Petter Steen - Profile on Academia.edu (original) (raw)
Papers by Petter Steen
A Mixture Model Classifier and Its Application on the Biomedical Time Series
Http Dx Doi Org 10 1080 08839514 2012 687665, Jun 18, 2012
This article presents a methodology based on the mixture model to classify the real biomedical ti... more This article presents a methodology based on the mixture model to classify the real biomedical time series. The mixture model is shown to be an efficient probabilistic density estimation scheme aimed at approximating the posterior probability distribution of a certain class of data. The approximation is conducted by employing a weighted mixture of a finite number of Gaussian kernels whose
RAPID COMMUNICATION: Wavelet transform-based prediction of the likelihood of successful defibrillation for patients exhibiting ventricular fibrillation
Meas Sci Technol, 2005
We report on an improved method for the prediction of the outcome from electric shock therapy for... more We report on an improved method for the prediction of the outcome from electric shock therapy for patients in ventricular fibrillation: the primary arrhythmia associated with sudden cardiac death. Our wavelet transform-based marker, COP (cardioversion outcome prediction), is compared to three other well-documented shock outcome predictors: median frequency (MF) of fibrillation, spectral energy (SE) and AMSA (amplitude spectrum analysis). Optimum specificities for sensitivities around 95% for the four reported methods are 63 ± 4% at 97 ± 2% (COP), 42 ± 15% at 90 ± 7% (MF), 12 ± 3% at 94 ± 5% (SE) and 56 ± 5% at 94 ± 5% (AMSA), with successful defibrillation defined as the rapid (<60 s) return of sustained (>30 s) spontaneous circulation. This marked increase in performance by COP at specificity values around 95%, required for implementation of the technique in practice, is achieved by its enhanced ability to partition pertinent information in the time-frequency plane. COP therefore provides an optimal index for the identification of patients for whom shocking would be futile and for whom an alternative therapy should be considered.
Erratum to “Reporting data following major trauma and analysing factors associated with outcome using the new Utstein style recommendations”
Resuscitation, 2004
Erweiterte lebensrettende Sofortma�nahmen beim Erwachsenen
Notfall Rettungsmed, 1998
Resuscitation, Jan 4, 2000
In a previous case report a standard chest compression successfully removed a foreign body from t... more In a previous case report a standard chest compression successfully removed a foreign body from the airway after the Heimlich manoeuvre had failed. Based on this case, standard chest compressions and Heimlich manoeuvres were performed by emergency physicians on 12 unselected cadavers with a simulated complete airway obstruction in a randomised crossover design. The mean peak airway pressure was significantly lower with abdominal thrusts compared to chest compressions, 26.4 919.8 cmH 2 O versus 40.8 916.4 cmH 2 O, respectively (P= 0.005, 95% confidence interval for the mean difference 5.3 -23.4 cmH 2 O). Standard chest compressions therefore have the potential of being more effective than the Heimlich manoeuvre for the management of complete airway obstruction by a foreign body in an unconscious patient. Removal of the Heimlich manoeuvre from the resuscitation algorithm for unconscious patients with suspected airway obstruction will also simplify training. : S 0 3 0 0 -9 5 7 2 ( 0 0 ) 0 0 1 6 1 -1
Cardiac arrest and cardiopulmonary resuscitation outcome reports: update and simplification of the Utstein templates for resuscitation registries. A statement for healthcare professionals from a task force of the international liaison committee on resuscitation (American Heart Association, Europe...
