Bedside ultrasound as a predictive tool for acute chest syndrome in sickle cell patients.
Am J Emerg Med
; 36(10): 1855-1861, 2018 10.
Article
em En
| MEDLINE
| ID: mdl-30017686
ABSTRACT
BACKGROUND:
Acute chest syndrome (ACS) is the leading cause of death for patients with sickle cell disease (SCD). Early recognition of ACS improves prognosis.OBJECTIVE:
Investigate the use of bedside lung ultrasound (BLU) in identification of early pulmonary findings associated with ACS in SCD patients.METHODS:
Prospective, observational study of a convenience sample of SCD patients presenting to the Emergency Department (ED) for a pain crisis. BLU interpretations were made by an emergency physician blinded to the diagnosis of ACS, and were validated by a second reviewer. The electronic medical record was reviewed at discharge and at 30â¯days.RESULTS:
Twenty SCD patients were enrolled. Median age was 31â¯years, median hemoglobin was 7.7â¯g/dL. Six patients developed ACS. Five patients in the ACS group had lung consolidations on BLU (83%) compared to 3 patients in the non-ACS group (21%), pâ¯=â¯0.0181, (ORâ¯=â¯12.05, 95% CI 1.24 to 116.73). The ACS group was also more likely to have a pleural effusion and B-lines on BLU than the non-ACS group, pâ¯=â¯0.0175; 0.1657, respectively. In the ACS group, peripheral and frank consolidations on BLU was 83% and 50% sensitive, 79% and 100% specific for ACS, respectively; whereas an infiltrate on initial chest X-ray (CXR) was only 17% sensitive. BLU identified lung abnormalities sooner than CXR (median 3.6 vs. 31.8â¯h).CONCLUSIONS:
Pulmonary abnormalities on BLU of an adult SCD patient presenting to the ED for a painful crisis appear before CXR, and highly suggest ACS. BLU is a promising predictive tool for ACS.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Dor no Peito
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Ultrassonografia
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Sistemas Automatizados de Assistência Junto ao Leito
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Síndrome Torácica Aguda
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Anemia Falciforme
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Pulmão
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article