Unknown

Dataset Information

0

Lung Ultrasound Patterns and Clinical-Laboratory Correlates during COVID-19 Pneumonia: A Retrospective Study from North East Italy.


ABSTRACT:

Background and aim

Lung ultrasound (LUS) is a convenient imaging modality in the setting of coronavirus disease-19 (COVID-19) because it is easily available, can be performed bedside and repeated over time. We herein examined LUS patterns in relation to disease severity and disease stage among patients with COVID-19 pneumonia.

Methods

We performed a retrospective case series analysis of patients with confirmed SARS-CoV-2 infection who were admitted to the hospital because of pneumonia. We recorded history, clinical parameters and medications. LUS was performed and scored in a standardized fashion by experienced operators, with evaluation of up to 12 lung fields, reporting especially on B-lines and consolidations.

Results

We included 96 patients, 58.3% men, with a mean age of 65.9 years. Patients with a high-risk quick COVID-19 severity index (qCSI) were older and had worse outcomes, especially for the need for high-flow oxygen. B-lines and consolidations were located mainly in the lower posterior lung fields. LUS patterns for B-lines and consolidations were significantly worse in all lung fields among patients with high versus low qCSI. B-lines and consolidations were worse in the intermediate disease stage, from day 7 to 13 after onset of symptoms. While consolidations correlated more with inflammatory biomarkers, B-lines correlated more with end-organ damage, including extrapulmonary involvement.

Conclusions

LUS patterns provide a comprehensive evaluation of patients with COVID-19 pneumonia that correlated with severity and dynamically reflect disease stage. LUS patterns may reflect different pathophysiological processes related to inflammation or tissue damage; consolidations may represent a more specific sign of localized disease, whereas B-lines seem to be also dependent upon generalized illness due to SARS-CoV-2 infection.

SUBMITTER: Senter R 

PROVIDER: S-EPMC8004000 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC7861021 | biostudies-literature
| S-EPMC9979905 | biostudies-literature
2012-01-31 | GSE30118 | GEO
2012-01-31 | E-GEOD-30118 | biostudies-arrayexpress
| S-EPMC7160966 | biostudies-literature
| S-EPMC7283341 | biostudies-literature
| S-EPMC7280493 | biostudies-literature
| S-EPMC7470341 | biostudies-literature
| S-EPMC7360217 | biostudies-literature
| S-EPMC7431334 | biostudies-literature