Abstract

The most effective therapy defined for the patients with obstructive sleep apnea syndrome (OSAS) is the continuous positive airway pressure (CPAP). In this study, we aimed to construct a CPAP prediction formula in Turkish population in order to decrease the requirements for polysomnography (PSG) laboratories. The demographic features, age, gender, weight and height of the participants were recorded at the first visit, together with the neck, waist and hip circumferences. Epworth Sleepiness Scale (ESS) was used to evaluate the levels of daytime sleepiness. All patients underwent at least two PSG studies. In a total of 269 patients with a mean age of 53.42 ±13.32 years were included in the study. In step-wise multiple regression analysis; BMI, AHI, ARI, and neck circumference were the independent predictors of CPAP. A new formula was developed using these values: CPAP pred: (BMI X 0.138) + (AHI X 0.044) + (ARI X 0.056) +(NECK X 0.151) -6.180. The mean CPAP was 7.70 ±2.48 and the mean CPAP pred was 7.71 ±1.53. When the mean CPAP and CPAP pred values were compared, there was not a significant difference with a p value of 0.846. There was a significant correlation between CPAP and CPAP pred values (p:0.001 and r:0.613). We determined that, predicting CPAP with high accuracy may be possible with formulations. These formulations are important in order to reduce the requirements for repeated PSG. Further, larger, prospective studies are required to increase the accuracy of CPAP predicting formulas.