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Lee MH, Sin S, Lee S, Wagshul ME, Zimmerman ME, Arens R. Cortical thickness and hippocampal volume in adolescent children with obstructive sleep apnea. Sleep 2023; 46:zsac201. [PMID: 36006869 PMCID: PMC9995789 DOI: 10.1093/sleep/zsac201] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/07/2022] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Intermittent hypoxia and sleep fragmentation due to obstructive sleep apnea (OSA) may contribute to oxidative tissue damage and apoptotic neuronal cell death, inflammation, and intracellular edema in the brain. We examined whether OSA in overweight and obese adolescent children is associated with cortical thickness and hippocampal structure compared to overweight and obese controls and whether OSA severity is associated with measures of brain integrity. METHODS We calculated cortical thickness and hippocampal subfield volumes from T1-weighted images of 45 controls (age 15.43 ± 1.73 years, 21 male) and 53 adolescent children with OSA (age 15.26 ± 1.63 years, 32 male) to investigate the association of childhood OSA with the alteration of cortical structure and hippocampal subfield structural changes. In addition, we investigated the correlation between OSA severity and cortical thickness or hippocampal subfield volume using Pearson's correlation analysis. RESULTS We found cortical thinning in the right superior parietal area of adolescent children with OSA (cluster size 32.29 mm2, cluster-wise corrected p-value = .030) that was negatively correlated with apnea-hypopnea index (AHI) (R=-0.27, p-value = .009) and arousal index (R=-0.25, p-value = .014). In addition, the volume of the right subiculum-head area of the hippocampus of adolescent children with OSA was larger than controls (0.19 ± 0.02 ml vs. 0.18 ± 0.02 ml, β = 13.79, false discovery rate corrected p-value = .044), and it was positively correlated with AHI (R = 0.23, p-value = .026) and arousal index (R = 0.31, p-value = .002). CONCLUSIONS Our findings provide evidence for OSA-associated brain structure alterations in adolescent children prior to the onset of treatment that likely have important implications for timely intervention and continued monitoring of health outcomes.
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Affiliation(s)
- Min-Hee Lee
- Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan 15355, Republic of Korea
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/ Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Seonjoo Lee
- Department of Biostatistics and Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY 10032, USA
| | - Mark E Wagshul
- Department of Radiology, Albert Einstein College of Medicine, Gruss MRRC, Bronx, NY 10467, USA
| | | | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/ Albert Einstein College of Medicine, Bronx, NY 10467, USA
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Maselli K, Park H, Breilyn MS, Arens R. Severe central sleep apnea in a child with biallelic variants in NALCN. J Clin Sleep Med 2022; 18:2507-2513. [PMID: 35808948 PMCID: PMC9516572 DOI: 10.5664/jcsm.10146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022]
Abstract
The sodium leak channel, nonselective (NALCN), is necessary for the proper function of the neurons that play an important role in the sleep-wake cycle and regulation of breathing patterns during wakefulness and sleep. We report a 38-month-old male with developmental delay, hypotonia, and severe central sleep apnea with periodic breathing requiring noninvasive ventilation during sleep, who was found to have novel biallelic pathogenic variants in NALCN. A review of the literature illustrates 17 additional children with biallelic variants in the NALCN gene. The clinical and sleep manifestations of these children are discussed. CITATION Maselli K, Park H, Breilyn MS, Arens R. Severe central sleep apnea in a child with biallelic variants in NALCN. J Clin Sleep Med. 2022;18(10):2507-2513.
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Affiliation(s)
- Kristina Maselli
- Sleep Wake Disorders Center, Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Hyunbin Park
- Division of Pediatric Respiratory and Sleep Medicine, Department of Pediatrics, Children’s Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Margo Sheck Breilyn
- Genetics and Genomics, Department of Pediatrics, The Mount Sinai Hospital, New York, New York
| | - Raanan Arens
- Division of Pediatric Respiratory and Sleep Medicine, Department of Pediatrics, Children’s Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
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Chickmagalur S, Davitt M, Lahoutiharahdashti A, Mitchell W, Arens R, Wallace MW, Sutyla RF, Plemmons G, Schmitz A, Town R, Siembida J, Wood KE. Respiratory Distress: Three Patient Cases. Pediatr Rev 2022; 43:322-337. [PMID: 35641452 DOI: 10.1542/pir.2020-003780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
As mentioned in the January 2022 Pediatrics in Review Commentary, we now present three patients who have a common chief complaint followed by 5 questions for CME credit. All three cases have discussions on presentation, the differential diagnosis, and management that collectively serve as a Review article. The common theme here is that all three patients have difficulty breathing. We hope you will enjoy this review format.
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Lee MH, Sin S, Lee S, Park H, Wagshul ME, Zimmerman ME, Arens R. Altered cortical structure network in children with obstructive sleep apnea. Sleep 2022; 45:zsac030. [PMID: 35554588 PMCID: PMC9113011 DOI: 10.1093/sleep/zsac030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/10/2022] [Indexed: 02/07/2023] Open
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA) is characterized by recurrent airway collapse during sleep, resulting in intermittent hypoxia and sleep fragmentation that may contribute to alternations in brain structure and function. We hypothesized that OSA in children reorganizes and alters cortical structure, which can cause changes in cortical thickness correlation between brain regions across subjects. METHODS We constructed cortical structure networks based on cortical thickness measurements from 41 controls (age 15.54 ± 1.66 years, male 19) and 50 children with OSA (age 15.32 ± 1.65 years, male 29). The global (clustering coefficient [CC], path length, and small-worldness) and regional (nodal betweenness centrality, NBC) network properties and hub region distributions were examined between groups. RESULTS We found increased CCs in OSA compared to controls across a wide range of network densities (p-value < .05) and lower NBC area under the curve in left caudal anterior cingulate, left caudal middle frontal, left fusiform, left transverse temporal, right pars opercularis, and right precentral gyri (p-value < .05). In addition, while most of the hub regions were the same between groups, the OSA group had fewer hub regions and a different hub distribution compared to controls. CONCLUSIONS Our findings suggest that children with OSA exhibit altered global and regional network characteristics compared to healthy controls. Our approach to the investigation of cortical structure in children with OSA could prove useful in understanding the etiology of OSA-related brain functional disorders.
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Affiliation(s)
- Min-Hee Lee
- Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Seonjoo Lee
- Department of Biostatistics and Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY, USA
| | - Hyunbin Park
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mark E Wagshul
- Department of Radiology, Albert Einstein College of Medicine, Gruss MRRC, Bronx, NY, USA
| | | | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, NY, USA
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Underland LJ, Kenigsberg Fechter L, Agarwal C, Sin S, Punjabi N, Heptulla R, Arens R. Insulin sensitivity and obstructive sleep apnea in adolescents with polycystic ovary syndrome. Minerva Endocrinol (Torino) 2022:S2724-6507.22.03619-3. [PMID: 35388662 DOI: 10.23736/s2724-6507.22.03619-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) in adults is linked with insulin resistance (IR) and obstructive sleep apnea (OSA). However, less is known about these associations in adolescents. METHODS We studied 3 groups of adolescents: 27 obese PCOS (OPCOS) (ages 13-21)11 normal-weight PCOS (NPCOS) (ages 13-21 years), and 8 healthy controls (ages 18-21 years). A hyperinsulinemic euglycemic clamp study was performed in all groups to determine IR by insulin sensitivity (M/I). Polysomnography was performed to assess for OSA in OPCOS and NPCOS groups. We compared indices of IR among all groups and OSA among OPCOS, and NPCOS. RESULTS We noted that OPCOS and NPCOS and controls differed significantly in their IR. M/I was significantly lower in OPCOS vs. controls (p=0.0061), and also lower for NPCOS vs control but this approached but did not reach statistical significance (p=0.084). In addition, none of the NPCOS subjects had OSA compared to 42% of OPCOS (p=0.03). CONCLUSIONS Our study suggests OPCOS adolescents have increased IR compared to controls and NPCOS subjects. Higher IR for NPCOS vs controls approached but did not reach statistical significance. Larger studies are needed. In addition, adolescents with OPCOS are at a high risk for OSA.
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Affiliation(s)
- Lisa J Underland
- Division of Pediatric Endocrinology, Department of Pediatrics, Children's Hospital at Montefiore and Albert Einstein College of Medicine, New York, NY, USA -
| | | | - Chhavi Agarwal
- Division of Pediatric Endocrinology, Department of Pediatrics, Children's Hospital at Montefiore and Albert Einstein College of Medicine, New York, NY, USA
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Department of Pediatrics, Children's Hospital at Montefiore and Albert Einstein College of Medicine, New York, NY, USA
| | - Netra Punjabi
- Division of Pediatric Endocrinology, Lucile Packard Children's Hospital Stanford Palo Alto, Palo Alto, CA, USA
| | - Rubina Heptulla
- Division of Pediatric Endocrinology, Department of Pediatrics, Children's Hospital at Montefiore and Albert Einstein College of Medicine, New York, NY, USA
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Department of Pediatrics, Children's Hospital at Montefiore and Albert Einstein College of Medicine, New York, NY, USA
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Xie L, Udupa JK, Tong Y, Torigian DA, Huang Z, Kogan RM, Wootton D, Choy KR, Sin S, Wagshul ME, Arens R. Automatic upper airway segmentation in static and dynamic MRI via anatomy-guided convolutional neural networks. Med Phys 2021; 49:324-342. [PMID: 34773260 DOI: 10.1002/mp.15345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 09/08/2021] [Accepted: 10/29/2021] [Indexed: 11/10/2022] Open
Abstract
PURPOSE Upper airway segmentation on MR images is a prerequisite step for quantitatively studying the anatomical structure and function of the upper airway and surrounding tissues. However, the complex variability of intensity and shape of anatomical structures and different modes of image acquisition commonly used in this application makes automatic upper airway segmentation challenging. In this paper, we develop and test a comprehensive deep learning-based segmentation system for use on MR images to address this problem. MATERIALS AND METHODS In our study, both static and dynamic MRI data sets are utilized, including 58 axial static 3D MRI studies, 22 mid-retropalatal dynamic 2D MRI studies, 21 mid-retroglossal dynamic 2D MRI studies, 36 mid-sagittal dynamic 2D MRI studies, and 23 isotropic dynamic 3D MRI studies, involving a total of 160 subjects and over 20 000 MRI slices. Samples of static and 2D dynamic MRI data sets were randomly divided into training, validation, and test sets by an approximate ratio of 5:2:3. Considering that the variability of annotation data among 3D dynamic MRIs was greater than for other MRI data sets, we increased the ratio of training data for these data to improve the robustness of the model. We designed a unified framework consisting of the following procedures. For static MRI, a generalized region-of-interest (GROI) strategy is applied to localize the partitions of nasal cavity and other portions of upper airway in axial data sets as two separate subobjects. Subsequently, the two subobjects are segmented by two separate 2D U-Nets. The two segmentation results are combined as the whole upper airway structure. The GROI strategy is also applied to other MRI modes. To minimize false-positive and false-negative rates in the segmentation results, we employed a novel loss function based explicitly on these rates to train the segmentation networks. An inter-reader study is conducted to test the performance of our system in comparison to human variability in ground truth (GT) segmentation of these challenging structures. RESULTS The proposed approach yielded mean Dice coefficients of 0.84±0.03, 0.89±0.13, 0.84±0.07, and 0.86±0.05 for static 3D MRI, mid-retropalatal/mid-retroglossal 2D dynamic MRI, mid-sagittal 2D dynamic MRI, and isotropic dynamic 3D MRI, respectively. The quantitative results show excellent agreement with manual delineation results. The inter-reader study results demonstrate that the segmentation performance of our approach is statistically indistinguishable from manual segmentations considering the inter-reader variability in GT. CONCLUSIONS The proposed method can be utilized for routine upper airway segmentation from static and dynamic MR images with high accuracy and efficiency. The proposed approach has the potential to be employed in other dynamic MRI-related applications, such as lung or heart segmentation.
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Affiliation(s)
- Lipeng Xie
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.,Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jayaram K Udupa
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yubing Tong
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Drew A Torigian
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Zihan Huang
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Rachel M Kogan
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David Wootton
- The Cooper Union for the Advancement of Science and Art, New York, New York, USA
| | - Kok R Choy
- The Cooper Union for the Advancement of Science and Art, New York, New York, USA
| | - Sanghun Sin
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Mark E Wagshul
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Raanan Arens
- Albert Einstein College of Medicine, Bronx, New York, USA
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7
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Choy KR, Sin S, Tong Y, Udupa JK, Luchtenburg DM, Wagshul ME, Arens R, Wootton DM. Upper airway effective compliance during wakefulness and sleep in obese adolescents studied via two-dimensional dynamic MRI and semiautomated image segmentation. J Appl Physiol (1985) 2021; 131:532-543. [PMID: 34080921 DOI: 10.1152/japplphysiol.00839.2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Novel biomarkers of upper airway biomechanics may improve diagnosis of obstructive sleep apnea syndrome (OSAS). Upper airway effective compliance (EC), the slope of cross-sectional area versus pressure estimated using computational fluid dynamics (CFD), correlates with apnea-hypopnea index (AHI) and critical closing pressure (Pcrit). The study objectives are to develop a fast, simplified method for estimating EC using dynamic MRI and physiological measurements and to explore the hypothesis that OSAS severity correlates with mechanical compliance during wakefulness and sleep. Five obese children with OSAS and five control subjects with obesity aged 12-17 yr underwent anterior rhinomanometry, polysomnography, and dynamic MRI with synchronized airflow measurement during wakefulness and sleep. Airway cross section in retropalatal and retroglossal section images was segmented using a novel semiautomated method that uses optimized singular value decomposition (SVD) image filtering and k-means clustering combined with morphological operations. Pressure was estimated using rhinomanometry Rohrer's coefficients and flow rate, and EC was calculated from the area-pressure slope during five normal breaths. Correlations between apnea-hypopnea index (AHI), EC, and cross-sectional area (CSA) change were calculated using Spearman's rank correlation. The semiautomated method efficiently segmented the airway with average Dice Coefficient above 89% compared with expert manual segmentation. AHI correlated positively with EC at the retroglossal site during sleep (rs = 0.74, P = 0.014) and with change of EC from wake to sleep at the retroglossal site (rs = 0.77, P = 0.01). CSA change alone did not correlate significantly with AHI. EC, a mechanical biomarker which includes both CSA change and pressure variation, is a potential diagnostic biomarker for studying and managing OSAS.NEW & NOTEWORTHY This study investigated the dynamics of the upper airway at retropalatal and retroglossal sites during wakefulness and sleep by evaluating the effective compliance (EC) of each site and its correlation with apnea-hypopnea index (AHI) using novel semiautomated image processing. AHI correlated significantly with retroglossal EC during sleep and change of retroglossal EC from wake to sleep. The results suggest EC as a promising noninvasive diagnostic marker for estimating the mechanical properties of various upper airway regions in patients with OSAS.
