Leveraging Automated Optimization of Inspired Oxygen and Oxidized Biomarker Lipidomics for Targeted Oxygenation during Mechanical Ventilation: a Pragmatic Clinical Trial

项目总结： 候选人：Sonal Pannu医学博士，是肺科的一名早期职业调查员， 她曾在俄亥俄州立大学攻读重症监护和睡眠医学专业，并拥有出色的学术记录。她 对临床和翻译研究表现出持续的兴趣，以提高机械设备的安全性 通风，重点预防高氧血症和低氧血症。此外，她还开发了生物信息学 用于靶向氧合的相关电子算法，并正在使用氧化脂质组学生物标志物来确定 最佳氧合目标。她的短期目标是用先进的 在实用和新的临床试验设计、生物信息学和相关统计方面的培训，以开发 脂肪组学生物标记物。她的长期目标是成为一名成功的独立临床和翻译 科学家领导的多学科研究团队专注于ICU中的实用临床试验 用于确定最佳氧合以改善危重患者预后的脂质组学生物标记物。 职业发展：Pannu博士的职业发展将包括参加正式培训的计划 实用的多中心临床试验；脂类组学；生物信息学和通过教学论进行的相关统计 和体验式学习。环境：Pannu博士目前所处的环境非常支持 作为一名临床和翻译研究人员的发展。有一大批ICU患者 以临床研究、生物信息学、临床协调员和实验室资源的形式提供支持 技术人员。Pannu博士的气味、Crouser博士(俄亥俄州立大学)、Diaz博士(俄亥俄州立大学)和Dr。 赖斯(范德比尔特)作为导师有着杰出的历史，此外，她的研究顾问委员会由 资金雄厚、成就斐然的研究人员。研究：潘努博士在这个项目中的目标是研究 通过自动氧气滴定策略实现定向氧合目标的方法。她的具体目标 目标1：确定以电子健康记录为基础的氧气滴定策略的有效性 维持动脉血氧饱和度验证、优化的目标外周血氧饱和度范围 和目标2：分析氧化脂质生物标志物作为高氧相关性肺损伤的标志物 将优化的靶向氧合策略与常规护理进行比较。要完成 这位Pannu博士将进行一项务实的临床试验，采用整群随机、阶梯式楔形 呼吸机靶向氧合自动方案与常规方法对比研究设计 管理指南。她将评估短期(以呼吸机和ICU为基础)和长期临床结果 (认知功能评定6个月随访)。她还将测量和比较氧化的脂质 两组内的生物标记物，以确定氧化生物标记物的概况，以实现最佳的氧合和 它们的表达与氧气暴露的程度和无呼吸机的天数相关。

PROJECT SUMMARY: Candidate: The candidate, Sonal Pannu, M.D. is an early career investigator from the division of Pulmonary, Critical Care, and Sleep Medicine at the Ohio State University and has an excellent academic track record. She has demonstrated persistent interest in clinical and translational research for improving the safety of mechanical ventilation, focusing on prevention of hyperoxia and hypoxemia. In addition, she has developed bioinformatics related electronic algorithms for targeted oxygenation and is using oxidized lipidomics biomarkers to determine optimal oxygenation targets. Her short-term goal is to augment the clinical researchtraining with advanced training in pragmatic and novel clinical trial design, bioinformatics and associated statistics for development of lipidomics biomarkers. Her long term goal is to become a successful independent clinical and translational scientist leading a multidisciplinary research team focused on pragmatic clinical trials in the ICU for utilizing lipidomics biomarkers for ascertainment of optimal oxygenation to improve outcomes of critically ill patients. Career Development: Dr. Pannu’s career development will include plans enroll in formal training for conducting pragmatic multi-center clinical trials; in lipidomics; in bioinformatics and associated statistics through didactics and experiential learning. Environment: Dr. Pannu is currently in an environment that is extremely supportive for her development as a clinical and translational researcher. There is a large ICU patient population and support in the form of resources for clinical research, bioinformatics, clinical coordinators and laboratory technicians. Dr. Pannu’smentors, Dr. Crouser (Ohio State University), Dr. Diaz (Ohio State University) and Dr. Rice (Vanderbilt) have an outstanding history as mentors in addition her research advisory committee consists of well-funded and accomplished researchers. Research: Dr. Pannu’s goal in this project is to study an approach to targeted oxygenation goals through an automated oxygen titration strategy. Her specific aims are: Aim 1: Determine the efficacy of an electronic health record based oxygen-titration strategy to maintain arterial oxygen saturation validated, optimized targeted peripheral oxygen saturation range and Aim 2: Analyze oxidized lipid biomarkers as markers of hyperoxia associated lung injury in patients with the optimized targeted oxygenation strategy compared with usual care. To accomplish this Dr. Pannu will conduct a pragmatic clinical trial with cluster randomization, stepped wedge design to study targeted oxygenation with an automated protocol vs conventional approach by ventilator management guidelines. She will assess short term (ventilator and ICU based) and long term clinical outcomes (6 month follow up for cognitive function assessment). She will also measure and compare oxidized lipid biomarkers within the two groups to determine the oxidized biomarker profile for optimal oxygenation and correlate their expression to the degree ofoxygen exposure and ventilator-free days.