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(Hypertension. 2006;47:449.)
© 2006 American Heart Association, Inc.
Original Articles |
From the Department of Gynecology, Perinatology and Human Reproduction (E.P., R.C., G.S., G.M.), University of Florence; the Department of Medical and Surgical Sciences (A.L. M.G.D.), University of Padua; and the Metabolic Unit (G.P., A.M.), Institute of Biomedical Engineering, and Aging Branch (C.M.), Institute of Neuroscience, National Research Council, Padua, Italy.
Correspondence to Annunziata Lapolla, Dept of Medical and Surgical Sciences, University of Padua, Via Giustiniani n 2, 35100 Padova, Italy. E-mail annunziata.lapolla{at}unipd.it
| Abstract |
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Key Words: pregnancy metabolism insulin insulin resistance hypertension, pregnancy preeclampsia
| Introduction |
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3 may be responsible. A number of standard clinical procedures are available for evaluating maternal insulin sensitivity during pregnancy, such as the euglycemic-hyperinsulinemic clamp, the oral and intravenous glucose tolerance tests (OGTT and IVGTT, respectively), and various derivations of fasting glucose and insulin levels,1,4 including the fasting homeostasis model assessment insulin sensitivity index (ISHOMA)5 and the quantitative insulin sensitivity check index [ISQUICKI].6 The oral glucose insulin sensitivity index (OGIS), for instance, is a widely used index of dynamic insulin sensitivity by assessing glucose clearance during an OGTT.7
Preeclampsia is a complication of late pregnancy characterized mainly by hypertension and proteinuria.8 It is a major cause of perinatal and maternal morbidity and mortality worldwide, affecting 5% to 8% of all pregnancies.8 The etiology of this disease is still unknown, and there are multiple factors implicated in its pathogenesis, including genetic9 and immunological factors.9
Women with polycystic ovary syndrome or gestational diabetes mellitus (GDM), 2 disorders characterized by insulin resistance, are at greater risk of preeclampsia.10,11 In addition to hypertension,12 several features of insulin resistance syndrome, such as obesity,13 dyslipidemia,14 cardiovascular disease,15 systemic inflammation,16 and impaired fibrinolysis,17 are also associated with preeclampsia. Collectively, these data suggest that insulin resistance may contribute to the pathogenesis of preeclampsia, with the added considerable risk of diabetes and severe cardiovascular diseases.
High plasma glucose levels have been observed after a glucose load in pregnant women who subsequently exhibit preeclampsia,18 and high post-OGTT basal insulin levels are characteristic of women with preeclampsia.19,20 Not all studies describe a positive relationship between insulin resistance and preeclampsia, however21,22; this may be due to the fact that different methods have been used to assess insulin resistance and their outcome may not be consistent in pregnancy.
Thus, the aim of our study was to evaluate insulin sensitivity indexes in a large number of normotensive pregnant women with a normal glucose tolerance early and late in the pregnancy and to test the ability of these indexes to predict the risk of subsequent preeclampsia.
| Patients and Methods |
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140/90 mm Hg and proteinuria was
0.3 g in a 24-hour urine specimen taken after 20 weeks of gestation (American College of Obstetricians and Gynecologists criteria8). For the purposes of this study, only cases that developed preeclampsia in the interval between at least 2 weeks after the second glucose load and the first week after delivery were selected for the prediction of preeclampsia.
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Plasma glucose levels were measured using the glucose oxidase method25 and plasma insulin levels by using a double antibody radioimmunoassay.26 HOMA was calculated according to Matthews5: ISHOMA=G0xI0/22.5; QUICKI was calculated according to Katz6: ISQUICKI=1/[log(I0)+log(G0)], where G0 and I0 are fasting glucose and insulin concentrations. Both indexes describe fasting insulin sensitivity. Dynamic insulin sensitivity was evaluated by OGIS, a model-derived measurement of glucose clearance (mL/min per m2) during OGTT.7 Higher levels of ISHOMA and lower values of ISQUICKI and OGIS express insulin resistance. All these indexes have been validated against the glucose clamp.4
Statistical analysis was carried out using the SAS system (SAS Institute, Inc). Data and results are expressed as mean±SE or SD, as appropriate. The percentile distribution curve was processed for the insulin sensitivity indexes early and late in the pregnancy. Data were analyzed by Student t test for paired comparisons and the correlation test. A logistic regression model was used to assess risk factors in early and late periods of gestation. Any association between the variables was expressed by
2. The predictive power of the binary logistic regression was assessed by evaluating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and likelihood ratios (LR) for an abnormal test corresponding to a cut-off of 0.5.27 The receiver operating characteristic (ROC) curve was performed for the insulin sensitivity indexes (ISHOMA, early and late, ISQUICKI, early and late, and OGIS, early and late), to determine the index threshold value that yielded the highest combined sensitivity and specificity for the prediction of preeclampsia. The highest combinations of sensitivity and specificity correspond to ISHOMA >75th percentile (early and late), ISQUICKI <25th (early and late) and OGIS <25th (early and late) in the studied group. Statistical significance was set at P<0.05.
| Results |
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The curves and percentile distributions of the insulin sensitivity indexes calculated early and late in the pregnancy are shown in the Figure: the curves describe 2 near-parallel lines in both periods.
