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Zhao J, Wang M, Li N, Luo Q, Yao L, Cai X, Yue N, Ren Y, Wang G. Development and Validation of a Novel Model for Predicting Coronary Heart Disease in Snoring Hypertensive Patients with Hyperhomocysteinemia. Int Heart J 2023; 64:970-978. [PMID: 37967976 DOI: 10.1536/ihj.23-384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2023]
Abstract
Hypertensive patients with snoring and elevated plasma homocysteine levels are common. When these factors are combined, the risk of coronary heart disease (CHD) is high. Herein, we developed and validated an easy-to-use nomogram to predict high-risk CHD in snoring hypertensive patients with elevated plasma homocysteine.Snoring patients (n = 1,962) with hyperhomocysteinemia and hypertension were divided into training (n = 1,373, 70%) and validation (n = 589, 30%) sets. We extracted CHD predictors using multivariate Cox regression analysis, then constructed a nomogram model. Internal validation using 1,000 bootstrap resampling was performed to assess the consistency and discrimination of the predictive model using the area under the receiver operating characteristic curve (AUC) and calibration plots.We constructed a nomogram model with the extracted predictors, including age, waist-height ratio, smoking, and low-density lipoprotein cholesterol levels. The AUCs of the training and validation cohorts at 80 months were 0.735 (95% CI: 0.678-0.792) and 0.646 (95% CI: 0.547-0.746), respectively. The consistency between the observed CHD survival and the probability of CHD survival in the training and validation sets was acceptable based on the calibration plots. A total of more than 151 points in the nomogram can be used in the identification of high-risk patients for CHD among snoring hypertensive patients with elevated plasma homocysteine.We developed a CHD risk prediction model for snoring hypertension patients with hyperhomocysteinemia. Our findings provide a useful clinical tool for the rapid identification of high-risk CHD at an early stage.
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Affiliation(s)
- Jianwen Zhao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
| | - Menghui Wang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
| | - Qin Luo
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
| | - Ling Yao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
| | - Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
| | - Na Yue
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
| | - Yingli Ren
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
| | - Guoliang Wang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region
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Webb AL, Lynch JT, Pickering MR, Perriman DM. Shape modelling of the oropharynx distinguishes associations with body morphology but not whiplash-associated disorder. J Anat 2022; 242:535-543. [PMID: 36300770 PMCID: PMC9919469 DOI: 10.1111/joa.13783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/10/2022] [Accepted: 10/11/2022] [Indexed: 11/30/2022] Open
Abstract
Characterization of the oropharynx, a subdivision of the pharynx between the soft palate and the epiglottis, is limited to simple measurements. Structural changes in the oropharynx in whiplash-associated disorder (WAD) cohorts have been quantified using two-dimensional (2D) and three-dimensional (3D) measures but the results are inconsistent. Statistical shape modelling (SSM) may be a more useful tool for systematically comparing morphometric features between cohorts. This technique has been used to quantify the variability in boney and soft tissue structures, but has not been used to examine a hollow cavity such as the oropharynx. The primary aim of this project was to examine the utility of SSM for comparing the oropharynx between WAD cohorts and control; and WAD severity cohorts. The secondary aim was to determine whether shape is associated with sex, height, weight and neck length. Magnetic resonance (MR) T1-weighted images were obtained from healthy control (n = 20), acute WAD (n = 14) and chronic WAD (n = 14) participants aged 18-39 years. Demographic, WAD severity (neck disability index) and body morphometry data were collected from each participant. Manual segmentation of the oropharynx was undertaken by blinded researchers between the top of the soft palate and tip of the epiglottis. Digital 3D oropharynx models were constructed from the segmented images and principal component (PC) analysis was performed with the PC weights normalized to z-scores for consistency. Statistical analyses were undertaken using multivariate linear