Literature DB >> 30146272

Interactions Between Malnutrition, Inflammation, and Fluid Overload and Their Associations With Survival in Prevalent Hemodialysis Patients.

Marijke J E Dekker1, Constantijn Konings2, Bernard Canaud3, Frank M van der Sande4, Stefano Stuard3, Jochen G Raimann5, Elife Öztürk4, Len Usvyat6, Peter Kotanko7, Jeroen P Kooman4.   

Abstract

OBJECTIVE: Predialysis fluid overload (FO) in hemodialysis (HD) patients is associated with an increased risk of death, further increased by the presence of inflammation. Malnutrition is also associated with outcome. Study objectives were, firstly, to investigate if the presence of FO is associated with malnutrition and whether this association is influenced by the presence of inflammation. Second, we assessed the associations of FO, malnutrition, and inflammation with outcome individually and in combination.
DESIGN: International cohort study.
SETTING: European patients of the Monitoring Dialysis Outcome Initiative cohort where bioimpedance and C-reactive protein measurements are performed as standard of care.
SUBJECTS: 8883 prevalent HD patients. MAIN OUTCOME MEASURE: Body composition, nutritional and inflammation status were assessed during a 3-month baseline period, and all-cause mortality was noted during 1 year follow-up. Malnutrition was defined as a lean tissue index <10th percentile (of age and gender matched healthy controls), FO as a predialysis overhydration >+1.1 L and inflammation as a C-reactive protein > 6.0 mg/L. We used Cox models to investigate the association with outcome.
RESULTS: The presence of malnutrition was associated with higher levels of FO, this amount further increased when inflammation was present. Only 11.6% of the patients did not have any of the 3 risk factors and only 6.5% of the patients were only malnourished, which was not associated with an increased risk of death (Hazard Ratio [HR] 1.22 [95% Confidence Interval [CI]: 0.75-1.97]), whereas the combination of severe malnutrition, FO, and inflammation comprised the highest risk of death (HR 5.89 [95% CI: 2.28-8.01]).
CONCLUSION: In HD patients, predialysis FO associates with both malnutrition and the presence of inflammation, with the highest levels of FO observed when both are present. Malnutrition as singular risk factor was not associated with increased mortality risk. The highest mortality risk was observed in patients where all 3 risk factors were present.
Copyright © 2018 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 30146272     DOI: 10.1053/j.jrn.2018.06.005

Source DB:  PubMed          Journal:  J Ren Nutr        ISSN: 1051-2276            Impact factor:   3.655


  13 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.  Higher-order clinical risk factor interaction analysis for overall mortality in maintenance hemodialysis patients.

Authors:  Cheng-Hong Yang; Sin-Hua Moi; Li-Yeh Chuang; Jin-Bor Chen
Journal:  Ther Adv Chronic Dis       Date:  2020-09-29       Impact factor: 5.091

3.  Nutritional status and volume control in adolescents on chronic hemodialysis.

Authors:  Fabio Paglialonga; Silvia Consolo; Marta Brambilla; Olga Caporale; Alejandro Cruz Gual; Maria Rosa Grassi; Giovanni Montini
Journal:  Pediatr Nephrol       Date:  2021-05-14       Impact factor: 3.714

4.  Mid-arm circumference, body fat, nutritional and inflammatory biomarkers, blood glucose, dialysis adequacy influence all-cause mortality in hemodialysis patients: A prospective cohort study.

Authors:  Tuyen Van Duong; Pei-Yu Wu; Te-Chih Wong; Hsi-Hsien Chen; Tso-Hsiao Chen; Yung-Ho Hsu; Sheng-Jeng Peng; Ko-Lin Kuo; Hsiang-Chung Liu; En-Tzu Lin; Yi-Wei Feng; Shwu-Huey Yang
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.889

5.  Assessment of nutritional status in the maintenance of haemodialysis patients: a cross-sectional study from Palestine.

Authors:  Ali M Omari; Leen S Omari; Hazar H Dagash; Waleed M Sweileh; Nehal Natour; Sa'ed H Zyoud
Journal:  BMC Nephrol       Date:  2019-03-15       Impact factor: 2.388

6.  Influence of dry weight reduction on anemia in patients undergoing hemodialysis.

Authors:  Yinghui Deng; Hua Liu; Na Lin; Lina Ma; Wenjing Fu
Journal:  J Int Med Res       Date:  2019-09-17       Impact factor: 1.671

Review 7.  Three compartment bioimpedance spectroscopy in the nutritional assessment and the outcome of patients with advanced or end stage kidney disease: What have we learned so far?

Authors:  Natascha J H Broers; Bernard Canaud; Marijke J E Dekker; Frank M van der Sande; Stefano Stuard; Peter Wabel; Jeroen P Kooman
Journal:  Hemodial Int       Date:  2020-01-22       Impact factor: 1.812

8.  Significance of serum Myostatin in hemodialysis patients.

Authors:  Pasquale Esposito; Yuri Battaglia; Edoardo La Porta; Maria Antonietta Grignano; Elena Caramella; Alessando Avella; Sabrina Peressini; Nicodemo Sessa; Riccardo Albertini; Giuseppe Di Natali; Claudio Lisi; Marilena Gregorini; Teresa Rampino
Journal:  BMC Nephrol       Date:  2019-12-11       Impact factor: 2.388

Review 9.  N-terminal Pro-B-Type Natriuretic Peptide and Malnutrition in Patients on Hemodialysis.

Authors:  Jacques Ducros; Laurent Larifla; Henri Merault; Valérie Galantine; Valérie Bassien-Capsa; Lydia Foucan
Journal:  Int J Nephrol       Date:  2020-03-05

Review 10.  Artificial intelligence enabled applications in kidney disease.

Authors:  Sheetal Chaudhuri; Andrew Long; Hanjie Zhang; Caitlin Monaghan; John W Larkin; Peter Kotanko; Shashi Kalaskar; Jeroen P Kooman; Frank M van der Sande; Franklin W Maddux; Len A Usvyat
Journal:  Semin Dial       Date:  2020-09-13       Impact factor: 3.455

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.