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Ciavarella D, Ferrara D, Spinoso G, Cattaneo P, Leo C, Russo LL, Burlon G, Burlon C, Esperouz F, Laurenziello M, Tepedino M, Lorusso M. Airway Analysis and Morphometric Assessment of Dental Arches in Obstructive Sleep Apnea Patients. J Clin Med 2025; 14:296. [PMID: 39860302 PMCID: PMC11766405 DOI: 10.3390/jcm14020296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Revised: 12/16/2024] [Accepted: 12/26/2024] [Indexed: 01/27/2025] Open
Abstract
Background: Obstructive sleep apnea is a sleep-related breathing disorder associated with craniofacial morphology and dental arches. The aim of this study was to evaluate the correlation between obstructive sleep apnea and the morphometry of dental arches and upper airways. Methods: Forty patients were enrolled in the study, and the polysomnographic parameters evaluated were the apnea hypopnea index (AHI) and the oxygen desaturation index (ODI). Dental measurements taken from the 3D models included anterior arch widths, posterior arch widths, maxillary and mandibular arch lengths, and palatal surface area. A cone beam computed tomography (CBCT) evaluation was also performed. Results: In patients with moderate OSA, posterior maxillary width was significantly correlated with both minimal airway area (rho = 0.65, p < 0.01) and its transverse diameter (rho = 0.68, p < 0.01). Similarly, in patients with severe OSA, posterior maxillary width showed a significant correlation with total airway volume (rho = 1, p < 0.01), minimal airway area (rho = 1, p < 0.01), and its transverse diameter (rho = 1, p < 0.01). Conclusions: Craniofacial morphology and malocclusion can contribute to obstructive sleep apnea syndrome.
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Affiliation(s)
- Domenico Ciavarella
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
| | - Donatella Ferrara
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
| | - Giusi Spinoso
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
| | - Paolo Cattaneo
- Melbourne Dental School, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia;
| | - Chiara Leo
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
| | - Lucio Lo Russo
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
| | - Giuseppe Burlon
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
| | - Carlotta Burlon
- Department of Surgical Sciences, Postgraduate School of Orthodontics, University of Cagliari, 09124 Cagliari, Italy;
| | - Fariba Esperouz
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
| | - Michele Laurenziello
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
| | - Michele Tepedino
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Mauro Lorusso
- Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (D.C.); (G.S.); (C.L.); (L.L.R.); (G.B.); (F.E.); (M.L.); (M.L.)
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Bernkopf E, Capriotti V, Bernkopf G, Fermi M, Cristalli G. LETTER TO THE EDITOR REGARDING "CORRELATION BETWEEN LATERALITY OF HEARING LOSS AND MIGRAINE FEATURES IN MENIÈRE'S DISEASE". Otol Neurotol 2024; 45:1089-1090. [PMID: 39186047 DOI: 10.1097/mao.0000000000004291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
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Koca CGE, Bilgir E, Çolakoğlu G, Bakkal FK, Yildirim B, Güngör MA, Erdil A. Comparative study of anatomical features of primary and accessory maxillary ostia between patients with obstructive sleep apnea and healthy controls. Sleep Breath 2024; 28:541-554. [PMID: 37452886 DOI: 10.1007/s11325-023-02874-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 05/26/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE The purpose of this study was to examine how the size and shape of the maxillary sinus and its ostia (the primary maxillary ostium and accessory maxillary ostium) relate to each other in patients with OSA using computed tomography (CT) scans. Additionally, the study aimed to explore whether or not obstructive sleep apnea (OSA) had an effect on these structures. METHODS CT images of patients diagnosed with OSAS and healthy participants were evaluated to compare the patency, location, dimension, and presence of PMOs and AMOs using the Mann-Whitney U, Student t, and chi-square tests. Also, intragroup correlations were analyzed by Spearman's correlation test. RESULTS Among 139 patients with OSA and healthy controls, there were significant variations in the average length (p = 0.001) and width (p = 0.008) of PMOs among the study groups. The mean maxillary sinus volume was significantly decreased in the OSA group (p = 0.001). A significant decrease in the maxillary sinus volume was observed in the OSA group (p = 0.001). In the OSA group, a significant correlation was observed between PMO obstruction and the presence of AMO (p = 0.004). The healthy group had significant correlations (r = 0.755, p = 0.000) between the vertical height and the distance between PMO and the maxillary sinus floor. Correlation analyses revealed positive, strong correlations between study variables such as the mean length and width of AMO and the vertical height of the maxillary sinus (r = 0.566, p = 0.000) in the OSA group. CONCLUSIONS The current study indicated significant differences in sinus volume, PMO occlusion, and AMO-related dimensions between patients with OSA and healthy controls.