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Preeclampsia developed in 53 women (6.4%) in the interval between at least 2 weeks after the second glucose load and the first week after delivery.
The fasting insulin sensitivity indexes were very capable of predicting in both periods of pregnancy the subsequent development of preeclampsia, with a better and significant association (Table 3) with an ISHOMA value higher than the 75th percentile (1.38 in early and 1.72 in late pregnancy), an ISQUICKI below the 25th percentile (0.36 in early and 0.35 in late pregnancy), and a value for OGIS below the 25th percentile (498 in early and 485 in late pregnancy) (Figure). These values are confirmed by ROC curves (data not shown).
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The performance of the binary logistic regression to establish the insulin sensitivity index thresholds for predicting the subsequent onset of preeclampsia is shown in Table 4.
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| Discussion |
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Three prospective studies have suggested an association between insulin resistance and subsequent preeclampsia. Among black women, Sowers et al showed that fasting insulin levels rose significantly at 20 weeks of gestation in the women who ultimately developed preeclampsia.31 In a large prospective study involving more than 3600 women, Joffe et al reported that the increase in deciles of glucose levels during the 50-g oral glucose challenge test was matched by an associated greater risk of subsequent preeclampsia.32 In the third study, Wolf et al found that lower sex hormone binding globulin in the first trimester correlated negatively with insulin resistance in women subsequently developing preeclampsia compared with those whose pregnancy was uncomplicated.33
Preeclampsia is a common, hazardous complication of pregnancy, the mechanisms of which are still largely unknown and, because of our limited understanding of the biology of this disease, no effective preventive strategies have been identified as yet. In addition, there are currently no early diagnostic tests capable of identifying women at higher risk. Here, we show that a few simple insulin sensitivity indexes, such as ISHOMA and ISQUICKI, that only use fasting insulin and glucose concentration, can predict in early and late periods of pregnancy the subsequent development of preeclampsia. Although the dynamic OGTT index OGIS also showed a significant association with preeclampsia, it was weaker (0.03 and 0.01 in early and late gestation, respectively). For this reason it was not considered in the prediction of preeclampsia.
To our knowledge, this is the first study to demonstrate that fasting insulin sensitivity indexes (ISHOMA and ISQUICKI) can predict in early and late pregnancy the subsequent development of preeclampsia in lean normotensive women with a normal glucose tolerance. These indexes had already been validated in pregnant women, but only in a small group.34 In our experience, the performance of both indexes in early and late periods of pregnancy proved highly sensitive and specific, with a good PPV for the prediction of preeclampsia (Table 4). In particular, the high PPV of these indexes (especially considering the relatively low number of false-positives) already in the early gestational period suggests that they could be valuable in predicting preeclampsia, well before preeclampsia becomes clinically evident. One might argue that our study did not consider obese women, but we chose to exclude obese women to have a homogenous population and eliminate the recognized predisposing effect of obesity on the development of both preeclampsia and insulin resistance.8,10
Because insulin sensitivity indexes are continuous variables, and there is no fixed threshold for insulin resistance, we considered the percentile distribution curves for ISHOMA, ISQUICKI, and OGIS (Figure). Given the large number of patients assessed, this distribution can be used as a reference in our white population.
Perspectives
The strength of this study is that we found evidence of a greater insulin resistance early in pregnancy (16 to 20 weeks), before preeclampsia became clinically evident. This temporal relationship supports the hypothesis that insulin resistance is one of the causes of preeclampsia.33 It would be tempting to assume that improving insulin sensitivity might reduce the risk of preeclampsia. The specificity of the tests is a relevant issue to consider in this context: using these tests might reliably identify a population at low risk of developing preeclampsia.
It should be noted that the indexes used in this study meet the requirements of the ideal predictive test: they are simple and easy to perform early in pregnancy (16 to 20 weeks), they are noninvasive, and they are highly sensitive and have a high PPV for detecting the subsequent risk of preeclampsia in lean, normotensive, pregnant women with a normal glucose tolerance. Moreover, the tests could be considered as a tool for secondary prevention, enabling the disease process to be interrupted before any clinically recognizable disease (preeclampsia) occurs, thus allowing for both early treatment and preventive measures.
Furthermore, the gestational period examined in this study is before the time when most of the physiological insulin resistance of pregnancy occurs,35 so the insulin resistance that we detected may, in some cases, have already existed before the pregnancy. This has important future therapeutic implications. If preeclampsia is associated with a higher basal insulin resistance, then it is a potentially modifiable risk factor for the greater long-term cardiovascular risk observed in women with a history of preeclampsia.36
| Acknowledgments |
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Received May 26, 2005; first decision June 27, 2005; accepted January 11, 2006.
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