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采用自适应神经模糊推理系统(ANFIS)对内镜检查中镇静-镇痛的丙泊酚和瑞芬太尼联合用药效果进行建模。

Modeling the effect of propofol and remifentanil combinations for sedation-analgesia in endoscopic procedures using an Adaptive Neuro Fuzzy Inference System (ANFIS).

机构信息

Anesthesiology Department, Hospital Clinic de Barcelona, Barcelona, Spain.

出版信息

Anesth Analg. 2011 Feb;112(2):331-9. doi: 10.1213/ANE.0b013e3182025a70. Epub 2010 Dec 3.

Abstract

BACKGROUND

The increasing demand for anesthetic procedures in the gastrointestinal endoscopy area has not been followed by a similar increase in the methods to provide and control sedation and analgesia for these patients. In this study, we evaluated different combinations of propofol and remifentanil, administered through a target-controlled infusion system, to estimate the optimal concentrations as well as the best way to control the sedative effects induced by the combinations of drugs in patients undergoing ultrasonographic endoscopy.

METHODS

One hundred twenty patients undergoing ultrasonographic endoscopy were randomized to receive, by means of a target-controlled infusion system, a fixed effect-site concentration of either propofol or remifentanil of 8 different possible concentrations, allowing adjustment of the concentrations of the other drug. Predicted effect-site propofol (C(e)pro) and remifentanil (C(e)remi) concentrations, parameters derived from auditory evoked potential, autoregressive auditory evoked potential index (AAI/2) and electroencephalogram (bispectral index [BIS] and index of consciousness [IoC]) signals, as well as categorical scores of sedation (Ramsay Sedation Scale [RSS] score) in the presence or absence of nociceptive stimulation, were collected, recorded, and analyzed using an Adaptive Neuro Fuzzy Inference System. The models described for the relationship between C(e)pro and C(e)remi versus AAI/2, BIS, and IoC were diagnosed for inaccuracy using median absolute performance error (MDAPE) and median root mean squared error (MDRMSE), and for bias using median performance error (MDPE). The models were validated in a prospective group of 68 new patients receiving different combinations of propofol and remifentanil. The predictive ability (P(k)) of AAI/2, BIS, and IoC with respect to the sedation level, RSS score, was also explored.

RESULTS

Data from 110 patients were analyzed in the training group. The resulting estimated models had an MDAPE of 32.87, 12.89, and 8.77; an MDRMSE of 17.01, 12.81, and 9.40; and an MDPE of -1.86, 3.97, and 2.21 for AAI/2, BIS, and IoC, respectively, in the absence of stimulation and similar values under stimulation. P(k) values were 0.82, 0.81, and 0.85 for AAI/2, BIS, and IoC, respectively. The model predicted the prospective validation data with an MDAPE of 34.81, 14.78, and 10.25; an MDRMSE of 16.81, 15.91, and 11.81; an MDPE of -8.37, 5.65, and -1.43; and P(k) values of 0.81, 0.8, and 0.8 for AAI/2, BIS, and IoC, respectively.

CONCLUSION

A model relating C(e)pro and C(e)remi to AAI/2, BIS, and IoC has been developed and prospectively validated. Based on these models, the (C(e)pro, C(e)remi) concentration pairs that provide an RSS score of 4 range from (1.8 μg·mL(-1), 1.5 ng·mL(-1)) to (2.7 μg·mL(-1), 0 ng·mL(-1)). These concentrations are associated with AAI/2 values of 25 to 30, BIS of 71 to 75, and IoC of 72 to 76. The presence of noxious stimulation increases the requirements of C(e)pro and C(e)remi to achieve the same degree of sedative effects.

摘要

背景

胃肠道内窥镜检查领域对麻醉程序的需求不断增加,但为这些患者提供和控制镇静和镇痛的方法并没有相应增加。在这项研究中,我们评估了通过靶控输注系统给予不同浓度的丙泊酚和瑞芬太尼的组合,以估计最佳浓度以及控制药物组合在接受超声内镜检查患者中诱导的镇静作用的最佳方法。

方法

120 名接受超声内镜检查的患者随机接受通过靶控输注系统给予的丙泊酚或瑞芬太尼的固定效应部位浓度,允许调整另一种药物的浓度。预测效应部位丙泊酚(C(e)pro)和瑞芬太尼(C(e)remi)浓度、听觉诱发电位、自回归听觉诱发电位指数(AAI/2)和脑电图(双频谱指数 [BIS] 和意识指数 [IoC])信号的参数,以及存在或不存在伤害性刺激时镇静的分类评分(Ramsay 镇静评分[RSS]评分)被收集、记录和分析,使用自适应神经模糊推理系统。描述了 C(e)pro 和 C(e)remi 与 AAI/2、BIS 和 IoC 之间关系的模型,使用中位数绝对性能误差(MDAPE)和中位数均方根误差(MDRMSE)进行了精度诊断,并使用中位数性能误差(MDPE)进行了偏差诊断。在接受不同丙泊酚和瑞芬太尼组合的 68 名新患者的前瞻性组中验证了这些模型。还探讨了 AAI/2、BIS 和 IoC 对镇静水平(RSS 评分)的预测能力(P(k))。

结果

110 名患者的数据在训练组中进行了分析。结果估计模型的 MDAPE 分别为 32.87、12.89 和 8.77;MDRMSE 分别为 17.01、12.81 和 9.40;MDPE 分别为-1.86、3.97 和 2.21,用于无刺激和刺激下的 AAI/2、BIS 和 IoC。P(k)值分别为 0.82、0.81 和 0.85 用于 AAI/2、BIS 和 IoC。该模型以 MDAPE 为 34.81、14.78 和 10.25;MDRMSE 为 16.81、15.91 和 11.81;MDPE 为-8.37、5.65 和-1.43;P(k)值分别为 0.81、0.8 和 0.8 用于 AAI/2、BIS 和 IoC,对前瞻性验证数据进行了预测。

结论

已经开发并前瞻性验证了一种将 C(e)pro 和 C(e)remi 与 AAI/2、BIS 和 IoC 相关联的模型。基于这些模型,提供 RSS 评分 4 的(C(e)pro,C(e)remi)浓度对的范围为(1.8μg·mL(-1),1.5ng·mL(-1))至(2.7μg·mL(-1),0ng·mL(-1))。这些浓度与 AAI/2 值为 25 至 30、BIS 为 71 至 75 和 IoC 为 72 至 76 相关。伤害性刺激的存在增加了达到相同镇静效果所需的 C(e)pro 和 C(e)remi 的需求。

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