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Arq Bras Cardiol ; 98(4): 282-9, 2012 Apr.
Artigo em Inglês, Português, Espanhol | MEDLINE | ID: mdl-22735909

RESUMO

BACKGROUND: Little is known in our country about regional differences in the treatment of acute coronary disease. OBJECTIVE: To analyze the behavior regarding the use of demonstrably effective regional therapies in acute coronary disease. METHODS: A total of 71 hospitals were randomly selected, respecting the proportionality of the country in relation to geographic location, among other criteria. In the overall population was regionally analyzed the use of aspirin, clopidogrel, ACE inhibitors / AT1 blocker, beta-blockers and statins, separately and grouped by individual score ranging from 0 (no drug used) to 100 (all drugs used). In myocardial infarction with ST elevation (STEMI) regional differences were analyzed regarding the use of therapeutic recanalization (fibrinolytics and primary angioplasty). RESULTS: In the overall population, within the first 24 hours of hospitalization, the mean score in the North-Northeast (70.5 ± 22.1) was lower (p <0.05) than in the Southeast (77.7 ± 29.5), Midwest (82 ± 22.1) and South (82.4 ± 21) regions. At hospital discharge, the score of the North-Northeast region (61.4 ± 32.9) was lower (p <0.05) than in the Southeast (69.2 ± 31.6), Midwest (65.3 ± 33.6) and South (73.7 ± 28.1) regions; additionally, the score of the Midwest was lower (p <0.05) than the South region. In STEMI, the use of recanalization therapies was highest in the Southeast (75.4%, p = 0.001 compared to the rest of the country), and lowest in the North-Northeast (52.5%, p <0.001 compared to the rest of the country). CONCLUSION: The use of demonstrably effective therapies in the treatment of acute coronary disease is much to be desired in the country, with important regional differences.


Assuntos
Síndrome Coronariana Aguda/terapia , Idoso , Análise de Variância , Brasil , Análise por Conglomerados , Feminino , Hospitais Privados/estatística & dados numéricos , Hospitais Públicos/estatística & dados numéricos , Humanos , Masculino , Pessoa de Meia-Idade , Indicadores de Qualidade em Assistência à Saúde , Qualidade da Assistência à Saúde/normas , Tamanho da Amostra , Estatísticas não Paramétricas , Fatores de Tempo , Resultado do Tratamento
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