首页> 外文期刊>Anesthesia and Analgesia: Journal of the International Anesthesia Research Society >Modeling the effect of propofol and remifentanil combinations for sedation-analgesia in endoscopic procedures using an Adaptive Neuro Fuzzy Inference System (ANFIS).
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Modeling the effect of propofol and remifentanil combinations for sedation-analgesia in endoscopic procedures using an Adaptive Neuro Fuzzy Inference System (ANFIS).

机译:使用自适应神经模糊推理系统(ANFIS)在内窥镜手术中模拟异丙酚和瑞芬太尼组合的镇静镇痛效果。

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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 mug.mL(-1), 1.5 ng.mL(-1)) to (2.7 mug.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.
机译:背景:在胃肠内窥镜领域对麻醉程序的需求不断增加之后,并未为这些患者提供和控制镇静和镇痛的方法。在这项研究中,我们评估了通过靶控输注系统给药的丙泊酚和瑞芬太尼的不同组合,以评估最佳浓度以及控制在超声内窥镜检查中由药物组合引起的镇静作用的最佳方法。方法:将120例接受超声内镜检查的患者随机分配,通过靶控输注系统接受固定的作用位点浓度的丙泊酚或瑞芬太尼,其浓度可能为8种不同的浓度,从而可以调整另一种药物的浓度。预测的作用部位丙泊酚(C(e)pro)和瑞芬太尼(C(e)remi)浓度,源自听觉诱发电位,自回归听觉诱发电位指数(AAI / 2)和脑电图(双频谱指数[BIS]和指数)的参数使用自适应神经模糊推理系统收集,记录和分析在存在或不存在伤害性刺激的情况下的意识(IoC)信号以及镇静的分类评分(Ramsay镇静等级评分[RSS]评分)。使用中位数绝对性能误差(MDAPE)和中位数均方根误差(MDRMSE),针对C(e)pro和C(e)remi与AAI / 2,BIS和IoC之间的关系描述的模型被诊断为不准确。使用中位数性能误差(MDPE)来确定偏差。该模型已在68名接受丙泊酚和瑞芬太尼不同组合的新患者的前瞻性研究组中得到验证。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:在训练组中分析了110名患者的数据。所得的估计模型的MDAPE为32.87、12.89和8.77; MDRMSE为17.01、12.81和9.40;在没有刺激和刺激下相似值的情况下,AAI / 2,BIS和IoC的MDPE分别为-1.86、3.97和2.21。对于AAI / 2,BIS和IoC,P(k)值分别为0.82、0.81和0.85。该模型使用34.81、14.78和10.25的MDAPE预测了预期的验证数据; MDRMSE为16.81、15.91和11.81; MDPE为-8.37、5.65和-1.43; AAI / 2,BIS和IoC的P(k)值分别为0.81、0.8和0.8。结论:已经建立了将C(e)pro和C(e)remi与AAI / 2,BIS和IoC相关的模型,并进行了前瞻性验证。基于这些模型,提供4的RSS分数的(C(e)pro,C(e)remi)浓度对从(1.8马克杯.mL(-1),1.5 ng.mL(-1))到(2.7杯.mL(-1),0 ng.mL(-1))。这些浓度与25到30的AAI / 2值,71到75的BIS以及72到76的IoC相关。有害刺激的存在增加了C(e)pro和C(e)remi达到目标的需要。具有相同程度的镇静作用。

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