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From the Department of Anesthesia, Christchurch Hospital, Christchurch, New Zealand.
Address correspondence to: Dr. R.A. French, Department of Anesthesia, Christchurch Hospital, Riccarton Avenue, Christchurch, New Zealand. Phone: 03 364 0288; Fax: 03 364 0289; E-mail: anaesthesia{at}chmeds.ac.nz
| Abstract |
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Clinical features: A patient undergoing shoulder surgery was breathing spontaneously from a circle type anesthesia circuit via a laryngeal mask. A disconnection occurred between the heat and moisture exchanger (HME) and the circle system's Y-piece. As the gas sampling port was integrated into the HME a near normal pattern of CO2 continued to be displayed. The disconnection was noted because of a change in the graphical display of the volatile agent concentration.
Conclusions: Anesthetic circuit disconnection can be difficult to detect, especially in the spontaneously breathing patient. Capnometry may not detect a disconnection on the machine side of the gas sampling port. Changes in oxygen and volatile agent concentrations may provide an early indication of these types of disconnection.
| Introduction |
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| Case report |
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At 30 min from commencement of the case, an abrupt fall in both the inspired and expired concentrations of sevoflurane was noted. It is our practice to display volatile anesthetic agent concentration as a "slow" waveform, thus one screen "sweep" represents a five minute trend. From this display it was immediately apparent that the agent concentration had fallen to about half its previous value (Figure 1
). Further observation revealed that the circuit breathing gas reservoir had collapsed, the FIO2 had fallen to 23% and no tidal volume was being shown in the numeric display of spirometry data.
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| Discussion |
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In our case, several changes in measured gas concentrations occurred, all of which could be predicted. There was a marked fall in inspired and expired concentrations of the volatile anesthetic and O2, a rise in FICO2, and a fall in measured tidal volume (Figures 1 and 3![]()
). None of these changes triggered an alarm in the brief period of the incident. The change that alerted the anesthesiologist was the abrupt fall in sevoflurane concentration as shown on the monitor trace. The changes in inspired and expired sevoflurane followed a pattern similar to the changes in oxygen concentration. The fall in sevoflurane was more noticeable than the fall in O2 because it was a larger proportional change and also because it was being displayed as a"trend" graph, whereas the O2 concentrations were presented as numbers representing only instantaneous values. There is good evidence that a simple trend display,4 or more complex graphical displays5,6 aid in the detection of critical incidents. Alarm systems that integrate data from multiple variables may be better at detecting disconnections than alarms based on single parameters.7
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This disconnection occurred between two components of the circuit which are not normally assembled by the anesthesiologist. The fact that the disconnection occurred without an obvious precipitant suggests that the initial connection of these components may not have been "tight". This problem could possibly be avoided by designing a single piece circuit or using locking devices to secure the joints in a conventional circuit. Such devices have been described but can be bulky and do not fully eliminate the risk of disconnection.1
This case demonstrates a number of points. Disconnections do occur, especially when surgery is near the head. Any joint in the circuit may be the point of disconnection and diligence should be applied to ensuring these are "tight", especially if they are concealed from the anesthesiologist's view. Capnometry may not detect disconnections on the machine side of the gas sampling port since the spontaneously breathing patient will continue to produce and expire CO2. Changes in oxygen and volatile agent concentrations may provide an early indication of some types of disconnection. Alarms based on multiple variables may detect disconnections in situations where multiple alarms each based on a single parameter do not. Finally, changes in data presented graphically may be more obvious than a change in data displayed only as the current numeric value.
Revision received April 18, 2001. Accepted for publication December 19, 2000.
| References |
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2 Russell WJ, Webb RK, Van Der Walt JH, Runciman WB. Problems with ventilation: an analysis of 2000 incident reports. Anaesth Intens Care 1993; 21: 61720.[Medline]
3 French RA, Kennedy RR. Disconnect alarm failure in detection of common gas outlet disconnection. Anaesth Intens Care 1998; 26: 66570.[Medline]
4 Murchie CJ, Kenny GN. Comparison among manual, computer-assisted and closed-loop control of blood pressure after cardiac surgery. J Cardiothoracic Anesth 1989; 3:169.[Medline]
5 Michels P, Gravenstein D, Westenskow DR. An integrated graphic data display improves detection and identification of critical events during anesthesia. J Clin Monit 1997; 13: 24959.[Medline]
6 Blike GT, Surgenor SD, Whalen K. A graphical object display improves anesthesiologists' performance on a simulated diagnostic task. J Clin Monit Comput 1999; 15: 3744.[Medline]
7 Orr JA, Westenskow DR. A breathing circuit alarm system based on neural networks. J Clin Monit 1994; 10: 1019.[Medline]
8 Block FE, Nuutinen L, Ballast B. Optimization of alarms: a study on alarm limits, alarm sounds, and false alarms, intended to reduce annoyance. J Clin Monit Comput 1999; 15: 7583.[Medline]
9 Gravenstein JS. Monitoring with our good senses (Editorial). J Clin Monit Comput 1998; 14: 4513.[Medline]
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S. Dain Breathing circuit disconnections: averting catastrophies/Les deconnexions du circuit respiratoire : eviter le pire Can J Anesth, October 1, 2001; 48(9): 840 - 843. [Full Text] [PDF] |
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