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Affiliation(s)
- Kok Ren Choy
- The Cooper Union for the Advancement of Science and Art, New York, New York
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Bronx, New York
| | - Yubing Tong
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jayaram K Udupa
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Dirk M Luchtenburg
- The Cooper Union for the Advancement of Science and Art, New York, New York
| | - Mark E Wagshul
- Department of Radiology, Gruss MRRC, Albert Einstein College of Medicine, Bronx, New York
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Bronx, New York.,Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York
| | - David M Wootton
- The Cooper Union for the Advancement of Science and Art, New York, New York
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Bitners AC, Arens R, Mahgerefteh J, Sutton NJ, Silver EJ, Sin S, Khan MA, Yang CJ. Prevalence of elevated right ventricular pressure in children with obstructive sleep apnea syndrome undergoing pulmonary hypertension screening. J Clin Sleep Med 2021; 17:2225-2232. [PMID: 34027888 DOI: 10.5664/jcsm.9412] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Our objective was to determine the prevalence of elevated right ventricular pressure (RVP) as a surrogate marker for pulmonary hypertension (PH) in children with obstructive sleep apnea syndrome (OSAS) undergoing echocardiography. METHODS Retrospective chart review of children age 2-21 years diagnosed with OSAS by an overnight polysomnogram (PSG) who underwent cardiac echocardiogram to screen for PH within 6 months of PSG in a tertiary inner-city pediatric hospital. The primary outcome was elevated RVP defined by estimated RVP ≥ 25 mm Hg above right atrial pressure or ventricular septal configuration consistent with elevated RVP. RESULTS A total of 174 children were included. The median (interquartile range [IQR]) age was 8.9 (5.5-13.1) years with 59.2% male, 41.4% Hispanic, and 25.9% non-Hispanic Black. The prevalence of obesity was 72.0% and severe or very severe OSAS was present in 93.1%. The median (IQR) apnea-hypopnea index was 28.3 events/h (18.8-52.7 events/h). Seven children (4.0%) had elevated RVP. There was no association between elevated RVP and age, sex, race, BMI percentile, apnea-hypopnea index (AHI), oxygen nadir, or severe (AHI ≥ 10) OSAS. CONCLUSIONS Elevated RVP was rare and was not associated with OSAS severity. The prevalence in this cohort is higher than the prevalence of PH noted in similar studies (0-1.8%), which may be related to differences in methodology or unassessed cohort characteristics. Further effort to determine the optimal role for PH screening in pediatric OSAS is needed.
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Affiliation(s)
| | - Raanan Arens
- Albert Einstein College of Medicine, Bronx, NY.,Department of Pediatrics, Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Bronx, NY
| | - Joseph Mahgerefteh
- Department of Pediatrics, Division of Pediatric Cardiology, Mount Sinai Kravis Children's Hospital, New York, NY
| | - Nicole J Sutton
- Albert Einstein College of Medicine, Bronx, NY.,Department of Pediatrics, Division of Pediatric Cardiology, Children's Hospital at Montefiore, Bronx, NY
| | - Ellen J Silver
- Albert Einstein College of Medicine, Bronx, NY.,Department of Pediatrics, Children's Hospital at Montefiore, Bronx, NY
| | - Sanghun Sin
- Department of Pediatrics, Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Bronx, NY
| | - Masrur A Khan
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA
| | - Christina J Yang
- Albert Einstein College of Medicine, Bronx, NY.,Department of Otolaryngology-Head and Neck Surgery, Division of Pediatric Otolaryngology, Children's Hospital at Montefiore, Bronx, NY
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9
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Bitners AC, Sin S, Agrawal S, Lee S, Udupa JK, Tong Y, Wootton DM, Choy KR, Wagshul ME, Arens R. Effect of sleep on upper airway dynamics in obese adolescents with obstructive sleep apnea syndrome. Sleep 2021; 43:5819384. [PMID: 32280981 DOI: 10.1093/sleep/zsaa071] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Indexed: 02/06/2023] Open
Abstract
STUDY OBJECTIVES The biomechanical basis of obstructive sleep apnea syndrome (OSAS) may influence upper airway dynamics. In this study, we investigate dynamic changes during respiration in wakefulness and sleep in obese adolescents with and without OSAS. METHODS Respiratory-gated dynamic magnetic resonance imaging (MRI) at the retropalatal and retroglossal regions was performed with simultaneous measurement of SpO2 and nasal-oral mask airflow and pressure. Airway cross-sectional area (CSA) was determined using AMIRA. Percent change in CSA was calculated from five continuous tidal breaths in states of wakefulness and sleep. Mixed effects models were used to evaluate interactions between group (OSAS/control), site (retropalatal/retroglossal), and stage (wake/sleep). RESULTS We studied 24 children with OSAS (mean age 15.49 ± 2.00 years, mean apnea-hypopnea index [AHI] 16.53 ± 8.72 events/h) and 19 controls (mean age 14.86 ± 1.75 years, mean AHI 2.12 ± 1.69 events/h). Groups were similar in age, sex, height, weight, and BMI Z-score. Participants with OSAS had a 48.17% greater increase in percent change of airway CSA during sleep than controls (p < 0.0001), while there was no difference between groups during wakefulness (p = 0.6589). Additionally, participants with OSAS had a 48.80% increase in percent change of airway CSA during sleep as compared with wakefulness (p < 0.0001), whereas no such relationship was observed in controls (p = 0.5513). CONCLUSIONS This study demonstrates significant effects of sleep on upper airway dynamics in obese children with OSAS. Dynamic MRI with physiological data can potentially provide further insight into the biomechanical basis of OSAS and assist in more effective management.
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Affiliation(s)
| | - Sanghun Sin
- Department of Pediatrics, Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Bronx, NY
| | - Sabhyata Agrawal
- Department of Pediatrics, Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Bronx, NY
| | - Seonjoo Lee
- Department of Biostatistics and Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY
| | - Jayaram K Udupa
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - Yubing Tong
- Department of Radiology, University of Pennsylvania, Philadelphia, PA
| | - David M Wootton
- Department of Mechanical Engineering, Cooper Union, New York, NY
| | - Kok Ren Choy
- Department of Mechanical Engineering, Cooper Union, New York, NY
| | - Mark E Wagshul
- Albert Einstein College of Medicine, Bronx, NY.,Department of Radiology, Montefiore Medical Center, Bronx, NY
| | - Raanan Arens
- Albert Einstein College of Medicine, Bronx, NY.,Department of Pediatrics, Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Bronx, NY
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Sun C, Udupa JK, Tong Y, Sin S, Wagshul M, Torigian DA, Arens R. Segmentation of 4D images via space-time neural networks. Proc SPIE Int Soc Opt Eng 2020; 11317. [PMID: 33052163 DOI: 10.1117/12.2549605] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Medical imaging techniques currently produce 4D images that portray the dynamic behaviors and phenomena associated with internal structures. The segmentation of 4D images poses challenges different from those arising in segmenting 3D static images due to different patterns of variation of object shape and appearance in the space and time dimensions. In this paper, different network models are designed to learn the pattern of slice-to-slice change in the space and time dimensions independently. The two models then allow a gamut of strategies to actually segment the 4D image, such as segmentation following just the space or time dimension only, or following first the space dimension for one time instance and then following all time instances, or vice versa, etc. This paper investigates these strategies in the context of the obstructive sleep apnea (OSA) application and presents a unified deep learning framework to segment 4D images. Because of the sparse tubular nature of the upper airway and the surrounding low-contrast structures, inadequate contrast resolution obtainable in the magnetic resonance (MR) images leaves many challenges for effective segmentation of the dynamic airway in 4D MR images. Given that these upper airway structures are sparse, a Dice coefficient (DC) of ~0.88 for their segmentation based on our preferred strategy is similar to a DC of >0.95 for large non-sparse objects like liver, lungs, etc., constituting excellent accuracy.
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Affiliation(s)
- Changjian Sun
- College of Electronic Science and Engineering, Jilin University, Changchun, China.,Medical Image Processing Group, 602 Goddard building, 3710 Hamilton Walk, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Jayaram K Udupa
- Medical Image Processing Group, 602 Goddard building, 3710 Hamilton Walk, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Yubing Tong
- Medical Image Processing Group, 602 Goddard building, 3710 Hamilton Walk, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York 10467, United States
| | - Mark Wagshul
- Department of Radiology, Gruss MRRC, Albert Einstein College of Medicine, Bronx, New York 10467, United States
| | - Drew A Torigian
- Medical Image Processing Group, 602 Goddard building, 3710 Hamilton Walk, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York 10467, United States
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Abstract
Obstructive sleep apnea syndrome (OSAS) is a common pediatric disorder characterized by recurrent events of partial or complete upper airway obstruction during sleep which result in abnormal ventilation and sleep pattern. OSAS in children is associated with neurobehavioral deficits and cardiovascular morbidity which highlights the need for prompt recognition, diagnosis, and treatment. The purpose of this state-of-the-art review is to provide an update on the evaluation and management of children with OSAS with emphasis on children with complex medical comorbidities and those with residual OSAS following first-line treatment. Proposed treatment strategies reflecting recommendations from a variety of professional societies are presented. All children should be screened for OSAS and those with typical symptoms (e.g., snoring, restless sleep, and daytime hyperactivity) or risk factors (e.g., neurologic, genetic, and craniofacial disorders) should undergo further evaluation including referral to a sleep specialist or pediatric otolaryngologist and overnight polysomnography, which provides a definitive diagnosis. A cardiology and/or endocrinology evaluation should be considered in high-risk children. For the majority of children, first-line treatment is tonsillectomy with or without adenoidectomy; however, some children exhibit multiple levels of airway obstruction and may require additional evaluation and management. Anti-inflammatory medications, weight loss, and oral appliances may be appropriate in select cases, particularly for mild OSAS. Following initial treatment, all children should be monitored for residual symptoms and polysomnography may be repeated to identify persistent disease, which can be managed with positive airway pressure ventilation and additional surgical approaches if required.
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Affiliation(s)
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Department of Pediatrics, Albert Einstein College of Medicine, Children's Hospital at Montefiore, 3415 Bainbridge Avenue, Bronx, NY, 10467-2490, USA.
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12
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Khan MA, Mathur K, Barraza G, Sin S, Yang CJ, Arens R, Sutton N, Mahgerefteh J. The relationship of hypertension with obesity and obstructive sleep apnea in adolescents. Pediatr Pulmonol 2020; 55:1020-1027. [PMID: 32068974 DOI: 10.1002/ppul.24693] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 01/30/2020] [Indexed: 01/19/2023]
Abstract
OBJECTIVES To assess the independent relationships of obesity and obstructive sleep apnea (OSA) with hypertension/elevated blood pressure (EBP) in adolescent patients. STUDY DESIGN A retrospective cohort analysis was performed on 501 patients (age 13-21 years) with three separate blood pressure measurements within 6 months of polysomnography. EBP was defined as average systolic blood pressure (SBP) ≤120 mm Hg; obesity as body mass index Z-score ≤1.65; and OSA as obstructive apnea-hypopnea index <1. Pearson correlations and multivariable analyses were performed to assess the independent effects of the apnea-hypopnea index and body mass index Z-score on SBP. RESULTS Of 501 patients (mean age 16 ± 2 years), 246 (49%) were male. OSA was present in 329 (66%) patients, obesity in 337 (67%), and EBP in 262 (52%). EBP was present in 70% of obese adolescents and 60% of adolescents with OSA. Univariable correlation showed a significant relationship between SBP, body mass index Z-score, and apnea-hypopnea index. Multivariable linear regression analysis showed blood pressure was significantly associated with body mass index Z-score (β = .46; P < .01), age (β = .25; P < .01), and height Z-score (β = .14; P < .01), but not apnea-hypopnea index (β = .01; P = .72). CONCLUSIONS The relationship between OSA and EBP in adolescents is most closely associated with the degree of obesity. Further studies are needed to assess the effect of the treatment of obesity and OSA on blood pressure in adolescents.
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Affiliation(s)
- Masrur A Khan
- Department of Pediatrics, Division of Pediatric Cardiology, Children's Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, New York
| | - Kanika Mathur
- Division of Pediatric Cardiology, Department of Pediatrics, Children's Heart Center/Mount Sinai School of Medicine, New York, New York
| | - Giselle Barraza
- Division of Respiratory and Sleep Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, New York
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, New York
| | - Christina J Yang
- Department of Otorhinolaryngology-Head and Neck Surgery, Division of Pediatric Otorhinolaryngology, Children's Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, New York
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Department of Pediatrics, Children's Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, New York
| | - Nicole Sutton
- Department of Pediatrics, Division of Pediatric Cardiology, Children's Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, New York
| | - Joseph Mahgerefteh
- Department of Pediatrics, Division of Pediatric Cardiology, Children's Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, New York
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13
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Hodges E, Marcus CL, Kim JY, Xanthopoulos M, Shults J, Giordani B, Beebe DW, Rosen CL, Chervin RD, Mitchell RB, Katz ES, Gozal D, Redline S, Elden L, Arens R, Moore R, Taylor HG, Radcliffe J, Thomas NH. Depressive symptomatology in school-aged children with obstructive sleep apnea syndrome: incidence, demographic factors, and changes following a randomized controlled trial of adenotonsillectomy. Sleep 2019; 41:5096052. [PMID: 30212861 DOI: 10.1093/sleep/zsy180] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Indexed: 11/13/2022] Open
Abstract
Study Objectives Depressive symptoms following adenotonsillectomy (AT) relative to controls were examined in children with obstructive sleep apnea syndrome (OSAS). Methods The Childhood Adenotonsillectomy Trial (CHAT) multisite study examined the impact of AT in 453 children aged 5 to 9.9 years with polysomnographic evidence of OSAS without prolonged desaturation, randomized to early adenotonsillectomy (eAT) or watchful waiting with supportive care (WWSC). One hundred seventy-six children (eAT n = 83; WWSC n = 93) with complete evaluations for depressive symptomatology between baseline and after a 7-month intervention period were included in this secondary analysis. Results Exact binomial test assessed proportion of depressive symptomatology relative to norms, while effects of AT and OSAS resolution were assessed through linear quantile mixed-models. Treatment group assignment did not significantly impact depression symptoms, although self-reported depression symptoms improved over time (p < 0.001). Resolution of OSAS symptoms demonstrated a small interaction effect in an unexpected direction, with more improvement in parent ratings of anxious/depressed symptoms for children without resolution (p = 0.030). Black children reported more severe depressive symptoms (p = 0.026) and parents of overweight/obese children reported more withdrawn/depressed symptoms (p = 0.004). Desaturation nadir during sleep was associated with self-report depressed (r = -0.17, p = 0.028), parent-reported anxious/depressed (r = -0.15, p = 0.049), and withdrawn/depressed (r = -0.24, p = 0.002) symptoms. Conclusions Increased risk for depressed and withdrawn/depressed symptoms was detected among children with OSAS, and different demographic variables contributed to risk in self-reported and parent-reported depression symptoms. Arterial oxygen desaturation nadir during sleep was strongly associated with depressed symptoms. However, despite improvements in child-reported depressed symptoms over time, changes were unrelated to either treatment group or OSAS resolution status. Trials Registration Childhood Adenotonsillectomy Study for Children with OSAS (CHAT), https://clinicaltrials.gov/show/NCT00560859, NCT00560859.
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Affiliation(s)
- Elise Hodges
- Department of Psychiatry, University of Michigan, Ann Arbor, MI
| | - Carole L Marcus
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA.,Sleep Center and Center for Human Phenomic Science, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Ji Young Kim
- Sleep Center and Center for Human Phenomic Science, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Melissa Xanthopoulos
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Justine Shults
- Center for Human Phenomic Science, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Bruno Giordani
- Department of Psychiatry, University of Michigan, Ann Arbor, MI
| | - Dean W Beebe
- Department of Pediatrics, University of Cincinnati College of Medicine and Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Carol L Rosen
- Department of Pediatrics, Rainbow Babies and Children's Hospital, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Ronald D Chervin
- Department of Neurology and Sleep Disorders Center, University of Michigan, Ann Arbor, MI
| | - Ron B Mitchell
- Department of Otolaryngology Head and Neck Surgery, University of Texas Southwestern and Children's Medical Center Dallas, Dallas, TX
| | - Eliot S Katz
- Division of Respiratory Diseases, Boston Children's Hospital, Boston, MA
| | - David Gozal
- Department of Pediatrics, University of Chicago, Chicago, IL
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA.,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.,Department of Medicine, Harvard Medical School, Boston, MA
| | - Lisa Elden
- Division of Otolaryngology, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York City, NY
| | - Renee Moore
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA
| | - H Gerry Taylor
- Center for Behavioral Health, Nationwide Children's Hospital Research Institute, Columbus, OH.,Department of Pediatrics, Ohio State University, Columbus, OH
| | - Jerilynn Radcliffe
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA.,Center for Human Phenomic Science, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Nina H Thomas
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, The Children's Hospital of Philadelphia, Philadelphia, PA.,Center for Human Phenomic Science, The Children's Hospital of Philadelphia, Philadelphia, PA
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14
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Lin J, Morrone K, Manwani D, Chernin R, Silver EJ, Shifteh K, Sin S, Arens R, Graw-Panzer K. Association Between Periodic Limb Movements in Sleep and Cerebrovascular Changes in Children With Sickle Cell Disease. J Clin Sleep Med 2019; 15:1011-1019. [PMID: 31383239 DOI: 10.5664/jcsm.7884] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 03/14/2019] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Periodic limb movements (PLMs) have been associated with increased risk of stroke, but there is currently scarce research exploring this relationship in the setting of sickle cell disease (SCD). The aim of this study was to explore whether increased PLMs in children with SCD are associated with increased risk of cerebrovascular disease and to determine if there are any clinical or laboratory differences between children with SCD with elevated periodic limb movement index (PLMI) versus those with normal PLMI. METHODS This study is a comprehensive review of medical records of 129 children with SCD (aged ≤ 18 years) who had undergone polysomnography for evaluation of sleep-disordered breathing. RESULTS Elevated PLMI (PLMI > 5 events/h) was present in 42% (54/129) of children with SCD. Children with elevated PLMI were found to have higher percentage of hemoglobin S, lower total iron, higher arousal index and tendency toward elevated transcranial Doppler velocity (P = .063, odds ratio = 3.9, 95% CI 0.93-16.22). While association between elevated PLMI and isolated cerebrovascular stenosis (P = .050, odds ratio 5.6, 95% CI 1.0-31.10) trended toward significance, there was significantly greater proportion of children with elevated PLMI who had cerebrovascular stenosis with Moyamoya disease (P = .046) as demonstrated by magnetic resonance imaging (MRI). CONCLUSIONS The prevalence of elevated PLMI in children with SCD was higher than in previously published data. Elevated PLMI was significantly associated with greater rates of cerebrovascular disease as detected by MRI.