Notfall Rettungsmed, 2005
Antagonism of Flunitrazepam-Induced Sedative Effects by Flumazenil in Patients After Surgery Under General Anesthesia. A Double-Blind Placebo-Controlled Investigation of Efficacy and Safety
Survey of Anesthesiology, 1989
A probabilistic neural network as the predictive classifier of out-of-hospital defibrillation outcomes
Resuscitation, Jan 31, 2005
Although modern defibrillators are nearly always successful in terminating ventricular fibrillati... more Although modern defibrillators are nearly always successful in terminating ventricular fibrillation (VF), multiple defibrillation attempts are usually required to achieve return of spontaneous circulation (ROSC). This is potentially deleterious as cardiopulmonary resuscitation (CPR) must be discontinued during each defibrillation attempt which causes deterioration in the heart muscle and reduces the chance of ROSC from later defibrillation attempts. In this work defibrillation outcomes are predicted prior to electrical shocks using a neural network model to analyse VF time series in an attempt to avoid defibrillation attempts that do not result in ROSC. The 198 pre-shock VF ECG episodes from 83 cardiac arrest patients with defibrillation conversions to different outcomes were selected from the Oslo ambulance service database. A probabilistic neural network model was designed for training and testing with a cross validation method being used for the better generalisation performance. We achieved an accuracy of 75% in overall prediction with a sensitivity of 84% and a specificity of 65% using VF ECG time series of an order of 1 s in length. Pre-shock VF ECG time series can be classified according to the defibrillation conversion to a return of spontaneous circulation (ROSC) or No-ROSC.
[Medical training using newly deceased]
Tidsskrift for Den norske legeforening
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001
This paper reports on work in progress to develop a wavelet-based method of outcome prediction af... more This paper reports on work in progress to develop a wavelet-based method of outcome prediction after DC countershock. The method correlates return of spontaneous circulation (ROSC) with features of the wavelet-based power spectra derived from the ECG during ventricular fibrillation. held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom., The original document contains color images.
Extracting heart rhythm information during CPR using wavelet transform methods
IET 3rd International Conference MEDSIP 2006. Advances in Medical, Signal and Information Processing, 2006
[Advanced emergency life support measures in resuscitation. Guidelines of the European Resuscitation Council 1998]
Der Anaesthesist
Post resuscitation care
Resuscitation, 2006
ABSTRACT
An Integrated Information Sharing Structure for Resuscitation Data
2009 International Conference on Advanced Information Networking and Applications Workshops, 2009
ABSTRACT
Resuscitation, 2009
Objective: To discuss challenges in representing resuscitation data from Utstein style reports an... more Objective: To discuss challenges in representing resuscitation data from Utstein style reports and devices like defibrillators with focus on unified and efficient handling of variety of resuscitation research objectives. Methods and results: Information on therapy such as shock delivery, chest compressions and ventilation can be extracted from defibrillators. A method for merging this information with cardiac rhythm annotated from ECGs, yields a representation of the resuscitation episode with cardiac rhythm also giving information on response to therapy. These data should be synchronised to an electronic Utstein report. With modern technology for communicating information it is possible to structure, store and transport data flexibly so that data captured with devices from different manufacturers can be combined. Conclusions: A scheme for representing resuscitation data should combine essential information stored in different locations after a resuscitation attempt. The resulting representation should enable data analysis to enable studies of the relationship between therapy and patient response. As the complexity and amount of data generated during resuscitation efforts are ever increasing, the time is mature for using modern information technology tools to provide infrastructure for efficient data management and analysis to identify and meet future challenges in resuscitation data analysis.
