Literature DB >> 17525585

Incidence of chest tube malposition in the critically ill: a prospective computed tomography study.

Francis Remérand1, Virginie Luce, Yasmina Badachi, Qin Lu, Belaïd Bouhemad, Jean-Jacques Rouby.   

Abstract

BACKGROUND: Malposition of percutaneously inserted chest tubes is considered as a rare complication in critically ill patients. Its incidence, however, remains uncertain. The aims of the study were to assess the true incidence of chest tube malposition in critically ill patients and to identify predicting factors.
METHODS: The authors prospectively studied 122 chest tubes percutaneously inserted in 75 consecutive critically ill patients. For clinical reasons independent of the study, thoracic computed tomography scanning was performed in 63 patients, allowing direct visualization of 106 chest tubes. Based on these findings, chest tube position was classified as intrapleural, intrafissural, or intraparenchymal. Factors predicting chest tube malposition were analyzed by univariate and multivariate analysis.
RESULTS: The mean delay between chest tube placement and thoracic scan was 3.5+/-2.9 days. Twenty-two chest tubes were diagnosed as being intrafissural (21%), and 10 were diagnosed as being intraparenchymal (9%). The only predicting factor associated with the risk of malposition was the use of a trocar for the percutaneous insertion of the chest tube (P=0.032).
CONCLUSIONS: Malposition was detected in 30% of percutaneously inserted chest tubes, a higher incidence than previously reported. Avoiding the use of a trocar may reduce significantly the incidence of chest tube malposition.

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Year:  2007        PMID: 17525585     DOI: 10.1097/01.anes.0000267594.80368.01

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  22 in total

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2.  [Damage of the subclavian vein with a thorax drainage].

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5.  An unusual complication of pigtail catheter insertion.

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Review 6.  Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?

Authors:  Xin Yi; Scott J Adams; Robert D E Henderson; Paul Babyn
Journal:  Radiol Artif Intell       Date:  2020-01-29

7.  Multiplane ultrasound approach to quantify pleural effusion at the bedside.

Authors:  Francis Remérand; Jean Dellamonica; Zhang Mao; Fabio Ferrari; Belaïd Bouhemad; Yang Jianxin; Charlotte Arbelot; Qin Lu; Carole Ichaï; Jean-Jacques Rouby
Journal:  Intensive Care Med       Date:  2010-02-06       Impact factor: 17.440

8.  Unusual Malposition of a Chest Tube, Intrathoracic but Extrapleural.

Authors:  Alqasem Fuad H Al Mosa; Mohammed Ishaq; Mohamed Hussein Mohamed Ahmed
Journal:  Case Rep Radiol       Date:  2018-08-06

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10.  X-ray indices of chest drain malposition after insertion for drainage of pneumothorax in mechanically ventilated critically ill patients.

Authors:  Masego Candy Mokotedi; Lukas Lambert; Lucie Simakova; Michal Lips; Michal Zakharchenko; Jan Rulisek; Martin Balik
Journal:  J Thorac Dis       Date:  2018-10       Impact factor: 2.895

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