Skip Navigation


BJA Advance Access originally published online on July 27, 2006
British Journal of Anaesthesia 2006 97(4):564-570; doi:10.1093/bja/ael178
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Supplementary data
Right arrow All Versions of this Article:
97/4/564    most recent
ael178v1
Right arrow E-Letters: Submit a response to the article
Right arrow Alert me when this article is cited
Right arrow Alert me when E-letters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (12)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Hardman, J. G.
Right arrow Articles by Wills, J. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hardman, J. G.
Right arrow Articles by Wills, J. S.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?


© The Board of Management and Trustees of the British Journal of Anaesthesia 2006. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

The development of hypoxaemia during apnoea in children: a computational modelling investigation

J. G. Hardman1,* and J. S. Wills2

1 University Department of Anaesthesia, Queen's Medical Centre Nottingham NG7 2UH, UK
2 Department of Anaesthesia, Southmead Hospital Westbury-on-Trym, Bristol BS10 5NB, UK

*Corresponding author. E-mail: j.hardman{at}nottingham.ac.uk

Accepted for publication May 2, 2006.


    Abstract
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Supplementary data
 References
 
Background. Hypoxaemia during apnoea develops earlier and progresses faster in children than in adults. Ethical and practical considerations prevent detailed investigation of the issue.

Methods. We used the Nottingham Physiology Simulator, an integrated, computational model of the respiratory and cardiovascular systems, to model four healthy virtual children (ages: 1 month, 1, 8 and 18 yr) and exposed them to apnoea after a variety of preoxygenation periods (0, 1 and 3 min) and with open and obstructed airways during apnoea.

Results. The rate of oxygen desaturation of haemoglobin from 90 to 40% was similar across the ages studied, being ~30% min–1. The greatest difference between ages was found in the speed of early desaturation (i.e. between the onset of apnoea and the acceleration of haemoglobin desaturation); in the absence of preoxygenation and with an open airway, this time was 6.6 s in the 1-month-old and 33.6 s in the 8-yr-old.

Conclusions. Preoxygenation had a substantial effect on the speed of early desaturation, but less effect on the time for Formula to decrease from 90 to 40%. Preoxygenation substantially delayed dangerous desaturation in all age groups, although the rapidity of denitrogenation in the very young (caused by the large ratio of minute ventilation to functional residual capacity) resulted in lengthy preoxygenation having little benefit over brief preoxygenation. Airway obstruction during apnoea accelerated every child's hypoxaemia through prevention of mass flow addition to oxygen stores and through intrathoracic depressurization. On average, haemoglobin desaturation from Formula 90 to 40% was 33% min–1 with an obstructed airway and 26% min–1 with an open airway; all ages were similarly susceptible to this effect.

Keywords: complications, hypoxaemia; model, computer simulation; model, lung; oxygen, saturation; oxygen, uptake; ventilation, apnoea; ventilation, obstruction


    Introduction
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Supplementary data
 References
 
It is well recognized that young children develop hypoxaemia more quickly than adults during apnoea. However, effective preoxygenation is more difficult to achieve in this age group compared with adults and the subsequent management of the airway can be challenging. A precise understanding of the time course of hypoxaemia development, and how it is affected by the age of the child, would be invaluable to the paediatric anaesthetist. There are clear ethical reasons why such data are difficult to obtain in vivo but there is a core of research into the respiratory physiology of the child that allows use of the Nottingham Physiology Simulator (NPS) to predict the course of hypoxaemia in a variety of situations involving apnoea. The NPS is a validated predictor of the course of hypoxaemia in adults during apnoea and has been used successfully to predict the effects of preoxygenation, functional residual capacity, oxygen consumption (Formula), airway patency, pulmonary deadspace and shunt during apnoea.1,2

We aimed to determine the influence of age, preoxygenation and airway management on the rate of progression of hypoxaemia during apnoea in children.


    Methods
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Supplementary data
 References
 
The NPS is a free-standing computational simulator that has been described in previous papers.17 Version 251105 was used in this investigation; it is available for download through the corresponding author. The NPS is a multicompartmental computational model that uses an iterative technique to simulate integrated respiratory and cardiovascular pathophysiological scenarios.

Four virtual patients of ages 1 month, 1, 8 and 18 yr were created. Physiological variables pertaining to oxygen uptake, storage and distribution to the tissues were calculated for each virtual patient using data from previously published papers818 and were used to configure the NPS to create a simulation of each patient; the physiological values used are provided in Table 1.


