PaCO2 trajectories in mechanically ventilated patients with COVID-19: A population-based cohort study

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

PaCO2 trajectories in mechanically ventilated patients with COVID-19 : A population-based cohort study. / Berg, Ronan M. G.; Ronit, Andreas; Haase, Nicolai; Moller, Morten Hylander; Kristiansen, Klaus. T. T.; Jonassen, Trine; Wamberg, Christian; Andreasen, Anne Sofie; Mohr, Thomas; Bestle, Morten. H. H.; Jorgensen, Vibeke. L. L.; Hammer, Niels. R. R.; Mitchell, Anja. U. U.; Smitt, Margit; Greve, Anders Møller; Nyeland, Martin Erik; Jensen, Britt Wang; Andreasen, Anne Helms; Petersen, Janne; Solem, Espen Jimenez; Winther-Jensen, Matilde; Plovsing, Ronni. R. R.

In: Acta Anaesthesiologica Scandinavica, Vol. 67, No. 6, 2023, p. 779-787.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Berg, RMG, Ronit, A, Haase, N, Moller, MH, Kristiansen, KTT, Jonassen, T, Wamberg, C, Andreasen, AS, Mohr, T, Bestle, MHH, Jorgensen, VLL, Hammer, NRR, Mitchell, AUU, Smitt, M, Greve, AM, Nyeland, ME, Jensen, BW, Andreasen, AH, Petersen, J, Solem, EJ, Winther-Jensen, M & Plovsing, RRR 2023, 'PaCO2 trajectories in mechanically ventilated patients with COVID-19: A population-based cohort study', Acta Anaesthesiologica Scandinavica, vol. 67, no. 6, pp. 779-787. https://doi.org/10.1111/aas.14233

APA

Berg, R. M. G., Ronit, A., Haase, N., Moller, M. H., Kristiansen, K. T. T., Jonassen, T., Wamberg, C., Andreasen, A. S., Mohr, T., Bestle, M. H. H., Jorgensen, V. L. L., Hammer, N. R. R., Mitchell, A. U. U., Smitt, M., Greve, A. M., Nyeland, M. E., Jensen, B. W., Andreasen, A. H., Petersen, J., ... Plovsing, R. R. R. (2023). PaCO2 trajectories in mechanically ventilated patients with COVID-19: A population-based cohort study. Acta Anaesthesiologica Scandinavica, 67(6), 779-787. https://doi.org/10.1111/aas.14233

Vancouver

Berg RMG, Ronit A, Haase N, Moller MH, Kristiansen KTT, Jonassen T et al. PaCO2 trajectories in mechanically ventilated patients with COVID-19: A population-based cohort study. Acta Anaesthesiologica Scandinavica. 2023;67(6):779-787. https://doi.org/10.1111/aas.14233

Author

Berg, Ronan M. G. ; Ronit, Andreas ; Haase, Nicolai ; Moller, Morten Hylander ; Kristiansen, Klaus. T. T. ; Jonassen, Trine ; Wamberg, Christian ; Andreasen, Anne Sofie ; Mohr, Thomas ; Bestle, Morten. H. H. ; Jorgensen, Vibeke. L. L. ; Hammer, Niels. R. R. ; Mitchell, Anja. U. U. ; Smitt, Margit ; Greve, Anders Møller ; Nyeland, Martin Erik ; Jensen, Britt Wang ; Andreasen, Anne Helms ; Petersen, Janne ; Solem, Espen Jimenez ; Winther-Jensen, Matilde ; Plovsing, Ronni. R. R. / PaCO2 trajectories in mechanically ventilated patients with COVID-19 : A population-based cohort study. In: Acta Anaesthesiologica Scandinavica. 2023 ; Vol. 67, No. 6. pp. 779-787.

Bibtex

@article{f2b155ef3f254cbca4b71d9fa8a94efc,
title = "PaCO2 trajectories in mechanically ventilated patients with COVID-19: A population-based cohort study",
abstract = "Objective: To identify PaCO2 trajectories and assess their associations with mortality in critically ill patients with coronavirus disease 2019 (COVID-19) during the first and second waves of the pandemic in Denmark. Design: A population-based cohort study with retrospective data collection.Patients: All COVID-19 patients were treated in eight intensive care units (ICUs) in the Capital Region of Copenhagen, Denmark, between March 1, 2020 and March 31, 2021. Measurements: Data from the electronic health records were extracted, and latent class analyses were computed based on up to the first 3 weeks of mechanical ventilation to depict trajectories of PaCO2 levels. Multivariable Cox regression analyses were used to calculate adjusted hazard ratios (aHRs) for Simplified Acute Physiology Score 3, sex and age with 95% confidence intervals (CIs) for death according to PaCO2 trajectories. Main results: In latent class trajectory models, including 25,318 PaCO2 measurements from 244 patients, three PaCO2 latent class trajectories were identified: a low isocapnic (Class I; n = 130), a high isocapnic (Class II; n = 80), as well as a progressively hypercapnic (Class III; n = 34) trajectory. Mortality was higher in Class II [aHR: 2.16 {1.26-3.68}] and Class III [aHR: 2.97 {1.63-5.40}]) compared to Class I (reference). Conclusion: Latent class analysis of arterial blood gases in mechanically ventilated COVID-19 patients identified distinct PaCO2 trajectories, which were independently associated with mortality.",
keywords = "critical illness, hypercapnia, latent class trajectory model, mechanical ventilation, respiratory failure",
author = "Berg, {Ronan M. G.} and Andreas Ronit and Nicolai Haase and Moller, {Morten Hylander} and Kristiansen, {Klaus. T. T.} and Trine Jonassen and Christian Wamberg and Andreasen, {Anne Sofie} and Thomas Mohr and Bestle, {Morten. H. H.} and Jorgensen, {Vibeke. L. L.} and Hammer, {Niels. R. R.} and Mitchell, {Anja. U. U.} and Margit Smitt and Greve, {Anders M{\o}ller} and Nyeland, {Martin Erik} and Jensen, {Britt Wang} and Andreasen, {Anne Helms} and Janne Petersen and Solem, {Espen Jimenez} and Matilde Winther-Jensen and Plovsing, {Ronni. R. R.}",
year = "2023",
doi = "10.1111/aas.14233",
language = "English",
volume = "67",
pages = "779--787",
journal = "Acta Anaesthesiologica Scandinavica",
issn = "0001-5172",
publisher = "Wiley-Blackwell",
number = "6",

