Factors complicating interpretation of capnography during advanced life support in cardiac arrest—A clinical retrospective study in 575 patients
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Dół formularza
Received 21 November 2011; received in revised form 7 February 2012; accepted 15 February 2012. published online 27 February 2012.
Article Outline
Abstract
Background
End tidal carbon dioxide (ETCO2) monitoring during advanced life support (ALS) using capnography, is recommended in the latest international guidelines. However, several factors might complicate capnography interpretation during ALS. How the cause of cardiac arrest, initial rhythm, bystander cardiopulmonary resuscitation (CPR) and time impact on the ETCO2 values are not completely clear. Thus, we wanted to explore this in out-of-hospital cardiac arrested (OHCA) patients.
Methods
The study was carried out by the Emergency Medical Service of Haukeland University Hospital, Bergen, Norway. All non-traumatic OHCAs treated by our service between January 2004 and December 2009 were included. Capnography was routinely used in the study, and these data were retrospectively reviewed together with Utstein data and other clinical information.
Results
Our service treated 918 OHCA patients, and capnography data were present in 575 patients. Capnography distinguished well between patients with or without return of spontaneous circulation (ROSC) for any initial rhythm and cause of the arrest (p
<
0.001). Cardiac arrests with a respiratory cause had significantly higher levels of ETCO2 compared to primary cardiac causes (p
<
0.001). Bystander CPR affected ETCO2-recordings, and the ETCO2 levels declined with time.
Conclusions
Capnography is a useful tool to optimise and individualise ALS in cardiac arrested patients. Confounding factors including cause of cardiac arrest, initial rhythm, bystander CPR and time from cardiac arrest until quantitative capnography had an impact on the ETCO2 values, thereby complicating and limiting prognostic interpretation of capnography during ALS.
Keywords: Cardiac arrest, Outcome, Capnography, Capnometry, Advanced life support, Pulmonary embolism, Prognostics
1. Introduction
The partial pressure of end tidal carbon dioxide (ETCO2) estimates alveolar carbon dioxide (CO2) tension, and reflects its production, transport to, and elimination from the lungs; hence it generally reflects cardiac output.1, 2 Alteration in one of these factors will affect the measurement. The technique was first described during anaesthesia in the 1950s,3 in order to verify correct tube placement. Monitoring of ETCO2 during cardiopulmonary resuscitation (CPR) was first described by Kalenda, who used ETCO2 as a guide to the efficacy of CPR. A drop in ETCO2 was an indicator for when to change the person providing chest compressions, due to inadequate compression efficacy.4 This was later followed by studies reporting its use during CPR in experimental models.1, 5 The positive correlation between ETCO2 and outcome of cardiac arrest in patients has been well described in several studies,5, 6, 7, 8, 9, 10, 11 and a significant increase in ETCO2 during CPR has been associated with return of spontaneous circulation (ROSC).12, 13 The 2010 guidelines from European Resuscitation Council (ERC) now encourage the use of capnography to guide CPR during Advanced Life Support (ALS).14
Interpretation of ETCO2 during resuscitation from cardiac arrest is still challenging and has several pitfalls. Especially the cause of the arrest seems to have impact on the ETCO2, and recent studies have described higher ETCO2 in asphyxial arrests compared with arrests of cardiac aetiology.15, 16 Further, the influence of bystander CPR may impact on ETCO2 as well as variations over time, but this has not been documented in clinical studies.
Thus, the aims of the study were to document levels of ETCO2 in patients with out-of-hospital cardiac arrest (OHCA). We hypothesised that although capnography will give valuable feedback to the ALS providers, initial heart rhythm, cause of the arrest, presence of bystander CPR and time dependency will limit and complicate its interpretation.
2. Material and methods
2.1. Ethics
This retrospective study was carried out at the Emergency Medical Service (EMS), Haukeland University Hospital, Norway. The Privacy Protection Supervisor approved the study and the Regional Committees for Medical Research Ethics had no objections. The need of an informed consent from the patients or the families was waived.
2.2. Organisation
Our region has a population of approximately 470,000 people (15,000
km2). Since 1988, the Helicopter Emergency Medical Service (HEMS) at Haukeland University Hospital has assisted the decentralised ambulances treating cardiac arrests. The paramedics are trained in ALS and are yearly certified. The HEMS is served by an anaesthesiologist by helicopter or rapid response car. Regarding cardiac arrest, the emergency dispatch centre provides telephone guided CPR to lay people if the patient is unconscious with abnormal breathing. In parallel, both the nearest ambulance and the HEMS are immediately despatched for initiation of ALS. Local first-responders providing basic life support with defibrillation (fire-fighters) are also despatched, who may arrive at the patient before the ambulance/HEMS.
