Derivation and validation of a cardiac risk index in liver transplantation

描述（由申请人提供）：该博士后奖学金的目标是促进候选人作为移植结果研究领导者的发展，重点是围手术期心血管（CV）风险评估。基于她在内科学，移植肝脏学和临床研究方面的背景，候选人建议在获奖期间通过以下方式发展额外的技能：（1）旨在扩大她的方法技能的课程;（2）与赞助商和合作者的多学科团队的互动， 包括心血管流行病学、风险评估、移植结果和卫生服务研究;（3）监督研究项目。该项目的总体目标是通过两个主要具体目标定义和优化原位肝移植（奥尔特）候选人的术前心血管风险评估模型：（1）确定国家肝移植特异性心血管风险指数（NOLT-CRI）通过以下方式提高了常用的修订心脏风险指数（RCRI）的预测效用：（1.1）确定歧视（C-统计量）和校准RCRI的（Hosmer-Lemeshow统计量）作为30天CV事件的模型，使用国家数据库的二级数据分析;和（1.2）比较NOLT-CRI与RCRI在其重新分类30天CV风险和在预测的30天CV风险的连续体中分层1年存活率的能力方面的临床性能;（2）确定是否需要在国家数据库现有变量之外增加其他变量，以提高这些模型的预测能力，（2.1）确定局部导出的心脏风险指数的模型辨别和校准，（LOLT-CRI）使用中心特定数据库，该数据库具有比目前全国可用的更详细的临床数据;和（2.2）比较LOLT-CRI与国家模型在风险重新分类能力方面的临床表现。该项目将满足美国国立卫生研究院的使命，通过识别肝移植候选人特有的心血管疾病标志物，然后可以用于改善这一不断增长的患者群体的移植前和移植后的医疗管理。该项目，沿着选择的课程和指导，将使候选人成为精通数据管理和统计方法。在奖励期结束时，候选人计划提交一份职业发展奖，使用该项目的结果来开发一种用于肝移植前的心血管风险评估治疗算法。

DESCRIPTION (provided by applicant): The goal of this postdoctoral fellowship is to facilitate the candidate's development as a leader in transplantation outcomes research, with a focus on perioperative cardiovascular (CV) risk assessment. Building on her background in internal medicine, transplant hepatology, and clinical investigation, the candidate proposes to develop additional skills during the award period through (1) coursework designed to expand her methodological skills; (2) interaction with a multidisciplinary team of sponsors and collaborators, including those in cardiovascular epidemiology, risk assessment, transplantation outcomes, and health services research; and (3) a supervised research project. The overall objective of this project is to define and optimize a preoperative cardiovascular risk assessment model for orthotopic liver transplant (OLT) candidates through two primary specific aims: (1) To determine if a national liver transplant-specific Cardiovascular Risk Index (NOLT-CRI) improves the predictive utility of the commonly used revised cardiac risk index (RCRI) by (1.1) determining the discrimination (C-statistic) and calibration (Hosmer-Lemeshow statistic) of the RCRI as a model of 30-day CV events using secondary data analysis of a national database; and (1.2) comparing the clinical performance of the NOLT-CRI to the RCRI in its ability to reclassify 30-day CV risk and to stratify 1- year survival across the continuum of predicted 30-day CV risk; (2) To determine whether additional variables are needed beyond those available within a national database in order to improve the predictive ability of these models by (2.1) determining the model discrimination and calibration of a locally-derived cardiac risk index (LOLT-CRI) using a center-specific database with more detailed clinical data than are currently available nationally; and (2.2) comparing the clinical performance of the LOLT-CRI to the national models in its ability to reclassify risk. This project will meet the mission of the National Institutes of Healthby identifying cardiovascular disease markers that are unique to the liver transplant candidate, which can then be used to improve pre- and post-transplant medical management in this growing patient population. The project, along with the chosen coursework and mentorship, will allow the candidate to become proficient at data management and statistical methodology. Near the end of the award period, the candidate plans to submit a career development award using the results of the project to develop a cardiovascular risk assessment treatment algorithm for use prior to liver transplantation.