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Arterial stiffness in kidney transplantation: a single center case-control study comparing belatacept versus calcineurin inhibitor immunosuppressive based regimen.

Overview of attention for article published in Nefrología, January 2015
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Title
Arterial stiffness in kidney transplantation: a single center case-control study comparing belatacept versus calcineurin inhibitor immunosuppressive based regimen.
Published in
Nefrología, January 2015
DOI 10.3265/nefrologia.pre2014.sep.12615
Pubmed ID
Authors

Edoardo Melilli, Oriol Bestard-Matamoros, Anna Manonelles-Montero, Neus Sala-Bassa, Richard Mast, Josep M Grinyó-Boira, Josep M Cruzado

Abstract

Arterial stiffness is nowadays a well-accepted predictor of cardiovascular mortality in general population; as well as in kidney transplant recipient population. The femoral-carotid pulse wave velocity (cf-PWV) is the widest used method to assess the arterial stiffness. The aim of this study was to test whether CNI-free immunosuppression based on belatacept was associated with lower cf-PWV, as a surrogate marker of arterial stiffness, than CNI. This was a retrospective case-control study. We included all the cases treated with belatacept as a maintenance immunosuppression in our center (n=20). An appropriate control group of patients (n=20) treated with CNI was selected to achieve match for key factors associated with arterial stiffness. After a follow-up of 5 years after transplantation, the Belatacept group had a reduced prevalence of patients with a cf-PWV higher than 8.1m/s (50% in BLC vs. 25% in CNI, p=0.08). At multivariate logistic regression analysis, the risk of high cf-PWV was correlated with age (OR 1.24; p<0.03) and renal resistive index (OR 1.25; p<0.05). Belatacept treatment was associated with a significant reduction in risk of cf-PWV (OR 0.008; P=0.045). Belatacept-based maintenance immunosuppression could improve kidney transplant recipient’s survival by reducing cardiovascular events related to stiffness.

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Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Bachelor 3 17%
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Postgraduate 2 11%
Other 2 11%
Unknown 3 17%
Readers by discipline Count As %
Medicine and Dentistry 10 56%
Social Sciences 2 11%
Immunology and Microbiology 1 6%
Nursing and Health Professions 1 6%
Psychology 1 6%
Other 0 0%
Unknown 3 17%