Review Article

Mathematical Equations to Predict Positive Airway Pressures for Obstructive Sleep Apnea: A Systematic Review

Table 2

Study demographics and mathematical equations for studies from non-Asian countries. Definitions: %IBW = percent of ideal body weight, AHI = apnea-hypopnea index, BMI = body mass index (in kg/m2), CPAP = continuous positive airway pressure, cwp = centimeters of water pressure, ESS = Epworth Sleepiness Scale [71], HI = health index, Msat = mean saturation, nadir SaO2 = lowest oxygen saturation, NC = neck circumference, NR = not reported, Nsat = nadir saturation, ODI = oxygen desaturation index, PAP = positive airway pressure, Peff = effective pressure, Ppred = predicted pressure, pts = patients; RDI = respiratory disturbance index, spO2 = oxygen saturation, SSS = snoring severity score, USA = United States of America, and , , , and = coefficients based on artificial neural networks.

Study group, year, and countryNumber of pts
Development (D)
Validation (V)
Mean ageMean BMIMean AHIMathematical equationAccuracy of formula

Basoglu and Tasbakan (2012), Turkey [15]D = 250 
V = 130
52.3 ± 10.332.3 ± 5.356.7 ± 22.80.148 × NC + (0.038 × ODI)Within ±3 cwp in 96.2% of pts

Tofts et al. (2012), USA [58]D/V = 310NRNRNR5.55 + 0.05327 (HI) + 0.03276 (NC) + 0.03422 (AHI Crude) + 0.0005568 (AHI Supine)
+ 0.001110 (AHI REM) + 0.01301 (RDI)
Predicts 30% of the variability while being within ±2 cwp 74% of the time

Schiza et al. (2011), Greece [44]D/V = 111154.6 ± 10.6734.35 ± 6.0341.5 ± 20.16Men: 5.16 + (0.003 × smoking in pack years)
+ (0.054 × BMI) + (0.016 × AHI) − 0.403
Women: 5.16 + (0.003 × smoking in pack years) 
+ (0.054 × BMI) + (0.016 × AHI) − 0.806
Within ±2 cwp of the effective pressure in 95% of pts

Anees (2010), USA [63]V = 270.086 × BMI + 0.029 × SSS + 5.989 Within ±2 cwp of CPAP titration in 44%; 2 cwp higher than predicted in 37%

El Solh et al. (2007), USA [59]D = 311 
V = 98
49.6 ± 12.435 (34–37)33 (28–38)Correlation coefficients between the titration study and predicted pressure was 0.86. The equation underestimated optimal pressures

Loredo et al. (2007), USA [34]D/V = 7647.6 ± 9.831.3 ± 5.455.5 ± 31.3 RDI30.8 + 0.03 × RDI − 0.05 × NSAT − 0.2 × MSATEquation predicted 67% of the variance for Peff

Skomro et al. (2007), Canada [47]D/V = 18351 ± 1137 ± 846 ± 336.2 × [BMI × 0.11]Empiric CPAP pressure was suboptimal in 40% pts

Torre-Bouscoulet et al. (2007/2009), Mexico [50, 51]D/V = 10049 ± 11 34 ± 4≥30Men: (BMI × 0.09) + (ODI × 0.01) − (mean SpO2 × 0.06) + 11.9
Women: (BMI × 0.07) + (ESS × 0.1) + (ODI
× 0.02) + 5.33
Poor agreement between 95% APAP pressures and predictive equations. Equations were not successful

Panagou et al. (2005), Greece [64]D = 2651 ± 11.24.95 + (0.18 × AHI) − (0.133 × DI)No validation testing

Stradling et al. (2004), Britain [48, 49]D = 101 
V = 30
49.0 ± 10.536.5 ± 6.5(0.048 × 4% saO2 dips/h) + (0.128 × NC) + 2.1Considerable PAP variations from night to night. Similar results for APAP trial and CPAP titration

Rowley et al. (2005), USA [43]D = 224 
V = 192
50.5 ± 9.540.6 ± 8.832.0 ± 26.4(0.16 × BMI) + (0.13 × NC) + (0.04 × AHI) − 5.12Equation improves success rate of in lab titrations but equations were not as helpful for prescribing CPAP

Sériès (2000), Canada [45]D/V = 4046.1 ± 26.30.193 × BMI + 0.077 × NC + 0.02 × AHI − 0.611Home APAP titration successfully predict fixed CPAP in 95% of pts

Nahmias et al. (1995) [65]D/V = 4037.7 ± 3.38.7 + 0.028 ×  %IBW + 0.015 × RDI − 0.071
× nadir SaO2
In 73% of patients, the equation predicted CPAP ≥ CPAP titration study

Teschler et al. (1995), Germany [60]D = 77 
V = 180
55 ± 1030.9 ± 5.838 ± 211.95 + 0.80 × sex factor (men = 2, women = 1)
+ 0.09 × BMI + 0.01 × NC + 0.03 × AHI
Mean CPAP pressure was 9.1 ± 2.0 cwp and the predicted was 8.4 ± 3.6 cwp. In 51% of pts the difference was greater than ±1 cwp

Hoheisel and Teschler (1994), Germany [61](0.07 × NC) + (0.02 × BMI) + (0.03 × AHI) + 3.2Calculations were made to attempt to improve home prescriptions

Miljeteig and Hoffstein (1993), Canada [38]D = 208 
V = 129
50 ± 1134 ± 850 ± 31−5.12 + 0.13 × BMI + 0.16 × NC + 0.04 × AHIWithin ±2 cwp in 75% of pts. The equation accounted for 76% of the variability in CPAP