Notfall + Rettungsmedizin, 2005
go me ry P. Mor ley • G. Ni chol • J. No lan • K. Oka da • J. Perl man • M. Shus ter • P. A. Stee... more go me ry P. Mor ley • G. Ni chol • J. No lan • K. Oka da • J. Perl man • M. Shus ter • P. A. Steen • F. Sterz J. Tib balls • S. Ti mer man • T. Truitt • D. Zi de man Kern Kei ner Sie he Ätio lo gie Kern 7. Still stand be ob ach tet durch Zeu gen Sie he Still stand be ob achtet/un ter Mo ni to ring An zahl der Re ani ma ti ons ver su che, bei de nen der Still sta nd von Lai en be ob ach tet wur de Kern Kern 8. Still stand nicht be ob ach tet Sie he Still stand be ob achtet/un ter Mo ni to ring An zahl der Re ani ma ti ons ver su che, bei de nen der Still stand von nie man dem be ob ach tet wur de Kern Kern 9. Still stand be ob ach tet durch Ret tungs dienstperso nal Sie he Still stand be ob achtet/un ter Mo ni to ring Ers ter ab ge lei te ter Rhyth mus de fi bril lier bar An zahl der Re ani ma ti ons ver su che, bei de nen der Still stand von Ge sund heits per so nal be ob ach tet wur de Ge samtan zahl der Re ani ma ti ons ver su che, bei de nen der ers te ab ge lei te te Rhyth mus de fi bril lier bar war und be stimmt wur de als: • VF • VT • Un be kann ter, durch AED de fi bril lier ba rer Rhyth mus Kern Kei ner Kern Kern 10. Ini ti a ler Rhyth mus VF Sie he ers ter ab ge lei te ter Rhyth mus de fi bril lier bar An zahl der Re ani ma ti ons ver su che, bei de nen der ers te nach Still stand ab ge lei te te Rhyth mus VF war Kern Kern Kern Kei ner Kern Kern 12. Ini ti a ler Rhyth mus Asy sto lie Sie he ers ter ab ge lei te ter Rhyth mus nicht de fi bril lier bar An zahl der Re ani ma ti ons ver su che, bei de nen der ers te nach Still stand ab ge lei te te Rhyth mus Asy sto lie war Kern Kern 13. Sons ti ger ini ti a ler Rhyth mus Sie he ers ter ab ge lei te ter Rhyth mus nicht de fi bril lier bar An zahl der Re ani ma ti ons ver su che, bei de nen der ers te nach Still stand ab ge lei te te Rhyth mus nicht de fi bril lier bar war Kern Kern 14. Fest stel lung, ob Erst hel ferreani ma ti on statt ge funden hat: ja oder nein für jede Un ter grup pe CPR vor Ein tref fen Ret tungs dienst Rhyth mu s ana ly se oder De fi bril la ti on vor Ein tref fen Ret tungs dienst An zahl der Re ani ma ti ons ver su che, bei de nen vor Ein tref fen des Ret tungs diens tes CPR (Herz druck mas sa ge) durch ge führt wur de An zahl der Re ani ma ti ons ver su che, bei de nen vor Ein tref fen des Ret tungs diens tes ent we der eine AED-Rhyth mu s ana ly se oder De fi bril la ti on durch ge führt wur de Kern Kei ner Kern Kern 15. Ir gend wann ROSC Ir gend wann ROSC An zahl der Re ani ma ti ons ver su che, bei de nen ir gend wann ROSC vor lag Kern Kern 16. ROSC nie mals er reicht Sie he ir gend wann ROSC Sie he ir gend wann ROSC Kern Kern 17a. Maß nah men ein ge stellt: Pa ti ent auf dem Weg ins Kran ken haus ge stor ben Ent fal len An zahl der Re ani ma ti ons ver su che, bei de nen alle Wie der be le bungs be mü hun gen ein ge stellt wur den und der Pa ti ent vor An kunft im Kran ken haus starb Kern Zu sätz lich 17b. Maß nah men ein ge stellt: Pa ti ent in Not auf nah me ge stor ben Ent fal len An zahl der Re ani ma ti ons ver su che, bei de nen alle Wie der be le bungs be mü hun gen ein ge stellt wur den und der Pa ti ent in der Not fal l aufnahme starb Kern Zu sätz lich 18. Ein ge lie fert auf In tensivsta ti on/Sta ti on Er eig nis