2.3. ALS treatment
All patients in the present study were treated according to the current international guidelines with our national adjustments.17, 18, 19 Both the ambulances and the HEMS were equipped with Lifepak® 12 Defibrillator (Physio-Control Inc., Redmond, WA, USA), while the first responders used the fully automatic Lifepak CR® (Physio-Control). To permit continuous chest compressions, the patients had airways secured with a supraglottic laryngeal tube (LTS-D, VBM Medizintechnik GmbH, Germany) by the paramedics, or endotracheal tube by the anaesthesiologists. The first responders used mouth-to-mouth ventilation with a pocket mask. All patients were manually ventilated according to the current guidelines.17, 18, 19 ALS drugs were used according to national guidelines,17, 18, 19 and no bicarbonate buffer was administered during the study period. If ROSC did not occur and the resuscitation attempt was deemed to be futile by the attending doctor, ALS was terminated on the scene. In the presence of profound hypothermia, or in other special circumstances, patients were transported with ongoing CPR to Haukeland University Hospital.
2.4. Capnography use
The HEMS has routinely used waveform capnography in all intubated patients since 1999. Initially, the purpose of capnography was to verify correct tracheal tube placement. However, in cardiac arrest patients, we also used it as a surrogate marker of circulation.20 ETCO2-monitoring was performed using a mainstream sensor, using single beam, non-dispersive infrared absorption, ratiometric measurements (Tidal Wave®, Philips Respironics, The Netherlands). Recording of ETCO2-values were initiated upon the arrival of the HEMS, and after placement of a secured airway, and were continuously observed by the treating anaesthesiologist.
2.5. Study design and data collection
All patients with ALS initiated non-traumatic cardiac arrest treated at our HEMS between January 2004 and December 2009 were included in the study. Pre-hospital data were recorded according to the Utstein model.21 Time records from the dispatch centre supplemented ambulance records regarding response times. In cases where the exact time of cardiac arrest was unknown, the time was estimated based on the current information available. In patients with unknown arrest time of over 60
min, all response times were increased by 60
min.
In patients with ROSC admitted to hospital, the cause of arrest was determined based on hospital records and all available information. Patients were classified in four categories; cardiac, respiratory, pulmonary embolism (PE) and unknown. Based on the initial heart rhythm, patients were classified in three groups; ventricular fibrillation/pulseless ventricular tachycardia (VF/VT), asystole (AS) or pulseless electric activity (PEA). For those pronounced dead at the scene, the anaesthesiologist stated the assumed cause of the arrest according to the Utstein-criteria. This assumption was based on previous medical history, comparative information from family, witnesses and bystanders and all available clinical or environmental data or signs.21 For example, a PE was decided as the cause of the arrest if a clinical suspicion of a deep vein thrombosis (presumably with initial AS or PEA) was present. Those patients with an unclear cause of the arrest were grouped as “unknown” in order to have as clean groups as possible.
Patients who gained ROSC before arrival of HEMS, patients transported to the hospital with ongoing resuscitation (hypothermic patients or other special circumstances), and patients with unknown initial heart rhythm were excluded from the study.
ETCO2 were recorded after the HEMS crew arrived at the patient as previously described. After one minute of normal ventilation, the average, minimal and maximal values in the following 15
min of ALS (or until ROSC if it occurred before 15
min) were recorded manually by the anaesthesiologist. The Tidal Wave® capnograph has no automatic recording of data, and the average value during these 15
min was not an average in a strict sense, but was based on the anaesthesiologist's judgement. ETCO2 measurements were then analysed based upon the initial heart rhythm, cause of the arrest and presence of bystander CPR, and further classified depending on ROSC or no ROSC. Association of ETCO2 related to bystander CPR, time of measurement, initial rhythms and cause of the arrest were also classified. Other factors that may influence ETCO2 like epinephrine, quality of CPR and ventilation data were not available.