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Affiliation(s)
- Cansu Gül Efeoğlu Koca
- Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Uşak University, Cumhuriyet Mh. Kolej Sk. No:3 64200, Merkez, Uşak, Turkey
| | - Elif Bilgir
- Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskişehir Osmangazi University, Eskişehir, Turkey
| | - Gizem Çolakoğlu
- Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, İstanbul Aydın University, Istanbul, Turkey
| | - Faruk Kadri Bakkal
- Department of Otorhinolaryngology, Uşak Education and Research Hospital, Uşak, Turkey
| | - Bengisu Yildirim
- Department of Prosthodontics, Faculty of Dentistry, Uşak University, Uşak, Turkey
| | - Mehmet Ali Güngör
- Department of Prosthodontics, Faculty of Dentistry, Uşak University, Uşak, Turkey
| | - Aras Erdil
- Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Uşak University, Cumhuriyet Mh. Kolej Sk. No:3 64200, Merkez, Uşak, Turkey.
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Chang JL, Goldberg AN, Alt JA, Alzoubaidi M, Ashbrook L, Auckley D, Ayappa I, Bakhtiar H, Barrera JE, Bartley BL, Billings ME, Boon MS, Bosschieter P, Braverman I, Brodie K, Cabrera-Muffly C, Caesar R, Cahali MB, Cai Y, Cao M, Capasso R, Caples SM, Chahine LM, Chang CP, Chang KW, Chaudhary N, Cheong CSJ, Chowdhuri S, Cistulli PA, Claman D, Collen J, Coughlin KC, Creamer J, Davis EM, Dupuy-McCauley KL, Durr ML, Dutt M, Ali ME, Elkassabany NM, Epstein LJ, Fiala JA, Freedman N, Gill K, Boyd Gillespie M, Golisch L, Gooneratne N, Gottlieb DJ, Green KK, Gulati A, Gurubhagavatula I, Hayward N, Hoff PT, Hoffmann OM, Holfinger SJ, Hsia J, Huntley C, Huoh KC, Huyett P, Inala S, Ishman SL, Jella TK, Jobanputra AM, Johnson AP, Junna MR, Kado JT, Kaffenberger TM, Kapur VK, Kezirian EJ, Khan M, Kirsch DB, Kominsky A, Kryger M, Krystal AD, Kushida CA, Kuzniar TJ, Lam DJ, Lettieri CJ, Lim DC, Lin HC, Liu SY, MacKay SG, Magalang UJ, Malhotra A, Mansukhani MP, Maurer JT, May AM, Mitchell RB, Mokhlesi B, Mullins AE, Nada EM, Naik S, Nokes B, Olson MD, Pack AI, Pang EB, Pang KP, Patil SP, Van de Perck E, Piccirillo JF, Pien GW, et alChang JL, Goldberg AN, Alt JA, Alzoubaidi M, Ashbrook L, Auckley D, Ayappa I, Bakhtiar H, Barrera JE, Bartley BL, Billings ME, Boon MS, Bosschieter P, Braverman I, Brodie K, Cabrera-Muffly C, Caesar R, Cahali MB, Cai Y, Cao M, Capasso R, Caples SM, Chahine LM, Chang CP, Chang KW, Chaudhary N, Cheong CSJ, Chowdhuri S, Cistulli PA, Claman D, Collen J, Coughlin KC, Creamer J, Davis EM, Dupuy-McCauley KL, Durr ML, Dutt M, Ali ME, Elkassabany NM, Epstein LJ, Fiala JA, Freedman N, Gill K, Boyd Gillespie M, Golisch L, Gooneratne N, Gottlieb DJ, Green KK, Gulati A, Gurubhagavatula I, Hayward N, Hoff PT, Hoffmann OM, Holfinger SJ, Hsia J, Huntley C, Huoh KC, Huyett P, Inala S, Ishman SL, Jella TK, Jobanputra AM, Johnson AP, Junna MR, Kado JT, Kaffenberger TM, Kapur VK, Kezirian EJ, Khan M, Kirsch DB, Kominsky A, Kryger M, Krystal AD, Kushida CA, Kuzniar TJ, Lam DJ, Lettieri CJ, Lim DC, Lin HC, Liu SY, MacKay SG, Magalang UJ, Malhotra A, Mansukhani MP, Maurer JT, May AM, Mitchell RB, Mokhlesi B, Mullins AE, Nada EM, Naik S, Nokes B, Olson MD, Pack AI, Pang EB, Pang KP, Patil SP, Van de Perck E, Piccirillo JF, Pien GW, Piper AJ, Plawecki A, Quigg M, Ravesloot MJ, Redline S, Rotenberg BW, Ryden A, Sarmiento KF, Sbeih F, Schell AE, Schmickl CN, Schotland HM, Schwab RJ, Seo J, Shah N, Shelgikar AV, Shochat I, Soose RJ, Steele TO, Stephens E, Stepnowsky C, Strohl KP, Sutherland K, Suurna MV, Thaler E, Thapa S, Vanderveken OM, de Vries N, Weaver EM, Weir ID, Wolfe LF, Tucker Woodson B, Won CH, Xu J, Yalamanchi P, Yaremchuk K, Yeghiazarians Y, Yu JL, Zeidler M, Rosen IM. International Consensus Statement on Obstructive Sleep Apnea. Int Forum Allergy Rhinol 2023; 13:1061-1482. [PMID: 36068685 PMCID: PMC10359192 DOI: 10.1002/alr.23079] [Show More Authors] [Citation(s) in RCA: 127] [Impact Index Per Article: 63.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Evaluation and interpretation of the literature on obstructive sleep apnea (OSA) allows for consolidation and determination of the key factors important for clinical management of the adult OSA patient. Toward this goal, an international collaborative of multidisciplinary experts in sleep apnea evaluation and treatment have produced the International Consensus statement on Obstructive Sleep Apnea (ICS:OSA). METHODS Using previously defined methodology, focal topics in OSA were assigned as literature review (LR), evidence-based review (EBR), or evidence-based review with recommendations (EBR-R) formats. Each topic incorporated the available and relevant evidence which was summarized and graded on study quality. Each topic and section underwent iterative review and the ICS:OSA was created and reviewed by all authors for consensus. RESULTS The ICS:OSA addresses OSA syndrome definitions, pathophysiology, epidemiology, risk factors for disease, screening methods, diagnostic testing types, multiple treatment modalities, and effects of OSA treatment on multiple OSA-associated comorbidities. Specific focus on outcomes with positive airway pressure (PAP) and surgical treatments were evaluated. CONCLUSION This review of the literature consolidates the available knowledge and identifies the limitations of the current evidence on OSA. This effort aims to create a resource for OSA evidence-based practice and identify future research needs. Knowledge gaps and research opportunities include improving the metrics of OSA disease, determining the optimal OSA screening paradigms, developing strategies for PAP adherence and longitudinal care, enhancing selection of PAP alternatives and surgery, understanding health risk outcomes, and translating evidence into individualized approaches to therapy.
