Use of Maximum End-Tidal CO2 Values to Improve End-Tidal CO2 Monitoring Accuracy

被引:11
作者
Galia, Fabrice [2 ,3 ]
Brimioulle, Serge
Bonnier, Frederic [5 ]
Vandenbergen, Nicolas [5 ]
Dojat, Michel [6 ]
Vincent, Jean-Louis [5 ]
Brochard, Laurent J. [1 ,2 ,3 ,4 ]
机构
[1] Univ Hosp Geneva, Intens Care Unit, CH-1211 Geneva 14, Switzerland
[2] Hop Henri Mondor, AP HP, F-94010 Creteil, France
[3] Hop Henri Mondor, INSERM, F-94010 Creteil, France
[4] Univ Paris Est, Creteil, France
[5] Univ Libre Bruxelles, Erasme hosp, Dept Intens Care, Brussels, Belgium
[6] Univ Grenoble 1, INSERM, Inst Neurosci, Grenoble, France
关键词
alveolar ventilation; capnometty; monitoring; mechanical ventilation; closed loop systems; weaning; OBSTRUCTIVE PULMONARY-DISEASE; CARBON-DIOXIDE; MECHANICAL VENTILATION; RESPIRATORY-FAILURE; CAPNOGRAPHY; PRESSURE; SUPPORT; SYSTEM; PCO2;
D O I
10.4187/respcare.00837
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
BACKGROUND: The arterial partial pressure of CO2 (P-aCO2) can be grossly estimated by the end-tidal partial pressure of CO2 (P-ETCO2). This principle is used in SmartCare (Drager, Lubeck, Germany), which is an automated closed-loop system that uses P-ETCO2 to estimate alveolar ventilation during mechanical ventilation. OBJECTIVE: To assess whether the maximum P-ETCO2, value (instead of the averaged P-ETCO2 value) over 2-min or 5-min periods improves P-aCO2 estimation, and determine the consequences for the SmartCare system. METHODS: We continuously monitored breath-by-breath P-ETCO2 during ventilation with SmartCare in 36 patients mechanically ventilated for various disorders, including 14 patients with COPD. Data were collected simultaneously from SmartCare recordings, every 2-min or 5 min, and through a dedicated software that recorded ventilation data every 10 s. We compared the maximum and averaged P-ETCO2 values over 2-min and 5-min periods to the P-aCO2 measured from 80 arterial blood samples clinically indicated in 26 patients. We also compared SmartCare's classifications of patient ventilatory status based on averaged P-ETCO2 values to what the classifications would have been with the maximum P-ETCO2 values. RESULTS: Mean P-aCO2 was 44 +/- 11 mm Hg. P-aCO2 was higher than averaged P-ETCO2 by 10 +/- 6 mm Hg, and this difference was reduced to 6 +/- 6 mm Hg with maximum P-ETCO2. The results were similar whether patients had COPD or not. Very few aberrant values (< 0.01%) needed to be discarded. Among the 3,137 classifications made by the SmartCare system, 1.6% were changed by using the maximum P-ETCO2 value instead of the averaged P-ETCO2 value. CONCLUSIONS: Use of maximum P-ETCO2 reduces the difference between P-aCO2 and P-ETCO2 and improves SmartCare's classification of patient ventilatory status.
引用
收藏
页码:278 / 283
页数:6
相关论文
共 19 条
[1]   Correlation of arterial PCO2 and PETCO2 in prehospital controlled ventilation [J].
Belpomme, V ;
Ricard-Hibon, A ;
Devoir, C ;
Dileseigres, S ;
Devaud, ML ;
Chollet, C ;
Marty, J .
AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2005, 23 (07) :852-859
[2]  
Bhat YR, 2008, SINGAP MED J, V49, P199
[3]   THE EFFECT OF AUTO-POSITIVE END-EXPIRATORY PRESSURE ON THE ARTERIAL END-TIDAL CARBON-DIOXIDE PRESSURE-GRADIENT AND EXPIRED CARBON-DIOXIDE SLOPE IN CRITICALLY ILL PATIENTS DURING TOTAL VENTILATORY SUPPORT [J].
BLANCH, L ;
FERNANDEZ, R ;
ARTIGAS, A .
JOURNAL OF CRITICAL CARE, 1991, 6 (04) :202-210
[4]   USE OF CAPNOGRAPHY IN DIAGNOSIS OF PULMONARY-EMBOLISM DURING ACUTE RESPIRATORY-FAILURE OF CHRONIC OBSTRUCTIVE PULMONARY-DISEASE [J].
CHOPIN, C ;
FESARD, P ;
MANGALABOYI, J ;
LESTAVEL, P ;
CHAMBRIN, MC ;
FOURRIER, F ;
RIME, A .
CRITICAL CARE MEDICINE, 1990, 18 (04) :353-357
[5]   Evaluation of a knowledge-based system providing ventilatory management and decision for extubation [J].
Dojat, M ;
Harf, A ;
Touchard, D ;
Laforest, M ;
Lemaire, F ;
Brochard, L .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 1996, 153 (03) :997-1004
[6]   Clinical evaluation of a computer-controlled pressure support mode [J].
Dojat, M ;
Harf, A ;
Touchard, D ;
Lemaire, F ;
Brochard, L .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2000, 161 (04) :1161-1166
[7]   NeoGanesh: a working system for the automated control of assisted ventilation in ICUs [J].
Dojat, M ;
Pachet, F ;
Guessoum, Z ;
Touchard, D ;
Harf, A ;
Brochard, L .
ARTIFICIAL INTELLIGENCE IN MEDICINE, 1997, 11 (02) :97-117
[8]   End tidal carbon dioxide monitoring in prehospital and retrieval medicine: a review [J].
Donald, M. J. ;
Paterson, B. .
EMERGENCY MEDICINE JOURNAL, 2006, 23 (09) :728-730
[9]  
Frakes M A, 2001, Crit Care Nurse, V21, P23
[10]  
Hess D, 1998, Principles and practice of intensive care monitoring, V1st, P377