über lebt bis Not fal l auf nah me/ In ten sivsta ti on An zahl der Re ani ma ti ons ver su che, bei de nen der Pa ti ent Kreis lauf zei chen wie der er lang te und in Not fal l auf nah me oder In ten sivsta ti on ein ge lie fert wur de Kern Kern 19a. Im Kran ken haus ge stor ben -ge samt Ent fal len An zahl der Re ani ma ti ons ver su che, bei de nen der Pa ti ent Kreis lauf zei chen wie der er lang te und in Not fal l auf nah me/In ten sivsta ti on ein ge lie fert wur de, aber im Kran ken haus starb Kern Zu sätz lich 19b. Im Kran ken haus ge stor ben in ner halb 24 h Ent fal len An zahl der Re ani ma ti ons ver su che, bei de nen der Pa ti ent Kreis lauf zei chen wie der er lang te und in Not fal l auf nah me/In ten sivsta ti on ein ge lie fert wur de, aber in ner halb von 24 h im Kran ken haus starb Kern Zu sätz lich 20. Le bend ent las sen Un ver än dert An zahl der Re ani ma ti ons ver su che, bei de nen der Pa ti ent Kreis lauf zei chen wie der er lang te, in Notfal l auf nah me/In ten sivsta ti on ein ge lie fert und le bend aus dem Kran ken haus ent las sen wur de
Resuscitation, 2000
The correct tidal volume during cardiopulmonary resuscitation (CPR) is presently debated. While t... more The correct tidal volume during cardiopulmonary resuscitation (CPR) is presently debated. While the European Resuscitation Council (ERC) and American Heart Association (AHA) previously recommended a tidal volume of 800 -1200 ml, the ERC has recently reduced this to 400-600 ml. In a prospective, randomised study of 17 non-traumatic out-of-hospital cardiac arrest patients intubated and mechanically ventilated 12 min − 1 with 100% oxygen, we have therefore compared arterial blood gases generated with tidal volumes of 500 and 1000 ml. Mean time from cardiac arrest to arrival of the ambulance was 13 9 8 and 14 98 min in the two groups, respectively. Arterial blood samples were taken percutaneously 5 and 10 -15 min after onset of the mechanical ventilation and analysed instantly. Pa CO 2 was significantly higher for a tidal volume of 500 than 1000 ml at both 5 and 10-15 min, 7.4892.23 versus 3.70 9 0.83 kPa (P =0.002) and 7.45 9 1.19 versus 3.98 9 1.58 kPa (P B 0.001). The pH was lower for 500 than 1000 ml at 10-15 min, 7.0190.10 versus 7.20 9 0.17 (P =0.034), with a strong trend in the same direction at 5 min (P= 0.06). There was adequate oxygenation with no differences in Pa O 2 or BE at any time between the two groups, and no significant differences in any blood gas variables between the 5-and 10 -15-min samples. We conclude that arterial normocapnia is not achieved with either tidal volume during advanced life support with non-rebreathing ventilation at 12 min − 1 . What ventilation volume is required for CO 2 removal and oxygenation during basic life support with mouth-to-mouth ventilation cannot be extrapolated from the present data. In that situation the risk of gastric inflation, regurgitation and aspiration must also be taken into account.
Guidelines for advanced life support
Resuscitation, 1992
... Guidelines for advanced life support. Auteur(s) / Author(s). CHAMBERLAIN D. ; BOSSAERT L. ; C... more ... Guidelines for advanced life support. Auteur(s) / Author(s). CHAMBERLAIN D. ; BOSSAERT L. ; CARLI P. ; EDGREN E. ; EKSTROM L. ; HAPNES S. ; HOLMBERG S. ; KOSTER R. ; LINDNER K. ; PASQUALUCCI V. ; PERALES N. ; VON PLANTA M. ; ROBERTSON C. ; STEEN P. ; ...