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Affiliation(s)
- Jolie L. Chang
- University of California, San Francisco, California, USA
| | | | | | | | - Liza Ashbrook
- University of California, San Francisco, California, USA
| | | | - Indu Ayappa
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | | | - Maurits S. Boon
- Sidney Kimmel Medical Center at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Pien Bosschieter
- Academic Centre for Dentistry Amsterdam, Amsterdam, The Netherlands
| | - Itzhak Braverman
- Hillel Yaffe Medical Center, Hadera Technion, Faculty of Medicine, Hadera, Israel
| | - Kara Brodie
- University of California, San Francisco, California, USA
| | | | - Ray Caesar
- Stone Oak Orthodontics, San Antonio, Texas, USA
| | | | - Yi Cai
- University of California, San Francisco, California, USA
| | | | | | | | | | | | | | | | | | - Susmita Chowdhuri
- Wayne State University and John D. Dingell VA Medical Center, Detroit, Michigan, USA
| | - Peter A. Cistulli
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - David Claman
- University of California, San Francisco, California, USA
| | - Jacob Collen
- Uniformed Services University, Bethesda, Maryland, USA
| | | | | | - Eric M. Davis
- University of Virginia, Charlottesville, Virginia, USA
| | | | | | - Mohan Dutt
- University of Michigan, Ann Arbor, Michigan, USA
| | - Mazen El Ali
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | | | | | | | - Kirat Gill
- Stanford University, Palo Alto, California, USA
| | | | - Lea Golisch
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | | | | | | | - Arushi Gulati
- University of California, San Francisco, California, USA
| | | | | | - Paul T. Hoff
- University of Michigan, Ann Arbor, Michigan, USA
| | - Oliver M.G. Hoffmann
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | | | - Jennifer Hsia
- University of Minnesota, Minneapolis, Minnesota, USA
| | - Colin Huntley
- Sidney Kimmel Medical Center at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | | | | | - Sanjana Inala
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | | | | | | | | | | | | | - Meena Khan
- Ohio State University, Columbus, Ohio, USA
| | | | - Alan Kominsky
- Cleveland Clinic Head and Neck Institute, Cleveland, Ohio, USA
| | - Meir Kryger
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | | | | | - Derek J. Lam
- Oregon Health and Science University, Portland, Oregon, USA
| | | | | | | | | | | | | | - Atul Malhotra
- University of California, San Diego, California, USA
| | | | - Joachim T. Maurer
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Anna M. May
- Case Western Reserve University, Cleveland, Ohio, USA
| | - Ron B. Mitchell
- University of Texas, Southwestern and Children’s Medical Center Dallas, Texas, USA
| | | | | | | | | | - Brandon Nokes
- University of California, San Diego, California, USA
| | | | - Allan I. Pack
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | | | | | | | | | | | | | - Mark Quigg
- University of Virginia, Charlottesville, Virginia, USA
| | | | - Susan Redline
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Armand Ryden
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | | | - Firas Sbeih
- Cleveland Clinic Head and Neck Institute, Cleveland, Ohio, USA
| | | | | | | | | | - Jiyeon Seo
- University of California, Los Angeles, California, USA
| | - Neomi Shah
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Ryan J. Soose
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Erika Stephens
- University of California, San Francisco, California, USA
| | | | | | | | | | - Erica Thaler
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sritika Thapa
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | - Nico de Vries
- Academic Centre for Dentistry Amsterdam, Amsterdam, The Netherlands
| | | | - Ian D. Weir
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | | | | | - Josie Xu
- University of Toronto, Ontario, Canada
| | | | | | | | | | | | - Ilene M. Rosen
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Tsai CY, Liu WT, Hsu WH, Majumdar A, Stettler M, Lee KY, Cheng WH, Wu D, Lee HC, Kuan YC, Wu CJ, Lin YC, Ho SC. Screening the risk of obstructive sleep apnea by utilizing supervised learning techniques based on anthropometric features and snoring events. Digit Health 2023; 9:20552076231152751. [PMID: 36896329 PMCID: PMC9989412 DOI: 10.1177/20552076231152751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 01/04/2023] [Indexed: 03/08/2023] Open
Abstract
