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Eur Neurol ; 79(3-4): 177-184, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29539612

RESUMO

BACKGROUND: Chagas disease is related to ischemic stroke (IS), although few epidemiological studies have evaluated the associated mortality and recurrence. Our objective is to determine factors associated with mortality and recurrence of IS in patients with IS and Chagas disease. METHODS: We retrospectively studied data obtained from electronic medical records of patients admitted at SARAH Hospitals across Brazil between 2009 and 2013. Using Cox regression analysis for mortality and logistic regression for recurrence, we assessed primary population characteristics and statistical associations between risk factors and outcomes. RESULTS: We analyzed 279 patients who were followed up until 2016. The mean age at stroke onset was 61 with a 10% frequency of death. Multivariate analysis assessing mortality demonstrated that the associated factors were age at stroke (hazard ratio [HR] 1.04), initial modified Rankin Scale (mRS; HR 20.91), bladder dysfunction (HR 2.51), diabetes mellitus (DM; HR 3.64), and alcoholism (HR 3.37). Multivariate analysis assessing recurrence demonstrated that the associated factors were age at ictus (OR 0.96), cognitive deficit (OR 0.44), initial mRS (OR 1.84), cardioembolic etiology (OR 2.47), and female sex (OR 2.73). CONCLUSIONS: Cardiac conditions did not correlate with mortality or recurrence. Age was a protective factor against recurrence, probably due to cumulative risk of IS over time, while initial mRS was associated with both outcomes. Treating diseases such as DM and bladder dysfunction, and early treatment to reduce the initial mRS could potentially prevent both outcomes; also, establishing a correct etiological diagnosis is important.


Assuntos
Doença de Chagas/complicações , Acidente Vascular Cerebral/epidemiologia , Acidente Vascular Cerebral/etiologia , Idoso , Brasil/epidemiologia , Infarto Cerebral/complicações , Infarto Cerebral/epidemiologia , Doença de Chagas/mortalidade , Estudos de Coortes , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Modelos de Riscos Proporcionais , Recidiva , Estudos Retrospectivos , Fatores de Risco
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