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« Previous AbstractIdentification of volatile compounds from fruits aroma and citrus essential oils and their effect on oviposition of Ceratitis capitata (Diptera: Tephritidae)    Next AbstractForest Volatile Organic Compounds and Their Effects on Human Health: A State-of-the-Art Review »

Sleep Breath


Title:Comorbidity modulates non invasive ventilation-induced changes in breath print of obstructive sleep apnea syndrome patients
Author(s):Antonelli Inc; Pennazza G; Scarlata S; Santonico M; Vernile C; Cortese L; Frezzotti E; Pedone C; D'Amico A;
Address:"Chair of Geriatrics, Unit of Respiratory Pathophysiology, Campus Bio-Medico University, Via Alvaro del Portillo 200, 00128, Rome, Italy"
Journal Title:Sleep Breath
Year:2015
Volume:20141017
Issue:2
Page Number:623 - 630
DOI: 10.1007/s11325-014-1065-y
ISSN/ISBN:1522-1709 (Electronic) 1520-9512 (Linking)
Abstract:"INTRODUCTION: In obstructive sleep apnea syndrome (OSAS), exhaled volatile organic compounds (VOCs) change after long-term continuous positive airway pressure (CPAP). The objective of the study was to verify whether changes in VOCs pattern are detectable after the first night of CPAP and to identify correlates, if any, of these changes. METHODS: Fifty OSAS patients underwent a multidimensional assessment and breath print (BP) analysis through 28 sensors e-nose at baseline and after the first night of CPAP. Boxplots of individual BP evolution after CPAP and groups were compared by ANOVA and Fisher's exact t. Partial least square discriminant analysis (PLS-DA), with leave-one-out as cross-validation was used to calculate to which extent basal BP could predicts changes in apnea-hypopnea index (AHI). RESULTS: CPAP was effective in all the patients (delta AHI 35.8 events/h; residual AHI 6.0 events/h). BP dramatically changed after a single-night CPAP and changes conformed to two well-distinguished patterns: pattern C (n = 29), characterized by consonant boxplots, and pattern D (n = 21), with variably discordant boxplots. The average number of comorbid diseases (1.55 [standard deviation, SD 1.0] in group C, 3.14 [SD 1.8] in group D, p < 0.001) and the prevalence of selected comorbidity (diabetes mellitus, metabolic syndrome, and chronic heart failure), were the only features distinguishing groups. CONCLUSION: We found that BP change after a single night of CPAP largely depends upon comorbidity. Comorbidity likely contributes to phenotypic variability in OSAS population. BP might qualify as a surrogate index of the response to and, later, compliance with CPAP"
Keywords:Aged Biomarkers Comorbidity *Continuous Positive Airway Pressure Diabetes Complications/diagnosis/epidemiology/therapy Electronic Nose Female Heart Failure/diagnosis/epidemiology/therapy Humans Male Metabolic Syndrome/diagnosis/epidemiology/therapy Middle;
Notes:"MedlineAntonelli Incalzi, Raffaele Pennazza, Giorgio Scarlata, Simone Santonico, Marco Vernile, Chiara Cortese, Livio Frezzotti, Elena Pedone, Claudio D'Amico, Arnaldo eng Germany 2014/10/18 Sleep Breath. 2015 May; 19(2):623-30. doi: 10.1007/s11325-014-1065-y. Epub 2014 Oct 17"

 
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