New Predictive Equation for Optimal Continuous Positive Airway Pressure in Adult Patients with Obstructive Sleep Apnea
DOI:
https://doi.org/10.31584/jhsmr.2021834Keywords:
continuous positive airway pressure, obstructive sleep apnea, optimal pressure, predictive equation, sleep apneaAbstract
Objective: This study aimed to develop and validate a new continuous positive airway pressure (CPAP) prediction equation and compare it with other formulas.
Material and Methods: We retrospectively included patients with obstructive sleep apnea who underwent a CPAP titration study between January 2012 and December 2016. All clinical and polysomnographic data were collected. The new prediction equation was developed using the first data set, and the predictability performance was validated using the second data set.
Results: Among the 266 enrolled patients, 73.7% were male, and the mean body mass index (BMI) was 30.8 7.4 kg/m2. Five variables, namely age, BMI, neck circumference (NC), apnea–hypopnea index (AHI), and minimum pulse oxygen saturation (Min SpO2), highly correlated with the optimal titration pressure, and were therefore included in the equation, as stated below:
Predicted pressure (cm H2O) = 2.26 + (0.02xAge) + (0.04xBMI) + (0.11xNC) + (0.04xAHI) - (0.04xMin SpO2)
This equation accounted for 54.4% of the variance in predicting the optimal titration pressure (R2=0.544, p-value<0.001). Its optimal estimation was 62.0% in the validated group. The equation-derived predicted pressure correlated with good agreement with the laboratory-derived optimal titration pressure (r=0.70, 95% CI=0.6335–0.755, p-value<0.001) according to Bland–Altman analysis.
Conclusion: Our equation is highly consistent with the CPAP titration study in predicting fixed CPAP pressure, and is thereby beneficial for sleep technicians in establishing a starting pressure for such studies at a sleep laboratory.
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