Notfall & Rettungsmedizin, 1998
Colin Robertson (Großbritannien) • Petter Steen (Norwegen) • Douglas Chamberlain (Großbritannien)... more Colin Robertson (Großbritannien) • Petter Steen (Norwegen) • Douglas Chamberlain (Großbritannien) • Leo Bossaert (Belgien) • Pierre Carli (Frankreich) • Lars Ekström (Schweden) • Svein A. Hapnes (Norwegen) • Stig Holmberg (Schweden) • Rudy Koster (Niederlande) • Karl Lindner (Österreich) • Narcisco Perales (Spanien) • Rudolph Juchems (Deutschland) • Jennifer Adgey (Großbritannien) • Wolfgang Dick (Deutschland) • Fulvio Kette (Italien) • Walter Kloeck (Süd Afrika) • Vic Callanan (Australien);European Resuscitation Council
A Mixture Model Classifier and Its Application on the Biomedical Time Series
Http Dx Doi Org 10 1080 08839514 2012 687665, Jun 18, 2012
This article presents a methodology based on the mixture model to classify the real biomedical ti... more This article presents a methodology based on the mixture model to classify the real biomedical time series. The mixture model is shown to be an efficient probabilistic density estimation scheme aimed at approximating the posterior probability distribution of a certain class of data. The approximation is conducted by employing a weighted mixture of a finite number of Gaussian kernels whose
RAPID COMMUNICATION: Wavelet transform-based prediction of the likelihood of successful defibrillation for patients exhibiting ventricular fibrillation
Meas Sci Technol, 2005
We report on an improved method for the prediction of the outcome from electric shock therapy for... more We report on an improved method for the prediction of the outcome from electric shock therapy for patients in ventricular fibrillation: the primary arrhythmia associated with sudden cardiac death. Our wavelet transform-based marker, COP (cardioversion outcome prediction), is compared to three other well-documented shock outcome predictors: median frequency (MF) of fibrillation, spectral energy (SE) and AMSA (amplitude spectrum analysis). Optimum specificities for sensitivities around 95% for the four reported methods are 63 ± 4% at 97 ± 2% (COP), 42 ± 15% at 90 ± 7% (MF), 12 ± 3% at 94 ± 5% (SE) and 56 ± 5% at 94 ± 5% (AMSA), with successful defibrillation defined as the rapid (<60 s) return of sustained (>30 s) spontaneous circulation. This marked increase in performance by COP at specificity values around 95%, required for implementation of the technique in practice, is achieved by its enhanced ability to partition pertinent information in the time-frequency plane. COP therefore provides an optimal index for the identification of patients for whom shocking would be futile and for whom an alternative therapy should be considered.
Erratum to “Reporting data following major trauma and analysing factors associated with outcome using the new Utstein style recommendations”
Resuscitation, 2004
Erweiterte lebensrettende Sofortma�nahmen beim Erwachsenen
Notfall Rettungsmed, 1998
Resuscitation, Jan 4, 2000
In a previous case report a standard chest compression successfully removed a foreign body from t... more In a previous case report a standard chest compression successfully removed a foreign body from the airway after the Heimlich manoeuvre had failed. Based on this case, standard chest compressions and Heimlich manoeuvres were performed by emergency physicians on 12 unselected cadavers with a simulated complete airway obstruction in a randomised crossover design. The mean peak airway pressure was significantly lower with abdominal thrusts compared to chest compressions, 26.4 919.8 cmH 2 O versus 40.8 916.4 cmH 2 O, respectively (P= 0.005, 95% confidence interval for the mean difference 5.3 -23.4 cmH 2 O). Standard chest compressions therefore have the potential of being more effective than the Heimlich manoeuvre for the management of complete airway obstruction by a foreign body in an unconscious patient. Removal of the Heimlich manoeuvre from the resuscitation algorithm for unconscious patients with suspected airway obstruction will also simplify training. : S 0 3 0 0 -9 5 7 2 ( 0 0 ) 0 0 1 6 1 -1
Cardiac arrest and cardiopulmonary resuscitation outcome reports: update and simplification of the Utstein templates for resuscitation registries. A statement for healthcare professionals from a task force of the international liaison committee on resuscitation (American Heart Association, Europe...