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Affiliation(s)
- Jenny Lin
- Division of Pediatric Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
| | - Kerry Morrone
- Division of Pediatric Hematology and Oncology, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
| | - Deepa Manwani
- Division of Pediatric Hematology and Oncology, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
| | - Rina Chernin
- Division of Pediatric Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
| | - Ellen J Silver
- Division of Academic General Pediatrics, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
| | - Keivan Shifteh
- Division of Radiology, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
| | - Sanghun Sin
- Division of Pediatric Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
| | - Raanan Arens
- Division of Pediatric Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
| | - Katharina Graw-Panzer
- Division of Pediatric Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, New York, New York
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15
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Wang H, Cade BE, Sofer T, Sands SA, Chen H, Browning SR, Stilp AM, Louie TL, Thornton TA, Johnson WC, Below JE, Conomos MP, Evans DS, Gharib SA, Guo X, Wood AC, Mei H, Yaffe K, Loredo JS, Ramos AR, Barrett-Connor E, Ancoli-Israel S, Zee PC, Arens R, Shah NA, Taylor KD, Tranah GJ, Stone KL, Hanis CL, Wilson JG, Gottlieb DJ, Patel SR, Rice K, Post WS, Rotter JI, Sunyaev SR, Cai J, Lin X, Purcell SM, Laurie CC, Saxena R, Redline S, Zhu X. Admixture mapping identifies novel loci for obstructive sleep apnea in Hispanic/Latino Americans. Hum Mol Genet 2019; 28:675-687. [PMID: 30403821 DOI: 10.1093/hmg/ddy387] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 11/05/2018] [Indexed: 01/11/2023] Open
Abstract
Obstructive sleep apnea (OSA) is a common disorder associated with increased risk of cardiovascular disease and mortality. Its prevalence and severity vary across ancestral background. Although OSA traits are heritable, few genetic associations have been identified. To identify genetic regions associated with OSA and improve statistical power, we applied admixture mapping on three primary OSA traits [the apnea hypopnea index (AHI), overnight average oxyhemoglobin saturation (SaO2) and percentage time SaO2 < 90%] and a secondary trait (respiratory event duration) in a Hispanic/Latino American population study of 11 575 individuals with significant variation in ancestral background. Linear mixed models were performed using previously inferred African, European and Amerindian local genetic ancestry markers. Global African ancestry was associated with a lower AHI, higher SaO2 and shorter event duration. Admixture mapping analysis of the primary OSA traits identified local African ancestry at the chromosomal region 2q37 as genome-wide significantly associated with AHI (P < 5.7 × 10-5), and European and Amerindian ancestries at 18q21 suggestively associated with both AHI and percentage time SaO2 < 90% (P < 10-3). Follow-up joint ancestry-SNP association analyses identified novel variants in ferrochelatase (FECH), significantly associated with AHI and percentage time SaO2 < 90% after adjusting for multiple tests (P < 8 × 10-6). These signals contributed to the admixture mapping associations and were replicated in independent cohorts. In this first admixture mapping study of OSA, novel associations with variants in the iron/heme metabolism pathway suggest a role for iron in influencing respiratory traits underlying OSA.
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Affiliation(s)
- Heming Wang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.,Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Scott A Sands
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sharon R Browning
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Tin L Louie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Department of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Neurology, University of California, San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Jose S Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, CA, USA
| | - Alberto R Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Sonia Ancoli-Israel
- Departments of Medicine and Psychiatry, University of California, San Diego, CA, USA.,Department of Veterans Affairs, San Diego Center of Excellence for Stress and Mental Health, San Diego, CA, USA
| | - Phyllis C Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, IL, USA
| | - Raanan Arens
- The Children's Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Neomi A Shah
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Craig L Hanis
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - James G Wilson
- Physiology and Biophysics, University of Mississippi, Jackson, MS, USA
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,VA Boston Healthcare System, Boston, MA, USA
| | - Sanjay R Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Wendy S Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Shamil R Sunyaev
- Broad Institute, Cambridge, MA 02142, USA.,Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.,Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shaun M Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA.,Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA.,Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
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16
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Cade BE, Chen H, Stilp AM, Louie T, Ancoli-Israel S, Arens R, Barfield R, Below JE, Cai J, Conomos MP, Evans DS, Frazier-Wood AC, Gharib SA, Gleason KJ, Gottlieb DJ, Hillman DR, Johnson WC, Lederer DJ, Lee J, Loredo JS, Mei H, Mukherjee S, Patel SR, Post WS, Purcell SM, Ramos AR, Reid KJ, Rice K, Shah NA, Sofer T, Taylor KD, Thornton TA, Wang H, Yaffe K, Zee PC, Hanis CL, Palmer LJ, Rotter JI, Stone KL, Tranah GJ, Wilson JG, Sunyaev SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S. Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep. PLoS Genet 2019; 15:e1007739. [PMID: 30990817 PMCID: PMC6467367 DOI: 10.1371/journal.pgen.1007739] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 10/03/2018] [Indexed: 12/12/2022] Open
Abstract
Sleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 × 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 × 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 × 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.
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Affiliation(s)
- Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX United States of America
- Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX United States of America
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Sonia Ancoli-Israel
- Department of Psychiatry, University of California, San Diego, CA, United States of America
| | - Raanan Arens
- The Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Richard Barfield
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Jennifer E. Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Jianwen Cai
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States of America
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Alexis C. Frazier-Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States of America
| | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle WA, United States of America
| | - Kevin J. Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States of America
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- VA Boston Healthcare System, Boston, MA, United States of America
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - David J. Lederer
- Departments of Medicine and Epidemiology, Columbia University, New York, NY, United States of America
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, CA, United States of America
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia
- Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, United States of America
| | - Shaun M. Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Kathryn J. Reid
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Neomi A. Shah
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Timothy A. Thornton
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, United States of America
- San Francisco VA Medical Center, San Francisco, CA, United States of America
| | - Phyllis C. Zee
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Craig L. Hanis
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX United States of America
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, South Australia, Australia
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson MS, United States of America
| | - Shamil R. Sunyaev
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, United States of America
- Division of Medical Sciences, Harvard Medical School, Boston, MA, United States of America
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
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Simons KH, Aref Z, Peters HAB, Welten SP, Nossent AY, Jukema JW, Hamming JF, Arens R, de Vries MR, Quax PHA. The role of CD27-CD70-mediated T cell co-stimulation in vasculogenesis, arteriogenesis and angiogenesis. Int J Cardiol 2018; 260:184-190. [PMID: 29622436 DOI: 10.1016/j.ijcard.2018.02.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 01/25/2018] [Accepted: 02/02/2018] [Indexed: 01/04/2023]
Abstract
BACKGROUND T cells have a distinctive role in neovascularization, which consists of arteriogenesis and angiogenesis under pathological conditions and vasculogenesis under physiological conditions. However, the role of co-stimulation in T cell activation in neovascularization has yet to be established. The aim of this study was to investigate the role T cell co-stimulation and inhibition in angiogenesis, arteriogenesis and vasculogenesis. METHODS AND RESULTS Hind limb ischemia was induced by double ligation of the left femoral artery in mice and blood flow recovery was measured with Laser Doppler Perfusion Imaging in control, CD70-/-, CD80/86-/-, CD70/80/86-/- and CTLA4+/- mice. Blood flow recovery was significantly impaired in mice lacking CD70 compared to control mice, but was similar in CD80/86-/-, CTLA4+/- and control mice. Mice lacking CD70 showed impaired vasculogenesis, since the number of pre-existing collaterals was reduced as observed in the pia mater compared to control mice. In vitro an impaired capability of vascular smooth muscle cells (VSMC) to activate T cells was observed in VSMC lacking CD70. Furthermore, CD70-/-, CD80/86-/- and CD70/80/86-/- mice showed reduced angiogenesis in the soleus muscle 10 days after ligation. Arteriogenesis was also decreased in CD70-/- compared to control mice 10 and 28 days after surgery. CONCLUSIONS The present study is the first to describe an important role for T cell activation via co-stimulation in angiogenesis, arteriogenesis and vasculogenesis, where the CD27-CD70 T cell co-stimulation pathway appears to be the most important co-stimulation pathway in pre-existing collateral formation and post-ischemic blood flow recovery, by arteriogenesis and angiogenesis.
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Affiliation(s)
- K H Simons
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Z Aref
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - H A B Peters
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - S P Welten
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - A Y Nossent
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - J W Jukema
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - J F Hamming
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - R Arens
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - M R de Vries
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - P H A Quax
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
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18
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Subramaniam DR, Arens R, Wagshul ME, Sin S, Wootton DM, Gutmark EJ. Biomechanics of the soft-palate in sleep apnea patients with polycystic ovarian syndrome. J Biomech 2018; 76:8-15. [PMID: 29793766 DOI: 10.1016/j.jbiomech.2018.05.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Revised: 05/01/2018] [Accepted: 05/07/2018] [Indexed: 11/28/2022]
Abstract
Highly compliant tissue supporting the pharynx and low muscle tone enhance the possibility of upper airway occlusion in children with obstructive sleep apnea (OSA). The present study describes subject-specific computational modeling of flow-induced velopharyngeal narrowing in a female child with polycystic ovarian syndrome (PCOS) with OSA and a non-OSA control. Anatomically accurate three-dimensional geometries of the upper airway and soft-palate were reconstructed for both subjects using magnetic resonance (MR) images. A fluid-structure interaction (FSI) shape registration analysis was performed using subject-specific values of flow rate to iteratively compute the biomechanical properties of the soft-palate. The optimized shear modulus for the control was 38 percent higher than the corresponding value for the OSA patient. The proposed computational FSI model was then employed for planning surgical treatment for the apneic subject. A virtual surgery comprising of a combined adenoidectomy, palatoplasty and genioglossus advancement was performed to estimate the resulting post-operative patterns of airflow and tissue displacement. Maximum flow velocity and velopharyngeal resistance decreased by 80 percent and 66 percent respectively following surgery. Post-operative flow-induced forces on the anterior and posterior faces of the soft-palate were equilibrated and the resulting magnitude of tissue displacement was 63 percent lower compared to the pre-operative case. Results from this pilot study indicate that FSI computational modeling can be employed to characterize the mechanical properties of pharyngeal tissue and evaluate the effectiveness of various upper airway surgeries prior to their application.
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Affiliation(s)
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mark E Wagshul
- Gruss Magnetic Resonance Research Center, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | - David M Wootton
- Department of Mechanical Engineering, The Cooper Union for the Advancement of Science and Art, New York, NY, USA
| | - Ephraim J Gutmark
- Department of Aerospace Engineering and Engineering Mechanics, CEAS, University of Cincinnati, Cincinnati, OH, USA; UC Department of Otolaryngology - Head and Neck Surgery, Cincinnati, OH, USA.
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19
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Affiliation(s)
- K H Simons
- Leiden University Medical Center, Department of Surgery, Leiden, Netherlands
| | - HAB Peters
- Leiden University Medical Center, Department of Surgery, Leiden, Netherlands
| | - R Arens
- Leiden University Medical Center, Department of Immunohematology and Blood Transfusion, Leiden, Netherlands
| | - J W Jukema
- Leiden University Medical Center, Department of Cardiology, Leiden, Netherlands
| | - M R De Vries
- Leiden University Medical Center, Department of Surgery, Leiden, Netherlands
| | - PHA Quax
- Leiden University Medical Center, Department of Surgery, Leiden, Netherlands
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20
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Chen H, Cade BE, Gleason KJ, Bjonnes AC, Stilp AM, Sofer T, Conomos MP, Ancoli-Israel S, Arens R, Azarbarzin A, Bell GI, Below JE, Chun S, Evans DS, Ewert R, Frazier-Wood AC, Gharib SA, Haba-Rubio J, Hagen EW, Heinzer R, Hillman DR, Johnson WC, Kutalik Z, Lane JM, Larkin EK, Lee SK, Liang J, Loredo JS, Mukherjee S, Palmer LJ, Papanicolaou GJ, Penzel T, Peppard PE, Post WS, Ramos AR, Rice K, Rotter JI, Sands SA, Shah NA, Shin C, Stone KL, Stubbe B, Sul JH, Tafti M, Taylor KD, Teumer A, Thornton TA, Tranah GJ, Wang C, Wang H, Warby SC, Wellman DA, Zee PC, Hanis CL, Laurie CC, Gottlieb DJ, Patel SR, Zhu X, Sunyaev SR, Saxena R, Lin X, Redline S. Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. Am J Respir Cell Mol Biol 2018; 58:391-401. [PMID: 29077507 PMCID: PMC5854957 DOI: 10.1165/rcmb.2017-0237oc] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 10/24/2017] [Indexed: 12/19/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a common heritable disorder displaying marked sexual dimorphism in disease prevalence and progression. Previous genetic association studies have identified a few genetic loci associated with OSA and related quantitative traits, but they have only focused on single ethnic groups, and a large proportion of the heritability remains unexplained. The apnea-hypopnea index (AHI) is a commonly used quantitative measure characterizing OSA severity. Because OSA differs by sex, and the pathophysiology of obstructive events differ in rapid eye movement (REM) and non-REM (NREM) sleep, we hypothesized that additional genetic association signals would be identified by analyzing the NREM/REM-specific AHI and by conducting sex-specific analyses in multiethnic samples. We performed genome-wide association tests for up to 19,733 participants of African, Asian, European, and Hispanic/Latino American ancestry in 7 studies. We identified rs12936587 on chromosome 17 as a possible quantitative trait locus for NREM AHI in men (N = 6,737; P = 1.7 × 10-8) but not in women (P = 0.77). The association with NREM AHI was replicated in a physiological research study (N = 67; P = 0.047). This locus overlapping the RAI1 gene and encompassing genes PEMT1, SREBF1, and RASD1 was previously reported to be associated with coronary artery disease, lipid metabolism, and implicated in Potocki-Lupski syndrome and Smith-Magenis syndrome, which are characterized by abnormal sleep phenotypes. We also identified gene-by-sex interactions in suggestive association regions, suggesting that genetic variants for AHI appear to vary by sex, consistent with the clinical observations of strong sexual dimorphism.
