GESTATIONAL DIABETES - PREDICTORS OF SUBSEQUENT DISORDERED GLUCOSE-METABOLISM
GESTATIONAL DIABETES - PREDICTORS OF SUBSEQUENT DISORDERED GLUCOSE-METABOLISM
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DOI：
10.1016/0002-9378(93)90358-p
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发表时间：
1993-04-01
影响因子：
9.8
通讯作者：
CARR, SR
中科院分区：
文献类型：
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作者：
COUSTAN, DR;CARPENTER, MW;CARR, SR
目的：我们测试了这一假设，即妊娠期糖尿病后糖代谢异常的发展可以很容易地预测通过现有的临床variables.Study Design：350名非妊娠前妊娠期糖尿病妇女在过去的10年中交付进行葡萄糖耐量试验。变量包括指数妊娠前的体重指数、妊娠葡萄糖耐量试验值、妊娠期糖尿病治疗、并发症、诊断妊娠期糖尿病时的孕龄和妊娠后的时间均采用logistic回归分析。区分后来发展为糖尿病或糖耐量受损的受试者的变量包括孕前体重指数（28.5 +/- 7 vs 25 +/- 5 kg/m2，p < 0.001）和妊娠口服葡萄糖耐量试验的空腹血糖（109 +/- 20 vs 92 +/- 15 mg/dl，p < 0.001）。Logistic回归分析结果表明，这两个变量加上首次妊娠后的时间，可通过以下公式预测随后的葡萄糖耐量试验异常：估计风险= 1/[1 + e-1]。（-10.37 +0.04 {空腹血糖}+0.08 {体重指数}+0.03 {分娩后月数}）]。妊娠期糖尿病患者随后发生血糖异常的风险可以根据妊娠期体重指数和空腹血糖进行量化。
OBJECTIVE: We tested the hypothesis that the development of abnormal glucose metabolism after gestational diabetes can be predicted readily by means of available clinical variables.STUDY DESIGN: Three hundred fifty nonpregnant former gestational diabetic women delivered during the previous 10 years underwent glucose tolerance tests. Variables including body mass index before the index pregnancy, pregnancy glucose tolerance test values, gestational diabetes treatment, complications, gestational age at diagnosis of gestational diabetes, and time elapsed since pregnancy were analyzed with logistic regression.RESULTS: Variables that distinguished subjects who later developed diabetes or impaired glucose tolerance included prepregnancy body mass index (28.5 +/- 7 versus 25 +/- 5 kg/m2, p < 0.001) and fasting glucose on the pregnant oral glucose tolerance test (109 +/- 20 vs 92 +/- 15 mg/dl, p < 0.001). Logistic results with these two variables plus time since the index pregnancy predict subsequent glucose tolerance test abnormality by the following equation: estimated risk = 1/[1 + e-(-10.37 + 0.04 {fasting plasma glucose} + 0.08 {body mass index} + 0.03 {month since delivery})].CONCLUSION: The risk for subsequent glucose abnormality among individuals with prevous gestational diabetes is quantifiable based on prepregant body mass index and fasting plasma glucose during pregnancy.