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山东大学学报 (医学版) ›› 2026, Vol. 64 ›› Issue (9): 17-25.doi: 10.6040/j.issn.1671-7554.0.2025.1237

• 临床医学 • 上一篇    

毫米波雷达监测儿童阻塞性睡眠呼吸暂停综合征的诊断价值

师晓丽,郭瑞祥,赵炎,边天帅,王晓华,牟鸿   

  1. 山东大学附属儿童医院耳鼻喉一科, 山东 济南 250022
  • 发布日期:2026-09-09
  • 通讯作者: 牟鸿. E-mail:yzmuhong2005@163.com
  • 基金资助:
    济南市卫健委科技发展计划(2024306006)

Diagnostic value of millimeter-wave radar monitoring for paediatric obstructive sleep apnoea syndrome

SHI Xiaoli, GUO Ruixiang, ZHAO Yan, BIAN Tianshuai, WANG Xiaohua, MU Hong   

  1. Department of Otorhinolaryngology Ⅰ, Childrens Hospital Affiliated to Shandong University, Jinan 250022, Shandong, China
  • Published:2026-09-09

摘要: 目的 探讨毫米波雷达技术的非接触式便携睡眠呼吸监测设备(portable monitoring devices, PMD)在儿童阻塞性睡眠呼吸暂停(obstructive sleep apnoea, OSA)诊断中的应用价值。 方法 选取2023年7月至2024年7月在山东大学附属儿童医院就诊的4~15岁疑似OSA患儿101例作为研究对象,同步给予整夜多导睡眠(polysomnography, PSG)监测和清雷QS600PMD监测,以PSG为标准,对比分析两种设备在阻塞性呼吸暂停低通气指数(obstructive apnoea-hypopnea index, OAHI)、最低血氧饱和度(lowest pulse oxygen saturation, LSpO2)等指标的差异及相关性,并按年龄、性别、合并症等进行亚组一致性分析,通过受试者工作特征曲线(receiver operating characteristic curve, ROC)评估清雷PMD的诊断效能,通过约登指数确定最佳诊断截断值,评估清雷PMD诊断儿童OSA的灵敏度与特异度。 结果 清雷PMD与PSG测得的OAHI差异无统计学意义(P>0.05),二者呈正相关(rs=0.89, P<0.01)。组内相关系数(intraclass correlation coefficient, ICC)为0.85(P<0.01)。Bland-Altman一致性分析显示95.05%的数据点位于一致性界限内。各亚组一致性均达到良好及以上水平。清雷PMD与PSG测得的AHI、LSpO2及平均血氧饱和度存在统计学差异(均P<0.01),但差异未达临床有意义阈值。ROC分析显示,清雷PMD诊断儿童OSA的曲线下面积(area under the curve, AUC)为0.91,最佳截断值(OAHI≥2.15次/h)时灵敏度为76.90%,特异度为100.00%。 结论 清雷PMD在儿童OSA诊断中与PSG具有高度一致性,核心指标OAHI测量可靠,兼具100%高特异度与非接触式监测优势,能提升患儿依从性,适用于基层医疗场景初筛,具有重要临床推广价值。

