TY - JOUR
T1 - A screening algorithm for obstructive sleep apnea in pregnancy
AU - Izci-Balserak, Bilgay
AU - Bingqian Zhu, Zhu
AU - Gurubhagavatula, Indira
AU - Keenan, Brendan T.
AU - Pien, Grace W.
N1 - Publisher Copyright:
Copyright © 2019 by the American Thoracic Society.
PY - 2019/10
Y1 - 2019/10
N2 - 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 6 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.
AB - 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 6 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.
KW - OSA
KW - Prediction
KW - Screening
KW - Sensitivity
KW - Specificity
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U2 - 10.1513/AnnalsATS.201902-131OC
DO - 10.1513/AnnalsATS.201902-131OC
M3 - Article
C2 - 31162952
AN - SCOPUS:85072747669
SN - 2325-6621
VL - 16
SP - 1286
EP - 1294
JO - Annals of the American Thoracic Society
JF - Annals of the American Thoracic Society
IS - 10
ER -