models. In the first statistical model the independent variable was group (acute WAD, chronic WAD, control); and in the second model the independent variable was WAD severity (recovered/mild, moderate/severe). The covariates for both models included height, weight, average neck length and sex. Shape models were constructed to visualize the effect of perturbing these covariates for each relevant mode. The shape model revealed five modes which explained 90% of the variance: mode 1 explained 59% of the variance and primarily described differences in isometric size of the oropharynx, including elongation; mode 2 (13%) primarily described lateral (width) and AP (depth) dimensions; mode 3 (8%) described retroglossal AP dimension; mode 4 (6%) described lateral dimensions at the retropalatal-retroglossal junction and mode 5 (4%) described the lateral dimension at the inferior retroglossal region. There was no difference in shape (mode 1 p = 0.52; mode 2 p = 0.96; mode 3 p = 0.07; mode 4 p = 0.54; mode 5 p = 0.74) between control, acute WAD and chronic WAD groups. There were no statistical differences for any mode (mode 1 p = 0.12; mode 2 p = 0.29; mode 3 p = 0.56; mode 4 p = 0.99; mode 5 p = 0.96) between recovered/mild and moderate/severe WAD. Sex was not significant in any of the models but for mode 1 there was a significant association with height (p = 0.007), mode 2 neck length (p = 0.044) and in mode 3 weight (p = 0.027). Although SSM did not detect differences between WAD cohorts, it did detect associations with body morphology indicating that it may be a useful tool for examining differences in the oropharynx.
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Affiliation(s)
- Alexandra L. Webb
- Medical School, College of Health and MedicineAustralian National UniversityCanberra, ACTAustralia
| | - Joseph T. Lynch
- Medical School, College of Health and MedicineAustralian National UniversityCanberra, ACTAustralia,Trauma and Orthopaedic Research Unit, Canberra Health ServicesCanberra, ACTAustralia
| | - Mark R. Pickering
- School of Engineering and Information TechnologyUniversity of New South WalesCanberra, ACTAustralia
| | - Diana M. Perriman
- Medical School, College of Health and MedicineAustralian National UniversityCanberra, ACTAustralia,Trauma and Orthopaedic Research Unit, Canberra Health ServicesCanberra, ACTAustralia
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Zhang F, Tian Z, Shu Y, Zou B, Yao H, Li S, Li Q. The Efficiency of Orofacial Myofunctional Therapy in Treating Obstructive Sleep Apnea: A Meta-Analysis of Observational Studies. J Oral Rehabil 2022; 49:734-745. [PMID: 35342989 DOI: 10.1111/joor.13325] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 02/22/2022] [Accepted: 03/21/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVE The literature on orofacial myofunctional therapy (OMT) in children and adults with obstructive sleep apnea (OSA) was systematically reviewed to investigate the effects of OMT on patients with OSA by age and disease severity to verify the effect of OMT on OSA. DATA SOURCES All the comparative literature was retrieved from the PubMed, Embase, and Cochrane libraries. METHOD We searched the articles published up to February 12, 2022 and followed the preferred reporting project for systematic review and meta-analysis of reports. The quality of the studies was evaluated using the Newcastle-Ottawa scale. RESULTS Of the primary indicators for evaluating OSA, 13 studies reported on the apnea index (AHI), showing a decrease in the mean standard deviation of AHI from before OMT to after OMT (P < 0.00001). The lowest oxygen saturation was reported in nine studies, and the mean standard deviation of the lowest oxygen saturation increased from before to after OMT (P = 0.0009). Ten studies reported the Epworth Sleepiness Scale (ESS), indicating that the mean standard deviation of the ESS decreased from before to after OMT (P < 0.00001). The subgroup analysis showed that the AHI scores indicating mild and moderate OSA were significantly reduced, and the AHI scores indicating severe OSA also decreased, but this was not statistically significant. The lowest oxygen saturation increased obviously in patients with both mild and moderate and severe OSA. Of the secondary indicators of OSA, there was a statistically significant improvement in snoring intensity (P = 0.0002). CONCLUSION Oral and facial muscular function therapy can be used as a simple and non-invasive new technique to improve the AHI, minimum oxygen saturation, ESS, and snoring intensity in patients with mild and moderate OSA and the lowest oxygen saturation in patients with severe OSA.
