A Screening Algorithm for Obstructive Sleep Apnea in Pregnancy

被引:27
作者
Izci-Balserak, Bilgay [1 ]
Zhu, Bingqian [1 ,2 ]
Gurubhagavatula, Indira [3 ,4 ]
Keenan, Brendan T. [3 ]
Pien, Grace W. [5 ]
机构
[1] Univ Illinois, Coll Nursing, Dept Biobehav Hlth Sci, 845 S Damen Ave, Chicago, IL 60612 USA
[2] Shanghai Jiao Tong Univ, Sch Nursing, 227 S Chongqing Rd, Shanghai 200025, Peoples R China
[3] Univ Penn, Perelman Sch Med, Ctr Sleep & Circadian Neurobiol, Philadelphia, PA 19104 USA
[4] Univ Penn, Perelman Sch Med, Div Sleep Med, Philadelphia, PA 19104 USA
[5] Johns Hopkins Univ, Sch Med, Baltimore, MD USA
基金
美国国家卫生研究院;
关键词
OSA; prediction; screening; sensitivity; specificity; UPPER AIRWAY; RISK-FACTORS; SCALE; PREVALENCE; DISORDERS; SYMPTOMS; WOMEN; SIZE;
D O I
10.1513/AnnalsATS.201902-131OC
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Rationale: Obstructive sleep apnea (OSA) is common in pregnancy and associated with maternal and fetal complications. Early detection of OSA may have important implications for maternal-fetal well-being. A screening tool combining several methods of assessment may better predict OSA among pregnant women compared with tools that rely solely on self-reported information. Objectives: To develop a screening tool combining subjective and objective measures to predict OSA in pregnant women. Methods: This study is a secondary analysis using data collected from a completed cohort of pregnant women (n =121 during the first and n = 87 during the third trimester). Participants underwent full polysomnography and completed the Multivariable Apnea Prediction Questionnaire. The Obstructive Sleep Apnea/Hypopnea Syndrome Score and Facco apnea predictive model were obtained. Logistic regression analysis and area under the curve (AUC) were used to identify models predicting OSA risk. Results: Participants' mean age was 27.4 +/- 7.0 years. The prevalence of OSA during the first and third trimester was 10.7% and 24.1%, respectively. The final model predicting OSA risk consisted of body mass index, age, and presence of tongue enlargement. During the first trimester, the AUC was 0.86 (95% confidence interval [CI], 0.76-0.96). During the third trimester, the AUC was 0.87 (95% CI, 0.77-0.96). When the first-trimester data were used to predict third-trimester OSA risk, the AUC was 0.87 (95% CI, 0.77-0.97). This model had high sensitivity and specificity when used during both trimesters. The negative posttest probabilities (probability of OSA given a negative test result) ranged from 0.03 to 0.07. Conclusions: A new model consisting of body mass index, age, and presence of tongue enlargement provided accurate screening of OSA in pregnant women, particularly African-Americans. This tool can be easily and rapidly administered in busy clinical practices without depending on patients' awareness of experiencing apnea symptoms.
引用
收藏
页码:1286 / 1294
页数:9
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