Literature DB >> 24160234

Conicity index as a contributor marker of inflammation in haemodialysis patients.

Mar Ruperto1, Guillermina Barril, Francisco J Sánchez-Muniz.   

Abstract

INTRODUCTION: Abdominal fat mass is an important risk factor of inflammation in the general population as it is in haemodialysis (HD) patients. The aim of this study was to investigate the association of adiposity using the conicity index (Ci) with nutritional-inflammatory markers and to analyse whether these factors were related with the clinical outcome in HD patients.
METHODS: A cross-sectional study in 80 HD patients (men, 65%; aged 68.2 ± 14.2) was carried out. Abdominal fat deposition was evaluated by Ci median with regard to baseline inflammatory, anthropomorphic, and nutritional markers. Linear regression analysis was applied to identify whether serum C-reactive protein (CRP), as an inflammatory biomarker, was an independent predictor of Ci in HD patients.
RESULTS: Mean Ci was significantly greater in men (p = 0.001). Significant positive correlations were observed between Ci and serum triglycerides (r = 0.23; p < 0.05) and Ln of serum CRP (r = 0.27; p < 0.01). A significantly higher median Ci (men ≥ 1.39 and women ≥ 1.33) was observed in inflammated overweight patients by multivariate analysis (p < 0.05). Serum CRP, as an inflammatory biomarker, was a significant predictor (p = 0.021) of Ci, but its predictive value disappeared after median Ci adjustment of linear regression analysis.
CONCLUSION: Abdominal fat mass, measured by Ci, appears directly linked to inflammation in dialysis. Results support the hypothesis that inflammation in HD patients has pleiotropic effects depending on abdominal body adiposity.
Copyright © AULA MEDICA EDICIONES 2013. Published by AULA MEDICA. All rights reserved.

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Year:  2013        PMID: 24160234     DOI: 10.3305/nh.2013.28.5.6626

Source DB:  PubMed          Journal:  Nutr Hosp        ISSN: 0212-1611            Impact factor:   1.057


  6 in total

1.  Usefulness of the conicity index together with the conjoint use of adipocytokines and nutritional-inflammatory markers in hemodialysis patients.

Authors:  Mar Ruperto; Guillermina Barril; Francisco J Sánchez-Muniz
Journal:  J Physiol Biochem       Date:  2016-10-13       Impact factor: 4.158

2.  Creatinine index as a predictive marker of sarcopenia in patients under hemodialysis.

Authors:  Petrini Plytzanopoulou; Panagiotis Politis; Theodora Papachrysanthou; Christos Andriopoulos; Athina Drakou; Evangelos Papachristou; Miltiadis Papastamatiou; Marios Papasotiriou
Journal:  Int Urol Nephrol       Date:  2021-10-21       Impact factor: 2.370

3.  Association of anthropometric measures with kidney disease progression and mortality: a retrospective cohort study of pre-dialysis chronic kidney disease patients referred to a specialist renal service.

Authors:  Emma Davis; Katrina Campbell; Glenda Gobe; Carmel Hawley; Nicole Isbel; David W Johnson
Journal:  BMC Nephrol       Date:  2016-07-08       Impact factor: 2.388

4.  An Analysis of Anthropometric Indicators and Modifiable Lifestyle Parameters Associated with Hypertensive Nephropathy.

Authors:  Christiana Aryee; William K B A Owiredu; James Osei-Yeboah; Ellis Owusu-Dabo; Edwin F Laing; Isaac K Owusu
Journal:  Int J Hypertens       Date:  2016-09-27       Impact factor: 2.420

5.  The Prevalence of Metabolic Syndrome and Its Components among People with Type 2 Diabetes in the Ho Municipality, Ghana: A Cross-Sectional Study.

Authors:  James Osei-Yeboah; William K B A Owiredu; Gameli Kwame Norgbe; Sylvester Yao Lokpo; Jones Gyamfi; Emmanuel Alote Allotey; Romeo Asumbasiya Aduko; Mark Noagbe; Florence A Attah
Journal:  Int J Chronic Dis       Date:  2017-02-12

6.  Comparative assessment of anthropometric and bioimpedence methods for determining adiposity.

Authors:  David Adedia; Adjoa A Boakye; Daniel Mensah; Sylvester Y Lokpo; Innocent Afeke; Kwabena O Duedu
Journal:  Heliyon       Date:  2020-12-22
  6 in total

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