Literature DB >> 15496560

The prognostic impact of fluctuating levels of C-reactive protein in Brazilian haemodialysis patients: a prospective study.

Marcelo M Nascimento1, Roberto Pecoits-Filho, A Rashid Qureshi, Shirley Y Hayashi, Roberto C Manfro, Maria A Pachaly, Luciana Renner, Peter Stenvinkel, Bengt Lindholm, Miguel C Riella.   

Abstract

BACKGROUND: A single elevated C-reactive protein (CRP) value predicts mortality in haemodialysis (HD) patients, but the relative importance of repeated vs occasional positive systemic inflammatory response findings is not known.
METHODS: To assess the influence on survival of occasional inflammation, CRP, serum albumin (S-Alb) and fibrinogen were analysed bimonthly in 180 HD patients (54% male, 49+/-14 years). Clinically significant inflammation was defined as CRP >5.1 mg/l, based on the receiver operating characteristics curve for CRP as predictor of death. Based on four consecutive measurements of CRP, patients were assigned into three groups: group 1 (n = 74; 41%), no inflammation (CRP < or = 5.1 mg/l in all measurements); group 2 (n = 65; 36%), occasional inflammation (1-3 measurements of CRP > 5.1 mg/l); and group 3 (n = 41; 23%), persistent inflammation (all measurements of CRP >5.1 mg/l). The nutritional status was evaluated by subjective global assessment (SGA) and body mass index (BMI), and the survival (21 months of follow-up) by Kaplan-Meier curve and Cox model.
RESULTS: The median and range of CRP values (mg/l) for group 1, 2 and 3 were: 3.2 (3.2-5.1), 3.6 (3.2-54.9) and 13.8 (5.2-82), respectively (P<0.001), whereas the prevalence of malnutrition, assessed by SGA and BMI, did not differ significantly between the groups. The survival rate by Kaplan-Meier analysis was significantly different among the groups (chi2 = 12.34; P = 0.0004). Patients in group 3 showed the highest mortality (34%; P = 0.001), compared with group 1 (8%) and group 2 (14%; P = 0.01), respectively, whereas there was no significant difference in mortality between groups 1 and 2. Age, CRP, S-Alb level and SGA were independent predictors of mortality.
CONCLUSION: The patients with a persistent elevation of CRP had a higher mortality rate than the patients with occasional CRP elevation. Thus, persistent, rather than occasional, inflammation is an important predictor of death in HD patients.

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Year:  2004        PMID: 15496560     DOI: 10.1093/ndt/gfh493

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


  16 in total

1.  Association between albuminuria, kidney function, and inflammatory biomarker profile in CKD in CRIC.

Authors:  Jayanta Gupta; Nandita Mitra; Peter A Kanetsky; Joe Devaney; Maria R Wing; Muredach Reilly; Vallabh O Shah; Vaidyanathapura S Balakrishnan; Nicolas J Guzman; Matthias Girndt; Brian G Periera; Harold I Feldman; John W Kusek; Marshall M Joffe; Dominic S Raj
Journal:  Clin J Am Soc Nephrol       Date:  2012-09-27       Impact factor: 8.237

2.  C-reactive protein and prediction of 1-year mortality in prevalent hemodialysis patients.

Authors:  Jonathan Bazeley; Brian Bieber; Yun Li; Hal Morgenstern; Patricia de Sequera; Christian Combe; Hiroyasu Yamamoto; Martin Gallagher; Friedrich K Port; Bruce M Robinson
Journal:  Clin J Am Soc Nephrol       Date:  2011-08-25       Impact factor: 8.237

Review 3.  Monitoring of inflammation in patients on dialysis: forewarned is forearmed.

Authors:  Christiaan L Meuwese; Peter Stenvinkel; Friedo W Dekker; Juan J Carrero
Journal:  Nat Rev Nephrol       Date:  2011-03       Impact factor: 28.314

4.  Association of body fat with inflammation in peritoneal dialysis.

Authors:  Andresa Marques de Mattos; Paula Payão Ovidio; Alceu Afonso Jordão; José Abrão Cardeal da Costa; Paula Garcia Chiarello
Journal:  Inflammation       Date:  2013-06       Impact factor: 4.092

5.  Associations of interleukin-6, C-reactive protein and serum amyloid A with mortality in haemodialysis patients.

Authors:  James B Wetmore; David H Lovett; Adriana M Hung; Galen Cook-Wiens; Jonathan D Mahnken; Saunak Sen; Kirsten L Johansen
Journal:  Nephrology (Carlton)       Date:  2008-09-25       Impact factor: 2.506

6.  Identification of discriminating biomarkers for human disease using integrative network biology.

Authors:  Joel T Dudley; Atul J Butte
Journal:  Pac Symp Biocomput       Date:  2009

7.  The malnutrition and inflammation axis in pediatric patients with chronic kidney disease.

Authors:  Lucimary C Sylvestre; Karla P D Fonseca; Andréa E M Stinghen; Aline Maria Pereira; Rejane P Meneses; Roberto Pecoits-Filho
Journal:  Pediatr Nephrol       Date:  2007-03-06       Impact factor: 3.714

8.  Race modifies the association between adiposity and inflammation in patients with chronic kidney disease: findings from the chronic renal insufficiency cohort study.

Authors:  Maria R Wing; Wei Yang; Valerie Teal; Sankar Navaneethan; Kaixiang Tao; Akinlolu Ojo; Nicolas N Guzman; Muredach Reilly; Melanie Wolman; Sylvia E Rosas; Magda Cuevas; Michael Fischer; Eva Lustigova; Stephen R Master; Dawei Xie; Dina Appleby; Marshall Joffe; John Kusek; Harold I Feldman; Dominic S Raj
Journal:  Obesity (Silver Spring)       Date:  2014-02-11       Impact factor: 5.002

Review 9.  Cardiovascular biomarkers in chronic kidney disease: state of current research and clinical applicability.

Authors:  Luis D'Marco; Antonio Bellasi; Paolo Raggi
Journal:  Dis Markers       Date:  2015-04-05       Impact factor: 3.434

10.  Hypoalbuminaemia--a marker of cardiovascular disease in patients with chronic kidney disease stages II-IV.

Authors:  Nehal Rachit Shah; Francis Dumler
Journal:  Int J Med Sci       Date:  2008-11-12       Impact factor: 3.738

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