Show simple item record

dc.creatorRatnagiri, Madhavi V.
dc.creatorZhu, Yan
dc.creatorRahman, Tariq
dc.creatorTheroux, Mary
dc.creatorTomatsu, Shunji
dc.creatorShaffer, Thomas
dc.date.accessioned2021-10-26T21:17:38Z
dc.date.available2021-10-26T21:17:38Z
dc.date.issued2021-05-15
dc.identifier.citationRatnagiri, M.V.; Zhu, Y.; Rahman, T.; Theroux, M.; Tomatsu, S.; Shaffer, T.H. Automated Assessment of Thoracic-Abdominal Asynchrony in Patients with Morquio Syndrome. Diagnostics 2021, 11, 880. https://doi.org/10.3390/diagnostics11050880
dc.identifier.issn2075-4418
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/6997
dc.identifier.urihttp://hdl.handle.net/20.500.12613/7016
dc.description.abstractMorquio syndrome is a rare disease caused by a disorder in the storage of mucopolysaccharides that affects multiple organs, including musculoskeletal, respiratory, cardiovascular, and digestive systems. Respiratory failure is one of the leading causes of mortality in Morquio patients; thus, respiratory function testing is vital to the management of the disease. An automated respiratory assessment methodology using the pneuRIP device and a machine-learning algorithm was developed. pneuRIP is a noninvasive approach that uses differences between thoracic and abdominal movements (thoracic-abdominal asynchrony) during respiration to assess respiratory status. The technique was evaluated on 17 patients with Morquio (9 females and 8 males) between the ages of 2 and 57 years. The results of the automated technique agreed with the clinical assessment in 16 out of the 17 patients. It was found that the inverse cumulative percentage representation of the time delay between the thorax and abdomen was the most critical variable for accurate evaluation. It was demonstrated that the technique could be successfully used on patients with Morquio who have difficulty breathing with 100% compliance. This technique is highly accurate, portable, noninvasive, and easy to administer, making it suitable for a variety of settings, such as outpatient clinics, at home, and emergency rooms.
dc.format.extent13 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofCOVID-19 Research
dc.relation.haspartDiagnostics, Vol. 11, No. 5
dc.relation.isreferencedbyMDPI
dc.rightsAttribution CC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAutomated pulmonary assessment
dc.subjectMorquio syndrome
dc.subjectNoninvasive pulmonary diagnostics
dc.subjectThoracic-abdominal asynchrony
dc.titleAutomated Assessment of Thoracic-Abdominal Asynchrony in Patients with Morquio Syndrome
dc.typeText
dc.type.genreJournal article
dc.description.departmentPhysiology and Pediatrics
dc.relation.doihttps://doi.org/10.3390/diagnostics11050880
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeLewis Katz School of Medicine
dc.creator.orcidShaffer|0000-0003-1757-8506
dc.temple.creatorShaffer, Thomas H.
refterms.dateFOA2021-10-26T21:17:38Z


Files in this item

Thumbnail
Name:
Shaffer-JournalArticle-2021-05.pdf
Size:
1.735Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

Attribution CC BY
Except where otherwise noted, this item's license is described as Attribution CC BY