View this table:
[in this window]
[in a new window]

 
Table 1 Baseline physiological values for the ages examined. Values for ages 0–8 yr are similar for girls and boys; values for 18-yr-olds are obtained from boys

 
Each virtual patient underwent apnoea with an obstructed airway after preoxygenation periods of 0, 1 and 3 min until arterial oxygen saturation reached 40%. These apnoeic episodes were repeated in each virtual patient (after 0, 1 and 3 min preoxygenation) with the airway open to 21% oxygen in nitrogen. Thus, in total, the four virtual patients were each exposed to six apnoeic periods.

The following data were collected during preoxygenation and apnoea: Formula, Formula and intrathoracic pressure. The following data were derived: time from start of apnoea to Formula 90%, time from Formula 90 to 40% and the time of Formula inflection; the latter was defined as the time at which the rate of decrease of Formula was half the value seen at the end of apnoea. The value seen at the end of apnoea was, in all cases, the maximal value, and the inflection point represents the point at which Formula began to decrease rapidly.


    Results
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Supplementary data
 References
 
Figures 1 and 2 show the course of Formula over time during preoxygenation and apnoea. Figures 3 and 4 show the course of Formula over time during preoxygenation and apnoea.


Figure 1
View larger version (12K):
[in this window]
[in a new window]
[Download PowerPoint slide]
 
Fig 1 The time course of Formula during preoxygenation and apnoea in children with an open airway. The vertical dashed line shows the start of apnoea. Durations of preoxygenation are shown in Panels A, B and C: A, 0 min; B, 1 min; C, 3 min.

 

Figure 2
View larger version (12K):
[in this window]
[in a new window]
[Download PowerPoint slide]
 
Fig 2 The time course of Formula during preoxygenation and apnoea in children with an obstructed airway. The vertical dashed line shows the start of apnoea. Durations of preoxygenation are shown in Panels A, B and C: A, 0 min; B, 1 min; C, 3 min.

 

Figure 3
View larger version (10K):
[in this window]
[in a new window]
[Download PowerPoint slide]
 
Fig 3 The time course of Formula during preoxygenation and apnoea in children with an open airway. The vertical dashed line shows the start of apnoea. Durations of preoxygenation are shown in Panels A, B and C: A, 0 min; B, 1 min; C, 3 min.

 

Figure 4
View larger version (10K):
[in this window]
[in a new window]
[Download PowerPoint slide]
 
Fig 4 The time course of Formula during preoxygenation and apnoea in children with an obstructed airway. The vertical dashed line shows the start of apnoea. Durations of preoxygenation are shown in Panels A, B and C: A, 0 min; B, 1 min; C, 3 min.

 
The times from onset of apnoea to Formula 90% and Formula 40% are presented in Table 2. The time to the Formula inflection point and the Formula at this point are shown in Table 3. The intrathoracic pressures at the time when Formula was 40% are shown in Table 4.


View this table:
[in this window]
[in a new window]

 
Table 2 Minutes from start of apnoea to Formula 90% (early), from Formula 90 to 40% (late) and from start of apnoea to Formula 40% (total)

 

View this table:
[in this window]
[in a new window]

 
Table 3 Minutes from start of apnoea to SaO2 inflection [Ti (min)] and value of SaO2 at inflection Formula (%)

 

View this table:
[in this window]
[in a new window]

 
Table 4 Intrathoracic pressure (kPa) when Formula reaches 40% during apnoea with closed airway

 
The maximum values of Formula after a 1 min preoxygenation in the 1 month, 1, 8 and 18 yr olds were 74, 73, 71 and 62 kPa, respectively; after a 3 min preoxygenation, the corresponding maximum values were 77, 79, 80 and 81 kPa (Fig. 1C).


    Discussion
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Supplementary data
 References
 
This study concentrates on one specific and common situation—that of a child rendered apnoeic. This frequently follows induction of anaesthesia, and may be accompanied by airway obstruction. It is well recognized that hypoxaemia occurs more rapidly in children, especially in the very young, and in patients with an obstructed airway.1927 Additional issues make desaturation even more likely in children than in adults. First, airway management, by facemask, laryngeal mask or tracheal intubation, is frequently more difficult in children and, second, it is often more difficult to achieve effective preoxygenation in the young child.

The clinical impression that the development of hypoxaemia is substantially faster in young children19,21 is supported by the results of this investigation (Figs 1AC and 2AC; Tables 2 and 3); the rate of reduction Formula in over the course of closed airway apnoea after preoxygenation was 22 kPa min–1 in the 1-month-old child, three times greater than that in the 18-yr-old (7.5 kPa min–1). The decline of Formula over time is much less linear than that of Formula, so it is less meaningful to present an average decline in. However, it was noted that once 90% Formula was passed the rate of decline in Formula was similar between ages (Table 2); the majority of the difference in the speed of haemoglobin desaturation between ages was between the onset of apnoea and 90% Formula, with younger children reaching 90% Formula typically three times faster than older children (Table 2).

