中华医学杂志
中華醫學雜誌
중화의학잡지
National Medical Journal of China
2015年
14期
1070-1073
,共4页
杨旭斌%朱延华%骆斯慧%陈琳%严晋华%曾龙驿%许雯%翁建平
楊旭斌%硃延華%駱斯慧%陳琳%嚴晉華%曾龍驛%許雯%翁建平
양욱빈%주연화%락사혜%진림%엄진화%증룡역%허문%옹건평
代谢综合征%葡糖耐量试验%血糖
代謝綜閤徵%葡糖耐量試驗%血糖
대사종합정%포당내량시험%혈당
Metabolic syndrome%Glucose tolerance test%Blood glucose
目的 探讨糖耐量正常的代谢综合征人群的血糖特点.方法 2009年6至12月中山大学附属第三医院40例健康体检者经口服葡萄糖耐量试验(OGTT)诊断均为正常糖耐量(NGT),依据代谢综合征诊断标准分为代谢综合征组(MetS组,12例)和非代谢综合征组(N-MetS组,28例)并进行动态血糖监测.本研究通过中山大学附属第三医院伦理委员会批准.结果 MetS组与N-MetS组空腹血糖、OGTT 2 h血糖和糖化血红蛋白差异无统计学意义.MetS组血糖波动指标值较N-MetS组升高,其中日内平均血糖漂移幅度(MAGE)差异有统计学意义[(2.12±0.92) mmol/L与(1.50±0.68) mmol/L,P=0.02].Logistic回归分析显示MAGE与代谢综合征具有相关性(OR=2.74,95%CI:1.08 ~6.97,P=0.03).结论 与不合并代谢综合征的NGT者相比,合并代谢综合征的NGT者血糖波动幅度升高,MAGE可能是描述该人群血糖代谢状况更为合适的指标.
目的 探討糖耐量正常的代謝綜閤徵人群的血糖特點.方法 2009年6至12月中山大學附屬第三醫院40例健康體檢者經口服葡萄糖耐量試驗(OGTT)診斷均為正常糖耐量(NGT),依據代謝綜閤徵診斷標準分為代謝綜閤徵組(MetS組,12例)和非代謝綜閤徵組(N-MetS組,28例)併進行動態血糖鑑測.本研究通過中山大學附屬第三醫院倫理委員會批準.結果 MetS組與N-MetS組空腹血糖、OGTT 2 h血糖和糖化血紅蛋白差異無統計學意義.MetS組血糖波動指標值較N-MetS組升高,其中日內平均血糖漂移幅度(MAGE)差異有統計學意義[(2.12±0.92) mmol/L與(1.50±0.68) mmol/L,P=0.02].Logistic迴歸分析顯示MAGE與代謝綜閤徵具有相關性(OR=2.74,95%CI:1.08 ~6.97,P=0.03).結論 與不閤併代謝綜閤徵的NGT者相比,閤併代謝綜閤徵的NGT者血糖波動幅度升高,MAGE可能是描述該人群血糖代謝狀況更為閤適的指標.
목적 탐토당내량정상적대사종합정인군적혈당특점.방법 2009년6지12월중산대학부속제삼의원40례건강체검자경구복포도당내량시험(OGTT)진단균위정상당내량(NGT),의거대사종합정진단표준분위대사종합정조(MetS조,12례)화비대사종합정조(N-MetS조,28례)병진행동태혈당감측.본연구통과중산대학부속제삼의원윤리위원회비준.결과 MetS조여N-MetS조공복혈당、OGTT 2 h혈당화당화혈홍단백차이무통계학의의.MetS조혈당파동지표치교N-MetS조승고,기중일내평균혈당표이폭도(MAGE)차이유통계학의의[(2.12±0.92) mmol/L여(1.50±0.68) mmol/L,P=0.02].Logistic회귀분석현시MAGE여대사종합정구유상관성(OR=2.74,95%CI:1.08 ~6.97,P=0.03).결론 여불합병대사종합정적NGT자상비,합병대사종합정적NGT자혈당파동폭도승고,MAGE가능시묘술해인군혈당대사상황경위합괄적지표.
Objective To explore the characteristics of glycemic variability in normal glucose tolerance (NGT) subjects with metabolic syndrome (MetS).Methods A total of 40 NGT subjects diagnosed by oral glucose tolerance test (OGTT) were divided into two groups of metabolic syndrome (MetS) or without MetS (Non-MetS) according to the National Cholesterol Education Program-Adult Treatment Panel Ⅲ (NCEP-ATP Ⅲ) criteria.Fasting blood glucose (FBG),OGTT 2 h blood glucose (2 h BG),hemoglobin A1c (HbA1c) and glycemic variability were assessed.Glycemic variability was assessed by calculating standard deviation of MBG (SDBG),mean amplitude of glycemic excursions (MAGE),largest amplitude of glycemic excursions (LAGE) and means of daily differences (MODD) from the 72 h data of continuous glucose monitoring system (CGMS) in real life.The time of diurnal glycemic variability was also calculated.Results No significant inter-group difference existed in FBG,2 h BG or HbA1c.Glycemic variability was higher in MetS than that in Non-MetS group.But only MAGE (2.12 ± 0.92 vs 1.50 ± 0.68 mmol/L,P =0.02) showed significant inter-group difference.Logistic regression analysis revealed that MAGE was significantly correlated with MetS (OR =2.74,95% CI:1.08-6.97,P =0.03) and independently from FBG,PBG,HbA1c and other glycemic variability indices.Conclusions Glycemic variability increases in NGT subjects with MetS.And MAGE may better describe the population's glucose metabolism.