Notfall Rettungsmed, 2005
Antagonism of Flunitrazepam-Induced Sedative Effects by Flumazenil in Patients After Surgery Under General Anesthesia. A Double-Blind Placebo-Controlled Investigation of Efficacy and Safety
Survey of Anesthesiology, 1989
A probabilistic neural network as the predictive classifier of out-of-hospital defibrillation outcomes
Resuscitation, Jan 31, 2005
Although modern defibrillators are nearly always successful in terminating ventricular fibrillati... more Although modern defibrillators are nearly always successful in terminating ventricular fibrillation (VF), multiple defibrillation attempts are usually required to achieve return of spontaneous circulation (ROSC). This is potentially deleterious as cardiopulmonary resuscitation (CPR) must be discontinued during each defibrillation attempt which causes deterioration in the heart muscle and reduces the chance of ROSC from later defibrillation attempts. In this work defibrillation outcomes are predicted prior to electrical shocks using a neural network model to analyse VF time series in an attempt to avoid defibrillation attempts that do not result in ROSC. The 198 pre-shock VF ECG episodes from 83 cardiac arrest patients with defibrillation conversions to different outcomes were selected from the Oslo ambulance service database. A probabilistic neural network model was designed for training and testing with a cross validation method being used for the better generalisation performance. We achieved an accuracy of 75% in overall prediction with a sensitivity of 84% and a specificity of 65% using VF ECG time series of an order of 1 s in length. Pre-shock VF ECG time series can be classified according to the defibrillation conversion to a return of spontaneous circulation (ROSC) or No-ROSC.
[Medical training using newly deceased]
Tidsskrift for Den norske legeforening
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001
This paper reports on work in progress to develop a wavelet-based method of outcome prediction af... more This paper reports on work in progress to develop a wavelet-based method of outcome prediction after DC countershock. The method correlates return of spontaneous circulation (ROSC) with features of the wavelet-based power spectra derived from the ECG during ventricular fibrillation. held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom., The original document contains color images.
Extracting heart rhythm information during CPR using wavelet transform methods
IET 3rd International Conference MEDSIP 2006. Advances in Medical, Signal and Information Processing, 2006
[Advanced emergency life support measures in resuscitation. Guidelines of the European Resuscitation Council 1998]
Der Anaesthesist
Post resuscitation care
Resuscitation, 2006
ABSTRACT
An Integrated Information Sharing Structure for Resuscitation Data
2009 International Conference on Advanced Information Networking and Applications Workshops, 2009
ABSTRACT
Resuscitation, 2009
Objective: To discuss challenges in representing resuscitation data from Utstein style reports an... more Objective: To discuss challenges in representing resuscitation data from Utstein style reports and devices like defibrillators with focus on unified and efficient handling of variety of resuscitation research objectives. Methods and results: Information on therapy such as shock delivery, chest compressions and ventilation can be extracted from defibrillators. A method for merging this information with cardiac rhythm annotated from ECGs, yields a representation of the resuscitation episode with cardiac rhythm also giving information on response to therapy. These data should be synchronised to an electronic Utstein report. With modern technology for communicating information it is possible to structure, store and transport data flexibly so that data captured with devices from different manufacturers can be combined. Conclusions: A scheme for representing resuscitation data should combine essential information stored in different locations after a resuscitation attempt. The resulting representation should enable data analysis to enable studies of the relationship between therapy and patient response. As the complexity and amount of data generated during resuscitation efforts are ever increasing, the time is mature for using modern information technology tools to provide infrastructure for efficient data management and analysis to identify and meet future challenges in resuscitation data analysis.