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Affiliation(s)
- Feng Zhang
- Department of Otolaryngology, Children's Hospital of Chongqing Medical University, 400014, Chongqing, People's Republic of China.,National Clinical Research Center for Child Health and Disorders, 400014, Chongqing, People's Republic of China.,Ministry of Education Key Laboratory of Child Development and Disorders, 400014, Chongqing, People's Republic of China
| | - Zhuo Tian
- Department of Geratology, Chongqing General Hospital, 400014, Chongqing, People's Republic of China
| | - Yan Shu
- Department of Otolaryngology, Children's Hospital of Chongqing Medical University, 400014, Chongqing, People's Republic of China.,National Clinical Research Center for Child Health and Disorders, 400014, Chongqing, People's Republic of China.,Ministry of Education Key Laboratory of Child Development and Disorders, 400014, Chongqing, People's Republic of China
| | - Bin Zou
- Department of Otolaryngology, Children's Hospital of Chongqing Medical University, 400014, Chongqing, People's Republic of China.,National Clinical Research Center for Child Health and Disorders, 400014, Chongqing, People's Republic of China.,Ministry of Education Key Laboratory of Child Development and Disorders, 400014, Chongqing, People's Republic of China
| | - Hongbing Yao
- Department of Otolaryngology, Children's Hospital of Chongqing Medical University, 400014, Chongqing, People's Republic of China.,National Clinical Research Center for Child Health and Disorders, 400014, Chongqing, People's Republic of China.,Ministry of Education Key Laboratory of Child Development and Disorders, 400014, Chongqing, People's Republic of China
| | - Shaojun Li
- National Clinical Research Center for Child Health and Disorders, 400014, Chongqing, People's Republic of China.,Ministry of Education Key Laboratory of Child Development and Disorders, 400014, Chongqing, People's Republic of China.,Department of Emergency, Children's Hospital of Chongqing Medical University, 400014, Chongqing, People's Republic of China
| | - Qiu Li
- National Clinical Research Center for Child Health and Disorders, 400014, Chongqing, People's Republic of China.,Ministry of Education Key Laboratory of Child Development and Disorders, 400014, Chongqing, People's Republic of China.,Department of Nephrology, Children's Hospital, Chongqing Medical University, 400014, Chongqing, People's Republic of China.,Chongqing Key Laboratory of Pediatrics, 400014, Chongqing, People's Republic of China
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Peacock JG, Yoon I, Banks KP, Rosenblatt SA. Using Abnormal Respiratory Motion on Myocardial Perfusion Scintigraphy as an Opportunity to Screen for Obstructive Sleep Apnea. J Nucl Med Technol 2020; 48:336-339. [PMID: 32709670 DOI: 10.2967/jnmt.120.248054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 05/19/2020] [Indexed: 11/16/2022] Open
Abstract
A pilot study was performed to determine whether the raw data from routinely obtained upright and supine myocardial perfusion scan (MPS) imaging could be used as an opportunity to screen for obstructive sleep apnea (OSA). We hypothesized that abnormal respiratory motion seen only on supine imaging (not upright imaging) corresponds with OSA. MPS supine-only respiratory motion was compared with known OSA diagnoses and with risk factors known to be associated with OSA. Methods: We reviewed 154 consecutive MPS studies from patients at our institution, including both exercise and chemical stress testing. All examinations were obtained because there was clinical suspicion of myocardial ischemia. We used the MPS panogram to assess for respiratory motion on supine stress or upright rest or stress imaging. We obtained the age, sex, body mass index, hypertensive history, and continuous positive airway pressure or OSA diagnosis history. Results: We compared the patients who had supine, stress-only respiratory motion with the remaining patients, assessing their OSA risk factors and known OSA diagnoses. In total, 65 patients (42.2%) had 3 or more OSA risk factors and 26 patients (16.9%) had a known OSA diagnosis. A similar percentage of patients with abnormal supine-only respiratory motion and patients with 3 or more OSA risk factors had a known OSA diagnosis, 9 (16.7%) and 14 (21.5%), respectively. Conclusion: We found a similar prevalence of known OSA diagnoses in patients with abnormal supine-only respiratory motion on MPS studies and patients with 3 or more OSA risk factors. The pilot study suggests that assessment of motion on MPS studies may provide an opportunity to also screen for OSA.