The Formula inflection point is that point during apnoea when haemoglobin desaturation accelerates significantly. We defined this as the time at which Formula decline reached 50% of the relatively constant terminal rate (Figs 2AC and 3AC). The inflection point was between Formula values of 95 and 98% in almost all scenarios (Table 3). The 1-month-old child reached this inflection point very rapidly; in the absence of preoxygenation, desaturation accelerated after only 6.6 s of apnoea. It was in the time from the onset of apnoea to the inflection point that we observed the largest difference between ages (Table 3); typically, the 1-month-old reached the inflection point four times faster than the 18-yr-old. Beyond the inflection point, the rate of decline in Formula was relatively constant, being ~33% min–1 with a closed airway and 26% min–1 with an airway open to air.

The rate of decline of Formula increases from zero to ~30% min–1 in a short period during apnoea. In clinical practice, oximeter alarms typically are set to trigger at Formula values of 90–94%. We suggest that by this time Formula is decreasing at its maximal rate, the inflection point having been passed at 94–98% Formula. Even when sudden and severe haemoglobin desaturation is close, the Formula can still be above 95%.

Figures 14 show the benefit of preoxygenation in children (compare Panel A with Panel C in each figure). After preoxygenation for 1 or 3 min, the Formula reaches 62–80 kPa in all age groups. A 1 min preoxygenation in the neonate is almost as effective in increasing Formula as 3 min (Formula 74 kPa after 1 min vs 77 kPa after 3 min), because of the neonate's larger minute ventilation to functional residual capacity (FRC) ratio and lower maximal Formula. The difference observed in the 18-yr-old is a more clinically useful 19 kPa (62 vs 81 kPa). However, the 1 min preoxygenation in the neonate substantially extends the safe duration of apnoea, despite the relatively small FRC in this age group (Table 3); a 1 min preoxygenation in the 1-month-old extended the time from the start of apnoea to Formula 40% by 94 s (closed airway) and 124 s (open airway); an extra 2 min of preoxygenation in the 1-month-old added only 22 s (closed airway) or 44 s (open airway) to the time to Formula 40%.

Comparison between Figures 1 and 2 and between Figures 3 and 4 demonstrates the benefit of maintaining an airway after the onset of apnoea; the open airway allows the net loss of intra-alveolar volume to draw ambient gas into the lungs.2 28 29 In this investigation, the airway was open to 21% oxygen. It would be expected that if the airway was open to 100% oxygen the effects would be more marked, as in adults.2 3 29 Of interest is the finding that the early decline in Formula is faster when the airway is open, while the later decline is faster when the airway is closed. This is caused by early mass flow of nitrogen into the alveoli via an open airway, diluting the oxygen stores in the preoxygenated alveoli. When the airway is closed, reduction in intra-alveolar pressure compounds the effect on the Formula of the late reduction in alveolar oxygen fraction because the alveolar oxygen tension is the product of the intra-alveolar pressure and the alveolar oxygen fraction. Such depressurization (Table 4) may be an important factor in closed airway desaturation during apnoea. Opening such an airway would result in a single, passive inhalation, which could provide useful reoxygenation, especially if supplemental oxygen was supplied; this will be the subject of further investigation.

This investigation is limited in a number of ways. First, our use of a theoretical model means that our findings have to be extrapolated to the clinical environment. However, we have exposed the model to validation previously1,2 and we have performed specific validation of the NPS for this investigation; this further validation of the model with respect to apnoea in children is presented as supplementary data online in Appendix 1 (see British Journal of Anaesthesia online). Second, we have examined only healthy virtual children. We recognize that various pathologies, such as an increase in oxygen consumption (e.g. pyrexia) or a reduction in haemoglobin concentration or functional residual capacity may cause substantial variations in the expected rate of desaturation during apnoea; indeed the prevalence of childhood obesity is increasing and we may anticipate that this increasingly relevant pathology will hasten hypoxaemia during apnoea. The effects of such pathophysiological variation on apnoeic desaturation have been considered previously,3 and we may extrapolate these previous findings to the virtual children studied in this investigation. Third, clinical scenarios are seldom as simple as those studied in this investigation. We appreciate that the airway will rarely remain open or obstructed throughout apnoea, and that there will be periods of exposure of the airway to oxygen and air. However, we have illustrated idealized/simplified scenarios; more complex combinations of factors may be extrapolated from these data. Finally, we have examined the effect of apnoea to the eventual scenario of reaching 40%. This does not represent death or even serious morbidity; in some children, harm could result from this level of hypoxaemia, but in the majority, no harm would result. Our modelling does not allow us to identify the timing of organ injury, and so we cannot specify how long after the point of Formula 40% the child would be injured. However, we have illustrated that the decline in Formula is effectively linear at this late stage (being ~30% min–1), so harm would result soon after this time in all the scenarios investigated if the apnoea is not terminated.