Objectives Obstructive sleep apnea (OSA) is typically diagnosed by polysomnography (PSG). However, PSG is time-consuming and has some clinical limitations. This study thus aimed to establish machine learning models to screen for the risk of having moderate-to-severe and severe OSA based on easily acquired features. Methods We collected PSG data on 3529 patients from Taiwan and further derived the number of snoring events. Their baseline characteristics and anthropometric measures were obtained, and correlations among the collected variables were investigated. Next, six common supervised machine learning techniques were utilized, including random forest (RF), extreme gradient boosting (XGBoost), k-nearest neighbor (kNN), support vector machine (SVM), logistic regression (LR), and naïve Bayes (NB). First, data were independently separated into a training and validation dataset (80%) and a test dataset (20%). The approach with the highest accuracy in the training and validation phase was employed to classify the test dataset. Next, feature importance was investigated by calculating the Shapley value of every factor, which represented the impact on OSA risk screening. Results The RF produced the highest accuracy (of >70%) in the training and validation phase in screening for both OSA severities. Hence, we employed the RF to classify the test dataset, and results showed a 79.32% accuracy for moderate-to-severe OSA and 74.37% accuracy for severe OSA. Snoring events and the visceral fat level were the most and second most essential features of screening for OSA risk. Conclusions The established model can be considered for screening for the risk of having moderate-to-severe or severe OSA.
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Affiliation(s)
- Cheng-Yu Tsai
- Department of Civil and Environmental Engineering, Imperial College London, London, UK
| | - Wen-Te Liu
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.,Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan
| | - Wen-Hua Hsu
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Arnab Majumdar
- Department of Civil and Environmental Engineering, Imperial College London, London, UK
| | - Marc Stettler
- Department of Civil and Environmental Engineering, Imperial College London, London, UK
| | - Kang-Yun Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Wun-Hao Cheng
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Dean Wu
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.,Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan.,Dementia Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Hsin-Chien Lee
- Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan
| | - Yi-Chun Kuan
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.,Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan.,Dementia Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Cheng-Jung Wu
- Department of Otolaryngology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Yi-Chih Lin
- Department of Otolaryngology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Shu-Chuan Ho
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.,Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
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Samaha CJ, Tannous HJ, Salman D, Ghafari JG, Amatoury J. Role of surgical hyoid bone repositioning in modifying upper airway collapsibility. Front Physiol 2022; 13:1089606. [PMID: 36582357 PMCID: PMC9792595 DOI: 10.3389/fphys.2022.1089606] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Surgical hyoid bone repositioning procedures are being performed to treat obstructive sleep apnea (OSA), though outcomes are highly variable. This is likely due to lack of knowledge regarding the precise influence of hyoid bone position on upper airway patency. The aim of this study is to determine the effect of surgical hyoid bone repositioning on upper airway collapsibility. Methods: Seven anaesthetized, male, New Zealand White rabbits were positioned supine with head/neck position controlled. The rabbit's upper airway was surgically isolated and hyoid bone exposed to allow manipulation of its position using a custom-made device. A sealed facemask was fitted over the rabbit's snout, and mask/upper airway pressures were monitored. Collapsibility was quantified using upper airway closing pressure (Pclose). The hyoid bone was repositioned within the mid-sagittal plane from 0 to 5 mm (1 mm increments) in anterior, cranial, caudal, anterior-cranial (45°) and anterior-caudal (45°) directions. Results: Anterior displacement of the hyoid bone resulted in the greatest decrease in Pclose amongst all directions (p = 0.002). Pclose decreased progressively with each increment of anterior hyoid bone displacement, and down by -4.0 ± 1.3 cmH2O at 5 mm. Cranial and caudal hyoid bone displacement did not alter Pclose (p > 0.35). Anterior-cranial and anterior-caudal hyoid bone displacements decreased Pclose significantly (p < 0.004) and at similar magnitudes to the anterior direction (p > 0.68). Conclusion: Changes in upper airway collapsibility following hyoid bone repositioning are both direction and magnitude dependent. Anterior-based repositioning directions have the greatest impact on reducing upper airway collapsibility, with no effect on collapsibility by cranial and caudal directions. Findings may have implications for guiding and improving the outcomes of surgical hyoid interventions for the treatment of OSA.
