Literature DB >> 30935275

Clinical Prediction Model for Obstructive Sleep Apnea among Adult Patients with Habitual Snoring.

Hsin-Ching Lin1,2,3, Chi-Chih Lai1, Pei-Wen Lin2,4, Michael Friedman5,6, Anna M Salapatas6, Hsueh-Wen Chang7, Meng-Chih Lin2,8, Chien-Hung Chin2,8.   

Abstract

OBJECTIVE: To identify standard clinical parameters that may predict the presence and severity of obstructive sleep apnea/hypopnea syndrome (OSA).
DESIGN: Case series with chart review.
SETTING: Tertiary academic medical center. SUBJECTS AND METHODS: A total of 325 adult patients (274 men and 51 women; mean age, 44.2 years) with habitual snoring completed comprehensive polysomnography and anthropometric measurements, including modified Mallampati grade (also known as updated Friedman's tongue position [uFTP]), tonsil size grading, uvular length, neck circumference, waist circumference, hip circumference, and body mass index (BMI).
RESULTS: When the aforementioned physical parameters were correlated singly with the apnea/hypopnea index (AHI), we found that sex, uFTP, tonsil size grading, neck circumference, waist circumference, hip circumference, thyroid-mental distance, and BMI grade were reliable predictors of OSA. When all important factors were considered in a multiple stepwise regression analysis, an estimated AHI can be formulated by factoring sex, uFTP, tonsil size grading, and BMI grade as follows: -43.0 + 14.1 × sex + 12.8 × uFTP + 5.0 × tonsil size + 8.9 × BMI grade. Severity of OSA can be predicted with a receiver operating characteristic curve. Predictors of OSA can be further obtained by the "OSA score."
CONCLUSION: This study has distinguished the correlations between sex, uFTP, tonsil size, and BMI grade and the presence and severity of OSA. An OSA score might be beneficial in identifying patients who should have a full sleep evaluation.

Entities:  

Keywords:  OSA screening; obstructive sleep apnea/hypopnea syndrome; snoring

Year:  2019        PMID: 30935275     DOI: 10.1177/0194599819839999

Source DB:  PubMed          Journal:  Otolaryngol Head Neck Surg        ISSN: 0194-5998            Impact factor:   3.497


  6 in total

Review 1.  Utility of the modified Mallampati grade and Friedman tongue position in the assessment of obstructive sleep apnea.

Authors:  Jason L Yu; Ilene Rosen
Journal:  J Clin Sleep Med       Date:  2020-01-13       Impact factor: 4.062

2.  High Tongue Position is a Risk Factor for Upper Airway Concentric Collapse in Obstructive Sleep Apnea: Observation Through Sleep Endoscopy.

Authors:  Chen Zhao; Alonço Viana; Yifei Ma; Robson Capasso
Journal:  Nat Sci Sleep       Date:  2020-10-19

3.  Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea.

Authors:  Xiangru Yan; Liying Wang; Chunguang Liang; Huiying Zhang; Ying Zhao; Hui Zhang; Haitao Yu; Jinna Di
Journal:  Front Neurosci       Date:  2022-08-05       Impact factor: 5.152

Review 4.  Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review.

Authors:  Daniela Ferreira-Santos; Pedro Amorim; Tiago Silva Martins; Matilde Monteiro-Soares; Pedro Pereira Rodrigues
Journal:  J Med Internet Res       Date:  2022-09-30       Impact factor: 7.076

5.  The predictive value of photogrammetry for obstructive sleep apnea.

Authors:  Shuai He; Yanru Li; Wen Xu; Dan Kang; Hongguang Li; Chunyan Wang; Xiu Ding; Demin Han
Journal:  J Clin Sleep Med       Date:  2021-02-01       Impact factor: 4.062

6.  The correlation between neck circumference and risk factors in patients with hypertension: What matters.

Authors:  Yudan Zhang; Haixia Wu; Yilian Xu; Huang Qin; Cuizhen Lan; Wenzhen Wang
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

  6 in total

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