Prevalence of metabolic syndrome and associated factors among patients with chronic Chagas disease.
Isis Gabrielli Gomes XavierMarcelo Carvalho VieiraLuiz Fernando Rodrigues JuniorGilberto Marcelo Sperandio da SilvaPaula Simplício da SilvaMarcelo Teixeira de HolandaErica Rodrigues MacielFernanda Martins CarneiroFlavia Mazzoli-RochaLuiz Henrique Conde SangenisFernanda de Souza Nogueira Sardinha MendesAlejandro Marcel Hasslocher-MorenoAndrea Silvestre de SousaAndrea Rodrigues da CostaRoberto Magalhães SaraivaPedro Emmanuel Alvarenga Americano do BrasilMauro Felippe Felix MedianoPublished in: PloS one (2021)
The increase in life expectancy and the migration of individuals with Chagas disease (ChD) from rural to urban centers exposes them to the development of chronic-degenerative abnormalities that may increase the prevalence of metabolic syndrome (MetS). The present study aimed to identify the prevalence of MetS and its components in individuals with chronic ChD. This is a cross-sectional study with 361 patients of both sexes, aging >18 years, followed at a national reference center (Rio de Janeiro, Brazil). MetS diagnosis followed the International Diabetes Federation 2005 criteria. The association between the variables was determined through logistic regression models. The mean age was and 60.7±10.8 years. About half (56.2%) were female and the majority self-reported their race as mulatto (59.8%). The percentage of individuals with MetS was 40.4%. The variables independently associated with MetS were age (OR 1.06; 95%CI 1.04-1.09), high education levels (OR 0.36; 95%CI 0.17-0.79) and cardiac form with heart failure (OR 0.34; 95%CI 0.17-0.68). Therefore, a high prevalence of MetS was found in this Brazilian chronic ChD cohort. The identification of the associated factors can facilitate the development of effective approaches for preventing and managing MetS in ChD patients.
Keyphrases
- metabolic syndrome
- end stage renal disease
- heart failure
- risk factors
- chronic kidney disease
- newly diagnosed
- ejection fraction
- type diabetes
- healthcare
- prognostic factors
- insulin resistance
- peritoneal dialysis
- quality improvement
- south africa
- adipose tissue
- glycemic control
- drug induced
- skeletal muscle
- acute heart failure