Tıp Fakültesi / Faculty of Medicine

Permanent URI for this collectionhttps://hdl.handle.net/11727/1403

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search.filters.applied.f.publicationcategory: search.filters.publicationcategory.Makale - Uluslararası Hakemli DergiSubject: search.filters.subject.Sleep apnea

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    Lack of Association of Matrix Metalloproteinase-9 Promoter Gene Polymorphism in Obstructive Sleep Apnea Syndrome
    (2015) Yalcinkaya, Mustafa; Erbek, Selim S.; Babakurban, Seda Turkoglu; Kupeli, Elif; Bozbas, Serife; Terzi, Yunus K.; Sahin, Feride Iffet; 0000-0001-5612-9696; 0000-0001-5067-4044; 0000-0003-4825-3499; 0000-0002-5826-1997; 0000-0001-7308-9673; 0000-0002-7230-202X; 26169999; B-4372-2018; AAI-8856-2021; B-7604-2019; AAB-5345-2021; AAC-7232-2020; AAI-8064-2021
    Purpose: Obstructive sleep apnea syndrome (OSAS) is a public health problem. There is an effort to establish the genetic contributions to the development of OSAS. One is matrix metalloproteinases, extracellular matrix degrading enzymes related to systemic inflammation. However, the impact of matrix metalloproteinase-9 (MMP-9) genotypes on the development of OSAS is unknown. Our aim was to determine whether MMP-9 single nucleotide polymorphism (SNP) (MMP-9 -1562C > T) is related to susceptibility to OSAS. Material and methods: A total of 106 patients with a history of sleep apnea and 88 controls without a history of sleep apnea were enrolled in this study. Genotypes were determined by restriction fragment length polymorphism analyses after polymerase chain reaction. Results: Genotypes and allele frequencies of the MMP-9 -1562C > T SNP was not statistically different between the patient and control groups (p > 0.05). There was a statistical association between apnea -hypopnea index (AHI) and body mass index (BMI), and also between AHI and neck circumference (p < 0.001). There was no association among the genotypes and AHI, neck circumference, or BMI (p > 0.05). Conclusions: We found no association between MMP-9 -1562C > T SNP and OSAS. Studies to investigate the role of other polymorphisms and expression of MMP-9 gene will provide more information. (C) 2015 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.
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    Relationships among Retropalatal Airway, Pharyngeal Length, and Craniofacial Structures Determined By Magnetic Resonance Imaging in Patients with Obstructive Sleep Apnea
    (2019) Avci, Suat; Lakadamyali, Hatice; Lakadamyali, Huseyin; Aydin, Erdinc; Tekindal, Mustafa Agah; https://orcid.org/0000-0003-2155-8014; https://orcid.org/0000-0001-6864-7378; https://orcid.org/0000-0002-4060-7048; 29728955; O-3636-2018; AAJ-2379-2021; U-9270-2018
    BackgroundThe integration of anatomical and nonanatomical parameters will improve our ability to predict the outcomes of OSA treatment. Currently, no standardized, quantitative classification of upper airway anatomical traits is available. The retropalatal (RP) airway is the most important area to consider when planning anatomical treatment. However, current evaluation methods feature qualitative conventional endoscopy. Here, we describe a quantitative magnetic resonance imaging (MRI) method used to classify RP airway patterns.MethodsWe recruited 117 males; 20 simple snorers and 97 patients with OSA. Lateral/anteroposterior ratios were calculated in three parallel planes and RP patterns were classified accordingly. Lateral wall soft tissue structures, skeletal dimensions representing those planes, pharyngeal lengths, and skeletal and vertical axis ratios were also measured.ResultsBoth the cross-sectional area at the hard palate level and the RP lateral dimension were associated with OSA. OSA patients had longer pharynges than controls. The oblique pattern was associated with narrow lateral dimensions. The vertical pattern was associated with a narrow nasopharynx but a longer pharynx. The airway ratio at the hard palate level and the skeletal ratios of all three planes were negatively correlated with the vertical axis ratio and together explained 40.8% of the variance in the vertical axis ratio.ConclusionsThe data suggest that anatomical imbalances between the craniofacial skeletal and soft tissue structures affect pharyngeal airway morphology in all three dimensions. The dimensions of the nasopharynx, the cross-sectional area at the hard palate level, and pharyngeal length were associated not only with the RP patterns but also with OSA severity. This study affords insights into upper airway anatomy and RP patterns and may help diagnose OSA patients and aid in the selection of an appropriate therapy.
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    Association between Hypoxia Parameters with White Matter Hyperintensity and Silent Cerebral Infarcts on Brain Magnetic Resonance Images in Patients with Obstructive Sleep Apnea
    (2016) Avci, Aynur Yilmaz; Avci, Suat; Lakadamyali, Huseyin; Lakadamyali, Hatice; Can, Ufuk; 0000-0003-2155-8014; 0000-0001-9004-9382; 0000-0001-8689-417X; O-3636-2018; F-6770-2019; AAJ-2999-2021
    Objective: This study evaluated the association between hypoxia parameters with white matter hyperintensity (WMH) and silent cerebral infarcts (SCI) on brain magnetic resonance (MR) images of patients with obstructive sleep apnea (OSA). Methods: In this retrospective study, the study group was composed of 453 patients who were evaluated by overnight polysomnography (PSG). Data on hypoxia parameters, such as total sleep duration with oxygen saturation < 90% (ST90), percentage of cumulative time with oxygen saturation < 90% (CT90), and the lowest oxygen saturation (min SaO(2)), were obtained from PSG. The presence of WMH and SCI was evaluated in all participants using brain MR images. Results: Hypoxia parameters, such as ST90, CT90, and min SaO(2), were significantly associated with WMH (P < 0.001). The multiple regression analysis showed that CT90 was independently associated with SCI (P = 0.038). In addition, when participants were divided into two groups according to CT90 < 10% and CT90 = 10%, age (P = 0.002), sex (P = 0.015), body mass index, Apnea-Hypopnea Index score, Epworth Sleepiness Scale score, and the presence of WMH, hypertension, and diabetes mellitus were significantly higher in the CT90 = 10% group compared with the CT90 < 10% group (P < 0.001 for all parameters). CT90 = 10% increased the risk of WMH 2.34-fold (95% confidence interval, 1.44-3.85; P = 0.006). Conclusion: The severity of nocturnal intermittent hypoxia may contribute to the pathogenesis of WMH and SCI in patients with OSA.