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1.
Cerebrovasc Dis ; 2024 Jan 16.
Artigo em Inglês | MEDLINE | ID: mdl-38228109

RESUMO

INTRODUCTION: Strokes are traditionally attributed to risk factors like aging, hypertension, diabetes, and atherosclerosis. Chagas disease has emerged as an important risk factor for stroke in Latin American. Our study aims at describing the largest cohort of patients with Chagas disease and ischemic stroke and determining variables associated with stroke recurrence and cardioembolic cause. METHODS: This study is the result of a national multicenter cohort study conducted in Brazil. The study spanned from January 2009 to December 2016 and involved a comprehensive retrospective analysis of medical records of patients with both Chagas disease and stroke. This cohort comprised 499 individuals from diverse Brazilian regions, focusing on vascular risk factors and the epidemiological variables associated with Chagas disease and stroke. RESULTS: Our findings underscore the significant prevalence of traditional vascular risk factors among Chagas disease patients who had stroke. 81% of patients had hypertension, 56% dyslipidemia and 25% diabetes. We observed a 29.7% recurrence rate, especially within the cardioembolic subgroup. 56% of the patients had embolic stroke of undetermined source (ESUS). Specific EKG abnormalities were associated with an increased risk of cardioembolic etiology (with three altered results increasing 81fold the chance of the stroke being of cardioembolic nature). Age emerged as a protective factor (OR:0.98, CI 0.970 - 0.997) against cardioembolic etiology. Anticoagulation therapy was associated with reduced risk (OR:0.221 |CI 0.104 - 0.472), highlighting the importance of accurate etiological classification. Conversely, female gender(OR:1.83 CI 1.039 - 3.249) emerged as a significant risk factor for stroke recurrence. CONCLUSION: This study significantly advances our epidemiological understanding of the intersection between Chagas disease and stroke. It emphasizes the critical need for extensive epidemiological investigations, a deeper comprehension of stroke recurrence determinants, and accurate etiological classification to reduce the ESUS population. Our findings have substantial clinical implications, suggesting the need of control of vascular risk factors and comorbidities and hold promise for improving patient care and reducing the burden of Chagas disease and stroke worldwide.

2.
J Stroke Cerebrovasc Dis ; 30(10): 106034, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34399284

RESUMO

BACKGROUND: Chagas disease (CD) and ischemic stroke (IS) have a close, but poorly understood, association. There is paucity of evidence on the ideal secondary prophylaxis and etiological determination, with few cardioembolic patients being identified. AIMS: This study aimed to describe a multicenter cohort of patients with concomitant CD and IS admitted in tertiary centers and to create a predictive model for cardioembolic embolism in CD and IS. MATERIALS AND METHODS: We retrospectively studied data obtained from electronic medical and regular medical records of patients with CD and IS in several academic, hospital-based, and university hospitals across Brazil. Descriptive analyses of cardioembolic and non-cardioembolic patients were performed. A prediction model for cardioembolism was proposed with 70% of the sample as the derivation sample, and the model was validated in 30% of the sample. RESULTS: A total of 499 patients were analyzed. The median age was similar in both groups; however, patients with cardioembolic embolism were younger and tended to have higher alcoholism, smoking, and death rates. The predictive model for the etiological classification showed close relation with the number of abnormalities detected on echocardiography and electrocardiography as well as with vascular risk factors. CONCLUSIONS: Our results replicate in part those previously published, with a higher prevalence of vascular risk factors and lower median age in patients with cardioembolic etiology. Our new model for predicting cardioembolic etiology can help identify patients with higher recurrence rate and therefore allow an optimized strategy for secondary prophylaxis.


Assuntos
Inteligência Artificial , Doença de Chagas/complicações , Técnicas de Apoio para a Decisão , AVC Embólico/etiologia , AVC Isquêmico/etiologia , Fatores Etários , Idoso , Brasil , Doença de Chagas/diagnóstico , Doença de Chagas/terapia , Registros Eletrônicos de Saúde , AVC Embólico/diagnóstico , AVC Embólico/terapia , Feminino , Humanos , AVC Isquêmico/diagnóstico , AVC Isquêmico/terapia , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Recidiva , Estudos Retrospectivos , Medição de Risco , Fatores de Risco
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