A Nomogram for Predicting the Likelihood of Obstructive Sleep Apnea to Reduce the Unnecess

A Nomogram for Predicting the Likelihood of

Obstructive Sleep Apnea to Reduce the Unnecessary Polysomnography Examinations

Miao Luo;Hai-Yan Zheng;Ying Zhang;Yuan Feng;Dan-Qing Li;Xiao-Lin Li;Jian-Fang Han

【期刊名称】《中华医学杂志（英文版）》 【年(卷),期】2015(128)016

【摘要】Background:The currently available polysomnography (PSG) equipments

and

operating

personnel

are

facing

increasing

pressure,such situation may result in the problem that a large number of obstructive sleep apnea (OSA) patients cannot receive timely diagnosis and treatment,we sought to develop a nomogram quantifying the risk of OSA for a better decision of using PSG,based on the clinical syndromes

and

the

demographic

and

anthropometric

characteristics.Methods:The nomogram was constructed through an ordinal

logistic

regression

procedure.Predictive

accuracy

and

performance characteristics were assessed with the area under the curve (AUC) of the receiver operating characteristics and calibration plots,respectively.Decision curve analyses were applied to assess the net benefit of the nomogram.Results:Among the 401 patients,73 (18.2％) were diagnosed and grouped as the none OSA (apnea-hypopnea index [AHI] ＜5),67 (16.7％) the mild OSA (5 ≤ AHI ＜ 15),82 (20.4％) the moderate OSA (15 ≤ AHI ＜ 30),and 179 (44.6％) the severe OSA (AHI ≥