Data · dataset · 2020
Lung ultrasound to detect pneumothorax in children evaluated for acute chest pain in the emergency department: a prospective study
Listed in Digital Commons Data UniCatt and Teesside University Research Data Repository — shown once because both records carry DOI 10.17632/8wccmn3sgm.2
We addressed the accuracy of Lung Ultrasound (LUS) to detect pneumothorax in children with acute chest pain evaluated in the pediatric Emergency Department (pED).
Description
Methods
We prospectively analyzed patients from 5 to 17 years of age with acute chest pain and clinical suspicion of pneumothorax (PNX) evaluated at a tertiary level pediatric hospital. After clinical examination and before Chest X-Ray (CXR), children underwent LUS to evaluate the presence of PNX. Results We enrolled 77 children, 44 (57,1 %) male, with median age of 10 years and 3 months (IQR 6 years and 9 months - 14 years and 2 months).
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Thirty (39%) children had interstitial lung disease; 20/77 (26%) had pneumonia with or without pleural effusions; 7/77 (9,1%) had thoracic trauma; 7/77 (9,1%) had a final diagnosis of myo/pericarditis and 13 (16,9%) received a final diagnosis of PNX. In all 13 patients LUS showed the “bar-code sign” while in 12 (92,3%) there was the lung point, giving a diagnosis of PNX. All cases were confirmed by CXR.
The lung point had a sensitivity of 92,3% and a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 98,4 % for the detection of PNX. The “bar-code sign” had a sensitivity of 100% and a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 100% for the detection of PNX. Conclusions LUS is highly accurate in detecting or excluding pneumothorax in children with acute chest pain evaluated in the pediatric emergency department.
Importantly, both lung-point and M-mode need to be performed when PNX is suspected.
Links
Where it is published
- DOI doi.org/10.17632/8wccmn3sgm.2 ↗
DOI / persistent id · from unicatt digitalcommonsdata com
Catalogue records · 2
- OAI-PMH record unicatt.digitalcommonsdata.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Aunic… ↗
metadata API · from unicatt digitalcommonsdata com
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science
- Inferred from text
- Disease 75%
Provenance · 2 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Digital Commons Data UniCatt | oai:unicatt.digitalcommonsdata.com/8wccmn3sgm.2 | 2 d ago | JSON v1 |
| Teesside University Research Data Repository | oai:data.mendeley.com/8wccmn3sgm.2 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · unicatt digitalcommonsdata com | connector:unicatt_digitalcommonsdata_com@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · unicatt digitalcommonsdata com | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · unicatt digitalcommonsdata com | connector:unicatt_digitalcommonsdata_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · unicatt digitalcommonsdata com | connector:unicatt_digitalcommonsdata_com@1.0.0 | /metadata/dc/description |
| license | source · unicatt digitalcommonsdata com | connector:unicatt_digitalcommonsdata_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · unicatt digitalcommonsdata com | connector:unicatt_digitalcommonsdata_com@1.0.0 | |
| title | source · unicatt digitalcommonsdata com | connector:unicatt_digitalcommonsdata_com@1.0.0 | /metadata/dc/title |