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Affiliation(s)
- Corine J. Samaha
- Sleep and Upper Airway Research Group (SUARG), American University of Beirut, Beirut, Lebanon,Division of Orthodontics and Dentofacial Orthopedics, American University of Beirut Medical Center, Beirut, Lebanon
| | - Hiba J. Tannous
- Sleep and Upper Airway Research Group (SUARG), American University of Beirut, Beirut, Lebanon,Division of Orthodontics and Dentofacial Orthopedics, American University of Beirut Medical Center, Beirut, Lebanon
| | - Diane Salman
- Sleep and Upper Airway Research Group (SUARG), American University of Beirut, Beirut, Lebanon,Biomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture (MSFEA), American University of Beirut, Beirut, Lebanon
| | - Joseph G. Ghafari
- Division of Orthodontics and Dentofacial Orthopedics, American University of Beirut Medical Center, Beirut, Lebanon,Department of Orthodontics, University of Pennsylvania, Philadelphia, PA, United States
| | - Jason Amatoury
- Sleep and Upper Airway Research Group (SUARG), American University of Beirut, Beirut, Lebanon,Biomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture (MSFEA), American University of Beirut, Beirut, Lebanon,*Correspondence: Jason Amatoury,
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Tsai CY, Huang HT, Cheng HC, Wang J, Duh PJ, Hsu WH, Stettler M, Kuan YC, Lin YT, Hsu CR, Lee KY, Kang JH, Wu D, Lee HC, Wu CJ, Majumdar A, Liu WT. Screening for Obstructive Sleep Apnea Risk by Using Machine Learning Approaches and Anthropometric Features. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22228630. [PMID: 36433227 PMCID: PMC9694257 DOI: 10.3390/s22228630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 10/26/2022] [Accepted: 11/05/2022] [Indexed: 05/14/2023]
Abstract
Obstructive sleep apnea (OSA) is a global health concern and is typically diagnosed using in-laboratory polysomnography (PSG). However, PSG is highly time-consuming and labor-intensive. We, therefore, developed machine learning models based on easily accessed anthropometric features to screen for the risk of moderate to severe and severe OSA. We enrolled 3503 patients from Taiwan and determined their PSG parameters and anthropometric features. Subsequently, we compared the mean values among patients with different OSA severity and considered correlations among all participants. We developed models based on the following machine learning approaches: logistic regression, k-nearest neighbors, naïve Bayes, random forest (RF), support vector machine, and XGBoost. Collected data were first independently split into two data sets (training and validation: 80%; testing: 20%). Thereafter, we adopted the model with the highest accuracy in the training and validation stage to predict the testing set. We explored the importance of each feature in the OSA risk screening by calculating the Shapley values of each input variable. The RF model achieved the highest accuracy for moderate to severe (84.74%) and severe (72.61%) OSA. The level of visceral fat was found to be a predominant feature in the risk screening models of OSA with the aforementioned levels of severity. Our machine learning models can be employed to screen for OSA risk in the populations in Taiwan and in those with similar craniofacial structures.
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Affiliation(s)
- Cheng-Yu Tsai
- Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK
| | - Huei-Tyng Huang
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK
| | - Hsueh-Chien Cheng
- Parasites and Microbes Programme, Wellcome Sanger Institute, Hinxton CB10 1RQ, UK
| | - Jieni Wang
- Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Ping-Jung Duh
- Cognitive Neuroscience, Division of Psychology and Language Science, University College London, London WC1H 0AP, UK
| | - Wen-Hua Hsu
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
| | - Marc Stettler
- Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK
| | - Yi-Chun Kuan
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei 110301, Taiwan
- Dementia Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
| | - Yin-Tzu Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33305, Taiwan
| | - Chia-Rung Hsu
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
| | - Kang-Yun Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
| | - Jiunn-Horng Kang
- Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei 110301, Taiwan
- Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei 110301, Taiwan
- Graduate Institute of Nanomedicine and Medical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei 110301, Taiwan
| | - Dean Wu
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei 110301, Taiwan
- Dementia Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
| | - Hsin-Chien Lee
- Department of Psychiatry, Taipei Medical University Hospital, Taipei 110301, Taiwan
| | - Cheng-Jung Wu
- Department of Otolaryngology, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
| | - Arnab Majumdar
- Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK
- Correspondence: (A.M.); (W.-T.L.)
| | - Wen-Te Liu
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 235041, Taiwan
- Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei 110301, Taiwan
- Correspondence: (A.M.); (W.-T.L.)
