1
|
Li D, Jackson K, Panchal R, Aujayeb A. Local Anaesthetic Thoracoscopy for Pleural Effusion-A Narrative Review. Healthcare (Basel) 2022; 10:healthcare10101978. [PMID: 36292425 PMCID: PMC9601808 DOI: 10.3390/healthcare10101978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 10/06/2022] [Accepted: 10/07/2022] [Indexed: 11/04/2022] Open
Abstract
The incidence of pleural disease is increasing, and interventions are crucial in this subspecialist area of respiratory medicine. One of the cornerstones of pleural effusion investigation and management is medical, which is also known as local anaesthetic thoracoscopy. This allows fluid drainage, biopsy for diagnosis and preventative measures for further fluid potential build-up. This article summarises the evidence around this procedure through a narrative review of the available evidence.
Collapse
Affiliation(s)
- Dana Li
- Institute for Lung Health, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester LE3 9QP, UK
| | - Karl Jackson
- Respiratory Department, Northumbria Health Care NHS Foundation Trust, Care of Gail Hewitt, Newcastle NE23 6NZ, UK
| | - Rakesh Panchal
- Institute for Lung Health, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester LE3 9QP, UK
| | - Avinash Aujayeb
- Respiratory Department, Northumbria Health Care NHS Foundation Trust, Care of Gail Hewitt, Newcastle NE23 6NZ, UK
- Correspondence:
| |
Collapse
|
2
|
Grosu HB, Kern R, Maldonado F, Casal R, Andersen CR, Li L, Eapen G, Ost D, Jimenez C, Frangopoulos F, Sabath B, Vakil E, Schwalk A, Marcoux M, Sagar AE, Nasim F, Lin J, Salahudin M, Arain HM, Noor L, Montanez D, Stewart J, Mullon J, Michael M, Porfyridis I. Predicting malignant pleural effusion during diagnostic pleuroscopy with biopsy: A prospective multicentre study. Respirology 2022; 27:350-356. [PMID: 35178828 DOI: 10.1111/resp.14232] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/12/2022] [Accepted: 02/08/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND AND OBJECTIVE Pleuroscopy with pleural biopsy has a high sensitivity for malignant pleural effusion (MPE). Because MPEs tend to recur, concurrent diagnosis and treatment of MPE during pleuroscopy is desired. However, proceeding directly to treatment at the time of pleuroscopy requires confidence in the on-site diagnosis. The study's primary objective was to create a predictive model to estimate the probability of MPE during pleuroscopy. METHODS A prospective observational multicentre cohort study of consecutive patients undergoing pleuroscopy was conducted. We used a logistic regression model to evaluate the probability of MPE with relation to visual assessment, rapid on-site evaluation (ROSE) of touch preparation and presence of pleural nodules/masses on computed tomography (CT). To assess the model's prediction accuracy, a bootstrapped training/testing approach was utilized to estimate the cross-validated area under the receiver operating characteristic curve. RESULTS Of the 201 patients included in the study, 103 had MPE. Logistic regression showed that higher level of malignancy on visual assessment is associated with higher odds of MPE (OR = 34.68, 95% CI = 9.17-131.14, p < 0.001). The logistic regression also showed that higher level of malignancy on ROSE of touch preparation is associated with higher odds of MPE (OR = 11.63, 95% CI = 3.85-35.16, p < 0.001). Presence of pleural nodules/masses on CT is associated with higher odds of MPE (OR = 6.61, 95% CI = 1.97-22.1, p = 0.002). A multivariable logistic regression model of final pathologic status with relation to visual assessment, ROSE of touch preparation and presence of pleural nodules/masses on CT had a cross-validated AUC of 0.94 (95% CI = 0.91-0.97). CONCLUSION A prediction model using visual assessment, ROSE of touch preparation and CT scan findings demonstrated excellent predictive accuracy for MPE. Further validation studies are needed to confirm our findings.
Collapse
Affiliation(s)
- Horiana B Grosu
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ryan Kern
- Pulmonary Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Fabien Maldonado
- Division of Allergy, Pulmonary And Critical Care Medicine, Vanderbilt University, Nashville, Tennessee, USA
| | - Roberto Casal
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Clark R Andersen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Georgie Eapen
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - David Ost
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Carlos Jimenez
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Bruce Sabath
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Erik Vakil
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Audra Schwalk
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Mathieu Marcoux
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ala Eddin Sagar
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Faria Nasim
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Julie Lin
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Moiz Salahudin
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hasan Muhammad Arain
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Laila Noor
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Diana Montanez
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - John Stewart
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - John Mullon
- Pulmonary Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Michalis Michael
- Cytopathology Department, Nicosia General Hospital, Nicosia, Cyprus
| | | |
Collapse
|