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Affiliation(s)
- Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
- Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Kevin J. Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Andrew C. Bjonnes
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Sonia Ancoli-Israel
- Departments of Medicine and Psychiatry, University of California, San Diego, California
| | - Raanan Arens
- the Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Graeme I. Bell
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, the University of Chicago, Chicago, Illinois
| | - Jennifer E. Below
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sung Chun
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Ralf Ewert
- Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | | | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington
| | - José Haba-Rubio
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - Erika W. Hagen
- Department of Population Health Sciences, University of Wisconsin, Madison, Wisconsin
| | - Raphael Heinzer
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Zoltan Kutalik
- Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jacqueline M. Lane
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Emma K. Larkin
- Department of Medicine, Division of Allergy, Pulmonary, and Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Seung Ku Lee
- Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Jeokgum-ro, Danwon-gu, Ansan-si, Gyeonggi-Do, Republic of Korea
| | - Jingjing Liang
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, University of California San Diego School of Medicine, La Jolla, California
| | - Sutapa Mukherjee
- Adelaide Institute for Sleep Health, Flinders Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - George J. Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Thomas Penzel
- University Hospital Charité Berlin, Sleep Center, Berlin, Germany
| | - Paul E. Peppard
- Department of Population Health Sciences, University of Wisconsin, Madison, Wisconsin
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor–University of California Los Angeles Medical Center, Torrance, California
| | - Scott A. Sands
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Neomi A. Shah
- Division of Pulmonary, Critical Care, and Sleep, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Chol Shin
- Department of Pulmonary, Sleep, and Critical Care Medicine, College of Medicine, Korea University Ansan Hospital, Jeokgum-ro, Danwon-gu, Ansan-si, Gyeonggi-do, Republic of Korea
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Beate Stubbe
- Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Jae Hoon Sul
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California
| | - Mehdi Tafti
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
- Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor–University of California Los Angeles Medical Center, Torrance, California
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Chaolong Wang
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Simon C. Warby
- Department of Psychiatry, University of Montreal, Montreal, Quebec, Canada
| | - D. Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Phyllis C. Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, Illinois
| | - Craig L. Hanis
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Shamil R. Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts; and
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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21
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Thomas NH, Xanthopoulos MS, Kim JY, Shults J, Escobar E, Giordani B, Hodges E, Chervin RD, Paruthi S, Rosen CL, Taylor GH, Arens R, Katz ES, Beebe DW, Redline S, Radcliffe J, Marcus CL. Effects of Adenotonsillectomy on Parent-Reported Behavior in Children With Obstructive Sleep Apnea. Sleep 2017; 40:2982587. [PMID: 28199697 DOI: 10.1093/sleep/zsx018] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Objectives The childhood obstructive sleep apnea syndrome (OSAS) is associated with behavioral abnormalities. Studies on the effects of OSAS treatment on behavior are conflicting, with few studies using a randomized design. Further, studies may be confounded by the inclusion of behavioral outcome measures directly related to sleep. The objective of this study was to determine the effect of adenotonsillectomy on behavior in children with OSAS. We hypothesized that surgery would improve behavioral ratings, even when sleep symptom items were excluded from the analysis. Methods This was a secondary analysis of Child Behavior Checklist (CBCL) data, with and without exclusion of sleep-specific items, from the Childhood Adenotonsillectomy Trial (CHAT). CBCL was completed by caregivers of 380 children (7.0+1.4 [range 5-9] years) with OSAS randomized to early adenotonsillectomy (eAT) versus 7 months of watchful waiting with supportive care (WWSC). Results There was a high prevalence of behavioral problems at baseline; 16.6% of children had a Total Problems score in the clinically abnormal range. At follow-up, there were significant improvements in Total Problems (p < .001), Internalizing Behaviors (p = .04), Somatic Complaints (p = .01), and Thought Problems (p = .01) in eAT vs. WWSC participants. When specific sleep-related question items were removed from the analysis, eAT showed an overall improvement in Total (p = .02) and Other (p = .01) problems. Black children had less improvement in behavior following eAT than white children, but this difference attenuated when sleep-related items were excluded. Conclusions This large, randomized trial showed that adenotonsillectomy for OSAS improved parent-rated behavioral problems, even when sleep-specific behavioral issues were excluded from the analysis.
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Affiliation(s)
| | - Melissa S Xanthopoulos
- Department of Child and Adolescent Psychiatry and Behavioral Sciences.,Sleep Center, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Ji Young Kim
- Biostatistical and Informatics Cores of the Clinical and Translational Research Center and
| | - Justine Shults
- Biostatistical and Informatics Cores of the Clinical and Translational Research Center and
| | - Emma Escobar
- Biostatistical and Informatics Cores of the Clinical and Translational Research Center and
| | - Bruno Giordani
- Department of Psychiatry and Psychology, University of Michigan
| | - Elise Hodges
- Department of Psychiatry and Psychology, University of Michigan
| | - Ronald D Chervin
- Department of Neurology and Sleep Disorders Center, University of Michigan
| | | | - Carol L Rosen
- Department of Pediatrics, Rainbow Babies & Children's Hospital, Case Western Reserve University School of Medicine
| | - Gerry H Taylor
- Department of Pediatrics, Rainbow Babies & Children's Hospital, Case Western Reserve University School of Medicine
| | - Raanan Arens
- Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine
| | - Eliot S Katz
- Division of Respiratory Diseases, Boston Children's Hospital
| | - Dean W Beebe
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center
| | - Susan Redline
- Departments of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School
| | - Jerilynn Radcliffe
- Neurobehavioral and.,Children's Hospital of Philadelphia, University of Pennsylvania
| | - Carole L Marcus
- Sleep Center, Children's Hospital of Philadelphia, Philadelphia, PA.,Children's Hospital of Philadelphia, University of Pennsylvania
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22
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De A, Waltuch T, Gonik NJ, Nguyen-Famulare N, Muzumdar H, Bent JP, Isasi CR, Sin S, Arens R. Sleep and Breathing the First Night After Adenotonsillectomy in Obese Children With Obstructive Sleep Apnea. J Clin Sleep Med 2017; 13:805-811. [PMID: 28454600 DOI: 10.5664/jcsm.6620] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 03/30/2017] [Indexed: 12/26/2022]
Abstract
STUDY OBJECTIVES There are few studies measuring postoperative respiratory complications in obese children with obstructive sleep apnea (OSA) undergoing adenotonsillectomy (AT). These complications are further compounded by perioperative medications. Our objective was to study obese children with OSA for their respiratory characteristics and sleep architecture on the night of AT. METHODS This was a prospective study at a tertiary pediatric hospital between January 2009-February 2012. Twenty obese children between 8-17 years of age with OSA and adenotonsillar hypertrophy were recruited. Patients underwent baseline polysomnography (PSG) and AT with or without additional debulking procedures, followed by a second PSG on the night of surgery. Demographic and clinical variables, surgical details, perioperative anesthetics and analgesics, and PSG respiratory and sleep architecture parameters were recorded. Statistical tests included Pearson correlation coefficient for correlation between continuous variables and chi-square and Wilcoxon rank-sum tests for differences between groups. RESULTS Baseline PSG showed OSA with mean obstructive apnea-hypopnea index (oAHI) 27.1 ± 22.9, SpO2 nadir 80.1 ± 7.9%, and sleep fragmentation-arousal index 25.5 ± 22.0. Postoperatively, 85% of patients had abnormal sleep studies similar to baseline, with postoperative oAHI 27.0 ± 34.3 (P = .204), SpO2 nadir, 82.0 ± 8.7% (P = .462), and arousal index, 24.3 ± 24.0 (P = .295). Sleep architecture was abnormal after surgery, showing a significant decrease in REM sleep (P = .003), and a corresponding increase in N2 (P = .017). CONCLUSIONS Obese children undergoing AT for OSA are at increased risk for residual OSA on the night of surgery. Special considerations should be taken for postoperative monitoring and treatment of these children. COMMENTARY A commentary on this article appears in this issue on page 775.
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Affiliation(s)
- Aliva De
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Temima Waltuch
- Department of Pediatrics, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Nathan J Gonik
- Department of Otolaryngology-Head and Neck Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York.,CS Mott Children's Hospital, University of Michigan, Anne Arbor, Michigan
| | - Ngoc Nguyen-Famulare
- Department of Anesthesiology, Montefiore Medical Center, Bronx, New York.,Department of Anesthesiology, Winthrop-University Hospital, Mineola, New York
| | - Hiren Muzumdar
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York.,Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - John P Bent
- Department of Otolaryngology-Head and Neck Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
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23
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Cade BE, Chen H, Stilp AM, Gleason KJ, Sofer T, Ancoli-Israel S, Arens R, Bell GI, Below JE, Bjonnes AC, Chun S, Conomos MP, Evans DS, Johnson WC, Frazier-Wood AC, Lane JM, Larkin EK, Loredo JS, Post WS, Ramos AR, Rice K, Rotter JI, Shah NA, Stone KL, Taylor KD, Thornton TA, Tranah GJ, Wang C, Zee PC, Hanis CL, Sunyaev SR, Patel SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S. Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans. Am J Respir Crit Care Med 2016; 194:886-897. [PMID: 26977737 PMCID: PMC5074655 DOI: 10.1164/rccm.201512-2431oc] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 03/14/2016] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Obstructive sleep apnea is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. Although there is strong clinical and epidemiologic evidence supporting the importance of genetic factors in influencing obstructive sleep apnea, its genetic basis is still largely unknown. Prior genetic studies focused on traits defined using the apnea-hypopnea index, which contains limited information on potentially important genetically determined physiologic factors, such as propensity for hypoxemia and respiratory arousability. OBJECTIVES To define novel obstructive sleep apnea genetic risk loci for obstructive sleep apnea, we conducted genome-wide association studies of quantitative traits in Hispanic/Latino Americans from three cohorts. METHODS Genome-wide data from as many as 12,558 participants in the Hispanic Community Health Study/Study of Latinos, Multi-Ethnic Study of Atherosclerosis, and Starr County Health Studies population-based cohorts were metaanalyzed for association with the apnea-hypopnea index, average oxygen saturation during sleep, and average respiratory event duration. MEASUREMENTS AND MAIN RESULTS Two novel loci were identified at genome-level significance (rs11691765, GPR83, P = 1.90 × 10-8 for the apnea-hypopnea index, and rs35424364; C6ORF183/CCDC162P, P = 4.88 × 10-8 for respiratory event duration) and seven additional loci were identified with suggestive significance (P < 5 × 10-7). Secondary sex-stratified analyses also identified one significant and several suggestive associations. Multiple loci overlapped genes with biologic plausibility. CONCLUSIONS These are the first genome-level significant findings reported for obstructive sleep apnea-related physiologic traits in any population. These findings identify novel associations in inflammatory, hypoxia signaling, and sleep pathways.
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Affiliation(s)
- Brian E. Cade
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
| | - Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, Washington
| | | | - Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Sonia Ancoli-Israel
- Department of Medicine and
- Department of Psychiatry, University of California, San Diego, California
- Department of Veterans Affairs San Diego Center of Excellence for Stress and Mental Health, San Diego, California
| | - Raanan Arens
- The Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Graeme I. Bell
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, The University of Chicago, Chicago, Illinois
| | - Jennifer E. Below
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Andrew C. Bjonnes
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Sung Chun
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | | | - Jacqueline M. Lane
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Emma K. Larkin
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, California
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Neomi A. Shah
- Department of Medicine, Montefiore Medical Center, Bronx, New York
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | | | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Chaolong Wang
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Genome Institute of Singapore, Singapore
| | - Phyllis C. Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, Illinois
| | - Craig L. Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Shamil R. Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Sanjay R. Patel
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Richa Saxena
- Division of Sleep and Circadian Disorders and
- Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and
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Sterni LM, Collaco JM, Baker CD, Carroll JL, Sharma GD, Brozek JL, Finder JD, Ackerman VL, Arens R, Boroughs DS, Carter J, Daigle KL, Dougherty J, Gozal D, Kevill K, Kravitz RM, Kriseman T, MacLusky I, Rivera-Spoljaric K, Tori AJ, Ferkol T, Halbower AC. An Official American Thoracic Society Clinical Practice Guideline: Pediatric Chronic Home Invasive Ventilation. Am J Respir Crit Care Med 2016; 193:e16-35. [PMID: 27082538 DOI: 10.1164/rccm.201602-0276st] [Citation(s) in RCA: 136] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Children with chronic invasive ventilator dependence living at home are a diverse group of children with special health care needs. Medical oversight, equipment management, and community resources vary widely. There are no clinical practice guidelines available to health care professionals for the safe hospital discharge and home management of these complex children. PURPOSE To develop evidence-based clinical practice guidelines for the hospital discharge and home/community management of children requiring chronic invasive ventilation. METHODS The Pediatric Assembly of the American Thoracic Society assembled an interdisciplinary workgroup with expertise in the care of children requiring chronic invasive ventilation. The experts developed four questions of clinical importance and used an evidence-based strategy to identify relevant medical evidence. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology was used to formulate and grade recommendations. RESULTS Clinical practice recommendations for the management of children with chronic ventilator dependence at home are provided, and the evidence supporting each recommendation is discussed. CONCLUSIONS Collaborative generalist and subspecialist comanagement is the Medical Home model most likely to be successful for the care of children requiring chronic invasive ventilation. Standardized hospital discharge criteria are suggested. An awake, trained caregiver should be present at all times, and at least two family caregivers should be trained specifically for the child's care. Standardized equipment for monitoring, emergency preparedness, and airway clearance are outlined. The recommendations presented are based on the current evidence and expert opinion and will require an update as new evidence and/or technologies become available.
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25
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Tong Y, Udupa JK, Sin S, Liu Z, Wileyto EP, Torigian DA, Arens R. MR Image Analytics to Characterize the Upper Airway Structure in Obese Children with Obstructive Sleep Apnea Syndrome. PLoS One 2016; 11:e0159327. [PMID: 27487240 PMCID: PMC4972248 DOI: 10.1371/journal.pone.0159327] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 06/30/2016] [Indexed: 01/05/2023] Open
Abstract
Purpose Quantitative image analysis in previous research in obstructive sleep apnea syndrome (OSAS) has focused on the upper airway or several objects in its immediate vicinity and measures of object size. In this paper, we take a more general approach of considering all major objects in the upper airway region and measures pertaining to their individual morphological properties, their tissue characteristics revealed by image intensities, and the 3D architecture of the object assembly. We propose a novel methodology to select a small set of salient features from this large collection of measures and demonstrate the ability of these features to discriminate with very high prediction accuracy between obese OSAS and obese non-OSAS groups. Materials and Methods Thirty children were involved in this study with 15 in the obese OSAS group with an apnea-hypopnea index (AHI) = 14.4 ± 10.7) and 15 in the obese non-OSAS group with an AHI = 1.0 ± 1.0 (p<0.001). Subjects were between 8–17 years and underwent T1- and T2-weighted magnetic resonance imaging (MRI) of the upper airway during wakefulness. Fourteen objects in the vicinity of the upper airways were segmented in these images and a total of 159 measurements were derived from each subject image which included object size, surface area, volume, sphericity, standardized T2-weighted image intensity value, and inter-object distances. A small set of discriminating features was identified from this set in several steps. First, a subset of measures that have a low level of correlation among the measures was determined. A heat map visualization technique that allows grouping of parameters based on correlations among them was used for this purpose. Then, through T-tests, another subset of measures which are capable of separating the two groups was identified. The intersection of these subsets yielded the final feature set. The accuracy of these features to perform classification of unseen images into the two patient groups was tested by using logistic regression and multi-fold cross validation. Results A set of 16 features identified with low inter-feature correlation (< 0.36) yielded a high classification accuracy of 96% with sensitivity and specificity of 97.8% and 94.4%, respectively. In addition to the previously observed increase in linear size, surface area, and volume of adenoid, tonsils, and fat pad in OSAS, the following new markers have been found. Standardized T2-weighted image intensities differed between the two groups for the entire neck body region, pharynx, and nasopharynx, possibly indicating changes in object tissue characteristics. Fat pad and oropharynx become less round or more complex in shape in OSAS. Fat pad and tongue move closer in OSAS, and so also oropharynx and tonsils and fat pad and tonsils. In contrast, fat pad and oropharynx move farther apart from the skin object. Conclusions The study has found several new anatomic bio-markers of OSAS. Changes in standardized T2-weighted image intensities in objects may imply that intrinsic tissue composition undergoes changes in OSAS. The results on inter-object distances imply that treatment methods should respect the relationships that exist among objects and not just their size. The proposed method of analysis may lead to an improved understanding of the mechanisms underlying OSAS.
