Scartabelli Giovanna, Querci Giorgia, Marconi Letizia, Ceccarini Giovanni, Piaggi Paolo, Fierabracci Paola, Salvetti Guido, Cizza Giovanni, Mazzeo Salvatore, Vitti Jacopo, Berger Slava, Palla Antonio, Santini Ferruccio
Obesity Center, Endocrinology Unit, University Hospital of Pisa, Pisa, Italy.
Pulmonary Unit, University of Hospital of Pisa, Pisa, Italy.
Front Endocrinol (Lausanne). 2018 Jun 6;9:293. doi: 10.3389/fendo.2018.00293. eCollection 2018.
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is frequently present in patients with severe obesity, but its prevalence especially in women is not well defined. OSAHS and non-alcoholic fatty liver disease are common conditions, frequently associated in patients with central obesity and metabolic syndrome and are both the result of the accumulation of ectopic fat mass. Identifying predictors of risk of OSAHS may be useful to select the subjects requiring instrumental sleep evaluation. In this cross-sectional study, we have investigated the potential role of hepatic left lobe volume (HLLV) in predicting the presence of OSAHS. OSAHS was quantified by the apnea/hypopnea index (AHI) and oxygen desaturation index in a cardiorespiratory inpatient sleep study of 97 obese women [age: 47 ± 11 years body mass index (BMI): 50 ± 8 kg/m]. OSAHS was diagnosed when AHI was ≥5. HLLV, subcutaneous and intra-abdominal fat were measured by ultrasound. After adjustment for age and BMI, both HLLV and neck circumference (NC) were independent predictors of AHI. OSAHS was found in 72% of patients; HLLV ≥ 370 cm was a predictor of OSAHS with a sensitivity of 66%, a specificity of 70%, a positive and negative predictive values of 85 and 44%, respectively (AUC = 0.67, < 0.005). A multivariate logistic model was used including age, BMI, NC, and HLLV (the only independent predictors of AHI in a multiple linear regression analyses), and a cut off value for the predicted probability of OSAHS equal to 0.7 provided the best diagnostic results (AUC = 0.79, < 0.005) in terms of sensitivity (76%), specificity (89%), negative and positive predictive values (59 and 95%, respectively). All patients with severe OSAHS were identified by this prediction model. In conclusion, HLLV, an established index of visceral adiposity, represents an anthropometric parameter closely associated with OSAHS in severely obese women.
阻塞性睡眠呼吸暂停低通气综合征(OSAHS)在重度肥胖患者中很常见,但其患病率尤其是在女性中的患病率尚不明确。OSAHS和非酒精性脂肪性肝病是常见病症,在中心性肥胖和代谢综合征患者中经常同时出现,且都是异位脂肪堆积的结果。识别OSAHS风险的预测因素可能有助于选择需要进行仪器睡眠评估的受试者。在这项横断面研究中,我们研究了肝左叶体积(HLLV)在预测OSAHS存在方面的潜在作用。在一项对97名肥胖女性[年龄:47±11岁,体重指数(BMI):50±8kg/m²]进行的心肺住院患者睡眠研究中,通过呼吸暂停/低通气指数(AHI)和氧饱和度下降指数对OSAHS进行量化。当AHI≥5时诊断为OSAHS。通过超声测量HLLV、皮下脂肪和腹内脂肪。在调整年龄和BMI后,HLLV和颈围(NC)都是AHI的独立预测因素。72%的患者被发现患有OSAHS;HLLV≥370cm³是OSAHS的一个预测因素,敏感性为66%,特异性为70%,阳性和阴性预测值分别为85%和44%(曲线下面积[AUC]=0.67,P<0.005)。使用多变量逻辑模型,包括年龄、BMI、NC和HLLV(在多元线性回归分析中AHI的唯一独立预测因素),OSAHS预测概率的截断值等于0.7时,在敏感性(76%)、特异性(89%)、阴性和阳性预测值(分别为59%和95%)方面提供了最佳诊断结果(AUC=0.79,P<0.005)。所有重度OSAHS患者均通过该预测模型得以识别。总之,HLLV作为一个既定的内脏肥胖指标,是与重度肥胖女性OSAHS密切相关的人体测量参数。