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BACKGROUND: The role of bronchoscopy in coronavirus disease 2019 (COVID-19) is a matter of debate. PATIENTS AND METHODS: This observational multicentre study aimed to analyse the prognostic impact of bronchoscopic findings in a consecutive cohort of patients with suspected or confirmed COVID-19. Patients were enrolled at 17 hospitals from February to June 2020. Predictors of in-hospital mortality were assessed by multivariate logistic regression. RESULTS: A total of 1027 bronchoscopies were performed in 515 patients (age 61.5±11.2 years; 73% men), stratified into a clinical suspicion cohort (n=30) and a COVID-19 confirmed cohort (n=485). In the clinical suspicion cohort, the diagnostic yield was 36.7%. In the COVID-19 confirmed cohort, bronchoscopies were predominantly performed in the intensive care unit (n=961; 96.4%) and major indications were: difficult mechanical ventilation (43.7%), mucus plugs (39%) and persistence of radiological infiltrates (23.4%). 147 bronchoscopies were performed to rule out superinfection, and diagnostic yield was 42.9%. There were abnormalities in 91.6% of bronchoscopies, the most frequent being mucus secretions (82.4%), haematic secretions (17.7%), mucus plugs (17.6%), and diffuse mucosal hyperaemia (11.4%). The independent predictors of in-hospital mortality were: older age (OR 1.06; p<0.001), mucus plugs as indication for bronchoscopy (OR 1.60; p=0.041), absence of mucosal hyperaemia (OR 0.49; p=0.041) and the presence of haematic secretions (OR 1.79; p=0.032). CONCLUSION: Bronchoscopy may be indicated in carefully selected patients with COVID-19 to rule out superinfection and solve complications related to mechanical ventilation. The presence of haematic secretions in the distal bronchial tract may be considered a poor prognostic feature in COVID-19.

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INTRODUCCIÓN: El objetivo principal es analizar la variabilidad técnica de la EBUS-elastografía para diferenciar entre adenopatías hiliares y mediastínicas benignas y malignas. Como objetivo secundario, se analizan los resultados de la EBUS-elastografía en dicha diferenciación, comparándolos con los resultados anatomopatológicos. MATERIAL Y MÉTODOS: Estudio analítico prospectivo de adenopatías consecutivas en las que se realizó EBUS-elastografía. Se analizan las variables elastográficas y la variabilidad técnica de la EBUS-elastografía. RESULTADOS: Muestra de 24 pacientes, 38 adenopatías. El 60,5% presentaban antecedentes de neoplasia. El 71% tenían intención diagnóstica, el 53% para estadificación mediastínica de una neoplasia conocida; el 25% de los casos con doble intención. Se clasificaron las adenopatías en patrones de color elastográficos, siendo el rojo propio de tejidos elásticos y el azul de rígidos. Las adenopatías con patrón de color predominantemente azul se asociaron con resultado anatomopatológico de malignidad (86% vs. 14%, OR 20,4 (3,1-245,1) p = 0,00015). Se evidenció menor dispersión del color en los histogramas de frecuencias y mayor ratio de píxeles azules y strain ratio en adenopatías con resultado AP de malignidad frente a benignas. Dichas variables presentaron respectivamente 8,7, 9,9 y 31,6% de variabilidad en las repeticiones dentro de la misma adenopatía. Se obtuvo un 66% de consistencia en el caso de los patrones de colores (p = 0,000). CONCLUSIONES: EBUS-elastografía es una herramienta diagnóstica de estudio tisular factible durante la realización de EBUS, capaz de predecir la presencia de infiltración maligna ganglionar. Los datos cuantitativos elastográficos muestran escasa variabilidad en repeticiones dentro de la misma adenopatía, siendo el strain ratio el parámetro elastográfico más variable

