Metabolic syndrome and risk of pulmonary involvement
Metabolic syndrome and risk of pulmonary involvement
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DOI：
10.1016/j.rmed.2009.08.009
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发表时间：
2010-01-01
影响因子：
4.3
通讯作者：
Cazzola, Mario
中科院分区：
文献类型：
--
作者：
Rogliani, Paola;Curradi, Giacomo;Cazzola, Mario
代谢综合征（MS）是一种临床公认的复杂疾病，表现为腹部肥胖、甘油三酯升高、动脉粥样硬化性血脂异常、血压升高、高血糖和/或胰岛素抵抗。它与促血栓形成和促炎症状态有关。越来越多的证据表明，在中度气流模仿的社区中，个体可能同时存在这种背景的全身性炎症。因此，我们通过FEV1和FVC损伤来评估237例代谢紊乱患者是否伴有功能性肺受累。鉴别多发性硬化症的标准包括以下三项或三项以上：腰围（男性>02cm，女性> 88cm），甘油三酯水平（>= 150mg /dl），高密度脂蛋白胆固醇水平（= 85mmhg），空腹血糖水平（> 100mg /dl）。119例患者诊断为MS，非吸烟者MS患者肺量测定值较低，通气限制性多于阻塞性。吸烟的MS患者FEV1和FVC也有谐波下降的趋势，但FEV1/FVC比值没有变化，但变化没有达到统计学意义。主要是腹围和胰岛素抵抗作为FEV1和FVC变化的独立预测因子。然而，HDL-C是FEV1和FVC变化的最强预测因子，呈负相关。2009爱思唯尔有限公司版权所有。
Metabolic syndrome (MS) is a complex disorder recognized clinically by the findings of abdominal obesity, elevated triglycerides, atherogenic dyslipidaemia, elevated blood pressure, high blood glucose and/or insulin resistance. It is associated with a pro-thrombotic and a pro-inflammatory state. A growing body of evidence suggests that individuals in the community with moderate airflow (imitation may have co-existing systemic inflammation with this background. Therefore, we examined a population of 237 patients with metabolic disorder for the concomitant presence of functional pulmonary involvement, as assessed by FEV1 and FVC impairment. Criteria for the identification of the MS included 3 or more of the following: waist circumference: (>102 cm in men, >88 cm in women), triglycerides levels (>= 150 mg/dl), high-density lipoprotein cholesterol levels (= 85 mm Hg), and fasting glucose levels (>100 mg/dl). 119 subjects were diagnosed MS. Non-smokers patients suffering from MS presented lower spirometric values, with a trend to ventilatory restrictive more than obstructive pattern. Also in smokers patients with MS there was a trend to harmonic decrease in FEV1 and FVC but not in FEV1/FVC ratio, although the changes did not reach statistical significance. Mainly abdominal circumference, and also insulin resistance were retained as independent predictors of both FEV1 and FVC changes. However, HDL-C was the strongest predictor of FEV1 and FVC changes, with an inverse association. (C) 2009 Elsevier Ltd. All rights reserved.