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Affiliation(s)
- Justin G Peacock
- Department of Radiology, San Antonio Military Medical Center, San Antonio, Texas; and
| | - Ilsup Yoon
- Department of Radiology, San Antonio Military Medical Center, San Antonio, Texas; and
| | - Kevin P Banks
- Department of Radiology, San Antonio Military Medical Center, San Antonio, Texas; and.,Department of Radiology, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Stephen A Rosenblatt
- Department of Radiology, San Antonio Military Medical Center, San Antonio, Texas; and
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Xie L, Wu Q, Hu W, Li W, Xiang G, Hao S, Guo C, Jiang H, Wu X, Wu X, Li S. Performance of brief ICF-sleep disorders and obesity core set in obstructive sleep apnea patients. Respir Res 2020; 21:156. [PMID: 32571309 PMCID: PMC7310139 DOI: 10.1186/s12931-020-01404-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 05/21/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Clinical questionnaires are mainly applied as screening tools for identification of the Obstructive sleep apnea (OSA) patients. Little attention has been paid to assess the body functions and health status of the patients. International Classification of Functioning, Disability and Health (ICF) was designed for better understanding and describing functioning and disability of patients. This study adopted the Brief ICF-Sleep Disorders and Obesity Core Set to evaluate the impairment of functioning and health status of OSA patients. METHODS Five hundred ninety-two participants were enrolled in this cross-sectional study. Data were collected using Brief ICF-Sleep Disorders and Obesity Core Set Polysomnography was performed and basic characteristics of the patients were recorded. RESULTS The scores for the component Body Functions and Code b130, b134, b140, b440, b530, s330, d160, d240, d450 of the two core sets were significantly different among the patients divided by apnea-hypopnea index (AHI) or oxygen saturation (SaO2) nadir, but the frequency of code s330, d160, d240, d450 was low. The Body Functions component of the both sets were closely related to neck circumference (NC), body mass index (BMI), apnea-hypopnea index (AHI) of the OSA patients. Body Functions of the Brief ICF-Sleep Disorders performed better with a threshold of 4 with sensitivity, specificity and area under the receiver operating characteristic curve (AUC) as 0.62, 0.74, 0.68(AHI ≥ 5), 0.69, 0.63, 0.66 (AHI ≥ 15), 0.75, 0.56, 0.66 (AHI ≥ 30), 0.56, 0.70, 0.63 (SaO2 nadir≤90%), 0.67, 0.66, 0.66 (SaO2 nadir<85%), 0.71, 0.59, 0.65 (SaO2 nadir<80%), separately. CONCLUSION The Body Functions component of both two sets could be an evaluation tool of impairment of body functions for OSA patients. The Brief ICF-Sleep Disorders Body Functions component performed better with a threshold of 4 and might provide a new insight for physicians to assess OSA patients.
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Affiliation(s)
- Liang Xie
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qinhan Wu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Weiping Hu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wenjing Li
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guiling Xiang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shengyu Hao
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chengyao Guo
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hong Jiang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaodan Wu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China.,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xu Wu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China. .,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Shanqun Li
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai, China. .,Clinical Centre for Sleep Breathing Disorders and Snoring, Zhongshan Hospital, Fudan University, Shanghai, China.
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