Automated left atrial strain analysis for predicting atrial fibrillation in severe COVID-19 pneumonia: a prospective study.
Atrial fibrillation
COVID-19
Intensive care unit
Left atrial strain
Pneumonia
Journal
Annals of intensive care
ISSN: 2110-5820
Titre abrégé: Ann Intensive Care
Pays: Germany
ID NLM: 101562873
Informations de publication
Date de publication:
07 Dec 2021
07 Dec 2021
Historique:
received:
31
05
2021
accepted:
21
11
2021
entrez:
7
12
2021
pubmed:
8
12
2021
medline:
8
12
2021
Statut:
epublish
Résumé
Atrial fibrillation (AF) is the most documented arrhythmia in COVID-19 pneumonia. Left atrial (LA) strain (LAS) analysis, a marker of LA contractility, have been associated with the development of AF in several clinical situations. We aimed to assess the diagnostic ability of LA strain parameters to predict AF in patients with severe hypoxemic COVID-19 pneumonia. We conducted a prospective single center study in Amiens University Hospital intensive care unit (ICU) (France). Adult patients with severe or critical COVID-19 pneumonia according to the World Health Organization definition and in sinus rhythm were included. Transthoracic echocardiography was performed within 48 h of ICU admission. LA strain analysis was performed by an automated software. The following LA strain parameters were recorded: LA strain during reservoir phase (LASr), LA strain during conduit phase (LAScd) and LA strain during contraction phase (LASct). The primary endpoint was the occurrence of AF during ICU stay. From March 2020 to February of 2021, 79 patients were included. Sixteen patients (20%) developed AF in ICU. Patients of the AF group were significantly older with a higher SAPS II score than those without AF. LAScd and LASr were significantly more impaired in the AF group compared to the other group (- 8.1 [- 6.3; - 10.9] vs. - 17.2 [- 5.0; - 10.2] %; P < 0.001 and 20.2 [12.3;27.3] % vs. 30.5 [23.8;36.2] %; P = 0.002, respectively), while LASct did not significantly differ between groups (p = 0.31). In a multivariate model, LAScd and SOFA cv were significantly associated with the occurrence of AF. A LAScd cutoff value of - 11% had a sensitivity of 76% and a specificity of 75% to identify patients with AF. The 30-day cumulative risk of AF was 42 ± 9% with LAScd > - 11% and 8 ± 4% with LAScd ≤ - 11% (log rank test P value < 0.0001). For patients with severe COVID-19 pneumonia, development of AF during ICU stay is common (20%). LAS parameters seem useful in predicting AF within the first 48 h of ICU admission. NCT04354558.
Sections du résumé
BACKGROUND
BACKGROUND
Atrial fibrillation (AF) is the most documented arrhythmia in COVID-19 pneumonia. Left atrial (LA) strain (LAS) analysis, a marker of LA contractility, have been associated with the development of AF in several clinical situations. We aimed to assess the diagnostic ability of LA strain parameters to predict AF in patients with severe hypoxemic COVID-19 pneumonia. We conducted a prospective single center study in Amiens University Hospital intensive care unit (ICU) (France). Adult patients with severe or critical COVID-19 pneumonia according to the World Health Organization definition and in sinus rhythm were included. Transthoracic echocardiography was performed within 48 h of ICU admission. LA strain analysis was performed by an automated software. The following LA strain parameters were recorded: LA strain during reservoir phase (LASr), LA strain during conduit phase (LAScd) and LA strain during contraction phase (LASct). The primary endpoint was the occurrence of AF during ICU stay.
RESULTS
RESULTS
From March 2020 to February of 2021, 79 patients were included. Sixteen patients (20%) developed AF in ICU. Patients of the AF group were significantly older with a higher SAPS II score than those without AF. LAScd and LASr were significantly more impaired in the AF group compared to the other group (- 8.1 [- 6.3; - 10.9] vs. - 17.2 [- 5.0; - 10.2] %; P < 0.001 and 20.2 [12.3;27.3] % vs. 30.5 [23.8;36.2] %; P = 0.002, respectively), while LASct did not significantly differ between groups (p = 0.31). In a multivariate model, LAScd and SOFA cv were significantly associated with the occurrence of AF. A LAScd cutoff value of - 11% had a sensitivity of 76% and a specificity of 75% to identify patients with AF. The 30-day cumulative risk of AF was 42 ± 9% with LAScd > - 11% and 8 ± 4% with LAScd ≤ - 11% (log rank test P value < 0.0001).
CONCLUSION
CONCLUSIONS
For patients with severe COVID-19 pneumonia, development of AF during ICU stay is common (20%). LAS parameters seem useful in predicting AF within the first 48 h of ICU admission.
TRIAL REGISTRATION
BACKGROUND
NCT04354558.
Identifiants
pubmed: 34874509
doi: 10.1186/s13613-021-00955-w
pii: 10.1186/s13613-021-00955-w
pmc: PMC8649321
doi:
Banques de données
ClinicalTrials.gov
['NCT04354558']
Types de publication
Journal Article
Langues
eng
Pagination
168Informations de copyright
© 2021. The Author(s).
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