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Decision Aid to Determine the Necessity of Right Ventricular Support for Patients Receiving a Left Ventricular Assist Device

机译:决策辅助,以确定接受左心室辅助装置的患者需要右心室支持

摘要

The purpose of this study was to improve the efficacy of VAD therapy for patients intended for VAD insertion. The study focused on the specific decision whether an LVAD or BiVAD is appropriate. A hierarchical decision model was constructed using an influence diagram of clinical risk factors derived through interviews with expert cardiologists and cardiac surgeons. Most of the variables are summarized by two independent criteria: risk of surgery and risk of right ventricular (RV) failure. These risks are computed from various patient demographics, tests, and hemodynamics using expert physician-selected weighted linear and weighted non-linear relationships. The model was validated with retrospective data from patient records at University of Pittsburgh Medical Center (UPMC) for patients implanted after 1990 and explanted before 2006. In total 239 patients were implanted and explanted during this time, of those 168 had sufficient information to be used in this analysis. 48 patients received biventricular assistance (BiVADs), 119 patients received only left ventricular assistance (LVADs). Of these 119 LVAD patients, 19 subsequently received an RVAD due to unanticipated RV dysfunction. Pre-implant data were used as input to the model. The model parameters were derived from two different physicians. The models based on individual physician's weightings predicted 63% (47%) of the patients who required an RVAD after implant. However, these decision models also recommended BiVAD implantation for 40% (43%) of patients who were treated successfully with an LVAD alone.A nonlinear numerical optimizer was used to improve the model parameters to optimize the agreement with eventual outcomes. The optimized model predicted 74% of the patients who required an RVAD post-implant and recommended the implantation of BiVADs in 21% of patients who were treated successfully with an LVAD alone. In conclusion, the decision model provided a more aggressive use of biventricular assistance, which retrospectively would have benefited patients who required an RVAD at a later date, but would have unnecessarily implanted RVADs in some patients that survived with an LVAD alone. However the model also identified that 48% of the patients who initially received BiVADs to be candidates for LVAD alone.
机译:这项研究的目的是提高VAD治疗对打算插入VAD的患者的疗效。该研究集中在是否使用LVAD或BiVAD的特定决策上。使用通过与专业心脏病医生和心脏外科医生的访谈得出的临床危险因素的影响图,构建了层次决策模型。大多数变量由两个独立的标准概括:手术风险和右心室(RV)衰竭风险。这些风险是通过使用专家医师选择的加权线性和加权非线性关系从各种患者人口统计学,测试和血液动力学计算得出的。该模型已通过匹兹堡大学医学中心(UPMC)的患者记录的回顾性数据进行了验证,该数据用于1990年之后植入和2006年之前植入的患者。在此期间总共植入和植入了239名患者,其中168名有足够的信息可供使用在此分析中。 48例患者接受了双心室辅助(BiVADs),119例仅接受了左心室辅助(LVADs)。在这119名LVAD患者中,有19名由于意外的RV功能障碍随后接受了RVAD。植入前的数据用作模型的输入。模型参数来自两名不同的医生。基于个体医师权重的模型预测了植入后需要RVAD的患者中有63%(47%)。但是,这些决策模型还建议将BiVAD植入40%(43%)的仅使用LVAD成功治疗的患者中。非线性数值优化器用于改善模型参数,以优化最终结果的一致性。优化的模型预测了74%的需要在植入后进行RVAD的患者,并建议在21%的仅接受LVAD成功治疗的患者中植入BiVAD。总之,该决策模型提供了更积极地使用双心室辅助治疗的方法,该方法可以使以后需要RVAD的患者受益,但对于仅靠LVAD存活的某些患者则不必要地植入了RVAD。但是,该模型还确定,最初接受BiVAD的患者中有48%仅是LVAD的候选人。

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    Uber Bronwyn;

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  • 年度 2006
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  • 正文语种 en
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