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Affiliation(s)
- Yubing Tong
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jayaram K. Udupa
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- * E-mail:
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore, Bronx, New York, United States of America
| | - Zhengbing Liu
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - E. Paul Wileyto
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Drew A. Torigian
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore, Bronx, New York, United States of America
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26
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Taylor HG, Bowen SR, Beebe DW, Hodges E, Amin R, Arens R, Chervin RD, Garetz SL, Katz ES, Moore RH, Morales KH, Muzumdar H, Paruthi S, Rosen CL, Sadhwani A, Thomas NH, Ware J, Marcus CL, Ellenberg SS, Redline S, Giordani B. Cognitive Effects of Adenotonsillectomy for Obstructive Sleep Apnea. Pediatrics 2016; 138:peds.2015-4458. [PMID: 27464674 PMCID: PMC4960728 DOI: 10.1542/peds.2015-4458] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/24/2016] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE Research reveals mixed evidence for the effects of adenotonsillectomy (AT) on cognitive tests in children with obstructive sleep apnea syndrome (OSAS). The primary aim of the study was to investigate effects of AT on cognitive test scores in the randomized Childhood Adenotonsillectomy Trial. METHODS Children ages 5 to 9 years with OSAS without prolonged oxyhemoglobin desaturation were randomly assigned to watchful waiting with supportive care (n = 227) or early AT (eAT, n = 226). Neuropsychological tests were administered before the intervention and 7 months after the intervention. Mixed model analysis compared the groups on changes in test scores across follow-up, and regression analysis examined associations of these changes in the eAT group with changes in sleep measures. RESULTS Mean test scores were within the average range for both groups. Scores improved significantly (P < .05) more across follow-up for the eAT group than for the watchful waiting group. These differences were found only on measures of nonverbal reasoning, fine motor skills, and selective attention and had small effects sizes (Cohen's d, 0.20-0.24). As additional evidence for AT-related effects on scores, gains in test scores for the eAT group were associated with improvements in sleep measures. CONCLUSIONS Small and selective effects of AT were observed on cognitive tests in children with OSAS without prolonged desaturation. Relative to evidence from Childhood Adenotonsillectomy Trial for larger effects of surgery on sleep, behavior, and quality of life, AT may have limited benefits in reversing any cognitive effects of OSAS, or these benefits may require more extended follow-up to become manifest.
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Affiliation(s)
- H. Gerry Taylor
- Department of Pediatrics, Rainbow Babies & Children’s Hospital, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Susan R. Bowen
- Department of Pediatrics, Rainbow Babies & Children’s Hospital, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Dean W. Beebe
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | | | - Raouf Amin
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Raanan Arens
- Department of Pediatrics, Children’s Hospital at Montefiore and Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Ronald D. Chervin
- Neurology and Sleep Disorders Center, University of Michigan, Ann Arbor, Michigan
| | - Susan L. Garetz
- Department of Otolaryngology–Head and Neck Surgery and Sleep Disorders Center, University of Michigan Health Center, Ann Arbor, Michigan
| | - Eliot S. Katz
- Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Reneé H. Moore
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Knashawn H. Morales
- Department of Biostatistics and Epidemiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hiren Muzumdar
- Department of Pediatrics, Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Shalini Paruthi
- Department of Pediatrics, Cardinal Glennon Children’s Medical Center, Saint Louis University, St Louis, Missouri
| | - Carol L. Rosen
- Department of Pediatrics, Rainbow Babies & Children’s Hospital, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Anjali Sadhwani
- Boston Children’s Hospital/Harvard Medical School, Boston, Massachusetts
| | - Nina Hattiangadi Thomas
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Neuropsychology and Assessment Group, and
| | - Janice Ware
- Boston Children’s Hospital/Harvard Medical School, Boston, Massachusetts
| | - Carole L. Marcus
- Department of Pediatrics, Sleep Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania; and
| | - Susan S. Ellenberg
- Department of Biostatistics and Epidemiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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27
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Wootton DM, Sin S, Luo H, Yazdani A, McDonough JM, Wagshul ME, Isasi CR, Arens R. Computational fluid dynamics upper airway effective compliance, critical closing pressure, and obstructive sleep apnea severity in obese adolescent girls. J Appl Physiol (1985) 2016; 121:925-931. [PMID: 27445297 DOI: 10.1152/japplphysiol.00190.2016] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 07/18/2016] [Indexed: 11/22/2022] Open
Abstract
Obstructive sleep apnea syndrome (OSAS) is associated with anatomical abnormalities restricting upper airway size and functional factors decreasing pharyngeal dilator activity in sleep. In this study we hypothesized that OSAS is also associated with altered pharyngeal mechanical compliance during wakefulness. Five OSAS and six control obese girls between 14 and 18 years of age were studied. All underwent polysomnography, critical closing pressure (Pcrit) studies, and dynamic MRI of the upper airway during awake tidal breathing. Effective airway compliance was defined as the slope of cross-sectional area vs. average pressure between maximum inspiration and maximum expiration along the pharyngeal airway. Pharyngeal pressure fields were calculated by using image-based computational fluid dynamics and nasal resistance. Spearman correlations were calculated to test associations between apnea-hypopnea index (AHI), Pcrit, and airway compliance. Effective compliances in the nasopharynx (CNP) and velopharynx (CVP) were lower and negative in OSAS compared with controls: -4.4 vs. 1.9 (mm2/cmH2O, P = 0.012) and -2.1 vs. 3.9 (mm2/cmH2O, P = 0.021), respectively, suggesting a strong phasic pharyngeal dilator activity during inspiration in OSAS compared with controls. For all subjects, CNP and AHI correlated negatively (rS = -0.69, P = 0.02), and passive Pcrit correlated with CNP (rS = -0.76, P = 0.006) and with AHI (rS = 0.86, P = 0.0006). Pharyngeal mechanics obtained during wakefulness could be used to characterize subjects with OSAS. Moreover, negative effective compliance during wakefulness and its correlation to AHI and Pcrit suggest that phasic dilator activity of the upper pharynx compensates for negative pressure loads in these subjects.
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Affiliation(s)
- David M Wootton
- Department of Mechanical Engineering, The Cooper Union for the Advancement of Science and Art, New York, New York;
| | - Sanghun Sin
- Children's Hospital at Montefiore, New York, New York
| | - Haiyan Luo
- Department of Mechanical Engineering, The Cooper Union for the Advancement of Science and Art, New York, New York
| | - Alireza Yazdani
- Department of Mechanical Engineering, The Cooper Union for the Advancement of Science and Art, New York, New York
| | | | | | | | - Raanan Arens
- Children's Hospital at Montefiore, New York, New York; Albert Einstein College of Medicine, New York, New York
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28
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Mukhatiyar P, Nandalike K, Cohen HW, Sin S, Gangar M, Bent JP, Arens R. Intracapsular and Extracapsular Tonsillectomy and Adenoidectomy in Pediatric Obstructive Sleep Apnea. JAMA Otolaryngol Head Neck Surg 2016; 142:25-31. [PMID: 26583828 DOI: 10.1001/jamaoto.2015.2603] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Limited information exists regarding clinical outcomes of children undergoing extracapsular tonsillectomy and adenoidectomy (ETA) or intracapsular tonsillectomy and adenoidectomy (ITA) for treatment of obstructive sleep apnea syndrome (OSAS). OBJECTIVES To quantify polysomnography (PSG) and clinical outcomes of ETA and ITA in children with OSAS and to assess the contribution of comorbid conditions of asthma and obesity. DESIGN, SETTING, AND PARTICIPANTS Retrospective cohort study using medical records at a tertiary pediatrics inner-city hospital. Medical records from 89 children who underwent ETA or ITA between October 1, 2008, and December 31, 2013, were analyzed. The dates of our analysis were January 6, 2014, to April 11, 2014. Inclusion criteria required no evidence of craniofacial or neurological disorders, confirmation of OSAS by PSG within the 2 years before surgery, and a second PSG within the 2 years after surgery. INTERVENTIONS Each child underwent ETA or ITA after being evaluated by a pediatric otolaryngologist and obtaining written parental informed consent. MAIN OUTCOMES AND MEASURES Main primary outcomes were derived from PSG. Secondary outcomes included treatment failure, defined as residual OSAS with an obstructive apnea-hypopnea index of at least 5 events per hour. Comparisons were made between and within groups. Logistic regression was used to identify factors associated with treatment failure. RESULTS Fifty-two children underwent ETA, and 37 children underwent ITA. Children in the ETA group were older (7.5 vs 5.2 years, P = .001) and more obese (60% [31 of 52] vs 30% [11 of 37], P = .004). However, both groups had similar severity of OSAS, with median preoperative obstructive apnea-hypopnea indexes of 17.0 in the ETA group and 24.1 in the ITA group (P = .21), and similar prevalences of asthma (38% [20 of 52] vs 38% [14 of 37]). After surgery, significant improvement was noted on PSG in both groups, with no differences in any clinical outcomes. There was no association between procedure type, age, or body mass index z score and treatment failure. However, in a subset of patients with asthma and obesity, ITA was associated with residual OSAS (odds ratio, 16.5; 95% CI, 1.1-250.2; P = .04). CONCLUSIONS AND RELEVANCE Both ETA and ITA are effective modalities to treat OSAS, with comparable surgical outcomes on short-term follow-up. However, when comorbid diagnoses of both asthma and obesity exist, OSAS is likely to be refractory to treatment with ITA compared with ETA.
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Affiliation(s)
- Pamela Mukhatiyar
- Division of Pediatric Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Kiran Nandalike
- Department of Pediatric Pulmonology, UC Davis Children's Hospital, Sacramento, California
| | - Hillel W Cohen
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Sanghun Sin
- Division of Pediatric Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Mona Gangar
- Department of Otolaryngology-Head and Neck Surgery, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - John P Bent
- Department of Otolaryngology-Head and Neck Surgery, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Raanan Arens
- Division of Pediatric Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
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29
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Tong Y, Udupa JK, Odhner D, Wu C, Sin S, Wagshul ME, Arens R. Minimally interactive segmentation of 4D dynamic upper airway MR images via fuzzy connectedness. Med Phys 2016; 43:2323. [PMID: 27147344 DOI: 10.1118/1.4945698] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
PURPOSE There are several disease conditions that lead to upper airway restrictive disorders. In the study of these conditions, it is important to take into account the dynamic nature of the upper airway. Currently, dynamic magnetic resonance imaging is the modality of choice for studying these diseases. Unfortunately, the contrast resolution obtainable in the images poses many challenges for an effective segmentation of the upper airway structures. No viable methods have been developed to date to solve this problem. In this paper, the authors demonstrate a practical solution by employing an iterative relative fuzzy connectedness delineation algorithm as a tool. METHODS 3D dynamic images were collected at ten equally spaced instances over the respiratory cycle (i.e., 4D) in 20 female subjects with obstructive sleep apnea syndrome. The proposed segmentation approach consists of the following steps. First, image background nonuniformities are corrected which is then followed by a process to correct for the nonstandardness of MR image intensities. Next, standardized image intensity statistics are gathered for the nasopharynx and oropharynx portions of the upper airway as well as the surrounding soft tissue structures including air outside the body region, hard palate, soft palate, tongue, and other soft structures around the airway including tonsils (left and right) and adenoid. The affinity functions needed for fuzzy connectedness computation are derived based on these tissue intensity statistics. In the next step, seeds for fuzzy connectedness computation are specified for the airway and the background tissue components. Seed specification is needed in only the 3D image corresponding to the first time instance of the 4D volume; from this information, the 3D volume corresponding to the first time point is segmented. Seeds are automatically generated for the next time point from the segmentation of the 3D volume corresponding to the previous time point, and the process continues and runs without human interaction and completes in 10 s for segmenting the airway structure in the whole 4D volume. RESULTS Qualitative evaluations performed to examine smoothness and continuity of motions of the entire upper airway as well as its transverse sections at critical anatomic locations indicate that the segmentations are consistent. Quantitative evaluations of the separate 200 3D volumes and the 20 4D volumes yielded true positive and false positive volume fractions around 95% and 0.1%, respectively, and mean boundary placement errors under 0.5 mm. The method is robust to variations in the subjective action of seed specification. Compared with a segmentation approach based on a registration technique to propagate segmentations, the proposed method is more efficient, accurate, and less prone to error propagation from one respiratory time point to the next. CONCLUSIONS The proposed method is the first demonstration of a viable and practical approach for segmenting the upper airway structures in dynamic MR images. Compared to registration-based methods, it effectively reduces error propagation and consequently achieves not only more accurate segmentations but also more consistent motion representation in the segmentations. The method is practical, requiring minimal user interaction and computational time.
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Affiliation(s)
- Yubing Tong
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Jayaram K Udupa
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Dewey Odhner
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Caiyun Wu
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York 10467
| | - Mark E Wagshul
- Department of Radiology, Gruss MRRC, Albert Einstein College of Medicine, Bronx, New York 10467
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York 10467
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Meyer ML, Gotman NM, Soliman EZ, Whitsel EA, Arens R, Cai J, Daviglus ML, Denes P, González HM, Moreiras J, Talavera GA, Heiss G. Association of glucose homeostasis measures with heart rate variability among Hispanic/Latino adults without diabetes: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Cardiovasc Diabetol 2016; 15:45. [PMID: 26983644 PMCID: PMC4793505 DOI: 10.1186/s12933-016-0364-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 03/09/2016] [Indexed: 12/28/2022] Open
Abstract
Background Reduced heart rate variability (HRV), a measure of cardiac autonomic function, is associated with an increased risk of cardiovascular disease (CVD) and mortality. Glucose homeostasis measures are associated with reduced cardiac autonomic function among those with diabetes, but inconsistent associations have been reported among those without diabetes. This study aimed to examine the association of glucose homeostasis measures with cardiac autonomic function among diverse Hispanic/Latino adults without diabetes. Methods The Hispanic community Health Study/Study of Latinos (HCHS/SOL; 2008–2011) used two-stage area probability sampling of households to enroll 16,415 self-identified Hispanics/Latinos aged 18–74 years from four USA communities. Resting, standard 12-lead electrocardiogram recordings were used to estimate the following ultrashort-term measures of HRV: RR interval (RR), standard deviation of all normal to normal RR (SDNN) and root mean square of successive differences in RR intervals (RMSSD). Multivariable regression analysis was used to estimate associations between glucose homeostasis measures with HRV using data from 11,994 adults without diabetes (mean age 39 years; 52 % women). Results Higher fasting glucose was associated with lower RR, SDNN, and RMSSD. Fasting insulin and the homeostasis model assessment of insulin resistance was negatively associated with RR, SDNN, and RMSSD, and the association was stronger among men compared with women. RMSSD was, on average, 26 % lower in men with higher fasting insulin and 29 % lower in men with lower insulin resistance; for women, the corresponding estimates were smaller at 4 and 9 %, respectively. Higher glycated hemoglobin was associated with lower RR, SDNN, and RMSSD in those with abdominal adiposity, defined by sex-specific cut-points for waist circumference, after adjusting for demographics and medication use. There were no associations between glycated hemoglobin and HRV measures among those without abdominal adiposity. Conclusions Impairment in glucose homeostasis was associated with lower HRV in Hispanic/Latino adults without diabetes, most prominently in men and individuals with abdominal adiposity. These results suggest that reduced cardiac autonomic function is associated with metabolic impairments before onset of overt diabetes in certain subgroups, offering clues for the pathophysiologic processes involved as well as opportunity for identification of those at high risk before autonomic control is manifestly impaired.