关键词: 儿童阻塞性睡眠呼吸暂停, 便携式睡眠呼吸监测, 多导睡眠监测, 诊断效能

Abstract: Objective To evaluate the application value of a sleep respiratory non-contact portable monitoring device(Qinglei PMD)based on millimeter-wave radar technology in the diagnosis of paediatric obstructive sleep apnoea(OSA). Methods A total of 101 children aged 4-15 years suspected of OSA from July 2023 to July 2024 were enrolled in the study. All participants underwent aseries of evaluations,including simultaneous overnight polysomnography(PSG, regardedas the gold standard)and Qinglei PMD monitoring. The differences and correlations of indicators including the obstructive apnoea-hypopnea index(OAHI)and the lowest pulse oxygen saturation(LSpO2)between the two devices were analyzed. Subgroup consistency analysis was performed on the basis of age, gender, and comorbidities. The diagnostic efficacy of Qinglei PMD was assessed using the receiver operating characteristic curve(ROC). The optimal diagnostic cut-off value was determined via the Youden index, and the sensitivity and specificity of Qinglei PMD for diagnosing paediatric OSA were calculated accordingly. Results No significant statistical difference was observed in OAHI between Qinglei PMD and PSG(P>0.05), with a strong positive correlation(rs=0.89, P<0.01)and an intraclass correlation coefficient(ICC)of 0.85(P<0.01). The Bland-Altman agreement analysis demonstrated that 95.05% of the data points fell within the limits of agreement, and consistency in all subgroups reached good or excellent levels. Statistical disparities were identified in AHI, LSpO2, and mean oxygen saturation between Qinglei PMD and PSG(all P<0.01). However, these disparities did not attain clinically significant thresholds. ROC analysis revealed that the area under the curve(AUC)of Qinglei PMD for diagnosing paediatric OSA was 0.91. Utilizing the optimal cut-off value-of OAHI≥2.15 events/hour, the sensitivity was determined to be 76.90%, while the specificity was found to be 100.00%. Conclusion Qinglei PMD demonstrates a high degree of consistency with PSG in the diagnosis of paediatric OSA, with reliable measurement of the core indicator OAHI. The device exhibits both high specificity(100%)and non-contact monitoring advantages, which have the potential to enhance patient compliance and are well-suited for initial screening in primary healthcare settings. Consequently, it possesses significant clinical promotion value.

Key words: Paediatric obstructive sleep apnoea, Portable sleep monitoring, Polysomnography, Diagnostic performance

中图分类号: 