2.6. Statistics
All numbers are presented as mean
±
SD. Continuous data were compared using independent samples t-tests. Linear regression analysis was used to determine the relationship of average measurement on ETCO2 with bystander CPR, time of measurement, rhythm and cause of the arrest. Regression analysis used all observations where average ETCO2 was known. Since some covariates from different patients were missing, the regression analysis was run using multiple imputation, a well described general procedure to use as much information as possible.22 In this procedure, several completed data sets (200 in our case) are constructed and analyses from these completed data sets are combined. Some continuous covariates were entered nonlinearly, when deviations from a linear relationship was suspected. A p-value <0.05 was considered significant. The R (The R Foundation for Statistical Computing, Vienna, Austria) packages rms and Hmisc were used for regression analysis, imputation and assessment of which covariates that should be entered nonlinearly. SPSS version 17-18 (IBM SPSS, Somers, NY, USA) was used for presentation of the data and for other statistical analyses.
3. Results
A total of 918 patients received ALS after OHCA during the study period. Patient flow chart with included and excluded patients is shown in Fig. 1. Of 724 eligible patients, ETCO2 recordings were present in 575 (82%) patients who were included in the final study. Patients with ETCO2 measurements did not differ from the missing/excluded group regarding gender, age, initial heart rhythm, response times or outcome. All baseline characteristics are presented in Table 1. Data only relates to patients in whom a clear airway and controlled ventilation were established and confirmed by capnography before data collection started. Additionally all tube placements were confirmed by signs of effective ventilation. Among the 575 included, 232 patients (40%) gained ROSC and were transported to the hospital. For all initial heart rhythms and different causes, ETCO2 were significantly higher in those achieving ROSC compared to those not achieving ROSC (Table 2, Table 3).
Fig. 1.
Included and excluded patients - flow chart.
Table 1. Baseline characteristics in study population (n
=
575).
Variable |
Mean |
Age (year) |
60.7 |
Female/male |
145/430 |
Witnessed |
414 (72%) |
Bystander CPR |
438 (76%) |
Arrest-CPR (min) |
8.6 |
Arrest-ACLS (min) |
14.7 |
Arrest-CO2 recording (min) |
22.5 |
Admitted hospital with ROSC |
232 (40%) |
Any ROSC (%) |
286 (50%) |
Termination of resuscitation (min)a |
43.3 |
Cause of the arrest |
|
|
336 (58%) |
|
117 (20%) |
|
12 (2%) |
|
110 (19%) |
Initial rhythm |
|
|
195 (34%) |
|
3 (1%) |
|
266 (46%) |
|
111 (19%) |
CPR, cardio pulmonary resuscitation; ACLS, advanced cardiac life support.
|
aTime between arrest and termination of resuscitation. |
Table 2. Average ETCO2 (kPa) during CPR in patients with or without ROSC, regarding the cause of the arrest.
Cause |
Overall ETCO2, mean |
ROSC, mean |
No-ROSC, mean |
|
Cardiac |
2.8 |
3.4 |
2.4 |
<0.001 |
Respiratory |
3.5 |
4.5 |
2.3 |
<0.001 |
Pulmonary embolism |
1.7 |
2.2 |
0.9 |
0.023 |
Unknown/Other |
2.0 |
2.7 |
1.3 |
<0.001 |
aContrast between ROSC and no-ROSC using independent samples t-test. |
Table 3. ETCO2 (kPa) in patients presenting asystole with respiratory and cardiac causes to the arrest.
ETCO2 |
Cardiac cause, mean |
Respiratory cause, mean |
|
Average |
2.3 |
3.5 |
<0.001 |
Min. |
1.5 |
2.4 |
<0.001 |
Max. |
3.4 |
5.1 |
<0.001 |
aContrast between cardiac and respiratory causes using independent samples t-test. |
3.1. ETCO2 and different causes
There were significant differences in ETCO2 depending on the cause of the arrest (p
<
0.001) (Table 2), with respiratory arrests having increased levels compared to primary cardiac caused arrests. Furthermore, a significantly lower level of ETCO2 was present in patients with PE compared to patients with respiratory and cardiac causes, regardless of ROSC or not (Table 2). Patients with ROSC and PE, had similar values as patients without ROSC and all other causes (and actually tended to be even lower) (Table 2). In patients with initial asystole, the minimum, maximum and average ETCO2 were characteristically higher among those patients with respiratory compared to cardiac causes (p
<
0.001) (Table 3). More patients gained ROSC in the respiratory compared to the cardiac group, 49% vs. 15%.
