The prediction of obstructive sleep apnea severity based on anthropometric and Mallampati indices
The prediction of obstructive sleep apnea severity based on anthropometric and Mallampati indices
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Publisher
India: Wolters Kluwer India Pvt. Ltd
Journal title
Language
English
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Publisher
India: Wolters Kluwer India Pvt. Ltd
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Scope and Contents
Contents
Background: Obstructive sleep apnea (OSA) is a common health issue with serious complications. Regarding the high cost of the polysomnography (PSG), sensitive and inexpensive screening tools are necessary. The objective of this study was to evaluate the predictive value of anthropometric and Mallampati indices for OSA severity in both genders. Mate...
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Full title
The prediction of obstructive sleep apnea severity based on anthropometric and Mallampati indices
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TN_cdi_doaj_primary_oai_doaj_org_article_56a5a3855d6348569dcf062548d1ed93
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_56a5a3855d6348569dcf062548d1ed93
Other Identifiers
ISSN
1735-1995
E-ISSN
1735-1995,1735-7136
DOI
10.4103/jrms.JRMS_653_18
