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Ability of non-physicians to perform and interpret lung ultrasound: A systematic review

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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BACKGROUND: Lung ultrasound is a useful tool in the assessment of pulmonary congestion in heart failure that is typically performed and interpreted by physicians at the point-of-care.

AIMS: To investigate the ability of nurses, students, and paramedics to accurately identify B-lines and pleural effusions for the detection of pulmonary congestion in heart failure and to examine the training necessary.

METHODS AND RESULTS: We conducted a systematic review and searched online databases for studies that investigated the ability of nurses, students, and paramedics to perform lung ultrasound and detect B-lines and pleural effusions. Of 979 studies identified, 14 met our inclusion criteria: five in nurses, eight in students, and one in paramedics. After 0-12 h of didactic training and 58-62 practice lung ultrasound examinations, nurses were able to identify B-lines and pleural effusions with a sensitivity of 79-98% and a specificity of 70-99%. In image adequacy studies, medical students with 2-9 h of training were able to acquire adequate images for B-lines and pleural effusions in 50-100%. Only one eligible study investigated paramedic-performed lung ultrasound which did not support the ability of paramedics to adequately acquire and interpret lung ultrasound images after 2 h of training.

CONCLUSIONS: Our findings suggest that nurses and students can accurately acquire and interpret lung ultrasound images after a brief training period in a majority of cases. The examination of heart failure patients with lung ultrasound by non-clinicians appears feasible and warrants further investigation.

OriginalsprogEngelsk
TidsskriftEuropean journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology
Vol/bind18
Udgave nummer6
Sider (fra-til)474-483
Antal sider10
ISSN1474-5151
DOI
StatusUdgivet - aug. 2019

ID: 58049209