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: 6480881
• 负责人: MERRILL J EGORIN
• 金额: $ 15.58万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6480881
• 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.

我们将去年进度报告中描述的工作扩展了 试图从一系列的数据中找到改进的唤醒预测因子 来自非脑电图相关测量的变量。 我们检查了 与唤醒相关的各种其他基于呼吸的测量方法。 以下是按历元计算并进行比较 视觉评分唤醒指数：（1） 基于模糊的严重性指数，SI； (2) SI的标准差； (3) 平均潮气量； (4)潮气量标准差； (5) 吸气峰值流量的最大呼吸变化；和 (6)最大潮气量与最小潮气量之比 体积。 这些变量是根据我们的 13 个数据库计算得出的 睡眠呼吸障碍患者。 以呼吸为基础的 预测唤醒灵敏度最高的变量 (75%) 是 SI 的标准差。 基于呼吸的变量 预测唤醒的最高特异性是标准差 潮气量（81%）。 然而，与此相关的敏感性 变量仅为68%。 因此，与呼吸相关的措施 敏感性和特异性方面总体得分最高的是 SI 的标准差。