotype of 36 CHD and 36 EHD participants to a longitudinal multicentre study. We measured pulse wave velocity (PWV), 24-h ambulatory blood pressure, sublingual dark-field capillaroscopy and vascular biomarkers. Results: EHD patients were younger (p < 0.01), with less CV comorbidity (p = 0.04) and higher dialysis vintage (p < 0.01). Higher PWV in CHD (p = 0.02) was not independent of demographic differences in the 2 groups. Biomarker profiles were similar in EHD and CHD but abnormal compared to healthy controls. Conclusion: Although CV profiles in these 2 cohorts were similar, EHD patients were distinct from the CHD population in terms of age and dialysis vintage and appear to comprise a unique group. Direct comparison of outcomes in these groups is challenging due to clinical bias.

U2 - 10.1159/000485231

DO - 10.1159/000485231

M3 - Article

SN - 0253-5068

VL - 45

JO - Blood Purification

JF - Blood Purification

IS - 4

M1 - 29455200

ER -

Cardiovascular and Patient Phenotype of Extended Haemodialysis: A Critical Analysis of Studying a Unique Patient Population

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