Automating the weaning process with advanced closed-loop systems

被引:54
作者
Burns, Karen E. A. [1 ,2 ]
Lellouche, Francois [3 ]
Lessard, Martin R. [4 ,5 ]
机构
[1] Univ Toronto, St Michaels Hosp, R Samuel McLaughlin Fdn, Li Ka Shing Knowledge Inst,Keenan Res Ctr, Toronto, ON M5B 1W8, Canada
[2] Univ Toronto, Interdepartmental Div Crit Care Med, Toronto, ON M5B 1W8, Canada
[3] Univ Laval, Inst Univ Cardiol & Pneumol, Hop Laval, Ctr Rech,Dept Crit Care, Quebec City, PQ, Canada
[4] Univ Laval, Hop Enfant Jesus, Dept Anesthesia, Quebec City, PQ, Canada
[5] Univ Laval, Hop Enfant Jesus, Dept Crit Care, Quebec City, PQ, Canada
基金
加拿大健康研究院;
关键词
D O I
10.1007/s00134-008-1154-0
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background: Limiting the duration of invasive ventilation is an important goal in caring for critically ill patients. Several clinical trials have shown that compared to traditional care, protocols can reduce the total duration of mechanical ventilation. Computerized or automated weaning has the potential to improve weaning, while decreasing associated workload, and to transfer best evidence into clinical practice by integrating closed-loop technology into protocols that can be operationalized continuously. Discussion: In this article, we review the principles of automated systems, discuss automated systems that can be used during weaning, and examine the best-current evidence from randomized trials and observational studies supporting their use. We highlight three commercially available systems (Mandatory Minute Ventilation, Adaptive Support Ventilation and SmartCare (TM)) that can be used to automate the weaning process. We note advantages and disadvantages associated with individual weaning systems and differences among them. Conclusions: We discuss the potential role for automation in complimenting clinical acumen, reducing practice pattern variation and facilitating knowledge translation into clinical practice, and underscore the need for additional high quality investigations to evaluate automated weaning systems in different practice settings and diverse patient populations.
引用
收藏
页码:1757 / 1765
页数:9
相关论文
共 52 条
[1]   Automatic selection of breathing pattern using adaptive support ventilation [J].
Arnal, Jean-Michel ;
Wysocki, Marc ;
Nafati, Cyril ;
Donati, Stephane ;
Granier, Isabelle ;
Corno, Gaelle ;
Durand-Gasselin, Jacques .
INTENSIVE CARE MEDICINE, 2008, 34 (01) :75-81
[2]   Double-heater-wire circuits and heat-and-moisture exchangers and the risk of ventilator-associated pneumonia [J].
Boots, RJ ;
George, N ;
Faoagali, JL ;
Druery, J ;
Dean, K ;
Heller, RF .
CRITICAL CARE MEDICINE, 2006, 34 (03) :687-693
[3]   Computer-driven management of prolonged mechanical ventilation and weaning:: a pilot study [J].
Bouadma, L ;
Lellouche, F ;
Cabello, B ;
Taillé, S ;
Mancebo, J ;
Dojat, M ;
Brochard, L .
INTENSIVE CARE MEDICINE, 2005, 31 (10) :1446-1450
[4]  
Bouadma L, 2002, INTENS CARE MED, V28, pS23
[5]  
Branson R D, 2001, Respir Care, V46, P232
[6]   COMPARISON OF 3 METHODS OF GRADUAL WITHDRAWAL FROM VENTILATORY SUPPORT DURING WEANING FROM MECHANICAL VENTILATION [J].
BROCHARD, L ;
RAUSS, A ;
BENITO, S ;
CONTI, G ;
MANCEBO, J ;
REKIK, N ;
GASPARETTO, A ;
LEMAIRE, F .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 1994, 150 (04) :896-903
[7]  
Brunner J X, 2001, Respir Care Clin N Am, V7, P341, DOI 10.1016/S1078-5337(05)70040-X
[8]   SIMPLE METHOD TO MEASURE TOTAL EXPIRATORY TIME CONSTANT BASED ON THE PASSIVE EXPIRATORY FLOW-VOLUME CURVE [J].
BRUNNER, JX ;
LAUBSCHER, TP ;
BANNER, MJ ;
IOTTI, G ;
BRASCHI, A .
CRITICAL CARE MEDICINE, 1995, 23 (06) :1117-1122
[9]   NEWER MODES OF MECHANICAL VENTILATORY SUPPORT [J].
CAMERON, PD ;
OH, TE .
ANAESTHESIA AND INTENSIVE CARE, 1986, 14 (03) :258-266
[10]   Clinical experience with adaptive support ventilation for fast-track cardiac surgery [J].
Cassina, T ;
Chioléro, R ;
Mauri, R ;
Revelly, JP .
JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA, 2003, 17 (05) :571-575