Article ; Online: [Surfactant therapy of respiratory distress syndrome].
2021 Volume 183, Issue 44
Abstract: This review gives a summary of the development of a method to measure lung surfactant on gastric aspirate at birth in premature infants with the purpose to threat respiratory distress syndrome early with targeted surfactant. Machine learning was used to ... ...
Abstract | This review gives a summary of the development of a method to measure lung surfactant on gastric aspirate at birth in premature infants with the purpose to threat respiratory distress syndrome early with targeted surfactant. Machine learning was used to create the algorithm, and a point-of-care spectrometer was constructed for use in the delivery room. The sensitivity was 91% and specificity 79% in a clinical trial. The same method was used to measure surfactant in tracheal fluid in patients with COVID-19 since lung surfactant may be diminished in these patients. |
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MeSH term(s) | COVID-19 ; Humans ; Infant ; Infant, Newborn ; Pulmonary Surfactants/therapeutic use ; Respiratory Distress Syndrome, Newborn/drug therapy ; SARS-CoV-2 ; Surface-Active Agents/therapeutic use |
Chemical Substances | Pulmonary Surfactants ; Surface-Active Agents |
Language | Danish |
Publishing date | 2021-11-16 |
Publishing country | Denmark |
Document type | Journal Article ; Review |
ZDB-ID | 124102-3 |
ISSN | 1603-6824 ; 0041-5782 |
ISSN (online) | 1603-6824 |
ISSN | 0041-5782 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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