Reducing propofol waste during TIVA by pre-operative estimation of requirement: A single-center retrospective analysis

IF 6 2区 医学 Q1 ANESTHESIOLOGY
Journal of Clinical Anesthesia Pub Date : 2026-03-01 Epub Date: 2026-02-19 DOI:10.1016/j.jclinane.2026.112160
Florian Windler , George Zhong , Mark Coburn , Xiabing Xu , Florian Piekarski , Philippe Kruse , Birgit Bette , Pascal Siegert
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引用次数: 0

Abstract

Objective

To evaluate whether estimating propofol requirement before surgery using a target-controlled infusion (TCI) model-based algorithm could reduce waste whilst maintaining workflow.

Design

Retrospective cohort study with in silico TCI-TIVA simulations using the Eleveld model at fixed effect-site targets (Cet 2.5–4.0 μg.ml−1) or a Cet corresponding to an estimated BIS of 45 (ECBIS45). Monte-Carlo simulation examined uncertainty in surgical duration estimates.

Setting

University tertiary care provider.

Patients

229 adult patients undergoing general anesthesia with conventional propofol TIVA with manually adjusted infusion rate.

Measurements

Primary endpoint: predicted propofol amount for TCI and waste associated with three drawing-up strategies (50 ml vial only, 20 ml vial only, and vial combination based on estimated requirements). Secondary endpoint: relative number of syringe changes.

Main results

Propofol requirements predicted using Cet 3.0 and ECBIS45 were similar to actual consumption. Algorithm-guided drawing-up produced significantly lower predicted waste than conventional TIVA practice (p < 0.0001, CI = −61.0 to −27.0 mg/procedure for Cet 3.0; p = 0.001, CI = −60.0 to −26.7 mg/procedure for ECBIS45), comparable to the 20 ml vial-only strategy but requiring fewer syringe changes. Waste remained significantly lower despite surgical duration estimation errors up to 20% for Cet 3.0 (p = 0.007) and 30% for ECBIS45 (p = 0.01).

Conclusions

Using the Eleveld TCI model to estimate pre-operative propofol requirements could significantly reduce waste and avoid excessive syringe changes, even when surgical duration is uncertain.

Abstract Image

通过术前需求评估减少TIVA期间异丙酚的浪费:一项单中心回顾性分析。
目的:评价应用基于靶控输注(TCI)模型的算法预估术前异丙酚需药量能否在保持工作流程的同时减少浪费。设计:回顾性队列研究,采用固定效应位点靶点(Cet 2.5-4.0 μg.ml-1)或Cet对应的估计BIS为45 (ECBIS45)的Eleveld模型进行计算机TCI-TIVA模拟。蒙特卡罗模拟检验了手术持续时间估计的不确定性。背景:大学三级医疗机构。患者:229例成人全麻患者,采用人工调节输注速率的常规异丙酚TIVA。测量:主要终点:三种配制策略(仅50毫升小瓶、仅20毫升小瓶和基于估计需求的小瓶组合)对TCI中异丙酚的预测用量和浪费。次要终点:更换注射器的相对次数。主要结果:使用Cet 3.0和ECBIS45预测异丙酚需用量与实际用量相近。与传统的TIVA做法(p BIS45)相比,算法引导的绘制产生的预测浪费明显更低,与仅使用20毫升小瓶的策略相当,但需要更换注射器的次数更少。尽管Cet 3.0的手术时间估计误差高达20% (p = 0.007), ECBIS45的手术时间估计误差高达30% (p = 0.01),但浪费仍然显著降低。结论:即使在手术时间不确定的情况下,使用Eleveld TCI模型估计术前异丙酚需用量可以显著减少浪费,避免过多的注射器更换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.40
自引率
4.50%
发文量
346
审稿时长
23 days
期刊介绍: The Journal of Clinical Anesthesia (JCA) addresses all aspects of anesthesia practice, including anesthetic administration, pharmacokinetics, preoperative and postoperative considerations, coexisting disease and other complicating factors, cost issues, and similar concerns anesthesiologists contend with daily. Exceptionally high standards of presentation and accuracy are maintained. The core of the journal is original contributions on subjects relevant to clinical practice, and rigorously peer-reviewed. Highly respected international experts have joined together to form the Editorial Board, sharing their years of experience and clinical expertise. Specialized section editors cover the various subspecialties within the field. To keep your practical clinical skills current, the journal bridges the gap between the laboratory and the clinical practice of anesthesiology and critical care to clarify how new insights can improve daily practice.
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