Preeclampsia is a devastating pregnancy specific condition that can result in adverse maternal or fetal outcomes including preterm delivery, very low birth weight, or maternal-fetal demise. In addition, preeclampsia is a heterogeneous multisystem disorder with simple defining symptoms that do not adequately represent the complex nature of the syndrome. The clinical presentation of preeclampsia is often secondary to one or more maternal risk factors such as obesity, advanced maternal age or history of hypertension at the onset of pregnancy. Given the increasing prevalence of these risk factors in the general population, the rates of preeclampsia are likely to continue rising in the coming years.
Preeclampsia is often considered in two discrete phases 1) a silent stage of abnormal placental development and function with no overt symptoms and 2) a symptomatic stage of endothelial dysfunction, hypertension and abnormal cardio-renal function likely due to excess production of circulating inflammatory and vasoactive factors, largely of placental origin. To this end, there has been a significant interest in identifying factor(s) that presage clinical onset of the disease and prove useful as biomarkers or therapeutic targets. Molecules that have captured the attention of basic and clinical researchers in recent years are the anti-angiogenic factor soluble fms-like tyrosine kinase-1 (sFlt-1) and the pro-angiogenic placental growth factor (PlGF) and vascular endothelial growth factor (VEGF). The hypothesis that an imbalance in pro- and anti-angiogenic factors plays an important role in the pathophysiology of preeclampsia was initially championed by the Karumanchi lab with their elegantly designed seminal studies that employed in vitro experiments and the development of an animal model of preeclampsia to substantiate findings from a clinical cohort (1). Data from their sFlt-1 adenoviral overexpression model supported their clinical observations and clearly showed excess circulating sFlt-1 caused endothelial dysfunction and hypertension (1). These studies along with subsequent clinical and basic science work by others (1–3) established the important role of anti-angiogenic factors in the pathophysiology of preeclampsia.
More recently, considerable focus has been shifted towards determining the utility of assays for these molecules alone or in combination to generate algorithms for the clinical diagnosis or prediction of preeclampsia (3;4). Previous work by Ohkuchi et al. helped identify thresholds for sFlt-1/PlGF ratio that would signal the imminent onset of preeclampsia when blood samples were obtained between 19–31 weeks of gestation (4;5). The work put forth by Verlohren et al. (6) in the current issue of Hypertension builds on the previous studies by Ohkuchi et al. (4;5) by employing cut-offs at two different gestational phases in an effort to provide improved diagnostic accuracy of data obtained from the sFlt-1 and PlGF assays.
In uncomplicated pregnancies the sFlt-1/PlGF ratio remains fairly constant in mid-pregnancy and then begins to increases in the last trimester (4–6). The present study by Verlohren and colleagues nicely demonstrates that an increase in this ratio before thirty-four weeks of gestation has high sensitivity and specificity to predict the occurrence of preeclampsia in their European cohort; 95% and 94% respectively for a cut-off of 33. However, sFlt-1/PlGF ratios after 34 weeks in preeclamptic pregnancies are not as informative because of the increase in these ratios during uncomplicated pregnancy (4,5,7). Moreover, the similarities of values in late onset preeclampsia to those in uncomplicated pregnancies suggest that alternative or parallel pathways other than angiogenic balance may contribute to hypertension in late-onset preeclampsia. As the authors acknowledge in their present work (6) for combined late gestational phase, the predictive power of sFlt-1/PlGF is limited, with sensitivity only 58% for a diagnostic test achieving 95% specificity even with a cut-off of 110. Repositioning the sFlt-1/PlGF cutoff for late gestational phase to 110 improves sensitivity but does not achieve a sensitive diagnostic test.
In contrast to Verlohren's approach in the present study (6) that determines cutoffs for grouped mid- and grouped late gestational phases, modeling continuous trends will give more accurate age specific predictions. Ohkuchi et al. 2011 modeled the continuous change in relationships across gestational ages in developing their onset and abnormal thresholds, i.e. lower bounds from preeclampsia and upper bounds from non-preeclamptic cases respectively. In addition, predictions could be improved by including other risk factors in the calculations as in Ohkuchi et al. Verlohren's studies could also be used to estimate chances of preeclampsia. The availability of easily calculated risks would be a useful clinical tool beyond comparing the sFlt-1/PlGF ratio to a threshold. While a much higher value of sFlt-1/PlGF indicates higher risk; the question remains: how great is the chance of preeclampsia? In discussion of limitations, Verlohren et al. note that they did not calculate positive or negative predictive values directly from their data set due to the study design. However, one can combine an overall PE rate of 2–5% and the distributions of sFlt-1/PlGF for preeclampsia and non- preeclamptic pregnancies to derive risks of preeclampsia for given gestational ages as well as positive or negative predictive values (7). In addition, other risk factors or recently identified biomarkers in blood or urine such as complement products C3a, C5a, C5b-9, angiotensin type 1 receptor auto-antibodies, or the insulin like growth factor acid labile subunit should also be tested in models to refine this approach (3;8;9).
The present study from Verlohren et al. (6) demonstrates that the predictive ability of sFlt-1/PlGF in early gestation is much better than in late gestation. Monitoring sFlt-1/PlGF longitudinally may be useful to identify women with early onset preeclampsia, but trying to make one marker fit all things for a heterogeneous disorder with multiple mechanisms may be asking too much. Moreover, the decreasing sensitivity and specificity of the sFlt-1/PlGF assay for predicting late-onset preeclampsia may suggest the presence of additional pathways contributing to hypertension in this setting. Of course, further studies are needed to thoroughly explore this possibility.
For prediction of early gestational preeclampsia, the sFlt-1/PIGF ratio cutoff can provide both a high specificity and high sensitivity marker. High specificity is very important for predicting events with low prevalence and will certainly minimize the number of false alarms for pregnant women. Including information on adverse maternal and fetal outcomes in these algorithms may provide important information. Accumulating evidence suggests that preeclampsia and increases in anti-angiogenic factors elevate risk for later development of chronic diseases such as bronchopulmonary dysplasia (10). Extending the studies of Verlohren et al to calculate risk is also clearly needed to translate these important findings into a useful clinical tool to guide the decision making process and improve maternal and fetal outcomes for the balance of gestation. While the present study provides important information to move our ability to diagnose preeclampsia forward, further studies investigating different biomarkers and endpoints are needed to expand the clinical tool kit and optimize management and treatment of preeclampsia and minimize the long term effects on both mothers and children.
Acknowledgments
Source of Funding
JSG is supported in part by funding from AHA 10SDG2600040 and NIH HL114096, HL109843, and HL115027. JFR is supported in part by funding from NIH HL109843.
Footnotes
Disclosures None
References
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