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7A.05: VISCERAL FAT LEVEL DETERMINED USING THE BIOELECTRICAL IMPEDANCE AS A METHOD TO ASSESS OBSTRUCTIVE SLEEP APNEA RISK.

OBJECTIVE: To determine of visceral fat level (VFL) can be used as the obstructive sleep apnea syndrome (OSAS) severity predictor. To compare the diagnostic value of visceral fat determination and other anthropometric data and indexes.

DESIGN AND METHOD: The study involved 62 patients (26 women and 36 men) mean aged 52.78 ± 10.69 years with the II-III stage of arterial hypertension, 1-3 degrees. The first group included 22 patients with mild OSAS (apnea-hypopnea index (AHI) < 15), the second - 40 patient with moderate and severe OSA (AHI = 15 and AHI > 15). The cardiopulmonary monitoring was performed to confirm the diagnosis and to clarify the severity of OSA. The screening system ApneaLink (ResMed, Germany) was used. A non-stretchable measuring tape was used to measure waist and hip circumferences (WC and HC). The smallest abdominal circumference between the lowest rib and the iliac crest was used as WC. Waist to hip ratio (WHR) was calculated by dividing WC by the HC at the level of greater trochanters. Body mass index (BMI) is person's body mass divided by the square of his height being given in units of kg/m. VFL was measured using Omron BF 508 (Netherlands) and the method of bioelectrical impedance.

RESULTS: In group 1 WC was significantly lower than in group 2 (107.52 ± 16.75 and 120.90 ± 16.7, Ð-0.004). Similar results were obtained for HC (113.23 ± 17.53 and 122.76 ± 16.79, p = 0.016), WHR (0.95 ± 0.09 and 0.98 ± 0.07, p = 0.048) and BMI (35.57 ± 7.59 and 39.62 ± 8.66, p = 0.033), respectively. VFL depended on AHI directly (r = 0.39, p = 0.014). VFL in group 2 was higher than in group 1 (13.91 ± 4.15 and 17.04 ± 5.14, p = 0.04). Besides, VFL linked with WC and WHR directly in both groups (p < 0.05). Thus, both the elevation of WC, HC, BMI, WHR or VFL leads to the OSAS severity increasing.

CONCLUSIONS: The detection of VFL using bioelectrical impedance can be used to determine OSAS risk as well as other known anthropometric data and indexes.

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