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Affiliation(s)
- Michelle L Meyer
- University of North Carolina at Chapel Hill, 137 E. Franklin St, Suite 306, Chapel Hill, NC, 27514, USA.
| | - Nathan M Gotman
- University of North Carolina at Chapel Hill, 137 E. Franklin St, Suite 306, Chapel Hill, NC, 27514, USA
| | | | - Eric A Whitsel
- University of North Carolina at Chapel Hill, 137 E. Franklin St, Suite 306, Chapel Hill, NC, 27514, USA
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jianwen Cai
- University of North Carolina at Chapel Hill, 137 E. Franklin St, Suite 306, Chapel Hill, NC, 27514, USA
| | - Martha L Daviglus
- University of Illinois at Chicago College of Medicine, Chicago, IL, USA
| | | | | | | | | | - Gerardo Heiss
- University of North Carolina at Chapel Hill, 137 E. Franklin St, Suite 306, Chapel Hill, NC, 27514, USA
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Chervin RD, Ellenberg SS, Hou X, Marcus CL, Garetz SL, Katz ES, Hodges EK, Mitchell RB, Jones DT, Arens R, Amin R, Redline S, Rosen CL. Prognosis for Spontaneous Resolution of OSA in Children. Chest 2016; 148:1204-1213. [PMID: 25811889 DOI: 10.1378/chest.14-2873] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Adenotonsillectomy (AT) is commonly performed for childhood OSA syndrome (OSAS), but little is known about prognosis without treatment. METHODS The Childhood Adenotonsillectomy Trial (CHAT) randomized 50% of eligible children with OSAS to a control arm (watchful waiting), with 7-month follow-up symptom inventories, physical examinations, and polysomnography. Polysomnographic and symptomatic resolution were defined respectively by an apnea/hypopnea index (AHI) <2 and obstructive apnea index (OAI) <1 and by an OSAS symptom score (Pediatric Sleep Questionnaire [PSQ]) < 0.33 with ≥ 25% improvement from baseline. RESULTS After 194 children aged 5 to 9 years underwent 7 months of watchful waiting, 82 (42%) no longer met polysomnographic criteria for OSAS. Baseline predictors of resolution included lower AHI, better oxygen saturation, smaller waist circumference or percentile, higher-positioned soft palate, smaller neck circumference, and non-black race (each P < .05). Among these, the independent predictors were lower AHI and waist circumference percentile < 90%. Among 167 children with baseline PSQ scores ≥ 0.33, only 25 (15%) experienced symptomatic resolution. Baseline predictors were low PSQ and PSQ snoring subscale scores; absence of habitual snoring, loud snoring, observed apneas, or a household smoker; higher quality of life; fewer attention-deficit/hyperactivity disorder symptoms; and female sex. Only lower PSQ and snoring scores were independent predictors. CONCLUSIONS Many candidates for AT no longer have OSAS on polysomnography after 7 months of watchful waiting, whereas meaningful improvement in symptoms is not common. In practice, a baseline low AHI and normal waist circumference, or low PSQ and snoring score, may help identify an opportunity to avoid AT. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT00560859; URL: www.clinicaltrials.gov.
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Affiliation(s)
- Ronald D Chervin
- Department of Neurology and Sleep Disorders Center, University of Michigan, Ann Arbor, MI.
| | - Susan S Ellenberg
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Xiaoling Hou
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Carole L Marcus
- Department of Pediatrics, Sleep Center, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA
| | - Susan L Garetz
- Department of Otolaryngology/Head and Neck Surgery and Sleep Disorders Center, University of Michigan, Ann Arbor, MI
| | - Eliot S Katz
- Division of Respiratory Diseases, Boston Children's Hospital, Boston, MA
| | - Elise K Hodges
- Division of Neuropsychology, Department of Psychiatry, University of Michigan, Ann Arbor, MI
| | - Ron B Mitchell
- Department of Otolaryngology and Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX
| | - Dwight T Jones
- Department of Otolaryngology/Head & Neck Surgery, University of Nebraska College of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx NY
| | - Raouf Amin
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Carol L Rosen
- Department of Pediatrics, Rainbow Babies & Children's Hospital, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
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Nandalike K, Arens R. Ventilator Support in Children with Obstructive Sleep Apnea Syndrome. Respir Med 2016. [DOI: 10.1007/978-1-4939-3749-3_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Kenigsberg LE, Agarwal C, Sin S, Shifteh K, Isasi CR, Crespi R, Ivanova J, Coupey SM, Heptulla RA, Arens R. Clinical utility of magnetic resonance imaging and ultrasonography for diagnosis of polycystic ovary syndrome in adolescent girls. Fertil Steril 2015; 104:1302-9.e1-4. [PMID: 26354095 DOI: 10.1016/j.fertnstert.2015.08.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 07/31/2015] [Accepted: 08/01/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To evaluate ovarian morphology using three-dimensional magnetic resonance imaging (MRI) in adolescent girls with and without polycystic ovary syndrome (PCOS). Also compare the utility of MRI versus ultrasonography (US) for diagnosis of PCOS. DESIGN Cross-sectional study. SETTING Urban academic tertiary-care children's hospital. PATIENT(S) Thirty-nine adolescent girls with untreated PCOS and 22 age/body mass index (BMI)-matched controls. INTERVENTION(S) Magnetic resonance imaging and/or transvaginal/transabdominal US. MAIN OUTCOME MEASURE(S) Ovarian volume (OV); follicle number per section (FNPS); correlation between OV on MRI and US; proportion of subjects with features of polycystic ovaries (PCOs) on MRI and US. RESULT(S) Magnetic resonance imaging demonstrated larger OV and higher FNPS in subjects with PCOS compared with controls. Within the PCOS group, median OV was 11.9 (7.7) cm(3) by MRI compared with 8.8 (7.8) cm(3) by US. Correlation coefficient between OV by MRI and US was 0.701. Due to poor resolution, FNPS could not be determined by US or compared with MRI. The receiver operating characteristic curve analysis for MRI demonstrated that increasing volume cutoffs for PCOs from 10-14 cm(3) increased specificity from 77%-95%. For FNPS on MRI, specificity increased from 82%-98% by increasing cutoffs from ≥ 12 to ≥ 17. Using Rotterdam cutoffs, 91% of subjects with PCOS met PCO criteria on MRI, whereas only 52% met criteria by US. CONCLUSION(S) Ultrasonography measures smaller OV than MRI, cannot accurately detect follicle number, and is a poor imaging modality for characterizing PCOs in adolescents with suspected PCOS. For adolescents in whom diagnosis of PCOS remains uncertain after clinical and laboratory evaluation, MRI should be considered as a diagnostic imaging modality.
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Affiliation(s)
- Lisa E Kenigsberg
- Division of Pediatric Endocrinology, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Chhavi Agarwal
- Division of Pediatric Endocrinology, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Keivan Shifteh
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Rebecca Crespi
- Division of Pediatric Endocrinology, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Janeta Ivanova
- Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Susan M Coupey
- Division of Adolescent Medicine, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Rubina A Heptulla
- Division of Pediatric Endocrinology, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York.
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Quante M, Wang R, Weng J, Rosen CL, Amin R, Garetz SL, Katz E, Paruthi S, Arens R, Muzumdar H, Marcus CL, Ellenberg S, Redline S. The Effect of Adenotonsillectomy for Childhood Sleep Apnea on Cardiometabolic Measures. Sleep 2015; 38:1395-403. [PMID: 25669177 DOI: 10.5665/sleep.4976] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Accepted: 12/08/2014] [Indexed: 02/01/2023] Open
Abstract
STUDY OBJECTIVES Obstructive sleep apnea syndrome (OSAS) has been associated with cardiometabolic disease in adults. In children, this association is unclear. We evaluated the effect of early adenotonsillectomy (eAT) for treatment of OSAS on blood pressure, heart rate, lipids, glucose, insulin, and C-reactive protein. We also analyzed whether these parameters at baseline and changes at follow-up correlated with polysomnographic indices. DESIGN Data collected at baseline and 7-mo follow-up were analyzed from a randomized controlled trial, the Childhood Adenotonsillectomy Trial (CHAT). SETTING Clinical referral setting from multiple centers. PARTICIPANTS There were 464 children, ages 5 to 9.9 y with OSAS without severe hypoxemia. INTERVENTIONS Randomization to eAT or Watchful Waiting with Supportive Care (WWSC). MEASUREMENTS AND RESULTS There was no significant change of cardiometabolic parameters over the 7-mo interval in the eAT group compared to WWSC group. However, overnight heart rate was incrementally higher in association with baseline OSAS severity (average heart rate increase of 3 beats per minute [bpm] for apnea-hypopnea index [AHI] of 2 versus 10; [standard error = 0.60]). Each 5-unit improvement in AHI and 5 mmHg improvement in peak end-tidal CO2 were estimated to reduce heart rate by 1 and 1.5 bpm, respectively. An increase in N3 sleep also was associated with small reductions in systolic blood pressure percentile. CONCLUSIONS There is little variation in standard cardiometabolic parameters in children with obstructive sleep apnea syndrome (OSAS) but without severe hypoxemia at baseline or after intervention. Of all measures, overnight heart rate emerged as the most sensitive parameter of pediatric OSAS severity. CLINICAL TRIAL REGISTRATION Clinicaltrials.gov (#NCT00560859).
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Affiliation(s)
- Mirja Quante
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Rui Wang
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Jia Weng
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women's Hospital, Boston, MA
| | - Carol L Rosen
- Department of Pediatrics, Rainbow Babies and Children's Hospital, University Hospitals-Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Raouf Amin
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Susan L Garetz
- Department of Otolaryngology, Head and Neck Surgery and Sleep Disorders Center, University of Michigan Medical Center, Ann Arbor, MI
| | - Eliot Katz
- Harvard Medical School, Boston, MA.,Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | - Shalini Paruthi
- Department of Pediatrics, Cardinal Glennon Children's Hospital, Saint Louis University, St Louis, MO
| | - Raanan Arens
- Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY
| | - Hiren Muzumdar
- Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY
| | - Carole L Marcus
- Sleep Center, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA
| | - Susan Ellenberg
- Department of Biostatistics, University of Pennsylvania, Philadelphia, PA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA.,Beth Israel Deaconess Medical Center, Boston, MA
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Mossavar-Rahmani Y, Jung M, Patel SR, Sotres-Alvarez D, Arens R, Ramos A, Redline S, Rock CL, Van Horn L. Eating behavior by sleep duration in the Hispanic Community Health Study/Study of Latinos. Appetite 2015; 95:275-84. [PMID: 26189885 DOI: 10.1016/j.appet.2015.07.014] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 06/08/2015] [Accepted: 07/14/2015] [Indexed: 02/03/2023]
Abstract
UNLABELLED Sleep is an important pillar of health and a modifiable risk factor for diabetes, stroke and obesity. Little is known of diet and sleep patterns of Hispanics/Latinos in the US. Here we examine eating behavior as a function of sleep duration in a sub-sample of 11,888 participants from the Hispanic Community Health Study/Study of Latinos, a community-based cohort study of Hispanics aged 18-74 years in four US cities. Using a cross-sectional probability sample with self-report data on habitual sleep duration and up to two 24-h dietary recalls, we quantified the Alternative Healthy Eating Index (AHEI-2010) score, a measure of diet quality, and intake of selected nutrients related to cardiovascular health. Linear regression models were fit to estimate least-square means of usual nutrient intake of saturated fats, potassium density, fiber, calcium, caffeine and the AHEI-2010 score by sleep duration adjusting for age, sex, Hispanic/Latino background, income, employment status, education, depressive symptomology, and years lived in the US. Distribution of calories over the day and association with sleep duration and BMI were also examined. Short sleepers (≤6 h) had significantly lower intake of potassium, fiber and calcium and long sleepers (≥9 h) had significantly lower intake of caffeine compared to others sleepers after adjusting for covariates. However no difference in the AHEI-2010 score was seen by sleep duration. Significantly more long sleepers, compared to intermediate and short sleepers, reported having ≥30% total daily calories before bedtime. Not consuming a snack or meal within 3 h before bedtime was associated with higher AHEI-2010 scores. These findings identify novel differences in dietary patterns by sleep duration in a Hispanic/Latino cohort in the U.S. CLINICALTRIALS. GOV IDENTIFIER NCT02060344.
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Affiliation(s)
- Yasmin Mossavar-Rahmani
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Block Bldg. 339, 1300 Morris Park Ave., Bronx, NY 10461, USA.
| | - Molly Jung
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Sanjay R Patel
- Department of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
| | - Raanan Arens
- Division of Respiratory & Sleep Medicine, Children's Hospital at Montefiore, Bronx, NY, USA.
| | - Alberto Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Susan Redline
- Department of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Cheryl L Rock
- Department of Family & Preventive Medicine, University of California, San Diego, La Jolla, CA, USA.
| | - Linda Van Horn
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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Davidson Ward SL, Amin R, Arens R, Davis S, Gutmark E, Superfine R, Wong B, Zdanski C, Khoo MCK. Pediatric sleep-related breathing disorders: advances in imaging and computational modeling. IEEE Pulse 2015; 5:33-9. [PMID: 25437473 DOI: 10.1109/mpul.2014.2339293] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We understand now that sleep of sufficient length and quality is required for good health. This is particularly true for infants and children, who have the added physiologic task of growth and development, as compared to their adult counterparts. Sleep-related breathing disorders (SRBDs) are common in childhood and if unrecognized and not treated can result in significant morbidity. For example, children with obstructive sleep apnea (OSA) can exhibit behavioral, mood, and learning difficulties. If left untreated, alterations in the function of the autonomic nervous system and a chronic inflammatory state result, contributing to the risk of heart disease, stroke, glucose intolerance, and hypertension in adulthood.
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Jansen D, el Bannoudi H, Arens R, Habets K, Hameetman M, Huizinga T, Stoop J, Toes R. THU0046 Abatacept Decreases Disease Activity in the Absence of CD4+ T-Cells in the Collagen Induced Arthritis Model. Ann Rheum Dis 2015. [DOI: 10.1136/annrheumdis-2015-eular.4012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Mitchell RB, Garetz S, Moore RH, Rosen CL, Marcus CL, Katz ES, Arens R, Chervin RD, Paruthi S, Amin R, Elden L, Ellenberg SS, Redline S. The use of clinical parameters to predict obstructive sleep apnea syndrome severity in children: the Childhood Adenotonsillectomy (CHAT) study randomized clinical trial. JAMA Otolaryngol Head Neck Surg 2015; 141:130-6. [PMID: 25474490 DOI: 10.1001/jamaoto.2014.3049] [Citation(s) in RCA: 89] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE It is important to distinguish children with different levels of severity of obstructive sleep apnea syndrome (OSAS) preoperatively using clinical parameters. This can identify children who most need polysomnography (PSG) prior to adenotonsillectomy (AT). OBJECTIVE To assess whether a combination of factors, including demographics, physical examination findings, and caregiver reports from questionnaires, can predict different levels of OSAS severity in children. DESIGN, SETTING, AND PARTICIPANTS Baseline data from 453 children from the Childhood Adenotonsillectomy (CHAT) study were analyzed. Children 5.0 to 9.9 years of age with PSG-diagnosed OSAS, who were considered candidates for AT, were included. INTERVENTIONS Polysomnography for diagnosis of OSAS. MAIN OUTCOMES AND MEASURES Linear or logistic regression models were fitted to identify which demographic, clinical, and caregiver reports were significantly associated with the apnea hypopnea index (AHI) and oxygen desaturation index (ODI). RESULTS Race (African American), obesity (body mass index z score > 2), and the Pediatric Sleep Questionnaire (PSQ) total score were associated with higher levels of AHI and ODI (P = .05). A multivariable model that included the most significant variables explained less than 3% of the variance in OSAS severity as measured by PSG outcomes. Tonsillar size and Friedman palate position were not associated with increased AHI or ODI. Models that tested for potential effect modification by race or obesity showed no evidence of interactions with any clinical measure, AHI, or ODI (P > .20 for all comparisons). CONCLUSIONS AND RELEVANCE This study of more than 450 children with OSAS identifies a number of clinical parameters that are associated with OSAS severity. However, information on demographics, physical findings, and questionnaire responses does not robustly discriminate different levels of OSAS severity. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00560859.