  • R762
[1] Teplitzky T B, Zauher A, Isaiah A. Evaluation and diagnosis of pediatric obstructive sleep apnea: an update[J]. Front Sleep, 2023, 2: 1127784. DOI:10.3389/frsle.2023.1127784
[2] 高菡冰, 管明. 儿童阻塞性睡眠呼吸暂停对颌面发育的影响和机制[J]. 临床耳鼻咽喉头颈外科杂志, 2024, 38(8): 758-761. Gao Hanbing, Guan Ming. Effect and mechanism of obstructive sleep apnea on maxillofacial development in children[J]. Journal of Clinical Otorhinolaryngology Head and Neck Surgery, 2024, 38(8): 758-761.
[3] Pase M P, Harrison S, Misialek J R, et al. Sleep architecture, obstructive sleep apnea, and cognitive function in adults[J]. JAMA Netw Open, 2023, 6(7): e2325152. DOI:10.1001/jamanetworkopen.2023.25152
[4] Puzino K, Bourchtein E, Calhoun S L, et al. Behavioral, neurocognitive, polysomnographic and cardiometabolic profiles associated with obstructive sleep apnea in adolescents with ADHD[J]. Child Psychology Psychiatry, 2022, 63(5): 544-552.
[5] Kendzerska T, Radhakrishnan D, Amin R, et al. Obstructive sleep apnea and mental health disorders in the pediatric population: a retrospective, population-based cohort study[J]. Ann Am Thorac Soc, 2024, 21(9): 1299-1308.
[6] Han Y Y, Guo R X, Feng Z Y, et al. Associations of systemic inflammation markers with myocardial enzymes in pediatric adenotonsillar hypertrophy: a cross-sectional study[J]. Heliyon, 2023, 9(7): e17719. DOI:10.1016/j.heliyon.2023.e17719
[7] Trzepizur W, Blanchard M, Ganem T, et al. Sleep apnea-specific hypoxic burden, symptom subtypes, and risk of cardiovascular events and all-cause mortality[J]. Am J Respir Crit Care Med, 2022, 205(1): 108-117.
[8] Loo G H, Rajan R, Mohd Tamil A, et al. Prevalence of obstructive sleep apnea in an Asian bariatric population: an underdiagnosed dilemma[J]. Surg Obes Relat Dis, 2020, 16(6): 778-783.
[9] Luong S, Culp M, McCreary M, et al. Reasons and predictors for early termination of pediatric polysomnography: one children’s hospital’s experience[J]. J Clin Sleep Med, 2023, 19(10): 1711-1716.
[10] Kevat A, Alwadhi D, Collaro A, et al. Parent-reported experiences of in-laboratory polysomnography in children with neurodevelopmental disorders: a cross-sectional multi-centre study[J]. Sleep Breath, 2025, 29(2): 168. DOI:10.1007/s11325-025-03333-z
[11] Teplitzky T B, Zauher A J, Isaiah A. Alternatives to polysomnography for the diagnosis of pediatric obstructive sleep apnea[J]. Diagnostics, 2023, 13(11): 1956. DOI:10.3390/diagnostics13111956
[12] Manoni A, Loreti F, Radicioni V, et al. A new wearable system for home sleep apnea testing, screening, and classification[J]. Sensors, 2020, 20(24): 7014. DOI:10.3390/s20247014
[13] Xu Y X, Ou Q, Cheng Y L, et al. Comparative study of a wearable intelligent sleep monitor and polysomnography monitor for the diagnosis of obstructive sleep apnea[J]. Sleep Breath, 2023, 27(1): 205-212.
[14] Chiang A A, Jerkins E, Holfinger S, et al. OSA diagnosis goes wearable: are the latest devices ready to shine?[J]. J Clin Sleep Med, 2024, 20(11): 1823-1838.
[15] 薛健博, 赵瑞, 李静, 等. 非接触式睡眠呼吸监测仪在成人阻塞性睡眠呼吸暂停中的应用价值[J]. 中华结核和呼吸杂志, 2021, 44(10): 880-885. Xue Jianbo, Zhao Rui, Li Jing, et al. Validation of a contact-free sleep apnea monitor in adults with obstructive sleep apnea[J]. Chinese Journal of Tuberculosis and Respiratory Diseases, 2021, 44(10): 880-885.
[16] 冯晨, 张惠栋, 韩莹莹, 等. 脉冲无线电超宽带雷达技术在成人OSA中的应用研究[J]. 临床耳鼻咽喉头颈外科杂志, 2020, 34(7): 634-638. Feng Chen, Zhang Huidong, Han Yingying, et al. Application of impulse-radio ultra-wideband radar as a non-contact portable monitoring device for the diagnosis of obstructive sleep apnea[J]. Journal of Clinical Otorhinolaryngology Head and Neck Surgery, 2020, 34(7): 634-638.
[17] Balkan N, Çavu?瘙塂o glu M, Hornung R. Application of portable sleep monitoring devices in pregnancy: a comprehensive review[J]. Physiol Meas, 2024, 45(5): 05TR01. DOI:10.1088/1361-6579/ad43ad
