Compartir
Título
Usefulness of conventional pleural drainage systems to predict the occurrence of prolonged air leak after anatomical pulmonary resection
Autor(es)
Palabras clave
Pulmonary resection
Prolonged air leak
Pleural drainage systems
Clasificación UNESCO
3213 Cirugía
3205.08 Enfermedades Pulmonares
3201.01 Oncología
Fecha de publicación
2015
Editor
Oxford University Press
Citación
Rodríguez, M., Jiménez, M. F., Hernández, M. T. G., Novoa, N. M., Aranda, J. L., y Varela, G. (2015). Usefulness of conventional pleural drainage systems to predict the occurrence of prolonged air leak after anatomical pulmonary resection. European Journal of Cardio-Thoracic Surgery, 48(4), 612-615. https://doi.org/10.1093/ejcts/ezu470
Resumen
[EN] OBJECTIVES: One of the reported advantages of digital pleural drainage system is the possibility of predicting the occurrence of prolonged
air leak (PAL) based on the recorded pleural pressures and/or air flow through chest tubes. Nevertheless, this fact has never been well supported.
The objective of this investigation is to evaluate if the occurrence of PAL can accurately be predicted using clinical data and air leak
measurements 24 h after lung resection on conventional pleural drainage system (CPDS).
METHODS: Prospective observational study on 100 consecutive non-complicated patients undergoing anatomical lung resection (segmentectomy,
lobectomy or bilobectomy). Prior to the operation, the risk of PAL was evaluated according to the score previously published.
Twenty-four hours after surgery, two independent observers measured the air flow at forced deep expiration on a CPDS with
graduated analogical leak monitor. The agreement between both observers was determined and in case of discrepancy, the mean of both
observations was calculated. After discharge, the occurrence of PAL (defined as persistent air leak 5 or more days after the operation) was
recorded. A logistic regression model was constructed including two independent categorical variables (PAL score and air flow) and the
performance of the model was assessed by non-parametric receiver operating characteristic curves.
RESULTS: The series includes 81 lobectomies, 8 bilobectomies and 11 anatomical segmentectomies. Median preoperative PAL score was 1
(range 0–3.5). Any postoperative air flow was observed in 30 cases with a median value of 0 (0–3.5). The prevalence of PAL in the series was 10%
(10 of 100 cases). Both independent variables entered in the multivariate model (PAL score P = 0.050, air flow: 0.016) and C-index was 0.83.
CONCLUSION: The performance of this simple predictive model, without any electronic recording, warrants a larger multi-institutional
study to validate its usefulness in clinical decision-making regarding the management of patients with air leak after lung resection.
URI
ISSN
1010-7940
DOI
10.1093/ejcts/ezu470
Versión del editor
Aparece en las colecciones
Fichier(s) constituant ce document
Tamaño:
123.5Ko
Formato:
Adobe PDF
Descripción:
Artículo













