Literature DB >> 29712739

Pulse Wave Velocity and Prognosis in End-Stage Kidney Disease.

Giovanni Tripepi1, Mohsen Agharazii2, Bruno Pannier3, Graziella D'Arrigo1, Francesca Mallamaci1, Carmine Zoccali4, Gerard London5.   

Abstract

High pulse wave velocity (PWV) is a hallmark of end-stage kidney disease (ESKD) where it is considered useful for risk stratification. We investigated whether PWV adds meaningful prognostic information to 2 simple, well-validated, clinical risk scores specific to ESKD (the Annualized Rate of Occurrence scores) for predicting all-cause and cardiovascular mortality by applying state-of-the-art prognostic tests including discrimination (Harrell C-index), risk reclassification (integrated discrimination improvement), and calibration. We performed these analyses in the 2 largest ESKD cohorts with available PWV data, the Manhes-Hospital cohort in Paris (n=287 patients) and the Quebec Research Center cohort in Canada (n=246 patients). The Harrell C-index of the 2 clinical risk scores was consistently higher than that by PWV both for all-cause (Manhes cohort, 77.5% versus 73.7%; Quebec cohort, 61.5% versus 58.9%) and cardiovascular mortality (Manhes cohort, 77.9% versus 77.2%; Quebec cohort, 63.8% versus 60.3%). Furthermore, PWV provided a very modest increase in discriminatory power over and above clinical risk scores by Harrell C-index (from 0.5% to 1.8%) and in risk reclassification by Integrated Discrimination Improvement (from 0.9% to 5.1%) and actually worsened models calibration. In patients with ESKD, PWV has a prognostic power for all-cause and cardiovascular mortality inferior to that by simple clinical risk scores and only modestly improves the risk discrimination and reclassification by the same risk scores and worsens models calibration. Clinicians may better rely on available clinical risk scores rather than on PWV for risk stratification in the ESKD population.
© 2018 American Heart Association, Inc.

Entities:  

Keywords:  analysis; cardiovascular diseases; kidney failure, chronic; mortality; prognosis; pulse wave

Mesh:

Year:  2018        PMID: 29712739     DOI: 10.1161/HYPERTENSIONAHA.118.10930

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  8 in total

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Journal:  Can J Kidney Health Dis       Date:  2020-09-10

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Journal:  J Pers Med       Date:  2022-04-15

3.  Ankle-brachial index, arterial stiffness, and biomarkers in the prediction of mortality and outcomes in patients with end-stage kidney disease.

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Journal:  Clin Cardiol       Date:  2019-04-30       Impact factor: 2.882

4.  Predictive value of cardio-ankle vascular index for the risk of end-stage renal disease.

Authors:  Jin Seon Jeong; Jung Hee Kim; Dong Ki Kim; Kook-Hwan Oh; Kwon-Wook Joo; Yon Su Kim; Young Min Cho; Seung Seok Han
Journal:  Clin Kidney J       Date:  2020-07-28

5.  Disability of Dialysis Patients and the Condition of Blood Vessels.

Authors:  Tomasz Gołębiowski; Mariusz Kusztal; Andrzej Konieczny; Krzysztof Letachowicz; Ada Gawryś; Beata Skolimowska; Bożena Ostrowska; Sławomir Zmonarski; Dariusz Janczak; Magdalena Krajewska
Journal:  J Clin Med       Date:  2020-06-10       Impact factor: 4.241

6.  Combining Pulse Wave Velocity With Galectin-3 to Predict Mortality and Cerebrovascular and Cardiovascular Events in Hemodialysis Patients.

Authors:  Qi Zhang; Kanhua Yin; Mingli Zhu; Xinghui Lin; Yan Fang; Jiayue Lu; Zhenyuan Li; Zhaohui Ni
Journal:  Front Med (Lausanne)       Date:  2020-10-20

7.  Noninvasive markers of arterial stiffness and renal outcomes in patients with chronic kidney disease.

Authors:  Xinru Guo; Yisha Li; Ying Yang; Wenling Wang; Shuang Liang; Ying Zheng; Xiangmei Chen; Guangyan Cai
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-02-01       Impact factor: 3.738

8.  Potential determinants of the E/e' ratio in non-dialysis compared with dialysis patients.

Authors:  Hon-Chun Hsu; Gavin R Norton; Chanel Robinson; Angela J Woodiwiss; Patrick H Dessein
Journal:  Nephrology (Carlton)       Date:  2021-07-27       Impact factor: 2.358

  8 in total

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