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Circ Heart Fail ; 9(7)2016 07.
Artigo em Inglês | MEDLINE | ID: mdl-27382090

RESUMO

BACKGROUND: Contrast media administered during cardiac catheterization can affect hemodynamic variables. However, little is documented about the effects of contrast on hemodynamics in heart failure patients or the prognostic value of baseline and changes in hemodynamics for predicting subsequent adverse events. METHODS AND RESULTS: In this prospective study of 150 heart failure patients, we measured hemodynamics at baseline and after administration of iodixanol or iopamidol contrast. One-year Kaplan-Meier estimates of adverse event-free survival (death, heart failure hospitalization, and rehospitalization) were generated, grouping patients by baseline measures of pulmonary capillary wedge pressure (PCWP) and cardiac index (CI), and by changes in those measures after contrast administration. We used Cox proportional hazards modeling to assess sequentially adding baseline PCWP and change in CI to 5 validated risk models (Seattle Heart Failure Score, ESCAPE [Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness], CHARM [Candesartan in Heart Failure: Assessment of Reduction in Mortality and Morbidity], CORONA [Controlled Rosuvastatin Multinational Trial in Heart Failure], and MAGGIC [Meta-Analysis Global Group in Chronic Heart Failure]). Median contrast volume was 109 mL. Both contrast media caused similarly small but statistically significant changes in most hemodynamic variables. There were 39 adverse events (26.0%). Adverse event rates increased using the composite metric of baseline PCWP and change in CI (P<0.01); elevated baseline PCWP and decreased CI after contrast correlated with the poorest prognosis. Adding both baseline PCWP and change in CI to the 5 risk models universally improved their predictive value (P≤0.02). CONCLUSIONS: In heart failure patients, the administration of contrast causes small but significant changes in hemodynamics. Calculating baseline PCWP with change in CI after contrast predicts adverse events and increases the predictive value of existing models. Patients with elevated baseline PCWP and decreased CI after contrast merit greatest concern.


Assuntos
Cateterismo Cardíaco/efeitos adversos , Meios de Contraste/efeitos adversos , Insuficiência Cardíaca/diagnóstico , Hemodinâmica/efeitos dos fármacos , Iopamidol/efeitos adversos , Ácidos Tri-Iodobenzoicos/efeitos adversos , Idoso , Débito Cardíaco/efeitos dos fármacos , Distribuição de Qui-Quadrado , Meios de Contraste/administração & dosagem , Intervalo Livre de Doença , Feminino , Insuficiência Cardíaca/mortalidade , Insuficiência Cardíaca/fisiopatologia , Humanos , Iopamidol/administração & dosagem , Estimativa de Kaplan-Meier , Modelos Lineares , Masculino , Pessoa de Meia-Idade , Readmissão do Paciente , Valor Preditivo dos Testes , Modelos de Riscos Proporcionais , Estudos Prospectivos , Pressão Propulsora Pulmonar/efeitos dos fármacos , Medição de Risco , Fatores de Risco , Fatores de Tempo , Ácidos Tri-Iodobenzoicos/administração & dosagem
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