In summary, our modelling investigation confirms the clinical impression that young children become hypoxaemic more quickly during apnoea than adults. Preoxygenation delays this hypoxaemia, although prolonged preoxygenation in the very young seems to offer little benefit. Airway obstruction hastens hypoxaemia at all ages through denial of passive gas inflow and thoracic depressurization. The majority of the variability in the rate of desaturation between older and younger children appears to occur in the early stages of hypoxaemia (while Formula remains in the 94–98% range), and the rate of desaturation after 90% Formula seems relatively constant, being ~30% min–1.


    Supplementary data
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Supplementary data
 References
 
Appendix 1 and its accompanying figure can be found in British Journal of Anaesthesia online.


    References
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Supplementary data
 References
 
1 Hardman JG, Wills JS, Aitkenhead AR. Investigating hypoxaemia during apnoea: validation of a set of physiological models. Anesth Analg 2000; 90:614–8[Abstract/Free Full Text]

2 McNamara MJ and Hardman JG. Hypoxaemia during open-airway apnoea: a computational modelling analysis. Anaesthesia 2005; 60:741–6[CrossRef][Web of Science][Medline]

3 Hardman JG, Wills JS, Aitkenhead AR. Factors determining the onset and course of hypoxaemia during apnoea: an investigation using physiological modelling. Anesth Analg 2000; 90:619–24[Abstract/Free Full Text]

4 Hardman JG, Bedforth NM, Ahmed AB, et al. A physiology simulator: validation of its respiratory components and its ability to predict the patient's response to changes in mechanical ventilation. Br J Anaesth 1998; 81:327–32[Abstract/Free Full Text]

5 Hardman JG and Bedforth NM. Estimating venous admixture using a physiological simulator. Br J Anaesth 1999; 82:346–9[Abstract/Free Full Text]

6 Bedforth NM and Hardman JG. Predicting patients' responses to changes in mechanical ventilation: a comparison between physicians and a physiological simulator. Int Care Med 1999; 25:839–42[CrossRef][Web of Science][Medline]

7 Hardman JG and Aitkenhead AR. Estimation of alveolar deadspace fraction using arterial and end-tidal CO2: a factor analysis using a physiological simulation. Anaesth Intensive Care 1999; 27:452–8[Web of Science][Medline]

8 Linderkamp O, Versmold HT, Riegel KP, Betke K. Estimation and prediction of blood volume in infants and children. Eur J Pediatr 1977; 125:227–34[CrossRef][Web of Science][Medline]

9 Owen GM, Lubin AH, Garry BJ. Hemoglobin levels according to age, race, and transferrin saturation in preschool children of comparable socioeconomic status. J Pediatr 1973; 82:850[CrossRef][Web of Science][Medline]

10 Dallman PR, Barr GD, Allen CM, Shinefield HR. Hemoglobin concentration in white, black, and Oriental children: is there a need for separate criteria in screening for anemia? Am J Clin Nutr 1978; 31:377–80[Abstract/Free Full Text]

11 Thorsteinsson A, Jonmarker C, Larsson A, Vilstrup C, Werner O. Functional residual capacity in anesthetized children: normal values and values in children with cardiac anomalies. Anesthesiology 1990; 73:876–81[Web of Science][Medline]

12 Lindahl SG. Oxygen consumption and carbon dioxide elimination in infants and children during anaesthesia and surgery. Br J Anaesth 1989; 62:70–6[Abstract/Free Full Text]

13 Ingimarsson J, Thorsteinsson A, Larsson A, Werner O. Lung and chest wall mechanics in anesthetized children: influence of body position. Am J Respir Crit Care Med 2000; 162:412–7[Abstract/Free Full Text]

14 Walther FJ, Siassi B, Ramadan NA, Ananda AK, Wu PY. Pulsed doppler determinations of cardiac output in neonates: normal standards for clinical use. Pediatrics 1985; 76:829–33[Abstract/Free Full Text]