INTRODUCTION: The main objective was to analyze the technical variability of EBUS-elastography in the differentiation of benign and malignant hilar and mediastinal lymph nodes. As a secondary objective, the results of the EBUS-elastography in said differentiation were analyzed, comparing them with the anatomopathological results. MATERIAL AND METHODS: Prospective and analytical study of lymph nodes in which EBUS-elastography was performed. Elastographic variables and their variability were analyzed. RESULTS: 24 patients and 38 lymph nodes were evaluated. Of these, 60.5% had a history of neoplasia, 71% of them were EBUS-elastography with diagnostic intention, 53% were mediastinal staging of lung cancer. Both procedures were performed in 25% of the patients. Lymph nodes were classified into elastographic colour patterns, red being characteristic of elastic tissues and blue of rigid tissues. The lymphadenopathies with apredominantly blue pattern were associated with an anatomopathological result of malignancy (86% vs. 14%, OR 20.4 (3.1 -245.1) p-value = .00015). Malignant lymph nodes presented less colour dispersion in the frequency histograms and a higher ratio of blue pixels and higher strain ratio. These variables showed a variability of 8.7, 9.9 and 31.6% respectively in repetitions in the same adenopathy. Finally, a 66% of consistency was obtained in the event of colour pattern variability (p .0000). CONCLUSIONS: EBUS-elastography is feasible during EBUS and may be helpful in predicting malignant lymph node infiltration. The quantitative elastographic data show low variability in repetitions in the same adenopathy. The strain ratio is the most variable elastographic parameter

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INTRODUCTION: The main objective was to analyze the technical variability of EBUS-elastography in the differentiation of benign and malignant hilar and mediastinal lymph nodes. As a secondary objective, the results of the EBUS-elastography in said differentiation were analyzed, comparing them with the anatomopathological results. MATERIAL AND METHODS: Prospective and analytical study of lymph nodes in which EBUS-elastography was performed. Elastographic variables and their variability were analyzed. RESULTS: 24 patients and 38 lymph nodes were evaluated. Of these, 60.5% had a history of neoplasia, 71% of them were EBUS-elastography with diagnostic intention, 53% were mediastinal staging of lung cancer. Both procedures were performed in 25% of the patients. Lymph nodes were classified into elastographic colour patterns, red being characteristic of elastic tissues and blue of rigid tissues. The lymphadenopathies with apredominantly blue pattern were associated with an anatomopathological result of malignancy (86% vs. 14%, OR 20.4 (3.1 -245.1) p-value = .00015). Malignant lymph nodes presented less colour dispersion in the frequency histograms and a higher ratio of blue pixels and higher strain ratio. These variables showed a variability of 8.7, 9.9 and 31.6% respectively in repetitions in the same adenopathy. Finally, a 66% of consistency was obtained in the event of colour pattern variability (p .0000). CONCLUSIONS: EBUS-elastography is feasible during EBUS and may be helpful in predicting malignant lymph node infiltration. The quantitative elastographic data show low variability in repetitions in the same adenopathy. The strain ratio is the most variable elastographic parameter.

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BACKGROUND: The aim of this study was to explore elastography features and its ability to distinguish between benign and malignant lymph nodes by comparing the results with an anatomopathologic examination used as gold standard. METHODS: Patients were randomized in 2 groups [endobronchial ultrasound (EBUS) and EBUS-elastography]. Echographic characteristics of the lymph nodes were collected in both categories. In the EBUS-elastography group, elastographic data were also determined. RESULTS: A total of 100 lymph nodes were evaluated. Group 1 (EBUS) consisted of 57 lymph nodes. Group 2 (EBUS-elastography) included 43 lymph nodes. In group 2, lymph nodes with predominantly blue pattern were associated with a pathologic determination of malignancy, and the probability of presenting malignant infiltration with this color pattern was 86.7% (P=0.00004). Malignant lymph nodes presented less color dispersion (48.8 vs. 94.8, P=0.00013), higher ratio of blue pixels (66% vs. 32.5%, P=0.016), and higher strain ratio (7.1 vs. 2.48, P=0.005). The cut-off points to distinguish between benign and malignant lymph nodes were 4 for strain ratio, 61 for frequency histograms, and 52 for blue pixel ratio. The area under the curve of the ROC curves were 0.75, 0.83, and 0.87, respectively. Group 2 presented a lower number of nondiagnostic samples (2.3% vs. 21%, P=0.001) and a higher rate of malignant results (42% vs. 16%, P=0.005). CONCLUSION: EBUS-elastography is feasible during EBUS and may be helpful in predicting malignant lymph node infiltration. It could improve anatomopathologic sample collection and increase diagnostic efficiency.

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