Notfall + Rettungsmedizin, 2005
go me ry P. Mor ley • G. Ni chol • J. No lan • K. Oka da • J. Perl man • M. Shus ter • P. A. Stee... more go me ry P. Mor ley • G. Ni chol • J. No lan • K. Oka da • J. Perl man • M. Shus ter • P. A. Steen • F. Sterz J. Tib balls • S. Ti mer man • T. Truitt • D. Zi de man Kern Kei ner Sie he Ätio lo gie Kern 7. Still stand be ob ach tet durch Zeu gen Sie he Still stand be ob achtet/un ter Mo ni to ring An zahl der Re ani ma ti ons ver su che, bei de nen der Still sta nd von Lai en be ob ach tet wur de Kern Kern 8. Still stand nicht be ob ach tet Sie he Still stand be ob achtet/un ter Mo ni to ring An zahl der Re ani ma ti ons ver su che, bei de nen der Still stand von nie man dem be ob ach tet wur de Kern Kern 9. Still stand be ob ach tet durch Ret tungs dienstperso nal Sie he Still stand be ob achtet/un ter Mo ni to ring Ers ter ab ge lei te ter Rhyth mus de fi bril lier bar An zahl der Re ani ma ti ons ver su che, bei de nen der Still stand von Ge sund heits per so nal be ob ach tet wur de Ge samtan zahl der Re ani ma ti ons ver su che, bei de nen der ers te ab ge lei te te Rhyth mus de fi bril lier bar war und be stimmt wur de als: • VF • VT • Un be kann ter, durch AED de fi bril lier ba rer Rhyth mus Kern Kei ner Kern Kern 10. Ini ti a ler Rhyth mus VF Sie he ers ter ab ge lei te ter Rhyth mus de fi bril lier bar An zahl der Re ani ma ti ons ver su che, bei de nen der ers te nach Still stand ab ge lei te te Rhyth mus VF war Kern Kern Kern Kei ner Kern Kern 12. Ini ti a ler Rhyth mus Asy sto lie Sie he ers ter ab ge lei te ter Rhyth mus nicht de fi bril lier bar An zahl der Re ani ma ti ons ver su che, bei de nen der ers te nach Still stand ab ge lei te te Rhyth mus Asy sto lie war Kern Kern 13. Sons ti ger ini ti a ler Rhyth mus Sie he ers ter ab ge lei te ter Rhyth mus nicht de fi bril lier bar An zahl der Re ani ma ti ons ver su che, bei de nen der ers te nach Still stand ab ge lei te te Rhyth mus nicht de fi bril lier bar war Kern Kern 14. Fest stel lung, ob Erst hel ferreani ma ti on statt ge funden hat: ja oder nein für jede Un ter grup pe CPR vor Ein tref fen Ret tungs dienst Rhyth mu s ana ly se oder De fi bril la ti on vor Ein tref fen Ret tungs dienst An zahl der Re ani ma ti ons ver su che, bei de nen vor Ein tref fen des Ret tungs diens tes CPR (Herz druck mas sa ge) durch ge führt wur de An zahl der Re ani ma ti ons ver su che, bei de nen vor Ein tref fen des Ret tungs diens tes ent we der eine AED-Rhyth mu s ana ly se oder De fi bril la ti on durch ge führt wur de Kern Kei ner Kern Kern 15. Ir gend wann ROSC Ir gend wann ROSC An zahl der Re ani ma ti ons ver su che, bei de nen ir gend wann ROSC vor lag Kern Kern 16. ROSC nie mals er reicht Sie he ir gend wann ROSC Sie he ir gend wann ROSC Kern Kern 17a. Maß nah men ein ge stellt: Pa ti ent auf dem Weg ins Kran ken haus ge stor ben Ent fal len An zahl der Re ani ma ti ons ver su che, bei de nen alle Wie der be le bungs be mü hun gen ein ge stellt wur den und der Pa ti ent vor An kunft im Kran ken haus starb Kern Zu sätz lich 17b. Maß nah men ein ge stellt: Pa ti ent in Not auf nah me ge stor ben Ent fal len An zahl der Re ani ma ti ons ver su che, bei de nen alle Wie der be le bungs be mü hun gen ein ge stellt wur den und der Pa ti ent in der Not fal l aufnahme starb Kern Zu sätz lich 18. Ein ge lie fert auf In tensivsta ti on/Sta ti on Er eig nis über lebt bis Not fal l auf nah me/ In ten sivsta ti on An zahl der Re ani ma ti ons ver su che, bei de nen der Pa ti ent Kreis lauf zei chen wie der er lang te und in Not fal l auf nah me oder In ten sivsta ti on ein ge lie fert wur de Kern Kern 19a. Im Kran ken haus ge stor ben -ge samt Ent fal len An zahl der Re ani ma ti ons ver