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Affiliation(s)
- Ron B Mitchell
- Department of Otolaryngology-Head and Neck Surgery, University of Texas Southwestern and Children's Medical Center, Dallas2Department of Pediatrics, University of Texas Southwestern and Children's Medical Center, Dallas
| | - Suzan Garetz
- Department of Otolaryngology-Head and Neck Surgery, Sleep Disorders Center, University of Michigan, Ann Arbor
| | - Reneé H Moore
- Department of Statistics, North Carolina State University, Raleigh
| | - Carol L Rosen
- Department of Pediatrics, Rainbow Babies and Children's Hospital, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Carole L Marcus
- Department of Pediatrics, Sleep Center, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia
| | - Eliot S Katz
- Division of Respiratory Diseases, Boston Children's Hospital, Boston, Massachusetts
| | - Raanan Arens
- Department of Pediatrics, Montefiore Medical Center, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York
| | - Ronald D Chervin
- Department of Neurology and Sleep Disorders Center, University of Michigan, Ann Arbor
| | - Shalini Paruthi
- Department of Pediatrics, Cardinal Glennon Children's Medical Center, Saint Louis University, St Louis, Missouri
| | - Raouf Amin
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Lisa Elden
- Department of Otolaryngology-Head and Neck Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Susan S Ellenberg
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts15Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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Rosen CL, Wang R, Taylor HG, Marcus CL, Katz ES, Paruthi S, Arens R, Muzumdar H, Garetz SL, Mitchell RB, Jones D, Weng J, Ellenberg S, Redline S, Chervin RD. Utility of symptoms to predict treatment outcomes in obstructive sleep apnea syndrome. Pediatrics 2015; 135:e662-71. [PMID: 25667240 PMCID: PMC4338327 DOI: 10.1542/peds.2014-3099] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Polysomnography defines the pathophysiology of obstructive sleep apnea syndrome (OSAS) but does not predict some important comorbidities or their response to adenotonsillectomy. We assessed whether OSAS symptoms, as reflected on the Sleep-Related Breathing Disorders Scale of the Pediatric Sleep Questionnaire (PSQ), may offer clinical predictive value. METHODS Baseline and 7-month follow-up data were analyzed from 185 participants (aged 5-9 years with polysomnographically confirmed OSAS) in the surgical treatment arm of the multicenter Childhood Adenotonsillectomy Trial. Associations were assessed between baseline PSQ or polysomnographic data and baseline morbidity (executive dysfunction, behavior, quality of life, sleepiness) or postsurgical improvement. RESULTS At baseline, each 1-SD increase in baseline PSQ score was associated with an adjusted odds ratio that was ∼3 to 4 times higher for behavioral morbidity, 2 times higher for reduced global quality of life, 6 times higher for reduced disease-specific quality of life, and 2 times higher for sleepiness. Higher baseline PSQ scores (greater symptom burden) also predicted postsurgical improvement in parent ratings of executive functioning, behavior, quality of life, and sleepiness. In contrast, baseline polysomnographic data did not independently predict these morbidities or their postsurgical improvement. Neither PSQ nor polysomnographic data were associated with objectively assessed executive dysfunction or improvement at follow-up. CONCLUSIONS PSQ symptom items, in contrast to polysomnographic results, reflect subjective measures of OSAS-related impairment of behavior, quality of life, and sleepiness and predict their improvement after adenotonsillectomy. Although objective polysomnography is needed to diagnose OSAS, the symptoms obtained during an office visit can offer adjunctive insight into important comorbidities and likely surgical responses.
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Affiliation(s)
- Carol L. Rosen
- Department of Pediatrics, Rainbow Babies & Children’s Hospital, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Rui Wang
- Department of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - H. Gerry Taylor
- Department of Pediatrics, Rainbow Babies & Children’s Hospital, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Carole L. Marcus
- Department of Pediatrics, Sleep Center, Children’s Hospital of Philadelphia, and
| | - Eliot S. Katz
- Division of Respiratory Diseases, Boston Children’s Hospital, Boston, Massachusetts
| | - Shalini Paruthi
- Department of Pediatrics, Cardinal Glennon Children’s Medical Center, Saint Louis University, St Louis, Missouri
| | - Raanan Arens
- Department of Pediatrics, Children’s Hospital at Montefiore and Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Hiren Muzumdar
- Department of Pediatrics, Pittsburgh Children’s Hospital, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Ron B. Mitchell
- Departments of Otolaryngology and Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas; and
| | - Dwight Jones
- Department of Otolaryngology/Head & Neck Surgery, University of Nebraska College of Medicine, University of Nebraska Medical Center, Omaha, Nebraska
| | - Jia Weng
- Department of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Susan Ellenberg
- Department of Biostatistics and Epidemiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Ronald D. Chervin
- Neurology and Sleep Disorders Center, University of Michigan, Ann Arbor, Michigan
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Konstantinopoulou S, Gallagher P, Elden L, Garetz SL, Mitchell RB, Redline S, Rosen CL, Katz ES, Chervin RD, Amin R, Arens R, Paruthi S, Marcus CL. Complications of adenotonsillectomy for obstructive sleep apnea in school-aged children. Int J Pediatr Otorhinolaryngol 2015; 79:240-5. [PMID: 25575425 PMCID: PMC4319650 DOI: 10.1016/j.ijporl.2014.12.018] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 12/14/2014] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Adenotonsillectomy is the treatment of choice for most children with obstructive sleep apnea syndrome, but can lead to complications. Current guidelines recommend that high-risk children be hospitalized after adenotonsillectomy, but it is unclear which otherwise-healthy children will develop post-operative complications. We hypothesized that polysomnographic parameters would predict post-operative complications in children who participated in the Childhood AdenoTonsillectomy (CHAT) study. METHODS Children in the CHAT study aged 5-9 years with apnea hypopnea index 2-30/h or obstructive apnea index 1-20/h without comorbidities other than obesity/asthma underwent adenotonsillectomy. Associations between demographic variables and surgical complications were examined with Chi square and Fisher's exact tests. Polysomnographic parameters between subjects with/without complications were compared using Mann-Whitney tests. RESULTS Of the 221 children (median apnea hypopnea index 4.7/h, range 1.2-27.7/h; 31% obese), 16 (7%) children experienced complications. 3 (1.4%) children had respiratory complications including pulmonary edema, hypoxemia and bronchospasm. Thirteen (5.9%) had non-respiratory complications, including dehydration (4.5%), hemorrhage (2.3%) and fever (0.5%). There were no statistically significant associations between demographic parameters (gender, race, and obesity) or polysomnographic parameters (apnea hypopnea index, % total sleep time with SpO2<92%, SpO2 nadir, % sleep time with end-tidal CO2>50Torr) and complications. CONCLUSIONS This study showed a low risk of post-adenotonsillectomy complications in school-aged healthy children with obstructive apnea although many children met published criteria for admission due to obesity, or polysomnographic severity. In this specific population, none of the polysomnographic or demographic parameters predicted post-operative complications. Further research could identify the patients at greatest risk of post-operative complications.
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Affiliation(s)
- Sofia Konstantinopoulou
- Department of Pediatrics, Sleep Center, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States.
| | - Paul Gallagher
- Biostatistics Core, The Clinical and Translational Research Center, Children’s Hospital of Philadelphia; University of Pennsylvania, Philadelphia, PA
| | - Lisa Elden
- Department of Otolaryngology, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA
| | - Susan L. Garetz
- Department of Otolaryngology, University of Michigan, Ann Arbor, MI
| | - Ron B. Mitchell
- Departments of Otolaryngology and Pediatrics, UT Southwestern Medical Center, Dallas, TX
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Carol L. Rosen
- Department of Pediatrics, Rainbow Babies & Children’s Hospital, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, OH
| | - Eliot S. Katz
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA
| | - Ronald D. Chervin
- Departments of Pediatrics and Neurology, University of Michigan, Ann Arbor, MI
| | - Raouf Amin
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Raanan Arens
- Department of Pediatrics, Children’s Hospital at Montefiore and Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY
| | - Shalini Paruthi
- Department of Pediatrics and Internal Medicine, Cardinal Glennon Children’s Medical Center, Saint Louis University, St Louis, MO
| | - Carole L. Marcus
- Department of Pediatrics, Sleep Center, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA
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Ramos AR, Tarraf W, Rundek T, Redline S, Wohlgemuth WK, Loredo JS, Sacco RL, Lee DJ, Arens R, Lazalde P, Choca JP, Mosley T, González HM. Obstructive sleep apnea and neurocognitive function in a Hispanic/Latino population. Neurology 2014; 84:391-8. [PMID: 25540308 DOI: 10.1212/wnl.0000000000001181] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE We evaluated the association between obstructive sleep apnea (OSA) and neurocognitive function among community-dwelling Hispanic/Latino individuals in the United States. METHODS Cross-sectional analysis of the Hispanic Community Health Study/Study of Latinos middle-aged and older adults, aged 45 to 74 years, with neurocognitive test scores at baseline measurements from 2008 to 2011. Neurocognitive scores were measured using the Word Fluency (WF) Test, the Brief-Spanish English Verbal Learning Test (SEVLT), and the Digit Symbol Substitution (DSS) Test. OSA was defined by the apnea-hypopnea index (AHI). Multivariable linear regression models were fit to evaluate relations between OSA and neurocognitive scores. RESULTS The analysis consisted of 8,059 participants, mean age of 56 years, 55% women, and 41% with less than high school education. The mean AHI was 9.0 (range 0-142; normal AHI <5/h). There was an association between the AHI and all 4 neurocognitive test scores: Brief-SEVLT-sum (β = -0.022) and -recall (β = -0.010), WF (β = -0.023), and DSS (β = -0.050) at p < 0.01 that was fully attenuated by age. In the fully adjusted regression model, female sex was a moderating factor between the AHI and WF (β = -0.027, p < 0.10), SVELT-sum (β = -0.37), SVELT-recall (β = -0.010), and DSS (β = -0.061) at p < 0.01. CONCLUSION OSA was associated with worse neurocognitive function in a representative sample of Hispanic/Latino women in the United States.
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Affiliation(s)
- Alberto R Ramos
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Wassim Tarraf
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Tatjana Rundek
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Susan Redline
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - William K Wohlgemuth
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Jose S Loredo
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Ralph L Sacco
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - David J Lee
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Raanan Arens
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Patricia Lazalde
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - James P Choca
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Thomas Mosley
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing
| | - Hector M González
- From the Departments of Neurology (A.R.R., T.R., R.L.S.) and Epidemiology and Public Health (T.R., R.L.S., D.J.L.), University of Miami, Miller School of Medicine, FL; Institute of Gerontology (W.T.), Wayne State University, Detroit, MI; Brigham and Women's Hospital and Beth Israel Deaconess Medical Center (S.R.), Harvard Medical School, Boston, MA; Bruce W. Carter Department of Veterans Affairs Medical Center (W.K.W.), Miami, FL; Department of Medicine (J.S.L.), University of California San Diego; The Children's Hospital at Montefiore (R.A.), Albert Einstein College of Medicine, Bronx, NY; HCHS/SOL Field Center (P.L.), San Diego State University, CA; Department of Psychology (J.P.C.), Roosevelt University, Chicago, IL; Department of Neurology (T.M.), University of Mississippi, Jackson; and Department of Epidemiology and Biostatistics (H.M.G.), Michigan State University, East Lansing.
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Ruben J, Garcia-Romo G, Kamerling S, Redeker A, Arens R, van Kooten C. Interaction between plasmacytoid DC and renal epithelial cells; at the crossroad of allo- and anti-viral-immunity. Transpl Immunol 2014. [DOI: 10.1016/j.trim.2014.11.188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Katz ES, Moore RH, Rosen CL, Mitchell RB, Amin R, Arens R, Muzumdar H, Chervin RD, Marcus CL, Paruthi S, Willging P, Redline S. Growth after adenotonsillectomy for obstructive sleep apnea: an RCT. Pediatrics 2014; 134:282-9. [PMID: 25070302 PMCID: PMC4187239 DOI: 10.1542/peds.2014-0591] [Citation(s) in RCA: 81] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Adenotonsillectomy for obstructive sleep apnea syndrome (OSAS) may lead to weight gain, which can have deleterious health effects when leading to obesity. However, previous data have been from nonrandomized uncontrolled studies, limiting inferences. This study examined the anthropometric changes over a 7-month interval in a randomized controlled trial of adenotonsillectomy for OSAS, the Childhood Adenotonsillectomy Trial. METHODS A total of 464 children who had OSAS (average apnea/hypopnea index [AHI] 5.1/hour), aged 5 to 9.9 years, were randomized to Early Adenotonsillectomy (eAT) or Watchful Waiting and Supportive Care (WWSC). Polysomnography and anthropometry were performed at baseline and 7-month follow-up. Multivariable regression modeling was used to predict the change in weight and growth indices. RESULTS Interval increases in the BMI z score (0.13 vs. 0.31) was observed in both the WWSC and eAT intervention arms, respectively, but were greater with eAT (P < .0001). Statistical modeling showed that BMI z score increased significantly more in association with eAT after considering the influences of baseline weight and AHI. A greater proportion of overweight children randomized to eAT compared with WWSC developed obesity over the 7-month interval (52% vs. 21%; P < .05). Race, gender, and follow-up AHI were not significantly associated with BMI z score change. CONCLUSIONS eAT for OSAS in children results in clinically significant greater than expected weight gain, even in children overweight at baseline. The increase in adiposity in overweight children places them at further risk for OSAS and the adverse consequences of obesity. Monitoring weight, nutritional counseling, and encouragement of physical activity should be considered after eAT for OSAS.
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Affiliation(s)
- Eliot S. Katz
- Division of Respiratory Diseases, Boston Children’s Hospital, Boston, Massachusetts
| | - Renee H. Moore
- Department of Statistics, North Carolina State University, Raleigh, North Carolina
| | - Carol L. Rosen
- Department of Pediatrics, Rainbow Babies & Children's Hospital, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Ron B. Mitchell
- Departments of Otolaryngology and Pediatrics, Utah Southwestern Medical Center, Dallas, Texas
| | | | - Raanan Arens
- Department of Pediatrics, Children’s Hospital at Montefiore and Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Hiren Muzumdar
- Department of Neurology and Sleep Disorders Center, University of Michigan, Ann Arbor, Michigan
| | - Ronald D. Chervin
- Department of Pediatrics, Sleep Center, Children’s Hospital of Philadelphia; University of Pennsylvania, Philadelphia, Pennsylvania
| | - Carole L. Marcus
- Department of Statistics, North Carolina State University, Raleigh, North Carolina
| | - Shalini Paruthi
- Department of Pediatrics, Cardinal Glennon Children's Medical Center, Saint Louis University, St Louis, Missouri; and
| | - Paul Willging
- Otolaryngology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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Sin S, Wootton DM, McDonough JM, Nandalike K, Arens R. Anterior nasal resistance in obese children with obstructive sleep apnea syndrome. Laryngoscope 2014; 124:2640-4. [PMID: 24615829 DOI: 10.1002/lary.24653] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Revised: 01/27/2014] [Accepted: 02/19/2014] [Indexed: 11/07/2022]
Abstract
OBJECTIVES/HYPOTHESIS To evaluate nasal resistance in obese children with and without obstructive sleep apnea syndrome (OSAS), study the correlation between nasal resistance and severity of OSAS using the apnea-hypopnea index (AHI), and examine the association of gender and body mass index (BMI) with this measurement. STUDY DESIGN Retrospective analysis. METHODS Active anterior rhinomanometry was used to determine anterior nasal resistance (aNR) during wakefulness in the supine position during tidal breathing. Thirty obese children with OSAS (aged 13.8 ± 2.6 years, BMI z score 2.6 ± 0.4) and 32 matched obese controls (aged 13.6 ± 2.3 years, BMI z score 2.4 ± 0.4), were studied. Unpaired t tests and Spearman correlation were performed. RESULTS The OSAS group had significantly higher aNR than the non-OSAS group during inspiration (P = .012) and expiration (P = .003). A significant correlation between inspiratory aNR and AHI was found for the OSAS group (r = 0.39, P = .04). The aNR did not correlate with BMI z score or with either gender. CONCLUSIONS We noted a higher aNR in obese children with OSAS as compared to obese controls, and the aNR on inspiration correlated significantly with AHI. These findings suggest that a causal or augmentative effect of high inspiratory aNR may exist for obese children who exhibit OSAS. LEVEL OF EVIDENCE 3b.
