一项观察性研究：利尿剂给药对死亡率结局和平均ICU持续时间的影响呆
An Observational Study: The Effect of Diuretics Administration on Outcomes of Mortality and Mean Duration of I.C.U. Stay
摘要：
本论文进行了一项观察性研究，探讨在考虑ICU住院时间和30天后死亡率的情况下，是否应该对ICU脓毒症患者使用利尿剂。本论文的主要贡献是一个逐步的，可重复使用的基于软件的方法，用于检查治疗与不治疗的结果与观察数据的决定。论文通过三个步骤实现、论证并得出结论：第一步。形成一个学习小组，准备建模变量。步骤2.使用倾向得分函数对研究组的利尿剂给药倾向进行建模，并创建在该倾向中平衡的患者组。步骤3.用研究变量对每个结果进行统计建模，以确定利尿剂的给药是否有显著影响。此外，本文提出了一个初步的机器学习为基础的方法，使用遗传编程来预测死亡率和住院时间在ICU的结果为研究组。论文发现，对于其研究组，在五个倾向平衡的五分之三，统计学显着的更长的住院时间时，利尿剂管理。对于病情较轻的患者亚组（SAPS ICU入院评分< 17），给予利尿剂对死亡率有显著的负面影响。
英文摘要：
This thesis conducts an observational study into whether diuretics should be administered to ICU patients with sepsis when length of stay in the ICU and 30-day post-hospital mortality are considered. The central contribution of the thesis is a stepwise, reusable software-based approach for examining the outcome of treatment vs no-treatment decisions with observational data. The thesis implements, demonstrates and draws findings via three steps: Step 1. Form a study group and prepare modeling variables. Step 2. Model the propensity of the study group with respect to the administration of diuretics with a propensity score function and create groups of patients balanced in this propensity. Step 3. Statistically model each outcome with study variables to decide whether the administration of diuretics has a significant impact. Additionally, the thesis presents a preliminary machine learning based method using Genetic Programming to predict mortality and length of stay in ICU outcomes for the study group. The thesis finds, for its study group, in three of five propensity balanced quintiles, a statistically significant longer length of stay when diuretics are administered. For a less sick subset of patients (SAPS ICU admission score < 17) the administration of diuretics has a significant negative effect on mortality.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