su che, bei de nen der Pa ti ent Kreis lauf zei chen wie der er lang te und in Not fal l auf nah me/In ten sivsta ti on ein ge lie fert wur de, aber im Kran ken haus starb Kern Zu sätz lich 19b. Im Kran ken haus ge stor ben in ner halb 24 h Ent fal len An zahl der Re ani ma ti ons ver su che, bei de nen der Pa ti ent Kreis lauf zei chen wie der er lang te und in Not fal l auf nah me/In ten sivsta ti on ein ge lie fert wur de, aber in ner halb von 24 h im Kran ken haus starb Kern Zu sätz lich 20. Le bend ent las sen Un ver än dert An zahl der Re ani ma ti ons ver su che, bei de nen der Pa ti ent Kreis lauf zei chen wie der er lang te, in Notfal l auf nah me/In ten sivsta ti on ein ge lie fert und le bend aus dem Kran ken haus ent las sen wur de
Resuscitation, 2000
The correct tidal volume during cardiopulmonary resuscitation (CPR) is presently debated. While t... more The correct tidal volume during cardiopulmonary resuscitation (CPR) is presently debated. While the European Resuscitation Council (ERC) and American Heart Association (AHA) previously recommended a tidal volume of 800 -1200 ml, the ERC has recently reduced this to 400-600 ml. In a prospective, randomised study of 17 non-traumatic out-of-hospital cardiac arrest patients intubated and mechanically ventilated 12 min − 1 with 100% oxygen, we have therefore compared arterial blood gases generated with tidal volumes of 500 and 1000 ml. Mean time from cardiac arrest to arrival of the ambulance was 13 9 8 and 14 98 min in the two groups, respectively. Arterial blood samples were taken percutaneously 5 and 10 -15 min after onset of the mechanical ventilation and analysed instantly. Pa CO 2 was significantly higher for a tidal volume of 500 than 1000 ml at both 5 and 10-15 min, 7.4892.23 versus 3.70 9 0.83 kPa (P =0.002) and 7.45 9 1.19 versus 3.98 9 1.58 kPa (P B 0.001). The pH was lower for 500 than 1000 ml at 10-15 min, 7.0190.10 versus 7.20 9 0.17 (P =0.034), with a strong trend in the same direction at 5 min (P= 0.06). There was adequate oxygenation with no differences in Pa O 2 or BE at any time between the two groups, and no significant differences in any blood gas variables between the 5-and 10 -15-min samples. We conclude that arterial normocapnia is not achieved with either tidal volume during advanced life support with non-rebreathing ventilation at 12 min − 1 . What ventilation volume is required for CO 2 removal and oxygenation during basic life support with mouth-to-mouth ventilation cannot be extrapolated from the present data. In that situation the risk of gastric inflation, regurgitation and aspiration must also be taken into account.
Guidelines for advanced life support
Resuscitation, 1992
... Guidelines for advanced life support. Auteur(s) / Author(s). CHAMBERLAIN D. ; BOSSAERT L. ; C... more ... Guidelines for advanced life support. Auteur(s) / Author(s). CHAMBERLAIN D. ; BOSSAERT L. ; CARLI P. ; EDGREN E. ; EKSTROM L. ; HAPNES S. ; HOLMBERG S. ; KOSTER R. ; LINDNER K. ; PASQUALUCCI V. ; PERALES N. ; VON PLANTA M. ; ROBERTSON C. ; STEEN P. ; ...
Notfall & Rettungsmedizin, 1998
Colin Robertson (Großbritannien) • Petter Steen (Norwegen) • Douglas Chamberlain (Großbritannien)... more Colin Robertson (Großbritannien) • Petter Steen (Norwegen) • Douglas Chamberlain (Großbritannien) • Leo Bossaert (Belgien) • Pierre Carli (Frankreich) • Lars Ekström (Schweden) • Svein A. Hapnes (Norwegen) • Stig Holmberg (Schweden) • Rudy Koster (Niederlande) • Karl Lindner (Österreich) • Narcisco Perales (Spanien) • Rudolph Juchems (Deutschland) • Jennifer Adgey (Großbritannien) • Wolfgang Dick (Deutschland) • Fulvio Kette (Italien) • Walter Kloeck (Süd Afrika) • Vic Callanan (Australien);European Resuscitation Council