15 Pongpanich B, Ritter DG, Ongley PA. Hemodynamic findings in children without significant heart disease. Mayo Clin Proc 1969; 44:13–24[Web of Science][Medline]

16 Sproul A and Simpson E. Stroke volume and related hemodynamic data in normal children. Pediatrics 1964; 33:912–8[Abstract/Free Full Text]

17 Mosteller RD. Simplified calculation of body-surface area. N Engl J Med 1987; 317:1098[Web of Science][Medline]

18 Pillow JJ, Ljungberg H, Hulskamp G, Stocks J. Functional residual capacity measurements in healthy infants: ultrasonic flow meter versus a mass spectrometer. Eur Respir J 2004; 23:763–8[Abstract/Free Full Text]

19 Laycock GJA and McNichol LR. Hypoxaemia during induction of anaesthesia: an audit of children who underwent general anaesthesia for routine elective surgery. Anaesthesia 1988; 43:981–4[Web of Science][Medline]

20 Dupeyrat A, Dubreuil M, Ecoffey C. Preoxygenation in children. Anesth Analg 1994; 79:1027[Free Full Text]

21 Cote CJ, Rolf N, Liu LMP, et al. A single-blind study of combined pulse oximetry and capnography in children. Anesthesiology 1991; 74:980–7[Web of Science][Medline]

22 Kinouchi K, Fukumitsu K, Tashiro C, Takauchi Y, Ohashi Y, Nishida T. Duration of apnoea in anesthetized children required for desaturation of hemoglobin to 95%: comparison of three different breathing gases. Paediatr Anaesth 1995; 5:115–9[Web of Science][Medline]

23 Videira RLR, Neto PPR, Gomide do Amaral RV, Freeman JA. Preoxygenation in children: how long? Acta Anaesthesiol Scand 1992; 36:109–11[Web of Science][Medline]

24 Xue FS, Tong SY, Wang XL, Deng XM, An G. Study of the optimal duration of preoxygenation in children. J Clin Anesth 1995; 7:93–6[CrossRef][Web of Science][Medline]

25 Butler PJ, Monro HM, Kenny MB. Preoxygenation in children using expired oxygraphy. Br J Anaesth 1996; 77:3333–4

26 Morrison JE, Collier E, Friesen RH, Logan L. Preoxygenation before laryngoscopy in children: how long is enough? Paediatr Anaesth 1998; 8:293–8[CrossRef][Web of Science][Medline]

27 Xue FS, Tong SY, Wang XL, Deng XM, An G. Study of the optimal duration of preoxygenation in children. J Clin Anesth 1995; 7:93–6[CrossRef][Web of Science][Medline]

28 Frumin MJ, Epstein RM, Cohen G. Apnoeic oxygenation in man. Anesthesiology 1959; 20:789–98[Web of Science][Medline]

29 Holmdahl MH. Pulmonary uptake of oxygen, acid-base metabolism, and circulation during prolonged apnoea. Acta Chir Scand 1956; 212:Suppl, 1–128


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Contin Educ Anaesth Crit Care PainHome page
R. Sirian and J. Wills
Physiology of apnoea and the benefits of preoxygenation
CEACCP, August 1, 2009; 9(4): 105 - 108.
[Full Text] [PDF]


Home page
Br J AnaesthHome page
J. G. Hardman, I. K. Moppett, and R. P. Mahajan
Validity, credibility, and applicability: the rise and rise of the surrogate
Br. J. Anaesth., November 1, 2008; 101(5): 595 - 596.
[Full Text] [PDF]


Home page
Br J AnaesthHome page
R. A. McCahon, M. O. Columb, R. P. Mahajan, and J. G. Hardman
Validation and application of a high-fidelity, computational model of acute respiratory distress syndrome to the examination of the indices of oxygenation at constant lung-state
Br. J. Anaesth., September 1, 2008; 101(3): 358 - 365.
[Abstract] [Full Text] [PDF]


Home page
Br J AnaesthHome page
G. M. Edward, S. F. Das, S. G. Elkhuizen, P. J. M. Bakker, J. A. M. Hontelez, M. W. Hollmann, B. Preckel, and L. C. Lemaire
Simulation to analyse planning difficulties at the preoperative assessment clinic
Br. J. Anaesth., February 1, 2008; 100(2): 195 - 202.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Supplementary data
Right arrow All Versions of this Article:
97/4/564    most recent
ael178v1
Right arrow E-Letters: Submit a response to the article
Right arrow Alert me when this article is cited
Right arrow Alert me when E-letters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (12)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Hardman, J. G.
Right arrow Articles by Wills, J. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hardman, J. G.
Right arrow Articles by Wills, J. S.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?