MODELING IN ANTI CANCER DRUG DVMT PRECLINICAL STUDIES THOUGH CLINICAL TRIALS

通过临床试验进行抗癌药物 DVMT 临床前研究建模

• 批准号: 6205821
• 负责人: MERRILL J EGORIN
• 金额: --
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2000-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6205821
• 关键词: bioengineering /biomedical engineering; biomedical resource; gas; model design /development; respiratory system

We extended the work described in last year's progress report by attempting to find improved predictors of arousal from an array of variables derived from non-EEG-related measurements. We examined various other respiratory-based measures for correlation to arousal. The following were calculated on an epoch-to-epoch basis and compared to the visually-scored arousal index: (1) the average value of the fuzzy-based severity index, SI; (2) the standard deviation of SI; (3) average inspired tidal volume; (4) standard deviation of tidal volume; (5) the maximum breath-to-breath change in inspiratory peak flow; and (6) the ratio of the maximum tidal volume over the minimum tidal volume. These variables were computed from our database of 13 patients with sleep-disordered breathing. The respiratory-based variable with the highest sensitivity of predicting arousal (75%) was the standard deviation of SI. The respiratory-based variable with the highest specificity in predicting arousal was the standard deviation of tidal volume (81%). However, the sensitivity associated with this variable was only 68%. Thus, the respiratory-related measure with best overall scores in both sensitivity and specificity was the standard deviation of SI.

我们扩展了去年进度报告中描述的工作 试图从一系列阵列中找到改进的唤醒预测指标 从与非EEG相关的测量结果得出的变量。 我们检查了 与唤醒相关的各种其他基于呼吸系统的措施。 以下以时期计算，并比较 到视觉评分的唤醒索引：（1） 基于模糊的严重性指数，SI； （2）SI的标准偏差； （3） 平均启发潮汐量； （4）潮汐体积的标准偏差； （5）吸气峰流量的最大呼吸变化；和 （6）最大潮汐体积比最小潮汐的比率 体积。 这些变量是从我们的13个数据库中计算的 呼吸呼吸困难的患者。 基于呼吸的 变量具有预测唤醒的最高灵敏度（75％）为 SI的标准偏差。 带有呼吸的变量 预测唤醒的最高特异性是标准偏差 潮汐体积（81％）。 但是，与此相关的灵敏度 变量仅为68％。 因此，与呼吸有关的措施 灵敏度和特异性的最佳总分是 SI的标准偏差。