Comparisons of obstructive - central respiratory events with body mass index and neck-waist circumference measurements according to gender in patients with obstructive sleep apnea syndrome.
The aim of this study was to obtain additional data in the definition of phenotypes of Obstructive Sleep Apnea Syndrome (OSAS) by comparing the body mass index (BMI) and neck and waist circumference( NC and WC) measurements with polysomnography (PSG) findings in patients with OSAS.
This retrospective study included 150 patients diagnosed with OSAS. The sociodemoographic data, comorbidities, PSG data (apnea-hypopnea index [AHI], obstructive apnea, central apnea, mixed apnea, obstructive hypopnea, central hypopnea, mixed hypopnea index, rapid eye movement [REM] AHI, supine AHI, minimum oxygen saturation), Epworth Sleepiness Scale (ESS), and Mallampati types were analyzed. The PSG data were compared in males and females according to BMI and NC and WC measurements.
In female patients with NC > 40 cm, the highest obstructive apnea index and AHI values (p = 0.009; p < 0.01, p = 0.030; p < 0.05) and the lowest O2 saturation values (p = 0.049; p < 0.05) were seen to be statistically significant. In females with BMI of 25-30, Mallampati 3 was seen at the highest rate, and the highest rates of central apnea and mixed apnea index values were determined in this group (p = 0.018; p < 0.05, p = 0.038; p < 0.05). In males with NC > 43 cm, the AHI, obstructive apnea-hypopnea index, and REM-supine AHI values were highest (p < 0.01 for all), and the lowest O2 saturation values were seen in this group (p = 0.009; p < 0.01). In males with WC > 102 cm, the highest AHI, obstructive apnea-hypopnea, and supine AHI values were determined (p = 0.042; p < 0.05; p = 0.042; p < 0.05; p = 0.002; p < 0.01; p = 0.016; p < 0.05), and the lowest O2 saturation values (p = 0.001; p < 0.01) at levels of statistical significance.
The NC, WC, and BMI values were determined to be correlated with AHI in males but not in females. In females with BMI of 25-30, elevated central apnea and mixed apnea index values were a noticeable finding. The airway in these patients was determined to be narrower, and NC in females was related to supine AHI. It is thought that these findings could be helpful in the identification of OSAS phenotypes according to anthropometric measurements.
This retrospective study included 150 patients diagnosed with OSAS. The sociodemoographic data, comorbidities, PSG data (apnea-hypopnea index [AHI], obstructive apnea, central apnea, mixed apnea, obstructive hypopnea, central hypopnea, mixed hypopnea index, rapid eye movement [REM] AHI, supine AHI, minimum oxygen saturation), Epworth Sleepiness Scale (ESS), and Mallampati types were analyzed. The PSG data were compared in males and females according to BMI and NC and WC measurements.
In female patients with NC > 40 cm, the highest obstructive apnea index and AHI values (p = 0.009; p < 0.01, p = 0.030; p < 0.05) and the lowest O2 saturation values (p = 0.049; p < 0.05) were seen to be statistically significant. In females with BMI of 25-30, Mallampati 3 was seen at the highest rate, and the highest rates of central apnea and mixed apnea index values were determined in this group (p = 0.018; p < 0.05, p = 0.038; p < 0.05). In males with NC > 43 cm, the AHI, obstructive apnea-hypopnea index, and REM-supine AHI values were highest (p < 0.01 for all), and the lowest O2 saturation values were seen in this group (p = 0.009; p < 0.01). In males with WC > 102 cm, the highest AHI, obstructive apnea-hypopnea, and supine AHI values were determined (p = 0.042; p < 0.05; p = 0.042; p < 0.05; p = 0.002; p < 0.01; p = 0.016; p < 0.05), and the lowest O2 saturation values (p = 0.001; p < 0.01) at levels of statistical significance.
The NC, WC, and BMI values were determined to be correlated with AHI in males but not in females. In females with BMI of 25-30, elevated central apnea and mixed apnea index values were a noticeable finding. The airway in these patients was determined to be narrower, and NC in females was related to supine AHI. It is thought that these findings could be helpful in the identification of OSAS phenotypes according to anthropometric measurements.