OBJECTIVES: Patients with rheumatoid arthritis (RA) have a higher mortality than the general population, and this increased mortality is related to demographic and disease variables. N-terminal pro-brain natriuretic peptide (NT-proBNP) is a predictor of mortality both in general and patient populations, but has not been shown to predict mortality in patients with RA. This study examines whether NT-proBNP can further improve the prediction of mortality in RA. METHODS: 182 patients with RA of 5-9 years disease duration were comprehensively examined in 1997. Serum samples were frozen and later batch analysed for NT-proBNP levels and other biomarkers. Adjusted univariate and logistic regression analyses were performed with death within the 10-year follow-up period as the dependent variable. Significant predictors were also examined as dichotomised variables. RESULTS: Mortality was predicted in univariate analyses by the following variables: age, sex, homozygosity for HLA-DRB1 shared epitope alleles, Health Assessment Questionnaire, 28-joint Disease Activity Score (DAS28) and NT-proBNP. A multivariate model with age, sex, DAS28 and NT-proBNP as independent variables showed the greatest discrimination. CONCLUSION: NT-proBNP provided incremental information in the prediction of mortality in this cohort of patients with RA.
OBJECTIVES:Patients with rheumatoid arthritis (RA) have a higher mortality than the general population, and this increased mortality is related to demographic and disease variables. N-terminal pro-brain natriuretic peptide (NT-proBNP) is a predictor of mortality both in general and patient populations, but has not been shown to predict mortality in patients with RA. This study examines whether NT-proBNP can further improve the prediction of mortality in RA. METHODS: 182 patients with RA of 5-9 years disease duration were comprehensively examined in 1997. Serum samples were frozen and later batch analysed for NT-proBNP levels and other biomarkers. Adjusted univariate and logistic regression analyses were performed with death within the 10-year follow-up period as the dependent variable. Significant predictors were also examined as dichotomised variables. RESULTS: Mortality was predicted in univariate analyses by the following variables: age, sex, homozygosity for HLA-DRB1 shared epitope alleles, Health Assessment Questionnaire, 28-joint Disease Activity Score (DAS28) and NT-proBNP. A multivariate model with age, sex, DAS28 and NT-proBNP as independent variables showed the greatest discrimination. CONCLUSION:NT-proBNP provided incremental information in the prediction of mortality in this cohort of patients with RA.
Authors: Julio C B Moraes; Ana C M Ribeiro; Carla G S Saad; Alessandro C Lianza; Clovis A Silva; Eloísa Bonfá Journal: Clin Rheumatol Date: 2013-02-05 Impact factor: 2.980
Authors: Roby Joehanes; Andrew D Johnson; Jennifer J Barb; Nalini Raghavachari; Poching Liu; Kimberly A Woodhouse; Christopher J O'Donnell; Peter J Munson; Daniel Levy Journal: Physiol Genomics Date: 2011-11-01 Impact factor: 3.107
Authors: Miguel Bernardes; Tiago S Vieira; Maria João Martins; Raquel Lucas; Lúcia Costa; Jorge G Pereira; Francisco Ventura; Elisabete Martins Journal: Biomed Res Int Date: 2017-05-03 Impact factor: 3.411
Authors: Hoda Mirjafari; Paul Welsh; Suzanne M M Verstappen; Paddy Wilson; Tarnya Marshall; Helena Edlin; Diane Bunn; Jacqueline Chipping; Mark Lunt; Deborah P M Symmons; Naveed Sattar; Ian N Bruce Journal: Ann Rheum Dis Date: 2013-03-19 Impact factor: 19.103