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Lung ultrasound score can predict COVID-19 pneumonia severity, study suggests
Spain: A recent study published in Medicina Clínica has described a lung ultrasound cutoff score that classifies pneumonia's severity for COVID-19.
The study showed lung ultrasound score (LUS) is a good predictor of 28-day mortality and poor outcome in COVID-19. This categorization will help establish an early prognosis for the patient and to guide the most suitable treatment on an individual basis.
LUS ≥20 cutoff point is linked with severe pneumonia, LUS 8-20 with moderate pneumonia, and ≤7 with mild pneumonia. The authors note that if a single cutoff point were used, LUS >15 would be the point that better discriminates mild from severe disease.
The usefulness of lung ultrasound has been explored in COVID-19 protocols, an easy-to-learn, nonionizing and repeatable technique. However, the investigators noted that no benchmark points had been addressed as optimal cutoffs for determining pneumonia severity.
Gil-Rodríguez Jaime and colleagues from Spain conducted a literature review to establish different cutoff points based on the Lung Ultrasound Score to categorize COVID-19 pneumonia severity.
For this purpose, the researchers systematically reviewed previously proposed LUS cutoff points. A single-centre prospective cohort study of adult patients with confirmed SARS-CoV-2 infection validated these results. Studied variables included 28-day mortality and poor outcomes (intensive care unit admission, ventilation support or 28-day mortality). 11 articles were included out of 510 reviewed, comprising 1,308 hospitalized patients with COVID-19 pneumonia.
The study revealed the following findings:
- Among the cutoff points proposed in the articles included, only the LUS >15 cutoff point could be validated for its original endpoint, also demonstrating the strongest relation with poor outcome (odds ratio [OR] = 3.636).
- Regarding the cohort, 127 patients were admitted. In these patients, LUS was statistically associated with poor outcomes (OR = 1.303) and 28-day mortality (OR = 1.024).
- LUS >15 showed the best diagnostic performance when choosing a single cutoff point in our cohort (area under the curve 0.650).
- LUS ≤7 showed high sensitivity to rule out poor outcomes (0.89), while LUS >20 revealed high specificity to predict poor outcomes (0.86).
"Our study's findings would help clinicians to predict COVID-19 outcomes better, as an LUS of seven and below can indicate mild pneumonia, while LUS above 20 likely indicate severe pneumonia," the authors wrote. "If a single cutoff point were used, LUS >15 would be the point which better differentiates mild from severe disease."
To conclude, LUS is a good predictor of 28-day mortality and poor outcome in COVID-19.
Reference:
Jaime, G., Michel, M., Alberto, B., Pablo, A., Ángel, M. M., José-Antonio, P., Daniel, F., Victoria-Carazo Javier, M. D., Emilio, G., & José, H. (2023). Lung Ultrasound Score severity cutoff points in COVID-19 pneumonia. A systematic review and validating cohort. Medicina Clínica. https://doi.org/10.1016/j.medcli.2023.01.024
MSc. Biotechnology
Medha Baranwal joined Medical Dialogues as an Editor in 2018 for Speciality Medical Dialogues. She covers several medical specialties including Cardiac Sciences, Dentistry, Diabetes and Endo, Diagnostics, ENT, Gastroenterology, Neurosciences, and Radiology. She has completed her Bachelors in Biomedical Sciences from DU and then pursued Masters in Biotechnology from Amity University. She has a working experience of 5 years in the field of medical research writing, scientific writing, content writing, and content management. She can be contacted at editorial@medicaldialogues.in. Contact no. 011-43720751
Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751