}

RIS

TY - JOUR

T1 - PaCO2 trajectories in mechanically ventilated patients with COVID-19

T2 - A population-based cohort study

AU - Berg, Ronan M. G.

AU - Ronit, Andreas

AU - Haase, Nicolai

AU - Moller, Morten Hylander

AU - Kristiansen, Klaus. T. T.

AU - Jonassen, Trine

AU - Wamberg, Christian

AU - Andreasen, Anne Sofie

AU - Mohr, Thomas

AU - Bestle, Morten. H. H.

AU - Jorgensen, Vibeke. L. L.

AU - Hammer, Niels. R. R.

AU - Mitchell, Anja. U. U.

AU - Smitt, Margit

AU - Greve, Anders Møller

AU - Nyeland, Martin Erik

AU - Jensen, Britt Wang

AU - Andreasen, Anne Helms

AU - Petersen, Janne

AU - Solem, Espen Jimenez

AU - Winther-Jensen, Matilde

AU - Plovsing, Ronni. R. R.

PY - 2023

Y1 - 2023

N2 - Objective: To identify PaCO2 trajectories and assess their associations with mortality in critically ill patients with coronavirus disease 2019 (COVID-19) during the first and second waves of the pandemic in Denmark. Design: A population-based cohort study with retrospective data collection.Patients: All COVID-19 patients were treated in eight intensive care units (ICUs) in the Capital Region of Copenhagen, Denmark, between March 1, 2020 and March 31, 2021. Measurements: Data from the electronic health records were extracted, and latent class analyses were computed based on up to the first 3 weeks of mechanical ventilation to depict trajectories of PaCO2 levels. Multivariable Cox regression analyses were used to calculate adjusted hazard ratios (aHRs) for Simplified Acute Physiology Score 3, sex and age with 95% confidence intervals (CIs) for death according to PaCO2 trajectories. Main results: In latent class trajectory models, including 25,318 PaCO2 measurements from 244 patients, three PaCO2 latent class trajectories were identified: a low isocapnic (Class I; n = 130), a high isocapnic (Class II; n = 80), as well as a progressively hypercapnic (Class III; n = 34) trajectory. Mortality was higher in Class II [aHR: 2.16 {1.26-3.68}] and Class III [aHR: 2.97 {1.63-5.40}]) compared to Class I (reference). Conclusion: Latent class analysis of arterial blood gases in mechanically ventilated COVID-19 patients identified distinct PaCO2 trajectories, which were independently associated with mortality.

AB - Objective: To identify PaCO2 trajectories and assess their associations with mortality in critically ill patients with coronavirus disease 2019 (COVID-19) during the first and second waves of the pandemic in Denmark. Design: A population-based cohort study with retrospective data collection.Patients: All COVID-19 patients were treated in eight intensive care units (ICUs) in the Capital Region of Copenhagen, Denmark, between March 1, 2020 and March 31, 2021. Measurements: Data from the electronic health records were extracted, and latent class analyses were computed based on up to the first 3 weeks of mechanical ventilation to depict trajectories of PaCO2 levels. Multivariable Cox regression analyses were used to calculate adjusted hazard ratios (aHRs) for Simplified Acute Physiology Score 3, sex and age with 95% confidence intervals (CIs) for death according to PaCO2 trajectories. Main results: In latent class trajectory models, including 25,318 PaCO2 measurements from 244 patients, three PaCO2 latent class trajectories were identified: a low isocapnic (Class I; n = 130), a high isocapnic (Class II; n = 80), as well as a progressively hypercapnic (Class III; n = 34) trajectory. Mortality was higher in Class II [aHR: 2.16 {1.26-3.68}] and Class III [aHR: 2.97 {1.63-5.40}]) compared to Class I (reference). Conclusion: Latent class analysis of arterial blood gases in mechanically ventilated COVID-19 patients identified distinct PaCO2 trajectories, which were independently associated with mortality.

KW - critical illness

KW - hypercapnia

KW - latent class trajectory model

KW - mechanical ventilation

KW - respiratory failure

U2 - 10.1111/aas.14233

DO - 10.1111/aas.14233

M3 - Journal article

C2 - 36915257

VL - 67

SP - 779

EP - 787

JO - Acta Anaesthesiologica Scandinavica

JF - Acta Anaesthesiologica Scandinavica

SN - 0001-5172

IS - 6

ER -

ID: 342926335