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1.
Rev Soc Bras Med Trop ; 53: e20190443, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32321092

RESUMO

INTRODUCTION: Herein, we aimed to identify the factors associated with adverse drug events (ADEs) in chronic Chagas disease (CD) patients. METHODS: We analyzed 320 medical notes from 295 patients. The Naranjo algorithm was applied to determine the cause of ADEs. Mixed effects logistic regression was performed to evaluate the factors associated with ADEs. RESULTS: ADEs were described in 102 medical notes (31.9%). Captopril was most frequently associated with ADEs. Age (RR 0.96; 95%CI 0.94-0.99) and cardiac C/D stages (RR 3.24; 95%CI 1.30-4.58) were the most important clinical factors associated with ADEs. CONCLUSIONS: Close follow-up is warranted for CD patients.


Assuntos
Doença de Chagas/tratamento farmacológico , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/epidemiologia , Idoso , Algoritmos , Brasil/epidemiologia , Doença Crônica , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Índice de Gravidade de Doença , Fatores Socioeconômicos
2.
Rev. Soc. Bras. Med. Trop ; 53: e20190443, 2020. tab
Artigo em Inglês | LILACS | ID: biblio-1101452

RESUMO

Abstract INTRODUCTION: Herein, we aimed to identify the factors associated with adverse drug events (ADEs) in chronic Chagas disease (CD) patients. METHODS: We analyzed 320 medical notes from 295 patients. The Naranjo algorithm was applied to determine the cause of ADEs. Mixed effects logistic regression was performed to evaluate the factors associated with ADEs. RESULTS: ADEs were described in 102 medical notes (31.9%). Captopril was most frequently associated with ADEs. Age (RR 0.96; 95%CI 0.94-0.99) and cardiac C/D stages (RR 3.24; 95%CI 1.30-4.58) were the most important clinical factors associated with ADEs. CONCLUSIONS: Close follow-up is warranted for CD patients.


Assuntos
Humanos , Masculino , Feminino , Idoso , Doença de Chagas/tratamento farmacológico , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/epidemiologia , Fatores Socioeconômicos , Índice de Gravidade de Doença , Algoritmos , Brasil/epidemiologia , Doença Crônica , Pessoa de Meia-Idade
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