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Objectives: To prospectively evaluate lung ultrasound in comparison with radiography and computed tomography (CT) for detecting HIV-related lung diseases.
Methods: Ultrasound examinations in HIV-positive patients were evaluated by three raters; available conventional imaging was evaluated by another rater. Results were compared with each other and the definite diagnosis. Interrater reliability was calculated for each finding.
Results: Eighty HIV-positive patients received lung ultrasound examinations; 74 received conventional imaging. The overall sensitivity was 97.5% for CT, 90.7% for ultrasound and 78.1% for radiography. The most common diagnoses were Pneumocystis jirovecii pneumonia (21 cases) and bacterial pneumonia (17 cases). The most frequent and sensitive ultrasonographic findings were interstitial abnormalities indicated by B-lines, independent of the aetiology. Interrater reliability was high for interstitial abnormalities (ICC=0.82). The interrater reliability for consolidations and effusion increased during the study (r=0.88 and r=0.37, respectively).
Conclusions: Ultrasound is a fast, reliable and sensitive point-of-care tool, particularly in detecting interstitial lung disease, which is common in HIV-associated illness. It does not effectively discriminate between different aetiologies. A longer learning period might be required to reliably identify consolidations and effusions.
The current SARS-CoV-2 outbreak leads to a growing need of point-of-care thoracic imaging that is compatible with isolation settings and infection prevention precautions. We retrospectively reviewed 17 COVID-19 patients who received point-of-care lung ultrasound imaging in our isolation unit. Lung ultrasound was able to detect interstitial lung disease effectively; severe cases showed bilaterally distributed B-Lines with or without consolidations; one case showed bilateral pleural plaques. Corresponding to CT scans, interstitial involvement is accurately depicted as B-Lines on lung ultrasound. Lung ultrasound might be suitable for detecting interstitial involvement in a bedside setting under high security isolation precautions.