3.2. ETCO2 and different initial rhythms
Initial VF/VT was present in 198 patients (34%), AS in 266 patients (46%), and PEA in 111 (19%) patients (Table 4). Regression analysis did reveal differences in the ETCO2 with respect to initial rhythms (p
=
0.004). Within each rhythm, there were significant contrasts between patients with and without ROSC (Table 4). In the presence of ROSC, patients with initial asystole had the highest ETCO2, and PEA the lowest, whereas in absence of ROSC, patients with initial VF/VT had the highest levels (Table 4).
Table 4. Average ETCO2 (kPa) during CPR in patients with or without ROSC, regarding the initial heart rhythm.
Initial heart rhythm |
ETCO2 |
ROSC, mean |
No-ROSC, mean |
|
VF/VT (n |
Average |
3.4 |
2.8 |
<0.001 |
|
Min. |
2.6 |
1.8 |
<0.001 |
|
Max. |
5.1 |
4.3 |
0.009 |
AS (n |
Average |
4.1 |
2.0 |
<0.001 |
|
Min. |
2.9 |
1.4 |
<0.001 |
|
Max. |
5.9 |
3.0 |
<0.001 |
PEA (n |
Average |
3.1 |
2.2 |
0.001 |
|
Min. |
2.2 |
1.3 |
<0.001 |
|
Max. |
4.4 |
3.1 |
0.003 |
aContrast between ROSC and No-ROSC using independent samples t-test. |
3.3. ETCO2 and bystander CPR
The impact of bystander CPR affected the ETCO2 significantly (p
=
0.003). Initiation of bystander CPR within four minutes after the cardiac arrest resulted in higher values of ETCO2 while CPR started later resulted in lower values (Fig. 2a). Over time, the trend was decreasing values of ETCO2.
Full-Size Image |
|
|
|
Fig. 2 (a) End tidal CO2 and time of onset bystander CPR after the arrest, adjusted for time of measurement, initial rhythms and cause of the arrest (estimated values with 95% CI). (b) Measurement of end tidal CO2 at different times after the arrest, adjusted for bystander CPR, initial rhythms and cause of the arrest (estimated values with 95% CI). © 2012 Elsevier Ireland Ltd |
Fig. 2.
(a) End tidal CO2 and time of onset bystander CPR after the arrest, adjusted for time of measurement, initial rhythms and cause of the arrest (estimated values with 95% CI). (b) Measurement of end tidal CO2 at different times after the arrest, adjusted for bystander CPR, initial rhythms and cause of the arrest (estimated values with 95% CI).
3.4. ETCO2 and time of measurement
The average ETCO2 was significantly affected by the time of recording after the arrest (p
=
0.037), and the values declined with delayed measurement (Fig. 2b).
4. Discussion
In the present study we have documented that several factors complicate the interpretation of ETCO2 during ALS. Although ETCO2 differs well between patients with and without ROSC, there is no clear generalised cut-off value determining whether ROSC will be achieved or not. Several confounding factors such as cause of the arrest, initial rhythm, bystander CPR and changes over time from arrest until ETCO2 recordings seem to influence this.
Patients with respiratory causes and initial AS had in general higher levels of ETCO2 than those with a primary cardiac cause. Similarly, Grmec et al. have previously reported higher ETCO2 immediately after intubation in patients with asphyxial compared to primary cardiac arrests.15 Lah et al. from the same group demonstrated that this difference normalised within three to five minutes after initiation of ALS.16 They also reported that the initial ETCO2 could not be used as a prognostic factor due to these aetiology differences.16 We speculate that capnography for CPR guidance during ALS is easier to interpret in patients with cardiac causes than in patients with asphyxial arrests.
The higher ETCO2 in patients with asphyxial arrests are presumably not due to better cardiac output, but due to CO2accumulation in the tissue and venous blood due to asphyxia and absence of ventilation.15 This assumption introduces the possibility for confounding in the presence of bystander CPR, which affected the ETCO2. First, we found increased ETCO2with onset of CPR within the first four minutes after the cardiac arrest. Thereafter, the ETCO2 seemed to decrease with delayed onset of CPR beyond four minutes. Survival after cardiac arrest depends on time from arrest until CPR and successful defibrillation,17, 18, 23 and thereby reduces with later onset of bystander CPR.24, 25 Besides the hypoxic component, this can also be related to development of stone heart with thickening of the myocardium and decrease in left ventricular volume. This has been demonstrated in untreated cardiac arrest in pigs.26 Our data confirm that delayed initiation of CPR leads to lower ETCO2. This might be explained by less effective chest compressions due to development of stone heart. The reported delay between time of arrest and ETCO2-recording may seem long, but can partly be explained by the fact that also unwitnessed arrests were included.