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Affiliation(s)
- Sanghun Sin
- Division of Respiratory and Sleep Medicine, the Children's Hospital at Montefiore and Albert Einstein College of Medicine, Bronx, New York
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Udupa JK, Odhner D, Zhao L, Tong Y, Matsumoto MMS, Ciesielski KC, Falcao AX, Vaideeswaran P, Ciesielski V, Saboury B, Mohammadianrasanani S, Sin S, Arens R, Torigian DA. Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images. Med Image Anal 2014; 18:752-71. [PMID: 24835182 PMCID: PMC4086870 DOI: 10.1016/j.media.2014.04.003] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Revised: 04/11/2014] [Accepted: 04/11/2014] [Indexed: 11/16/2022]
Abstract
To make Quantitative Radiology (QR) a reality in radiological practice, computerized body-wide Automatic Anatomy Recognition (AAR) becomes essential. With the goal of building a general AAR system that is not tied to any specific organ system, body region, or image modality, this paper presents an AAR methodology for localizing and delineating all major organs in different body regions based on fuzzy modeling ideas and a tight integration of fuzzy models with an Iterative Relative Fuzzy Connectedness (IRFC) delineation algorithm. The methodology consists of five main steps: (a) gathering image data for both building models and testing the AAR algorithms from patient image sets existing in our health system; (b) formulating precise definitions of each body region and organ and delineating them following these definitions; (c) building hierarchical fuzzy anatomy models of organs for each body region; (d) recognizing and locating organs in given images by employing the hierarchical models; and (e) delineating the organs following the hierarchy. In Step (c), we explicitly encode object size and positional relationships into the hierarchy and subsequently exploit this information in object recognition in Step (d) and delineation in Step (e). Modality-independent and dependent aspects are carefully separated in model encoding. At the model building stage, a learning process is carried out for rehearsing an optimal threshold-based object recognition method. The recognition process in Step (d) starts from large, well-defined objects and proceeds down the hierarchy in a global to local manner. A fuzzy model-based version of the IRFC algorithm is created by naturally integrating the fuzzy model constraints into the delineation algorithm. The AAR system is tested on three body regions - thorax (on CT), abdomen (on CT and MRI), and neck (on MRI and CT) - involving a total of over 35 organs and 130 data sets (the total used for model building and testing). The training and testing data sets are divided into equal size in all cases except for the neck. Overall the AAR method achieves a mean accuracy of about 2 voxels in localizing non-sparse blob-like objects and most sparse tubular objects. The delineation accuracy in terms of mean false positive and negative volume fractions is 2% and 8%, respectively, for non-sparse objects, and 5% and 15%, respectively, for sparse objects. The two object groups achieve mean boundary distance relative to ground truth of 0.9 and 1.5 voxels, respectively. Some sparse objects - venous system (in the thorax on CT), inferior vena cava (in the abdomen on CT), and mandible and naso-pharynx (in neck on MRI, but not on CT) - pose challenges at all levels, leading to poor recognition and/or delineation results. The AAR method fares quite favorably when compared with methods from the recent literature for liver, kidneys, and spleen on CT images. We conclude that separation of modality-independent from dependent aspects, organization of objects in a hierarchy, encoding of object relationship information explicitly into the hierarchy, optimal threshold-based recognition learning, and fuzzy model-based IRFC are effective concepts which allowed us to demonstrate the feasibility of a general AAR system that works in different body regions on a variety of organs and on different modalities.
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Affiliation(s)
- Jayaram K Udupa
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States.
| | - Dewey Odhner
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States
| | - Liming Zhao
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States
| | - Yubing Tong
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States
| | - Monica M S Matsumoto
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States
| | - Krzysztof C Ciesielski
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States; Department of Mathematics, West Virginia University, Morgantown, WV 26506-6310, United States
| | - Alexandre X Falcao
- LIV, Institute of Computing, University of Campinas, Av. Albert Einstein 1251, 13084-851 Campinas, SP, Brazil
| | - Pavithra Vaideeswaran
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States
| | - Victoria Ciesielski
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States
| | - Babak Saboury
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States
| | - Syedmehrdad Mohammadianrasanani
- Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 423 Guardian Drive, Blockley Hall, 4th Floor, Philadelphia, PA 19104, United States
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, 3415 Bainbridge Avenue, Bronx, NY 10467, United States
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Children's Hospital at Montefiore, 3415 Bainbridge Avenue, Bronx, NY 10467, United States
| | - Drew A Torigian
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104-4283, United States
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46
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Redline S, Sotres-Alvarez D, Loredo J, Hall M, Patel SR, Ramos A, Shah N, Ries A, Arens R, Barnhart J, Youngblood M, Zee P, Daviglus ML. Sleep-disordered breathing in Hispanic/Latino individuals of diverse backgrounds. The Hispanic Community Health Study/Study of Latinos. Am J Respir Crit Care Med 2014; 189:335-44. [PMID: 24392863 DOI: 10.1164/rccm.201309-1735oc] [Citation(s) in RCA: 178] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
RATIONALE Hispanic/Latino populations have a high prevalence of cardiovascular risk factors and may be at risk for sleep-disordered breathing (SDB). An understanding of SDB among these populations is needed given evidence that SDB increases cardiovascular risk. OBJECTIVES To quantify SDB prevalence in the U.S. Hispanic/Latino population and its association with symptoms, risk factors, diabetes, and hypertension; and to explore variation by sex and Hispanic/Latino background. METHODS Cross-sectional analysis from the baseline examination of the Hispanic Community Health Study/Study of Latinos. MEASUREMENTS AND MAIN RESULTS The apnea-hypopnea index (AHI) was derived from standardized sleep tests; diabetes and hypertension were based on measurement and history. The sample of 14,440 individuals had an age-adjusted prevalence of minimal SDB (AHI ≥ 5), moderate SDB (AHI ≥ 15), and severe SDB (AHI ≥ 30) of 25.8, 9.8, and 3.9%, respectively. Only 1.3% of participants reported a sleep apnea diagnosis. Moderate SDB was associated with being male (adjusted odds ratio, 2.7; 95% confidence interval, 2.3-3.1), obese (16.8; 11.6-24.4), and older. SDB was associated with an increased adjusted odds of impaired glucose tolerance (1.7; 1.3-2.1), diabetes (2.3; 1.8-2.9), and hypertension. The association with hypertension varied across background groups with the strongest associations among individuals of Puerto Rican and Central American background. CONCLUSIONS SDB is prevalent in U.S. Latinos but rarely associated with a clinical diagnosis. Associations with diabetes and hypertension suggest a large burden of disease may be attributed to untreated SDB, supporting the development and evaluation of culturally relevant detection and treatment approaches.
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Affiliation(s)
- Susan Redline
- 1 Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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47
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Luo H, Sin S, McDonough JM, Isasi CR, Arens R, Wootton DM. Computational fluid dynamics endpoints for assessment of adenotonsillectomy outcome in obese children with obstructive sleep apnea syndrome. J Biomech 2014; 47:2498-503. [PMID: 24840295 DOI: 10.1016/j.jbiomech.2014.03.023] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Accepted: 03/12/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND Improvements in obstructive sleep apnea syndrome (OSAS) severity may be associated with improved pharyngeal fluid mechanics following adenotonsillectomy (AT). The study objective is to use image-based computational fluid dynamics (CFD) to model changes in pharyngeal pressures after AT, in obese children with OSAS and adenotonsillar hypertrophy. METHODS Three-dimensional models of the upper airway from nares to trachea, before and after AT, were derived from magnetic resonance images obtained during wakefulness, in a cohort of 10 obese children with OSAS. Velocity, pressure, and turbulence fields during peak tidal inspiratory flow were computed using commercial software. CFD endpoints were correlated with polysomnography endpoints before and after AT using Spearman׳s rank correlation (rs). RESULTS Apnea hypopnea index (AHI) decreases after AT was strongly correlated with reduction in maximum pressure drop (dPTAmax) in the region where tonsils and adenoid constrict the pharynx (rs=0.78, P=0.011), and with decrease of the ratio of dPTAmax to flow rate (rs=0.82, P=0.006). Correlations of AHI decrease to anatomy, negative pressure in the overlap region (including nasal flow resistance), or pressure drop through the entire pharynx, were not significant. In a subgroup of subjects with more than 10% improvement in AHI, correlations between flow variables and AHI decrease were stronger than in all subjects. CONCLUSIONS The correlation between change in dPTAmax and improved AHI suggests that dPTAmax may be a useful index for internal airway loading due to anatomical narrowing, and may be better correlated with AHI than direct airway anatomic measurements.
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Affiliation(s)
- Haiyan Luo
- Department of Mechanical Engineering, The Cooper Union for the Advancement of Science and Art, 41 Cooper Square, New York, NY, USA
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, The Children׳s Hospital at Montefiore, Bronx, NY, USA
| | - Joseph M McDonough
- Division of Pulmonary Medicine, The Children׳s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, The Children׳s Hospital at Montefiore, Bronx, NY, USA
| | - David M Wootton
- Department of Mechanical Engineering, The Cooper Union for the Advancement of Science and Art, 41 Cooper Square, New York, NY, USA.
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48
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Weinstock TG, Rosen CL, Marcus CL, Garetz S, Mitchell RB, Amin R, Paruthi S, Katz E, Arens R, Weng J, Ross K, Chervin RD, Ellenberg S, Wang R, Redline S. Predictors of obstructive sleep apnea severity in adenotonsillectomy candidates. Sleep 2014; 37:261-9. [PMID: 24497655 DOI: 10.5665/sleep.3394] [Citation(s) in RCA: 105] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
STUDY OBJECTIVES There is uncertainty over which characteristics increase obstructive sleep apnea syndrome (OSAS) severity in children. In candidates for adenotonsillectomy (AT), we evaluated the relationship of OSAS severity and age, sex, race, body mass index (BMI), environmental tobacco smoke (ETS), prematurity, socioeconomic variables, and comorbidities. DESIGN Cross-sectional screening and baseline data were analyzed from the Childhood Adenotonsillectomy Trial, a randomized, controlled, multicenter study evaluating AT versus medical management. Regression analysis assessed the relationship between the apnea hypopnea index (AHI) and risk factors obtained by direct measurement or questionnaire. SETTING Clinical referral setting. PARTICIPANTS Children, ages 5 to 9.9 y with OSAS. MEASUREMENTS AND RESULTS Of the 1,244 children undergoing screening polysomnography, 464 (37%) were eligible (2 ≤ AHI < 30 or 1 ≤ obstructive apnea index [OAI] < 20 and without severe oxygen desaturation) and randomized; 129 (10%) were eligible but were not randomized; 608 (49%) had AHI/OAI levels below entry criteria; and 43 (3%) had levels of OSAS that exceeded entry criteria. Among the randomized children, univariate analyses showed significant associations of AHI with race, BMI z score, environmental tobacco smoke (ETS), family income, and referral source, but not with other variables. After adjusting for potential confounders, African American race (P = 0.003) and ETS (P = 0.026) were each associated with an approximately 20% increase in AHI. After adjusting for these factors, obesity and other factors were not significant. CONCLUSIONS Apnea hypopnea index level was significantly associated with race and environmental tobacco smoke, highlighting the potential effect of environmental factors, and possibly genetic factors, on pediatric obstructive sleep apnea syndrome severity. Efforts to reduce environmental tobacco smoke exposure may help reduce obstructive sleep apnea syndrome severity. CLINICAL TRIAL REGISTRATION Clinicaltrials.gov (#NCT00560859).
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Affiliation(s)
- Tanya G Weinstock
- Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Carol L Rosen
- Department of Pediatrics, Rainbow Babies and Children's Hospital, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, OH
| | - Carole L Marcus
- Sleep Center, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA
| | - Susan Garetz
- Department of Otolaryngology, University of Michigan Medical Center, Ann Arbor, MI
| | - Ron B Mitchell
- University of Texas Southwestern Medical Center, Dallas, TX
| | - Raouf Amin
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Shalini Paruthi
- Department of Pediatrics, Cardinal Glennon Children's Hospital, Saint Louis University, St Louis, MO
| | - Eliot Katz
- Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA
| | - Raanan Arens
- Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY
| | - Jia Weng
- Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Kristie Ross
- Department of Pediatrics, Rainbow Babies and Children's Hospital, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, OH
| | - Ronald D Chervin
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI
| | - Susan Ellenberg
- Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Rui Wang
- Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
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49
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Pillai S, Nandalike K, Kogelman Y, Muzumdar R, Balk SJ, Arens R. Severe obstructive sleep apnea in a child with melanocortin-4 receptor deficiency. J Clin Sleep Med 2014; 10:99-101. [PMID: 24426828 DOI: 10.5664/jcsm.3374] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Obstructive sleep apnea (OSA) is a highly prevalent medical condition in obese children and is associated with significant neurocognitive, cardiovascular and metabolic derangements. Monogenic forms of obesity resulting from disruption of the leptin-melanocortin pathways have become more notable in recent years and distinguish between various obese phenotypes. However, the association of such disorders with OSA is not well established in children or adults. In this report, we describe a 23-month-old female with morbid obesity and OSA, who was found to carry a defect in the melanocortin-4 receptor (MC4R) pathway. This report emphasizes the genetic basis of obesity related to MC4R deficiency and OSA in children.
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Affiliation(s)
| | | | | | | | - Sophie J Balk
- General Pediatrics, Department of Pediatrics, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY
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50
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Wootton DM, Luo H, Persak SC, Sin S, McDonough JM, Isasi CR, Arens R. Computational fluid dynamics endpoints to characterize obstructive sleep apnea syndrome in children. J Appl Physiol (1985) 2013; 116:104-12. [PMID: 24265282 DOI: 10.1152/japplphysiol.00746.2013] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Computational fluid dynamics (CFD) analysis may quantify the severity of anatomical airway restriction in obstructive sleep apnea syndrome (OSAS) better than anatomical measurements alone. However, optimal CFD model endpoints to characterize or assess OSAS have not been determined. To model upper airway fluid dynamics using CFD and investigate the strength of correlation between various CFD endpoints, anatomical endpoints, and OSAS severity, in obese children with OSAS and controls. CFD models derived from magnetic resonance images were solved at subject-specific peak tidal inspiratory flow; pressure at the choanae was set by nasal resistance. Model endpoints included airway wall minimum pressure (Pmin), flow resistance in the pharynx (Rpharynx), and pressure drop from choanae to a minimum cross section where tonsils and adenoids constrict the pharynx (dPTAmax). Significance of endpoints was analyzed using paired comparisons (t-test or Wilcoxon signed rank test) and Spearman correlation. Fifteen subject pairs were analyzed. Rpharynx and dPTAmax were higher in OSAS than control and most significantly correlated to obstructive apnea-hypopnea index (oAHI), r = 0.48 and r = 0.49, respectively (P < 0.01). Airway minimum cross-sectional correlation to oAHI was weaker (r = -0.39); Pmin was not significantly correlated. CFD model endpoints based on pressure drops in the pharynx were more closely associated with the presence and severity of OSAS than pressures including nasal resistance, or anatomical endpoints. This study supports the usefulness of CFD to characterize anatomical restriction of the pharynx and as an additional tool to evaluate subjects with OSAS.
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Affiliation(s)
- David M Wootton
- Kanbar Center for Biomedical Engineering and Department of Mechanical Engineering, The Cooper Union for the Advancement of Science and Art, New York, New York
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