PURPOSE: Chest ultrasonography is currently a required element to achieve competence in general critical care ultrasound (GCCUS) which should be part of the training of every intensivist. We sought to assess the ability of resident novices in ultrasonography to identify and quantify unloculated pleural effusions in ICU patients after a limited training program. METHODS: A total of 147 patients (mean age, 62 ± 17 years; simplified acute physiology score II, 35 ± 15; 78 % ventilated) with a suspected pleural effusion underwent a thoracic ultrasonography performed successively by a recently trained resident novice in ultrasound and by an experienced intensivist with expertise in GCCUS, considered as reference. Ultrasonographic examinations were performed randomly and independently. In the presence of a pleural effusion, the maximal interpleural distance was measured at the thoracic base. RESULTS: Residents performed a mean of 15 ± 9 examinations. Agreement between residents and experienced intensivists for the diagnosis of left- and right-sided pleural effusions was good to excellent [kappa 0.74 (95 % CI 0.63-0.85) and 0.86 (95 % CI 0.78-0.94), respectively)]. Agreement for the measurement of left and right maximal interpleural distance was excellent (intraclass concordance coefficient, 0.86 [95 % CI 0.77-0.91] and 0.85 [95 % CI 0.75-0.90], respectively). Mean bias for left and right interpleural distance was -0.3 mm (95 % CI -2.4, 1.8 mm) and -1.2 mm (95 % CI -3.4, 1.1 mm), respectively. CONCLUSIONS: After a focused training program, resident novices in ultrasound identify and quantify unloculated pleural effusions in ICU patients using chest ultrasonography with a good agreement with experts.
PURPOSE: Chest ultrasonography is currently a required element to achieve competence in general critical care ultrasound (GCCUS) which should be part of the training of every intensivist. We sought to assess the ability of resident novices in ultrasonography to identify and quantify unloculated pleural effusions in ICU patients after a limited training program. METHODS: A total of 147 patients (mean age, 62 ± 17 years; simplified acute physiology score II, 35 ± 15; 78 % ventilated) with a suspected pleural effusion underwent a thoracic ultrasonography performed successively by a recently trained resident novice in ultrasound and by an experienced intensivist with expertise in GCCUS, considered as reference. Ultrasonographic examinations were performed randomly and independently. In the presence of a pleural effusion, the maximal interpleural distance was measured at the thoracic base. RESULTS: Residents performed a mean of 15 ± 9 examinations. Agreement between residents and experienced intensivists for the diagnosis of left- and right-sided pleural effusions was good to excellent [kappa 0.74 (95 % CI 0.63-0.85) and 0.86 (95 % CI 0.78-0.94), respectively)]. Agreement for the measurement of left and right maximal interpleural distance was excellent (intraclass concordance coefficient, 0.86 [95 % CI 0.77-0.91] and 0.85 [95 % CI 0.75-0.90], respectively). Mean bias for left and right interpleural distance was -0.3 mm (95 % CI -2.4, 1.8 mm) and -1.2 mm (95 % CI -3.4, 1.1 mm), respectively. CONCLUSIONS: After a focused training program, resident novices in ultrasound identify and quantify unloculated pleural effusions in ICU patients using chest ultrasonography with a good agreement with experts.
Authors: Giovanni Volpicelli; Mahmoud Elbarbary; Michael Blaivas; Daniel A Lichtenstein; Gebhard Mathis; Andrew W Kirkpatrick; Lawrence Melniker; Luna Gargani; Vicki E Noble; Gabriele Via; Anthony Dean; James W Tsung; Gino Soldati; Roberto Copetti; Belaid Bouhemad; Angelika Reissig; Eustachio Agricola; Jean-Jacques Rouby; Charlotte Arbelot; Andrew Liteplo; Ashot Sargsyan; Fernando Silva; Richard Hoppmann; Raoul Breitkreutz; Armin Seibel; Luca Neri; Enrico Storti; Tomislav Petrovic Journal: Intensive Care Med Date: 2012-03-06 Impact factor: 17.440
Authors: Paul H Mayo; Yannick Beaulieu; Peter Doelken; David Feller-Kopman; Christopher Harrod; Adolfo Kaplan; John Oropello; Antoine Vieillard-Baron; Olivier Axler; Daniel Lichtenstein; Eric Maury; Michel Slama; Philippe Vignon Journal: Chest Date: 2009-02-02 Impact factor: 9.410
Authors: Anna Maw; Cathy Jalali; Deanna Jannat-Khah; Kirana Gudi; Lia Logio; Arthur Evans; Stacy Anderson; Joshua Smith Journal: Med Educ Online Date: 2016-12-13