Literature DB >> 27064437

Novel Approach to Cardiovascular Outcome Prediction in Haemodialysis Patients.

Diana Chiu1, Nik Abidin, Laura Johnstone, Michelle Chong, Vaidehi Kataria, Janet Sewell, Smeeta Sinha, Philip A Kalra, Darren Green.   

Abstract

BACKGROUND: Cardiovascular mortality is high in haemodialysis (HD) patients. Arterial stiffness and global longitudinal strain (GLS) are important non-atheromatous cardiovascular risk predictors. No study has encompassed both parameters in a combined model for prediction of outcomes in HD patients. This is important because left ventricular (LV) dysfunction can result from fibrotic remodelling secondary to increased arterial stiffness.
METHODS: Two hundred and nineteen HD patients had pulse wave velocity (PWV) and echocardiography (including GLS) assessments. Patients were followed-up until death, transplantation or November 16, 2015, whichever happened first. Pearson's correlation coefficient was used to determine factors associated with PWV and GLS. A multivariable Cox regression model investigated factors associated with all-cause, cardiac death and events.
RESULTS: One hundred and ninety eight HD patients had full datasets (median age 64.2, 68.7% males) with a mean LV ejection fraction (LVEF) of 61.7 ± 10.1% and GLS -13.5 ± 3.3%; 51% had LV hypertrophy. Forty eight deaths (15 cardiac) and 44 major cardiac events occurred during a median follow-up of 27.6 (25th-75th percentile, 17.3-32.7) months. In separate survival models, PWV and GLS were independently associated with all-cause mortality; however, in a combined model, LV mass indexed to height2.7 (LVMI/HT2.7; adjusted hazard ratio (HR) 1.02, 95% CI 1.00-1.04) and PWV (adjusted HR 1.23, 95% CI 1.03-1.47) were significant. PWV was neither associated with cardiac death nor associated with related cardiac events. However, GLS was associated with cardiac death (adjusted HR 1.24, 95% CI 1.00-1.54) and cardiac events (adjusted HR 1.13, 95% CI 1.03-1.25).
CONCLUSIONS: PWV and LVMI/HT2.7 were superior to GLS in prediction of all-cause mortality. However, GLS was associated with cardiac death and events even when accounting for LVEF and LVMI/HT2.7.
© 2016 S. Karger AG, Basel.

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Year:  2016        PMID: 27064437     DOI: 10.1159/000444924

Source DB:  PubMed          Journal:  Am J Nephrol        ISSN: 0250-8095            Impact factor:   3.754


  5 in total

1.  Speckle tracking determination of mitral tissue annular displacement: comparison with strain and ejection fraction, and association with outcomes in haemodialysis patients.

Authors:  Diana Y Y Chiu; Nik Abidin; John Hughes; Smeeta Sinha; Philip A Kalra; Darren Green
Journal:  Int J Cardiovasc Imaging       Date:  2016-07-27       Impact factor: 2.357

2.  Circulating proteins as predictors of cardiovascular mortality in end-stage renal disease.

Authors:  Tobias Feldreich; Christoph Nowak; Tove Fall; Axel C Carlsson; Juan-Jesus Carrero; Jonas Ripsweden; Abdul Rashid Qureshi; Olof Heimbürger; Peter Barany; Peter Stenvinkel; Nicolas Vuilleumier; Philip A Kalra; Darren Green; Johan Ärnlöv
Journal:  J Nephrol       Date:  2018-11-29       Impact factor: 3.902

3.  QRS-T Angle Predicts Cardiac Risk and Correlates With Global Longitudinal Strain in Prevalent Hemodialysis Patients.

Authors:  Sofia Skampardoni; Darren Green; Katerina Hnatkova; Marek Malik; Philip A Kalra; Dimitrios Poulikakos
Journal:  Front Physiol       Date:  2019-02-25       Impact factor: 4.566

4.  Association of non-invasive measures of subclinical atherosclerosis and arterial stiffness with mortality and major cardiovascular events in chronic kidney disease: systematic review and meta-analysis of cohort studies.

Authors:  Panayiotis Kouis; Andreas Kousios; Athina Kanari; Daphne Kleopa; Stephania I Papatheodorou; Andrie G Panayiotou
Journal:  Clin Kidney J       Date:  2019-08-28

5.  Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease.

Authors:  Janna Terhuerne; Merel van Diepen; Rafael Kramann; Johanna Erpenbeck; Friedo Dekker; Nikolaus Marx; Jürgen Floege; Michael Becker; Georg Schlieper
Journal:  Clin Kidney J       Date:  2021-01-19
  5 in total

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