Literature DB >> 30624712

An analysis of the impact of fluid overload and fluid depletion for all-cause and cardiovascular mortality.

Dimitrie Siriopol1, Mihaela Siriopol1, Stefano Stuard2, Luminita Voroneanu1, Peter Wabel3, Ulrich Moissl3, Daniela Voiculescu4, Adrian Covic1.   

Abstract

BACKGROUND: Both baseline fluid overload (FO) and fluid depletion are associated with increased mortality risk and cardiovascular complications in haemodialysis patients. Fluid status may vary substantially over time, and this variability could also be associated with poor outcomes.
METHODS: In our retrospective cohort study, including 4114 haemodialysis patients from 34 Romanian dialysis units, we investigated both all-cause and cardiovascular mortality risk according to baseline pre- and post-dialysis volume status, changes in pre- and post-dialysis fluid status during follow-up (time-varying survival analysis), pre-post changes in volume status during dialysis and pre-dialysis fluid status variability during the first 6 months of evaluation.
RESULTS: According to their pre-dialysis fluid status, patients were stratified in the following groups: normovolaemic with an absolute FO (AFO) compartment between -1.1 and 1.1 L, fluid depletion with an AFO below -1.1 L, moderate FO with an AFO compartment >1.1 but <2.5 L and severe FO with the AFO compartment >2.5 L. Baseline pre-dialysis FO and fluid depletion patients had a significantly elevated risk of all-cause mortality risk {hazard ratio [HR] 1.53 [95% confidence interval (CI) 1.22-1.93], HR 2.04 (95% CI 1.59-2.60) and HR 1.88 (95% CI 1.07-3.39) for moderate FO, severe FO and fluid depletion, respectively}. In contrast, post-dialysis fluid depletion was associated with better survival [HR 0.71 (95% CI 0.57-0.89)]. Similar results were found when using changes in pre- or post-dialysis fluid status during follow-up (time-varying values): FO patients had an increased risk of all-cause [moderate FO: HR 1.39 (95% CI 1.11-1.75); severe FO: HR 2.29 (95% CI 2.01-3.31] and cardiovascular (CV) mortality [moderate FO: HR 1.34 (95% CI 1.05-1.70); severe FO: HR 2.34 (95% CI 1.67-3.28)] as compared with normohydrated patients. Using pre-post changes in volume status during dialysis, we categorized the patients into six groups: Group 1, AFO <-1.1 L pre- and post-dialysis; Group 2, AFO between -1.1 and 1.1 L pre-dialysis and <-1.1 L post-dialysis (the reference group); Group 3, AFO between -1.1 and 1.1 L pre- and post-dialysis; Group 4, AFO >1.1 L pre-dialysis and <-1.1 L post-dialysis; Group 5, AFO >1.1 L pre-dialysis and between -1.1 and 1.1 L post-dialysis; Group 6, AFO >1.1 L pre- and post-dialysis. Using the baseline values, only patients in Groups 1, 5 and 6 maintained an increased risk for all-cause mortality as compared with the reference group. Additionally, CV mortality risk was significantly higher for patients in Groups 5 and 6. When we applied the time-varying analysis, patients in Groups 1, 5 and 6 had a significantly higher risk for both all-cause and CV mortality risk. In the last approach, the highest risk for the all-cause mortality outcome was observed for patients with high-amplitude fluctuation during the first 6 months of evaluation [HR 2.75 (95% CI 1.29-5.84)].
CONCLUSION: We reconfirm the association between baseline pre- and post-dialysis volume status and mortality in dialysis patients; additionally, we showed that greater fluid status variability is independently associated with higher mortality.
© The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Entities:  

Keywords:  cardiovascular; haemodialysis; myocardial infarction; prognosis; survival analysis

Mesh:

Substances:

Year:  2019        PMID: 30624712     DOI: 10.1093/ndt/gfy396

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


  6 in total

Review 1.  Using Bioimpedance Spectroscopy to Assess Volume Status in Dialysis Patients.

Authors:  Frank M van der Sande; Esther R van de Wal-Visscher; Stefano Stuard; Ulrich Moissl; Jeroen P Kooman
Journal:  Blood Purif       Date:  2019-12-18       Impact factor: 2.614

2.  Application of survival classification and regression tree analysis for identification of subgroups of risk in patients with heart failure and reduced left ventricular ejection fraction.

Authors:  Dimitrie Siriopol; Raluca Popa; Mihaela Mihaila; Florentina Rusu; Radu Sascau; Cristian Statescu; Zahariuc Cătălina; Vlad Vasiliu; Andreea Bucur; Andreea Neamtu; Ianis Siriopol; Petru Cianga; Mehmet Kanbay; Adrian Covic
Journal:  Int J Cardiovasc Imaging       Date:  2021-01-16       Impact factor: 2.357

3.  Sodium, volume and pressure control in haemodialysis patients for improved cardiovascular outcomes.

Authors:  Jule Pinter; Charles Chazot; Stefano Stuard; Ulrich Moissl; Bernard Canaud
Journal:  Nephrol Dial Transplant       Date:  2020-03-01       Impact factor: 5.992

4.  Protocol of a pilot-scale, single-arm, observational study to assess the utility and acceptability of a wearable hydration monitor in haemodialysis patients.

Authors:  Vicki Sandys; Colin Edwards; Paul McAleese; Emer O'Hare; Conall O'Seaghdha
Journal:  Pilot Feasibility Stud       Date:  2022-01-24

5.  The predictive value of bioimpedance-derived fluid parameters for cardiovascular events in patients undergoing hemodialysis.

Authors:  Linghong Cheng; Liyang Chang; Rongrong Tian; Jianfang Zhou; Fenxia Luo; Hongmei Zhang
Journal:  Ren Fail       Date:  2022-12       Impact factor: 3.222

6.  Fluid overload after coronary artery bypass graft in patients on maintenance hemodialysis is associated with prolonged time on mechanical ventilation.

Authors:  Sirlei Cristina da Silva; Fernanda Marciano Consolim-Colombo; Renata Gomes Rodrigues; Fábio Antonio Gaiotto; Ludhmila Abrahão Hajjar; Rosa Maria Affonso Moysés; Rosilene Motta Elias
Journal:  BMC Anesthesiol       Date:  2020-03-07       Impact factor: 2.217

  6 in total

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