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Red cell distribution width is associated with cardiovascular risk in adults.
Carvalho, Natane Moreira de; Maluf, Chams Bicalho; Azevedo, Douglas Roberto Mesquita; Reis, Rodrigo Citton Padilha Dos; Castilhos, Cristina Dickie de; Barreto, Sandhi Maria; Vidigal, Pedro Guatimosim.
Afiliação
  • Carvalho NM; Departamento de Patologia Clínica, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG). Av. Prof. Alfredo Balena 190, Santa Efigênia. 30130-100 Belo Horizonte MG Brasil. natanecarvalho@gmail.com.
  • Maluf CB; Departamento de Patologia Clínica, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG). Av. Prof. Alfredo Balena 190, Santa Efigênia. 30130-100 Belo Horizonte MG Brasil. natanecarvalho@gmail.com.
  • Azevedo DRM; Departamento de Estatística, UFMG. Belo Horizonte MG Brasil.
  • Reis RCPD; Departamento de Estatística, Universidade Federal do Rio Grande do Sul (UFRGS). Porto Alegre RS Brasil.
  • Castilhos CD; Departamento de Saúde Pública, UFRGS. Porto Alegre RS Brasil.
  • Barreto SM; Departamento de Saúde Pública, Faculdade de Medicina, UFMG. Belo Horizonte MG Brasil.
  • Vidigal PG; Departamento de Patologia Clínica, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG). Av. Prof. Alfredo Balena 190, Santa Efigênia. 30130-100 Belo Horizonte MG Brasil. natanecarvalho@gmail.com.
Cien Saude Colet ; 27(7): 2753-2762, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35730844
ABSTRACT
Red cell distribution width (RDW) is a measure of erythrocyte size variability. Recent studies have shown that RDW is a predictive, and prognostic marker of mortality and cardiovascular (CVD) events in the general population and in CVD patients. This study aimed to investigate the association between RDW and CVD risk in a large sample of adults. A subsample of CVD free participants of the ELSA-Brasil cohort were included (n=4,481). In the cross-sectional approach, multiple regression analysis was used to investigate the association between RDW and the Framingham Risk Score (FRS). Linear mixed effect model evaluated whether baseline RDW predicted changes in CVD risk after about four-year follow up. Cross-sectional analysis showed that RDW was independently associated with FRS, participants in the fourth-quartile of RDW distribution had a 29% higher FRS than those in the first-quartile RDW (p<0.001). A longitudinal analysis revealed that RDW remained associated with increased FRS. In this large cohort of adult Brazilians, RDW was independently associated with increased CVD risk, as measured by the FRS, both at baseline and after four-year follow-up. However, RDW did not predict change in CVD risk in this short-term follow up.
Assuntos