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Frequência, preditores clínicos e significado prognóstico da doença arterial coronariana angiográfica em candidatos ao transplante renal

Orientador: Luis Cuadrado Martin / Coorientador: Fernando Antonio de Almeida / Resumo: Introdução: as doenças cardiovasculares representam a maior causa de mortalidade nos pacientes renais crônicos antes e após o transplante renal, dentre elas a doença coronariana apresenta destaque especial. Preditores de risco tem sido usados no seu diagnóstico que é desafiador. Poucos trabalhos validaram preditores clínicos de seleção para exames invasivos para o diagnóstico de doença arterial coronariana (DAC) antes do transplante renal.Objetivo: avaliar a frequência e poder discriminatório de preditores clínicos da presença da doença arterial coronariana em pacientes renais crônicos em programa de diálise candidatos ao transplante renal, avaliar a performance da fórmula de Gowdak e colaboradores de risco de doença arterial coronariana e verificar a associação entre doença arterial coronariana e desfechos no grupo estudado.Métodos: foram analisadas as cinecoronariografias de candidatos ao transplante renal de dois centros de transplante renal do estado de São Paulo, realizadas entre março de 2008 e abril de 2013. Foi realizado estudo transversal para verificar o poder preditivo de parâmetros clínicos para a presença de doença coronária significativa (estenose ≥70% em uma ou mais artérias epicárdicas ou ≥ 50% no tronco da coronária esquerda). Adicionalmente, verificou-se o poder discriminatório de um escore clínico de risco previamente estabelecido (que leva em conta presença de diabetes melito (DM), idade e manifestações clínicas de doença cardiovascular). Foi realizado... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Cardiovascular diseases are major causes of mortality in chronic renal failure patients before and after renal transplantation. Among them, coronary disease presents a special emphasis. Predictors of risk for coronary artery disease has been used for its diagnosis. Few studies have validated clinical predictors to selection patients for invasive procedures for the diagnosis of coronary artery disease (CAD) before renal transplantation. Objective: this study evaluated the frequency and discriminatory power of clinical predictors of coronary artery disease in chronic renal failure patients undergoing dialysis who were renal transplant candidates, assessed a previously developed scoring system (Gowdak et al.) for coronary artery disease, and we also checked the association between coronary artery disease and outcomes of the study group. Methods: coronary angiographies conducted between March 2008 and April 2013 from candidates for renal transplantation from two transplant centers in São Paulo state were analyzed. Cross-sectional study was conducted to verify the predictive power of clinical parameters for the presence of significant coronary artery disease (≥70% stenosis in one or more epicardial artery or ≥ 50% in the left main coronary artery). In addition, the discriminating power of a previously established clinical risk score was assessed (which takes account of diabetes mellitus (DM), age and clinical manifestations of cardiovascular disease). It was also conducted observational longitudinal study and drew up survival curves according to the angiographic diagnosis to verify the association between the presence of coronary heart disease and outcomes. Results: we screened 128 patients, of which 23 were excluded. The prevalence of coronary atheromatosis of any grade was 60/105 (57%) and significant coronary atheromatosis was 30/105 (29%) in the... (Complete abstract click electronic access below) / Doutor

Identiferoai:union.ndltd.org:UNESP/oai:www.athena.biblioteca.unesp.br:UEP01-000878823
Date January 2016
CreatorsSeixas, Emerson de Albuquerque
ContributorsUniversidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Medicina.
PublisherBotucatu,
Source SetsUniversidade Estadual Paulista
LanguagePortuguese
Detected LanguagePortuguese
Typecomputer file
Format109 f.
RelationSistema requerido: Adobe Acrobat Reader

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