[18] Mokhtaran M, Sacchi L, Tibollo V, et al. Obstructive sleep apnea home-monitoring using a commercial wearable device[J]. Stud Health Technol Inform, 2022, 290: 522-525. DOI:10.3233/SHTI220131
[19] Mohamed M, Mohamed N, Kim J G. Advancements in wearable EEG technology for improved home-based sleep monitoring and assessment: a review[J]. Biosensors, 2023, 13(12): 1019. DOI:10.3390/bios13121019
[20] Fang Y S, Xu J, Xiao X, et al. A deep-learning-assisted on-mask sensor network for adaptive respiratory monitoring[J]. Adv Mater, 2022, 34(24): 2200252. DOI:10.1002/adma.202200252
[21] Weaver R G, White J W, Finnegan O, et al. Predicting sleep and sleep stage in children using actigraphy and heartrate via a long short-term memory deep learning algorithm: a performance evaluation[J]. J Sleep Res, 2026, 35(1): e70149. DOI:10.1111/jsr.70149
[22] 张一彤, 李青香, 石争浩, 等. 阻塞性睡眠呼吸暂停儿童睡眠结构研究及睡眠结构判读模型建立[J]. 山东大学耳鼻喉眼学报, 2023, 37(6): 126-132. Zhang Yitong, Li Qingxiang, Shi Zhenghao, et al. Study on sleep structure and establishment of sleep structure interpretation model in children with obstructive sleep apnea[J]. Journal of Otolaryngology and Ophthalmology of Shandong University, 2023, 37(6): 126-132.
[23] Liu J J, Li S Q, Alhusaini N, et al. Millimeter-wave radar based sleep posture transition dataset: SPT[J]. Data Brief, 2025, 60: 111471. DOI:10.1016/j.dib.2025.111471
[24] 李晨洋, 王威, 黄炜峻, 等. 新型雷达设备诊断阻塞性睡眠呼吸暂停: 一项评价与多导睡眠监测等效性的平行对照研究[J]. 中华耳鼻咽喉头颈外科杂志, 2024, 59(8): 857-863. Li Chenyang, Wang Wei, Huang Weijun, et al. Diagnosis of obstructive sleep apnea by a new radar device: a parallel controlled study evaluating agreement with polysomnographic monitoring[J]. Chinese Journal of Otorhinolaryngology Head and Neck Surgery, 2024, 59(8): 857-863.
[25] 中国儿童OSA诊断与治疗指南制订工作组, 中华医学会耳鼻咽喉头颈外科学分会小儿学组, 中华医学会儿科学分会呼吸学组,等. 中国儿童阻塞性睡眠呼吸暂停诊断与治疗指南(2020)[J]. 中华耳鼻咽喉头颈外科杂志, 2020, 55(8): 729-747.
[26] 中国医师协会儿科医师分会儿童耳鼻咽喉专业委员会, 中国妇幼保健协会儿童变态反应专业委员会, 亚太医学生物免疫学会儿童耳鼻咽喉头颈外科分会. 儿童腺样体肥大临床诊治管理专家共识[J]. 中国实用儿科杂志, 2025, 40(2): 89-95.
[27] 深圳市医师协会等离子医疗专业委员会. 低温等离子射频消融术治疗儿童扁桃体、 腺样体肥大操作技术规范[J]. 临床耳鼻咽喉头颈外科杂志, 2023, 37(8): 593-604.
[28] 中华耳鼻咽喉头颈外科杂志编辑委员会鼻科组, 中华医学会耳鼻咽喉头颈外科学分会鼻科学组. 中国变应性鼻炎诊断和治疗指南(2022年,修订版)[J]. 中华耳鼻咽喉头颈外科杂志, 2022, 57(2): 106-129.
[29] 付勇, 刘佳, 李静, 等. 儿童慢性鼻窦炎的诊断和治疗中国专家共识(杭州, 2024)[J]. 临床耳鼻咽喉头颈外科杂志, 2024, 38(12): 1091-1099. Fu Yong, Liu Jia, Li Jing, et al. Expert consensus on the diagnosis and treatment of chronic sinusitis in children[J]. Journal of Clinical Otorhinolaryngology Head and Neck Surgery, 2024, 38(12): 1091-1099.
[30] 李辉, 季成叶, 宗心南, 等. 中国0~18岁儿童、青少年体块指数的生长曲线[J]. 中华儿科杂志, 2009, 47(7): 493-498. Li Hui, Ji Chengye, Zong Xinnan, et al. Body mass index growth carves for Chinese children and adolescents aged 0 to 18 years[J]. Chinese Journal of Pediatrics, 2009, 47(7): 493-498.
[31] 中国肥胖问题工作组, 季成叶. 中国学龄儿童青少年超重、肥胖筛查体重指数分类标准[J]. 中华流行病学杂志, 2004, 25(2): 10-15.
[32] Feng C, Yang Y, Chen L X, et al. Prevalence and characteristics of erectile dysfunction in obstructive sleep apnea patients[J]. Front Endocrinol, 2022, 13: 812974. DOI:10.3389/fendo.2022.812974
[33] Xian Z X, Wang X, Chen Y C, et al. Preliminary assessment of portable sleep monitoring for diagnosis of obstructive sleep apnea in children[J]. Sleep Breath, 2024, 28(1): 419-425.
[34] 郑跃杰, 申阿东, 徐保平, 等. 儿童脉搏血氧饱和度监测临床应用专家共识[J]. 中华实用儿科临床杂志, 2022, 37(23): 1761-1772. Zheng Yuejie, Shen Adong, Xu Baoping, et al. Expert consensus on clinical application of pulse oximetry in children[J]. Chinese Journal of Applied Clinical Pediatrics, 2022, 37(23): 1761-1772.
[35] Jabbaripour S, Saien S, Heidari R, et al. Performance of wrist-worn pulse oximeter for the screening of obstructive sleep apnea[J]. Iran J Otorhinolaryngol, 2024, 36(5): 603-612.
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