An interesting result in our study was the low levels of ETCO2 in patients with PE. ETCO2 in PE patients are characteristically lower because of diminished pulmonary perfusion and increased alveolar dead space, and consequently decreased CO2elimination capability.27, 28 Low ETCO2 and clinical suspicion of PE, might therefore be an indication for trombolysis during ongoing ALS, since individually adjusted treatment with fibrinolytics for these patients previously can be successful.29 Only 12/575 patients in the present study had a PE confirmed as the cause of their arrest. This is far less than previously reported,30 and emphasizes the fact that PE is difficult to diagnose in cardiac arrest. Low ETCO2 combined with a non-shockable rhythm can be suspectible of PE.
In clinical studies, ETCO2
>
2.4
kPa after 20
min has been shown to predict ROSC, and values <1.3
kPa have been associated with no ROSC.15, 16 Our data demonstrates that such cut-off values must be used with caution. Too many confounding factors impact on the actual ETCO2. Importantly, cut-off values from observational studies are only based on the actual dataset, and cannot be generalised to other systems. Strict use of cut-off values in patient treatment will lead to treatment withdrawal based on self-fulfilling prophecy. Furthermore, the compression site on sternum might presumably affect haemodynamics and thereby cardiac output and ETCO2, as recently shown in a clinical study.31 This fits well with our impression that levels of ETCO2 in each patient varied depending on the rescuer performing chest compressions. Thus, since both compression site and quality of chest compressions impact on the ETCO2, this should be acknowledged by ALS-providers during interpretation of capnography. With ETCO2-guided resuscitation it is thereby possible to encourage the rescuers to maximise quality of CPR and to change the person providing compressions when the ETCO2 drops, thereby optimising CPR for each patient.
The major limitation in the present study is the method used for ETCO2 recordings. The anaesthesiologist on scene observed the ETCO2 continuously during the first 15
min after arrival on scene, and registered manually the values without any further validation of these data. Since the Tidal Wave® capnograph had no automatic recording, the registered minimum, maximum and average ETCO2 from each patient were based on the anaesthesiologists' judgement. Such observation might lead to recording errors and bias, but since this was a non-interventional study, the registered data should only have been prone to recording error. Due to the interesting finding of the time variation and difference between causes and initial rhythms, future studies should link every ETCO2 to time during the resuscitation procedure. The method used for ETCO2recordings should be improved and optimised for better data management and scientific and valid interpretation. Further, the patients were manually ventilated, and although this was done or observed by an experienced anaesthesiologist we have no data on quality of ventilations. However, the impact of ventilation may be of minor importance in a low flow state like cardiac arrest.20 Pulmonary flow, generated from cardiac output achieved through chest compressions, is more important in this situation. Another limitation is how cause of death was determined in the field in patients without ROSC. We have no autopsy data, and the uncertainty involved in these causes may also hide undiagnosed PE. Consequently, the number of unknown causes is high. Finally, epinephrine impacts on cardiac output and ETCO2 during ALS,32 but unfortunately we have no data on epinephrine use in the present study. Our patients received epinephrine following guideline recommendations.17, 18, 19
5. Conclusion
Capnography is a useful tool to optimise and individualise ALS in cardiac arrested patients. However, confounding factors including cause of arrest, initial rhythm, bystander CPR and time from cardiac arrest until quantitative capnography had an impact on ETCO2 values, thereby complicating and limiting prognostic interpretation of capnography during ALS.
Role of the funding source
Bård E. Heradstveit is a fellow research of The Regional Centre for Emergency Medical Research and Development (RAKOS, Stavanger/Norway). The RAKOS had no influence on the topic, study design or interpretation of the data.
Conflict of interest statement
There are no conflicts of interest.
Acknowledgements
The study was supported by a research grant from the Regional Centre for Emergency Medical Research and Development (RAKOS, Stavanger/Norway). MD Ivar Austlid provided supportive information to the registration, and MD Brian Burns made valuable comments to the manuscript.
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