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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Sanchez Giralt, J. A. Tusman, G. Wallin, M. Hallback, M. Perez Lucendo, A. Sanchez Galindo, M. Abad Santamaria, B. Paz Calzada, E. Garcia Garcia, P. Rodriguez Huerta, D. Canabal Berlanga, A. Suarez-Sipmann, Fernando |
| Abstract | Rationale End-expiratory lung volume (EELV) is reduced in mechanically ventilated patients, especially in pathologic conditions. The resulting heterogeneous distribution of ventilation increases the risk for ventilation induced lung injury. Clinical measurement of EELV however, remains difficult. Objective Validation of a novel continuous capnodynamic method based on expired carbon dioxide (CO2) kinetics for measuring EELV in mechanically ventilated critically-ill patients. Methods Prospective study of mechanically ventilated patients scheduled for a diagnostic computed tomography exploration. Comparisons were made between absolute and corrected EELVCO2 values, the latter accounting for the amount of CO2 dissolved in lung tissue, with the reference EELV measured by computed tomography (EELVCT). Uncorrected and corrected EELVCO2 was compared with total CT volume (density compartments between − 1000 and 0 Hounsfield units (HU) and functional CT volume, including density compartments of − 1000 to − 200HU eliminating regions of increased shunt. We used comparative statistics including correlations and measurement of accuracy and precision by the Bland Altman method. Measurements and main results Of the 46 patients included in the final analysis, 25 had a diagnosis of ARDS (24 of which COVID-19). Both EELVCT and EELVCO2 were significantly reduced (39 and 40% respectively) when compared with theoretical values of functional residual capacity (p < 0.0001). Uncorrected EELVCO2 tended to overestimate EELVCT with a correlation r2 0.58; Bias − 285 and limits of agreement (LoA) (+ 513 to − 1083; 95% CI) ml. Agreement improved for the corrected EELVCO2 to a Bias of − 23 and LoA of (+ 763 to − 716; 95% CI) ml. The best agreement of the method was obtained by comparison of corrected EELVCO2 with functional EELVCT with a r2 of 0.59; Bias − 2.75 (+ 755 to − 761; 95% CI) ml. We did not observe major differences in the performance of the method between ARDS (most of them COVID related) and non-ARDS patients. Conclusion In this first validation in critically ill patients, the capnodynamic method provided good estimates of both total and functional EELV. Bias improved after correcting EELVCO2 for extra-alveolar CO2 content when compared with CT estimated volume. If confirmed in further validations EELVCO2 may become an attractive monitoring option for continuously monitor EELV in critically ill mechanically ventilated patients. Trial registration: clinicaltrials.gov (NCT04045262). |
| Related Links | https://ccforum.biomedcentral.com/counter/pdf/10.1186/s13054-024-04928-w.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 13648535 |
| DOI | 10.1186/s13054-024-04928-w |
| Journal | Critical Care |
| Issue Number | 1 |
| Volume Number | 28 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-04-30 |
| Access Restriction | Open |
| Subject Keyword | Intensive Critical Care Medicine Emergency Medicine End-expiratory lung volume Mechanical ventilation Ventilation induced lung injury Lung strain Respiratory monitoring Carbon dioxide kinetics Volumetric capnography |
| Content Type | Text |
| Resource Type | Article |
| Subject | Critical Care and Intensive Care Medicine |
| Journal Impact Factor | 8.8/2023 |
| 5-Year Journal Impact Factor | 10.4/2023 |
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