1. Lung ultrasound for the early diagnosis of COVID-19 pneumonia: an international multicenter study
- Author
-
Volpicelli, G., Gargani, L., Perlini, S., Spinelli, S., Barbieri, G., Lanotte, A., Casasola, G. G., Nogue-Bou, R., Lamorte, A., Agricola, E., Villen, T., Deol, P. S., Nazerian, P., Corradi, F., Stefanone, V., Fraga, D. N., Navalesi, P., Ferre, R., Boero, E., Martinelli, G., Cristoni, L., Perani, C., Vetrugno, L., Mcdermott, C., Miralles-Aguiar, F., Secco, G., Zattera, C., Salinaro, F., Grignaschi, A., Boccatonda, A., Giostra, F., Infante, M. N., Covella, M., Ingallina, G., Burkert, J., Frumento, P., Forfori, F., Ghiadoni, L., Fraccalini, T., Vendrame, A., Basile, V., Cipriano, A., Frassi, F., Santini, M., Falcone, M., Menichetti, F., Barcella, B., Delorenzo, M., Resta, F., Vezzoni, G., Bonzano, M., Briganti, D. F., Cappa, G., Zunino, I., Demitry, L., Vignaroli, D., Dipietro, L. S. S., Bazzini, M., Capozza, V., Gonzalez, M. M., Gibal, R. V., Ibarz, R. P., Alfaro, L. M., Alfaro, C. M., Alins, M. G., Brown, A., Dunlop, H., Ralli, M. L., Persona, P., Russel, F. M., Pang, P. S., Rovida, S., Deana, C., Franchini, D., Gargani, Luna, Volpicelli, G., Gargani, L., Perlini, S., Spinelli, S., Barbieri, G., Lanotte, A., Casasola, G. G., Nogue-Bou, R., Lamorte, A., Agricola, E., Villen, T., Deol, P. S., Nazerian, P., Corradi, F., Stefanone, V., Fraga, D. N., Navalesi, P., Ferre, R., Boero, E., Martinelli, G., Cristoni, L., Perani, C., Vetrugno, L., Mcdermott, C., Miralles-Aguiar, F., Secco, G., Zattera, C., Salinaro, F., Grignaschi, A., Boccatonda, A., Giostra, F., Infante, M. N., Covella, M., Ingallina, G., Burkert, J., Frumento, P., Forfori, F., Ghiadoni, L., Fraccalini, T., Vendrame, A., Basile, V., Cipriano, A., Frassi, F., Santini, M., Falcone, M., Menichetti, F., Barcella, B., Delorenzo, M., Resta, F., Vezzoni, G., Bonzano, M., Briganti, D. F., Cappa, G., Zunino, I., Demitry, L., Vignaroli, D., Dipietro, L. S. S., Bazzini, M., Capozza, V., Gonzalez, M. M., Gibal, R. V., Ibarz, R. P., Alfaro, L. M., Alfaro, C. M., Alins, M. G., Brown, A., Dunlop, H., Ralli, M. L., Persona, P., Russel, F. M., Pang, P. S., Rovida, S., Deana, C., and Franchini, D.
- Subjects
Adult ,medicine.medical_specialty ,Multivariate analysis ,Letter ,Coronavirus disease 2019 (COVID-19) ,Original ,COVID-19 ,Interstitial pneumonia ,Lung ultrasound ,SARS-CoV-2 ,Critical Care and Intensive Care Medicine ,03 medical and health sciences ,0302 clinical medicine ,Anesthesiology ,Internal medicine ,medicine ,Humans ,Lung ,Aged ,Ultrasonography ,business.industry ,030208 emergency & critical care medicine ,Odds ratio ,Middle Aged ,medicine.disease ,Confidence interval ,Pneumonia ,Early Diagnosis ,030228 respiratory system ,Respiratory failure ,Observational study ,business - Abstract
Purpose To analyze the application of a lung ultrasound (LUS)-based diagnostic approach to patients suspected of COVID-19, combining the LUS likelihood of COVID-19 pneumonia with patient’s symptoms and clinical history. Methods This is an international multicenter observational study in 20 US and European hospitals. Patients suspected of COVID-19 were tested with reverse transcription-polymerase chain reaction (RT-PCR) swab test and had an LUS examination. We identified three clinical phenotypes based on pre-existing chronic diseases (mixed phenotype), and on the presence (severe phenotype) or absence (mild phenotype) of signs and/or symptoms of respiratory failure at presentation. We defined the LUS likelihood of COVID-19 pneumonia according to four different patterns: high (HighLUS), intermediate (IntLUS), alternative (AltLUS), and low (LowLUS) probability. The combination of patterns and phenotypes with RT-PCR results was described and analyzed. Results We studied 1462 patients, classified in mild (n = 400), severe (n = 727), and mixed (n = 335) phenotypes. HighLUS and IntLUS showed an overall sensitivity of 90.2% (95% CI 88.23–91.97%) in identifying patients with positive RT-PCR, with higher values in the mixed (94.7%) and severe phenotype (97.1%), and even higher in those patients with objective respiratory failure (99.3%). The HighLUS showed a specificity of 88.8% (CI 85.55–91.65%) that was higher in the mild phenotype (94.4%; CI 90.0–97.0%). At multivariate analysis, the HighLUS was a strong independent predictor of RT-PCR positivity (odds ratio 4.2, confidence interval 2.6–6.7, p
- Published
- 2021