Modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkers

Background: Obstructive sleep apnea (OSA) is considered systemic inflammatory disease but airway and systemic inflammatory markers roles in OSA prediction are not widely used in sleep clinics. Aims: To study some simple inflammatory markers in the serum or exhaled breath that may predict OSA diagnos...

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Main Authors: Lucy Abd El Mabood Suliman, Nesreen Elsayed Morsy, Ahmed Hassan El-Sebaie, Nisreen M. Abo-Emaaty Omar, Amal Fathy
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-10-01
Series:Egyptian Journal of Chest Disease and Tuberculosis
Subjects:
OSA
Online Access:http://www.sciencedirect.com/science/article/pii/S0422763817302157
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spelling doaj-0e74e5d59ab541f2a45bb4c70d2068472020-11-24T22:00:33ZengWolters Kluwer Medknow PublicationsEgyptian Journal of Chest Disease and Tuberculosis0422-76382017-10-0166465766110.1016/j.ejcdt.2017.10.002Modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkersLucy Abd El Mabood Suliman0Nesreen Elsayed Morsy1Ahmed Hassan El-Sebaie2Nisreen M. Abo-Emaaty Omar3Amal Fathy4Chest Medicine Department, Faculty of Medicine, Mansoura University, EgyptChest Medicine Department, Faculty of Medicine, Mansoura University, EgyptClinical Pathology Department, Faculty of Medicine, Mansoura University, EgyptPhysiology Department, Faculty of Medicine, Mansoura University, EgyptChest Medicine Department, Faculty of Medicine, Mansoura University, EgyptBackground: Obstructive sleep apnea (OSA) is considered systemic inflammatory disease but airway and systemic inflammatory markers roles in OSA prediction are not widely used in sleep clinics. Aims: To study some simple inflammatory markers in the serum or exhaled breath that may predict OSA diagnosis or severity. Methods: The study included 60 participants, 43 OSAS and 17 healthy control. Cases were recruited from Respiratory Sleep Disorders Clinic full night PSG was done, the next morning, fractional exhaled nitric oxide (FENO) was measured, blood sample were collected for measuring Erythrocyte sedimentation rate (ESR) and high sensitivity C- reactive protein (HS-CRP). Results: Statistically Significant increase in Basal and minimal oxygen saturation, arousal index, FENO, ESR (1st, 2nd hour), HS-CRP with in OSA patients versus controls. While significant increase of HS-CRP, basal, minimal oxygen saturation and arousal index were found in severe OSA no significant differences were founded in (FENO, or ESR (1st, 2nd hour)).The predicted cut off point of FENO, HS-CRP, ESR(1st, 2ndhrs) that can be used in OSA diagnosis were (8,5.5,6.5,13.5) with sensitivity (0.88,0.95,0.83,0.93) and specificity (0.77,0.88,0.63,0.63). While in severe OSA were (24.5, 19.4, 9, 18.5) with sensitivity (0.82, 0.91, 0.82, 0.82) and specificity (0.72, 0.72, 0.72, 0.68) respectively. Conclusion: OSA patients have increased level of HS-CRP, ESR, and Exhaled FENO which confirm association of inflammation in OSA. These simple inflammatory markers may be used also as simple non invasive predictors to diagnose OSA. Moreover, the HS-CRP may be used as a useful parameter to predict OSA severity.http://www.sciencedirect.com/science/article/pii/S0422763817302157OSAFENOExhaled NOInflammatory markers
collection DOAJ
language English
format Article
sources DOAJ
author Lucy Abd El Mabood Suliman
Nesreen Elsayed Morsy
Ahmed Hassan El-Sebaie
Nisreen M. Abo-Emaaty Omar
Amal Fathy
spellingShingle Lucy Abd El Mabood Suliman
Nesreen Elsayed Morsy
Ahmed Hassan El-Sebaie
Nisreen M. Abo-Emaaty Omar
Amal Fathy
Modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkers
Egyptian Journal of Chest Disease and Tuberculosis
OSA
FENO
Exhaled NO
Inflammatory markers
author_facet Lucy Abd El Mabood Suliman
Nesreen Elsayed Morsy
Ahmed Hassan El-Sebaie
Nisreen M. Abo-Emaaty Omar
Amal Fathy
author_sort Lucy Abd El Mabood Suliman
title Modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkers
title_short Modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkers
title_full Modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkers
title_fullStr Modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkers
title_full_unstemmed Modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkers
title_sort modelling obstructive sleep apnea susceptibility using non-invasive inflammatory biomarkers
publisher Wolters Kluwer Medknow Publications
series Egyptian Journal of Chest Disease and Tuberculosis
issn 0422-7638
publishDate 2017-10-01
description Background: Obstructive sleep apnea (OSA) is considered systemic inflammatory disease but airway and systemic inflammatory markers roles in OSA prediction are not widely used in sleep clinics. Aims: To study some simple inflammatory markers in the serum or exhaled breath that may predict OSA diagnosis or severity. Methods: The study included 60 participants, 43 OSAS and 17 healthy control. Cases were recruited from Respiratory Sleep Disorders Clinic full night PSG was done, the next morning, fractional exhaled nitric oxide (FENO) was measured, blood sample were collected for measuring Erythrocyte sedimentation rate (ESR) and high sensitivity C- reactive protein (HS-CRP). Results: Statistically Significant increase in Basal and minimal oxygen saturation, arousal index, FENO, ESR (1st, 2nd hour), HS-CRP with in OSA patients versus controls. While significant increase of HS-CRP, basal, minimal oxygen saturation and arousal index were found in severe OSA no significant differences were founded in (FENO, or ESR (1st, 2nd hour)).The predicted cut off point of FENO, HS-CRP, ESR(1st, 2ndhrs) that can be used in OSA diagnosis were (8,5.5,6.5,13.5) with sensitivity (0.88,0.95,0.83,0.93) and specificity (0.77,0.88,0.63,0.63). While in severe OSA were (24.5, 19.4, 9, 18.5) with sensitivity (0.82, 0.91, 0.82, 0.82) and specificity (0.72, 0.72, 0.72, 0.68) respectively. Conclusion: OSA patients have increased level of HS-CRP, ESR, and Exhaled FENO which confirm association of inflammation in OSA. These simple inflammatory markers may be used also as simple non invasive predictors to diagnose OSA. Moreover, the HS-CRP may be used as a useful parameter to predict OSA severity.
topic OSA
FENO
Exhaled NO
Inflammatory markers
url http://www.sciencedirect.com/science/article/pii/S0422763817302157
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