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A novel algorithm to determine ventilation parameters during cardiopulmonary resuscitation using pneumotachography waveform data
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Anaesthesiology and Intensive Care.ORCID iD: 0000-0003-4289-8202
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2026 (English)In: Resuscitation Plus, E-ISSN 2666-5204, Vol. 28, article id 101238Article in journal (Refereed) Published
Abstract [en]

Background

A major barrier to the analysis of ventilation waveform data collected during CPR is the presence of artefacts caused by chest compressions. This study describes the development and evaluation of an algorithm to extract parameters regarding ventilation volume, pressure, and frequency from pneumotachography waveform data collected during ongoing simulated CPR.

Method

Ventilation waveform data was collected from a pneumotachograph connected to the respiratory circuit of a ventilator and a test lung. Both regular ventilation and ventilation during simulated CPR were used to develop the algorithm. A grid search was employed to optimize the algorithm parameters compared to the ventilator settings. The parameters were then manually tuned using clinical data from ventilation during CPR. The performance of the algorithm was described in terms of the median error vs. the known ventilator settings in the simulated data.

Results

Compared to the ventilator settings, the largest systematic errors of the algorithm was an overestimation of peak pressures during asynchronous CPR (median error of 3 (IQR 0.3–5.8) cmH2O), and an underestimation of inspiratory volumes during synchronous CPR (median error 46 (IQR −76 to 10) ml).

Conclusion

In an experimental setting, the developed algorithm provides a novel solution to measure ventilation parameters during ongoing chest compressions. The algorithm is freely available under an open-source licence for use and further development. Further studies will be needed to validate the algorithm.

Place, publisher, year, edition, pages
Elsevier, 2026. Vol. 28, article id 101238
National Category
Anesthesiology and Intensive Care
Research subject
Medical Science
Identifiers
URN: urn:nbn:se:uu:diva-581580DOI: 10.1016/j.resplu.2026.101238ISI: 001683628700001PubMedID: 41674708Scopus ID: 2-s2.0-105029311455OAI: oai:DiVA.org:uu-581580DiVA, id: diva2:2043686
Available from: 2026-03-05 Created: 2026-03-05 Last updated: 2026-03-16Bibliographically approved
In thesis
1. Exploring ventilation during cardiopulmonary resuscitation: Experimental and clinical insights
Open this publication in new window or tab >>Exploring ventilation during cardiopulmonary resuscitation: Experimental and clinical insights
2026 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Ventilation during cardiopulmonary resuscitation remains understudied with current guideline recommendations for the treatment relying on low level evidence and expert opinion. The aim of this doctoral project was to explore ventilation during cardiopulmonary resuscitation, both in the experimental and clinical setting.

Study I investigated whether a suction cup on a mechanical chest compression device intended to assist chest recoil affected the haemodynamics and ventilation in an experimental porcine model. No difference in EtCO2, as a measurement of cardiac output, or ventilation could be found, although the suction cup increased the coronary perfusion pressure.

In study II, ventilation parameters, haemodynamics, blood gases and lung injuries were compared between ventilation during continuous chest compressions and ventilations given during a pause of the chest compressions (30:2) in an experimental porcine model. Continuous chest compressions were associated with higher peak inspiratory pressure, lower EtCO2 and PaCO2. No differences were found with regards to lung injuries between the groups.

Study III aimed to develop and test a novel algorithm designed to extract accurate ventilation parameters from ventilation waveform signals, gathered during experimental CPR, in the presence of chest compression artefacts in the signal, that otherwise interferes with the parameter extraction. The algorithm was tested with a pneumotacography device and with mechanical ventilators giving ventilation parameters with known values. The algorithm deviated only slightly from the ventilator settings and outperformed the standard software of the pneumotachograph.

Study IV was an observational multicentre study that aimed to describe ventilation parameters during cardiopulmonary resuscitation. Patients were included from five sites, four out of hospital and one in hospital. Included in the study were 241 patients and 28120 ventilations. The ventilations were heterogenous and varied with airway modality and ventilation mode. Bag-valve-mask ventilations were associated with large levels of leakage and asynchronous ventilations with endotracheal tubes with high airway pressures. No obvious signs of hyperventilation were found.

Future research on cardiopulmonary resuscitation should when possible include measurements of ventilation, in order to deduce if the varying ventilation parameters affects outcomes and to decide optimal ventilation strategies for survival.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2026. p. 99
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 2244
Keywords
Cardiac arrest, cardiopulmonary resuscitation, ventilation, ventilation parameters, advanced life support
National Category
Anesthesiology and Intensive Care
Research subject
Medical Science
Identifiers
urn:nbn:se:uu:diva-581885 (URN)978-91-513-2773-0 (ISBN)
Public defence
2026-05-08, H:son Holmdahlsalen, Akademiska sjukhuset ing 100, Dag Hammarskjölds väg 8, Uppsala, 13:00 (Swedish)
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Supervisors
Available from: 2026-04-17 Created: 2026-03-16 Last updated: 2026-04-17

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Mälberg, JohanSmekal, DavidRubertsson, StenSpangler, Douglas

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