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Pollis M, Lobbezoo F, Aarab G, Ferrari M, Marchese-Ragona R, Manfredini D. Correlation between Apnea Severity and Sagittal Cephalometric Features in a Population of Patients with Polysomnographically Diagnosed Obstructive Sleep Apnea. J Clin Med 2022; 11:jcm11154572. [PMID: 35956187 PMCID: PMC9369523 DOI: 10.3390/jcm11154572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/02/2022] [Accepted: 08/03/2022] [Indexed: 02/07/2023] Open
Abstract
Background and Objective: Obstructive sleep apnea (OSA) is a sleep-related breathing disorder featuring a repeated closure of the upper airway during sleep. Craniofacial anatomy is a potential risk and worsening factor for OSA. This study aims to assess the relationship between cephalometric features of craniofacial morphology and OSA severity in a population of patients with OSA. Material and Methods: A sample of forty-two patients (n = 42, M = 76%, mean age = 57.8 ± 10.8) with a polysomnographically (PSG) confirmed diagnosis of OSA were recruited and underwent cephalometric evaluation of 16 cephalometric variables. In addition, the apnea−hypopnea index (AHI), oxygen desaturation (SatMin), Epworth sleepiness scale (ESS), and body mass index (BMI) were assessed. Then t-tests were performed to compare the values of all cephalometric variables between two AHI severity-based groups (mild-to-moderate = AHI ≤ 30; severe = AHI > 30). Single- and multiple-variable regression analyses were performed to assess the associations between AHI scores and cephalometric features. Results: Mean AHI, SatMin, and BMI were 31.4 ev/h, 78.7%, and 28.1, respectively. The cephalometric variables were not significantly different between the two OSA-severity groups (p > 0.05). Multiple-variable regression analyses showed that gonial angle and nasopharynx space were negatively associated with AHI, explaining 24.6% of the total variance. Conclusion: This investigation reported that severity of AHI scores in patients with OSA showed a negative correlation with gonial angle and nasopharynx space. As a general remark, although maxillofacial anatomy can be a predisposing factor for OSA, disease severity depends mainly upon other variables.
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Affiliation(s)
- Matteo Pollis
- Department of Medical Biotechnology, School of Dentistry, University of Siena, 53100 Siena, Italy
- Correspondence:
| | - Frank Lobbezoo
- Department of Orofacial Pain and Dysfunction, Academic Centre of Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, 1081 LA Amsterdam, The Netherlands
| | - Ghizlane Aarab
- Department of Orofacial Pain and Dysfunction, Academic Centre of Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, 1081 LA Amsterdam, The Netherlands
| | - Marco Ferrari
- Department of Medical Biotechnology, School of Dentistry, University of Siena, 53100 Siena, Italy
| | - Rosario Marchese-Ragona
- Department of Neurosciences, Otolaryngology Section, University of Padova, Via Belzoni, 160, 35121 Padova, Italy
| | - Daniele Manfredini
- Department of Medical Biotechnology, School of Dentistry, University of Siena, 53100 Siena, Italy
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9
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Choi JW, Jeong WS, Kang MK, Lee JY, Chung YS. Counterclockwise Rotational Orthognathic Surgery for the Obstructive Sleep Apnea in Class II Dentofacial Deformity: Polysomnography and 3D Computed Tomographic Analysis. Ann Plast Surg 2021; 86:640-646. [PMID: 33346553 DOI: 10.1097/sap.0000000000002580] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT Traditionally, maxillomandibular advancement is an orthognathic surgical procedure that has been used to manage obstructive sleep apnea in patients not able or willing to maintain adherence to continuous positive airway pressure therapy or for patient who are not able to adhere to treatment. However, maxillomandibular advancement often leads to unsatisfactory cosmetic results.This prospective study investigated functional and esthetic outcomes using polysomnography and 3-dimensional computed tomography, after counterclockwise rotational orthognathic surgery. We enrolled 17 patients with obstructive sleep apnea, who underwent orthognathic surgery at single institution between March 2013 and December 2018.After 12 months, the patients' mean self-rated score for facial appearance, using a 10-step visual analog scale, was 7.36. The preoperative apnea-hypopnea index and respiratory disturbance index were 34.70 and 37.45, respectively; postoperative indices were 11.60 and to 12.69, respectively (P = 0.003, 0.003). The mean posterior pharyngeal airway space increased from 5357.88 mm3 preoperatively to 8481.94 mm3 after 6 postoperative months.Counterclockwise rotational orthognathic surgery for the correction of obstructive sleep apnea turned out to be the ideal solution not only in the correction of the sleep apnea, but also in the facial esthetics.
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Affiliation(s)
- Jong Woo Choi
- From the Department of Plastic and Reconstructive Surgery, University of Ulsan College of Medicine, Seoul Asan Medical Center
| | - Woo Shik Jeong
- From the Department of Plastic and Reconstructive Surgery, University of Ulsan College of Medicine, Seoul Asan Medical Center
| | - Min Kyu Kang
- From the Department of Plastic and Reconstructive Surgery, University of Ulsan College of Medicine, Seoul Asan Medical Center
| | | | - Yoo Sam Chung
- Department of Otolaryngology, University of Ulsan College of Medicine, Seoul Asan Medical Center, Seoul, South Korea
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Abstract
This article focuses on the role of skeletal surgery within the modified Stanford protocol with particular attention focused on the evolved role of MMA. First, surgery in patients presenting with congenital dentofacial deformity or characteristic drug-induced sleep endoscopy findings, then the growing role of maxillary expansion in a newly identified patient phenotype, and finally genioglossus advancement, are discussed. Less commonly used and validated techniques, such as isolated mandibular advancement and maxillomandibular expansion are not discussed in this article.
