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1.
J Card Fail ; 29(4): 463-472, 2023 04.
Artigo em Inglês | MEDLINE | ID: mdl-36243338

RESUMO

BACKGROUND: Congestion is central to the pathophysiology of heart failure (HF); thus, tracking congestion is crucial for the management of patients with HF. In this study we aimed to compare changes in inferior vena cava diameter (IVCD) with venous pressure following manipulation of volume status during ultrafiltration in patients with cardiac dysfunction. METHODS AND RESULTS: Patients with stable hemodialysis and with systolic or diastolic dysfunction were studied. Central venous pressure (CVP) and peripheral venous pressure (PVP) were measured before and after hemodialysis. IVCD and PVP were measured simultaneously just before dialysis, 3 times during dialysis and immediately after dialysis. Changes in IVCD and PVP were compared at each timepoint with ultrafiltration volumes. We analyzed 30 hemodialysis sessions from 20 patients. PVP was validated as a surrogate for CVP. Mean ultrafiltration volume was 2102 ± 667 mL. IVCD discriminated better ultrafiltration volumes ≤ 500 mL or ≤ 750 mL than PVP (AUC 0.80 vs 0.62, and 0.80 vs 0.56, respectively; both P< 0.01). IVCD appeared to track better ultrafiltration volume (P< 0.01) and hemoconcentration (P< 0.05) than PVP. Changes in IVCD were of greater magnitude than those of PVP (average change from predialysis: -58 ± 30% vs -28 ± 21%; P< 0.001). CONCLUSIONS: In patients undergoing ultrafiltration, changes in IVCD tracked changes in volume status better than venous pressure.


Assuntos
Cardiopatias , Insuficiência Cardíaca , Humanos , Insuficiência Cardíaca/terapia , Veia Cava Inferior/diagnóstico por imagem , Pressão Venosa Central/fisiologia , Diálise Renal , Pressão Venosa
2.
J Am Heart Assoc ; 3(1): e000550, 2014 Jan 13.
Artigo em Inglês | MEDLINE | ID: mdl-24419736

RESUMO

BACKGROUND: The utility of longitudinal, circumferential, and radial strain and strain rate in determining prognosis in chronic heart failure is not well established. METHODS AND RESULTS: In 416 patients with chronic systolic heart failure, we performed speckle-tracking analyses of left ventricular longitudinal, circumferential, and radial strain and strain rate on archived echocardiography images (30 frames per second). Cox regression models were used to determine the associations between strain and strain rate and risk of all-cause mortality, cardiac transplantation, and ventricular-assist device placement. The area under the time-dependent ROC curve (AUC) was also calculated at 1 year and 5 years. Over a maximum follow-up of 8.9 years, there were 138 events (33.2%). In unadjusted models, all strain and strain rate parameters were associated with adverse outcomes (P<0.001). In multivariable models, all parameters with the exception of radial strain rate (P=0.11) remained independently associated, with patients in the lowest tertile of strain or strain rate parameter having a ≈ 2-fold increased risk of adverse outcomes compared with the reference group (P<0.05). Addition of strain to ejection fraction (EF) led to a significantly improved AUC at 1 year (0.697 versus 0.633, P=0.032) and 5 years (0.700 versus 0.638, P=0.001). In contrast, strain rate did not provide incremental prognostic value to EF alone. CONCLUSIONS: Longitudinal and circumferential strain and strain rate, and radial strain are associated with chronic heart failure prognosis. Strain provides incremental value to EF in the prediction of adverse outcomes, and with additional study may be a clinically relevant prognostic tool.


Assuntos
Ecocardiografia Doppler , Insuficiência Cardíaca Sistólica/diagnóstico por imagem , Contração Miocárdica , Volume Sistólico , Função Ventricular Esquerda , Idoso , Doença Crônica , Elasticidade , Feminino , Insuficiência Cardíaca Sistólica/mortalidade , Insuficiência Cardíaca Sistólica/fisiopatologia , Insuficiência Cardíaca Sistólica/terapia , Transplante de Coração , Coração Auxiliar , Humanos , Estimativa de Kaplan-Meier , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Valor Preditivo dos Testes , Prognóstico , Modelos de Riscos Proporcionais , Estudos Prospectivos , Medição de Risco , Fatores de Risco , Índice de Gravidade de Doença , Estresse Mecânico , Fatores de Tempo , Estados Unidos
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