Literature DB >> 23828163

Predicting mortality in haemodialysis patients: a comparison between lung ultrasonography, bioimpedance data and echocardiography parameters.

Dimitrie Siriopol1, Simona Hogas, Luminita Voroneanu, Mihai Onofriescu, Mugurel Apetrii, Mihaela Oleniuc, Mihaela Moscalu, Radu Sascau, Adrian Covic.   

Abstract

BACKGROUND: The use of lung ultrasonography to evaluate extravascular lung water and its consequences has received growing attention in different clinical areas, including, in recent years, end-stage renal disease patients treated by haemodialysis (HD). Lung congestion is a direct consequence of either overall overhydration and/or cardiac dysfunction, but the exact contribution of each of these tests to mortality is unknown.
METHODS: In this prospective observational study, we enrolled 96 patients from a single HD unit undergoing thrice weekly HD. We used three different methods of evaluation: lung ultrasonography (pre- and post-dialysis), bioimpedance spectroscopy (pre- and post-dialysis) and echocardiography (pre-dialysis). The objective of the study was to test for the first time the prognostic value of ultrasound lung comets (ULC) combined with bioimpedance-derived data [total body water (TBW), extravascular water, hydration status-ΔHS] and several echocardiographic parameters. Mortality was analysed after a median of 405.5-day follow-up.
RESULTS: Pre-dialysis lung congestion was classified as moderate (ULC = 16-30) in 19.8% of the patients and severe in 12.5% of patients (ULC > 30), while only 19.8% appear to be hyperhydrated (ΔHS > 15%). The pre-dialysis ultrasound lung congestion score correlated significantly with all of the bioimpedance-derived parameters. In a multivariate Cox model that included ULC score, demographic, ecocardiographic and bioimpedance parameters, the factors that remained significantly associated with survival time were the pre-dialysis ULC score and left ventricular mass index. The pre-HD ULC score has a significant discriminating power for survival, while the bioimpedance-derived hydration status has no discriminatory abilities in terms of survival.
CONCLUSIONS: To our knowledge, this study is the first one that compares three different strategies to predict mortality in haemodialysed patients. The lung comet score emerged as the best predictor for the relationship hydration status-mortality, independently of bioimpedance-derived parameters in this population.

Entities:  

Keywords:  bioimpedance; haemodialysis; hydration status; mortality; ultrasound lung comets

Mesh:

Year:  2013        PMID: 23828163     DOI: 10.1093/ndt/gft260

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  24 in total

1.  Bioimpedance analysis versus lung ultrasonography for optimal risk prediction in hemodialysis patients.

Authors:  Dimitrie Siriopol; Luminita Voroneanu; Simona Hogas; Mugurel Apetrii; Angelica Gramaticu; Raluca Dumea; Alexandru Burlacu; Radu Sascau; Mehmet Kanbay; Adrian Covic
Journal:  Int J Cardiovasc Imaging       Date:  2015-10-01       Impact factor: 2.357

Review 2.  Point-of-care ultrasound education to improve care of dialysis patients.

Authors:  Surekha Mullangi; Stephen M Sozio; Paul Segal; Steven Menez; Carol Martire; Tariq Shafi
Journal:  Semin Dial       Date:  2018-01-03       Impact factor: 3.455

Review 3.  Hypertension in Pediatric Dialysis Patients: Etiology, Evaluation, and Management.

Authors:  Raj Munshi; Joseph T Flynn
Journal:  Curr Hypertens Rep       Date:  2018-06-08       Impact factor: 5.369

4.  Dry weight assessment by combined ultrasound and bioimpedance monitoring in low cardiovascular risk hemodialysis patients: a randomized controlled trial.

Authors:  Dimitrie Siriopol; Mihai Onofriescu; Luminita Voroneanu; Mugurel Apetrii; Ionut Nistor; Simona Hogas; Mehmet Kanbay; Radu Sascau; Dragos Scripcariu; Adrian Covic
Journal:  Int Urol Nephrol       Date:  2016-12-07       Impact factor: 2.370

5.  Crackles and Comets: Lung Ultrasound to Detect Pulmonary Congestion in Patients on Dialysis is Coming of Age.

Authors:  Richard A Sherman
Journal:  Clin J Am Soc Nephrol       Date:  2016-09-22       Impact factor: 8.237

6.  Comparison of multiple fluid status assessment methods in patients on chronic hemodialysis.

Authors:  Giannis Alexiadis; Stelios Panagoutsos; Stefanos Roumeliotis; Ilias Stibiris; Angelos Markos; Konstantia Kantartzi; Ploumis Passadakis
Journal:  Int Urol Nephrol       Date:  2016-12-10       Impact factor: 2.370

7.  Usefulness of ultrasound imaging in overhydrated nephropathic patients.

Authors:  F Simoni; N Vitturi; M Dugo
Journal:  J Ultrasound       Date:  2016-06-11

8.  Fluid assessment in dialysis patients by point-of-care magnetic relaxometry.

Authors:  Lina A Colucci; Kristin M Corapi; Matthew Li; Xavier Vela Parada; Andrew S Allegretti; Herbert Y Lin; Dennis A Ausiello; Matthew S Rosen; Michael J Cima
Journal:  Sci Transl Med       Date:  2019-07-24       Impact factor: 17.956

9.  Line Detection as an Inverse Problem: Application to Lung Ultrasound Imaging.

Authors:  Nantheera Anantrasirichai; Wesley Hayes; Marco Allinovi; David Bull; Alin Achim
Journal:  IEEE Trans Med Imaging       Date:  2017-06-29       Impact factor: 10.048

10.  The Agreement between Auscultation and Lung Ultrasound in Hemodialysis Patients: The LUST Study.

Authors:  Claudia Torino; Luna Gargani; Rosa Sicari; Krzysztof Letachowicz; Robert Ekart; Danilo Fliser; Adrian Covic; Kostas Siamopoulos; Aristeidis Stavroulopoulos; Ziad A Massy; Enrico Fiaccadori; Alberto Caiazza; Thomas Bachelet; Itzchak Slotki; Alberto Martinez-Castelao; Marie-Jeanne Coudert-Krier; Patrick Rossignol; Faikah Gueler; Thierry Hannedouche; Vincenzo Panichi; Andrzej Wiecek; Giuseppe Pontoriero; Pantelis Sarafidis; Marian Klinger; Radovan Hojs; Sarah Seiler-Mussler; Fabio Lizzi; Dimitrie Siriopol; Olga Balafa; Linda Shavit; Rocco Tripepi; Francesca Mallamaci; Giovanni Tripepi; Eugenio Picano; Gérard Michel London; Carmine Zoccali
Journal:  Clin J Am Soc Nephrol       Date:  2016-09-22       Impact factor: 8.237

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