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Affiliation(s)
- Michael Awad
- Division of Sleep Surgery, Department of Otolaryngology-Head & Neck Surgery, Northwestern University, 675 N, St Clair Street, 15th Floor, Suite 200, Chicago, IL 60611, USA
| | - Robson Capasso
- Division of Sleep Surgery, Department of Otolaryngology-Head & Neck Surgery, Stanford University, 801 Welch Road, Stanford, CA 94305, USA.
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11
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Cillo JE, Dattilo DJ. Orthognathic surgery for obstructive sleep apnea. Semin Orthod 2019. [DOI: 10.1053/j.sodo.2019.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Cillo JE, Dattilo DJ. Maxillomandibular Advancement for Obstructive Sleep Apnea Produces Long-Term Horizontal Advancement of the Maxilla and Mandible. J Oral Maxillofac Surg 2019; 77:2524-2528. [PMID: 31344340 DOI: 10.1016/j.joms.2019.06.176] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 06/03/2019] [Accepted: 06/17/2019] [Indexed: 10/26/2022]
Abstract
PURPOSE Because limited data have been reported, the purpose of the present study was to evaluate the long-term craniofacial cephalometric skeletal changes associated with maxillomandibular advancement (MMA) for obstructive sleep apnea (OSA). MATERIALS AND METHODS We performed a retrospective cephalometric cohort study of craniofacial skeletal changes in patients who had undergone MMA for OSA. The primary predictor and outcome variables were time and the change in SNB over time, respectively. Digitized cephalometric radiographs were analyzed by an independent third-party cloud-based tracing software for 6 skeletal landmarks at 3 points-preoperatively, within 1 month postoperatively, and at the last follow-up evaluation. Post hoc stratification bidimensional analyses by gender and preoperative age and body mass index (BMI) were performed. Clinically significant results were determined as a greater than 2% change from baseline. Univariate and bivariate statistics were computed, and the statistical significance level was set at P < .05. RESULTS Thirty consecutive subjects with an even gender distribution were included in the present study. The average preoperative age, apnea hypopnea index, and BMI were 43.7 years, 59.8, and 39.3 kg/m2. The average follow-up duration was 10.7 years (range, 5.6 to 18.8). Statistically and clinically significant long-term postoperative changes were found only for SNA (+4.9° or +6.0%; P < .001) and SNB (+3.8° or +4.9%; P < .001). Stratification by gender and median preoperative age and BMI did not find any statistically or clinically significant results. CONCLUSIONS Within the limitations of the present study, MMA for OSA produced statistically and clinically significant long-term cephalometric skeletal horizontal angular advancement of the maxilla and mandible of 6 and 4.9%, respectively, independently of gender, age, or BMI.
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Affiliation(s)
- Joseph E Cillo
- Associate Professor and Program Director, Division of Oral and Maxillofacial Surgery, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, PA.
| | - David J Dattilo
- Associate Professor and Division Director, Division of Oral and Maxillofacial Surgery, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, PA
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13
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Cillo JE, Dattilo DJ. Maxillomandibular Advancement for Severe Obstructive Sleep Apnea Is a Highly Skeletally Stable Long-Term Procedure. J Oral Maxillofac Surg 2019; 77:1231-1236. [DOI: 10.1016/j.joms.2019.01.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 01/06/2019] [Accepted: 01/06/2019] [Indexed: 01/30/2023]
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14
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Bove C, Jain V, Younes N, Hynes M. What You Eat Could Affect Your Sleep: Dietary Findings in Patients With Newly Diagnosed Obstructive Sleep Apnea. Am J Lifestyle Med 2018; 15:305-312. [PMID: 34025323 DOI: 10.1177/1559827618765097] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Rationale. We hypothesized that certain dietary components such as increased fat intake are associated with severity of obstructive sleep apnea (OSA). Methods. A total of 104 patients, diagnosed with OSA completed a validated dietary survey. The apnea-hypopnea index (AHI) was used to measure the severity of OSA. Subjects were divided using body mass index (BMI) into obese and overweight categories. Regression analysis was performed to predict severity of OSA from gender, BMI, age, % energy from fat, and the individual dietary components of the survey. Results. Overweight subjects who ate a diet high in fat (>35% of their total diet) had twice the severity of sleep apnea (AHI 18.2 ± 10.1 vs 36.6 ± 27.5; P = .001). There was a strong trend (P = .056) in OSA severity between subjects eating processed meats "often" (AHI 42.5 ± 30.7) versus those eating "rarely/never" (AHI 28.9 ± 22.7). Eating greater than 2 servings of dairy daily was associated with worsening severity of OSA (AHI 26.2 ± 15.6 vs 39.7 ± 31; P = .04]. Conclusions. Dietary components such as fat intake and processed meats were associated with increased risk of OSA severity. In addition, 2 servings of dairy foods were associated with a decreased severity of OSA at presentation.
