Comparison of lung ultrasound technique versus clinical method to evaluate the accuracy of size and placement of left endobronchial double lumen tube in patients undergoing elective thoracic surgery: a prospective observational study.
Monaldi Arch Chest Dis
; 2023 Sep 18.
Article
em En
| MEDLINE
| ID: mdl-37731374
ABSTRACT
Anthropometric measurements like height and gender have been frequently found to be inaccurate in prediction of size of double lumen tube (DLT). A tracheal ultrasonography (TUS) is a technique that can be used to predict the size of DLT and its correct placement for lung isolation. We aim to check the accuracy of ultrasound over clinical methods. This prospective study included 68 patients undergoing elective thoracic surgery requiring one-lung ventilation (OLV) with DLT. The groups were assessed for the size of DLT by either anthropometric measurement using height and gender (Group C) or ultrasound method (Group U). Further, the accuracy of placement of DLT was assessed through, either lung auscultation in group C or various ultrasonographic and ventilatory parameters such as lung isolation in the first attempt (lung sliding and lung pulse sign), oxygenation status and peak airway pressure, in group U. Surgeon satisfaction score was also compared in both the groups. The accuracy of predicted DLT size between Group C and Group U was statistically significant (p=0.044). In Group C, 56% of patients showed a mismatch between the predicted DLT size and the actual size required, while in Group U, the mismatch was only 32.4%. The accuracy of DLT placement through group C was 41% as compared to 79% in Group U. Surgeon satisfaction score was also significantly higher in Group U as compared to Group C (p=0.0028). Thus, our study suggests that tracheal and chest ultrasonography for DLT size selection and placement for lung isolation is superior to clinical methods.
Texto completo:
1
Eixos temáticos:
Pesquisa_clinica
Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article