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Development of a biomarker panel to predict cardiac resynchronization therapy response: Results from the SMART-AV trial.
Spinale, Francis G; Meyer, Timothy E; Stolen, Craig M; Van Eyk, Jennifer E; Gold, Michael R; Mittal, Suneet; DeSantis, Stacia M; Wold, Nicholas; Beshai, John F; Stein, Kenneth M; Ellenbogen, Kenneth A.
Afiliação
  • Spinale FG; Cardiovascular Translational Research Center, University of South Carolina School of Medicine and Dorn VA Medical Center, Columbia, South Carolina; Medical University of South Carolina, Charleston, South Carolina. Electronic address: cvctrc@uscmed.sc.edu.
  • Meyer TE; Boston Scientific, St. Paul, Minnesota.
  • Stolen CM; Boston Scientific, St. Paul, Minnesota.
  • Van Eyk JE; Departments of Medicine, Biol. Chem and Biomed. Eng, Johns Hopkins University, Baltimore, Maryland.
  • Gold MR; Medical University of South Carolina, Charleston, South Carolina.
  • Mittal S; The Valley Hospital Health System, Ridgewood, New Jersey.
  • DeSantis SM; Cardiovascular Translational Research Center, University of South Carolina School of Medicine and Dorn VA Medical Center, Columbia, South Carolina.
  • Wold N; Boston Scientific, St. Paul, Minnesota.
  • Beshai JF; Mayo Clinic, Phoenix, Arizona.
  • Stein KM; Boston Scientific, St. Paul, Minnesota.
  • Ellenbogen KA; Virginia Commonwealth University Medical Center, Richmond, Virginia.
Heart Rhythm ; 16(5): 743-753, 2019 05.
Article em En | MEDLINE | ID: mdl-30476543
BACKGROUND: Predicting a favorable cardiac resynchronization therapy (CRT) response holds great clinical importance. OBJECTIVE: The purpose of this study was to examine proteins from broad biological pathways and develop a prediction tool for response to CRT. METHODS: Plasma was collected from patients before CRT (SMART-AV [SmartDelay Determined AV Optimization: A Comparison to Other AV Delay Methods Used in Cardiac Resynchronization Therapy] trial). A CRT response was prespecified as a ≥15-mL reduction in left ventricular end-systolic volume at 6 months, which resulted in a binary CRT response (responders 52%, nonresponders 48%; n = 758). RESULTS: Candidate proteins (n = 74) were evaluated from the inflammatory, signaling, and structural domains, which yielded 12 candidate biomarkers, but only a subset of these demonstrated predictive value for CRT response: soluble suppressor of tumorgenicity-2, soluble tumor necrosis factor receptor-II, matrix metalloproteinase-2, and C-reactive protein. These biomarkers were used in a composite categorical scoring algorithm (Biomarker CRT Score), which identified patients with a high/low probability of a response to CRT (P <.001) when adjusted for a number of clinical covariates. For example, a Biomarker CRT Score of 0 yielded 5 times higher odds of a response to CRT compared to a Biomarker CRT Score of 4 (P <.001). The Biomarker CRT Score demonstrated additive predictive value when considered against a composite of clinical variables. CONCLUSION: These unique findings demonstrate that developing a biomarker panel for predicting individual response to CRT is feasible and holds potential for point-of-care testing and integration into evaluation algorithms for patients presenting for CRT.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteína C-Reativa / Metaloproteinase 2 da Matriz / Receptores Tipo II do Fator de Necrose Tumoral / Terapia de Ressincronização Cardíaca / Insuficiência Cardíaca Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteína C-Reativa / Metaloproteinase 2 da Matriz / Receptores Tipo II do Fator de Necrose Tumoral / Terapia de Ressincronização Cardíaca / Insuficiência Cardíaca Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article