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Affiliation(s)
- Caitlin Bove
- George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Vivek Jain
- George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Naji Younes
- George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Marijane Hynes
- George Washington University School of Medicine and Health Sciences, Washington, DC
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15
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Change in Posterior Pharyngeal Space After Counterclockwise Rotational Orthognathic Surgery for Class II Dentofacial Deformity Diagnosed With Obstructive Sleep Apnea Based on Cephalometric Analysis. J Craniofac Surg 2017; 28:e488-e491. [DOI: 10.1097/scs.0000000000003761] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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16
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Agha B, Johal A. Facial phenotype in obstructive sleep apnea-hypopnea syndrome: a systematic review and meta-analysis. J Sleep Res 2016; 26:122-131. [PMID: 28019049 DOI: 10.1111/jsr.12485] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 11/05/2016] [Indexed: 12/18/2022]
Abstract
This systematic review and meta-analysis explores the association between facial phenotype and obstructive sleep apnea-hypopnea syndrome in adults. A comprehensive electronic (Medline via Ovid, Scopus, and Embase) database and reference search were undertaken in relation to imaging modalities for surface craniofacial assessments in subjects with sleep apnea. The outcome measures were surface facial dimensions, morphology and profile. The quality of studies was assessed and a meta-analysis conducted. The studies were weighted using the inverse variance method, and the random effects model was used to analyse data. This systematic review identified eight case-control studies. In five studies (906 participants), adults with sleep apnea showed increased weighted mean differences in neck circumference by 1.26 mm (P = 0.0001) with extensive heterogeneity between studies (I² = 93%). Only two studies (467 participants) shared the following outcomes: mandible length, lower facial height, mandible width and anterior mandible height parameters. The pooled results demonstrated obstructive sleep apnea syndrome was associated with larger parameters than controls. In conclusion, the surface facial assessment was able to demonstrate some characteristic morphological features, facilitating a meta-analysis, in adults with obstructive sleep apnea-hypopnea syndrome. The strength of these findings, however, was limited by the heterogeneity of the studies precluding the identification of a clear phenotype.
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Affiliation(s)
- Bahn Agha
- Oral Growth and Development Department, Institute of Dentistry, Queen Mary University of London, London, UK
| | - Ama Johal
- Oral Growth and Development Department, Institute of Dentistry, Queen Mary University of London, London, UK
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Camacho M, Liu SY, Certal V, Capasso R, Powell NB, Riley RW. Large maxillomandibular advancements for obstructive sleep apnea: An operative technique evolved over 30 years. J Craniomaxillofac Surg 2015; 43:1113-8. [DOI: 10.1016/j.jcms.2015.05.015] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2015] [Revised: 05/12/2015] [Accepted: 05/21/2015] [Indexed: 11/17/2022] Open
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Islam S, Aleem F, Ormiston IW. Does the Kushida morphometric model predict outcomes following maxillomandibular advancement surgery for obstructive sleep apnoea? J Craniomaxillofac Surg 2014; 42:1675-8. [PMID: 24969763 DOI: 10.1016/j.jcms.2014.05.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Revised: 05/13/2014] [Accepted: 05/13/2014] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE The primary aim of this study was to explore the predictive potential of the preoperative Kushida index score and subsequent outcome following maxillomandibular advancement surgery (MMA). Secondarily we looked at how well the Kushida values of our OSA patients matched the morphometric models diagnostic thresholds. METHODS We performed a retrospective analysis of patients who underwent MMA for OSA at our institution. Kushida morphometric scores were calculated using the described formula: P + (Mx - Mn) + 3 × OJ + 3 × [Max (BMI - 25)] × (NC ÷ BMI). Regression analysis was performed to explore the possible association between Kushida index score and outcome variables of postoperative apnoea/hypopnea indices (AHI) and Epworth Sleepiness Scores (ESS). RESULTS We identified 28 patients with complete data available for analysis. The mean age was 45 years (SD 6) with mean BMI of 28 (SD 3). All, but one patient underwent bi-maxillary procedure with or without genioplasty, with a mean advancement of 8.5 mm (SD 2). The mean Kushida index score in our sample was 79 (SD 14). 89% of patients had postoperative AHI <15 in keeping with surgical success. We found no statistically significant relationship with Kushida morphometric model variables and overall score with either of our outcome variables. CONCLUSION The mean Kushida index score in our patients was in the range consistent with the morphometric models diagnostic cut-off for OSA. Kushida's morphometric model does not appear to be a good predictor of postoperative success in individuals following MMA. The morphometric model represents a clinical adjunct in the initial diagnostic work-up of OSA patients referred for surgery.
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Affiliation(s)
- Shofiq Islam
- Maxillofacial Surgery, Leicester Royal Infirmary, Infirmary Square, Leicester, East Midlands, LE1 5WW, UK.
| | - Fahd Aleem
- Maxillofacial Surgery, Leicester Royal Infirmary, Infirmary Square, Leicester, East Midlands, LE1 5WW, UK
| | - Ian W Ormiston
- Maxillofacial Surgery, Leicester Royal Infirmary, Infirmary Square, Leicester, East Midlands, LE1 5WW, UK
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