A new algorithm combining subjective and objective measures to predict obstructive sleep apnea (OSA) in pregnant women was created using retrospectively analyzed data, according to a study published in the Annals of the American Thoracic Society.

Full polysomnography and results from the Multivariable Apnea Prediction Questionnaire from pregnant women during the first and third trimester were used along with Obstructive Sleep Apnea/Hypopnea Syndrome Score and Facco’s apnea predictive model to train an algorithm predicting OSA risk. Sensitivity and specificity of the resulting model were evaluated.