Faculty Opinions recommendation of Placental growth factor and the risk of adverse neonatal and maternal outcomes.

Author(s):  
Andrew Shennan
2020 ◽  
Vol 135 (3) ◽  
pp. 665-673 ◽  
Author(s):  
Jacqueline G. Parchem ◽  
Clifton O. Brock ◽  
Han-Yang Chen ◽  
Raghu Kalluri ◽  
John R. Barton ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
U. Vivian Ukah ◽  
◽  
Beth A. Payne ◽  
Jennifer A. Hutcheon ◽  
Lucy C. Chappell ◽  
...  

Abstract Background The fullPIERS risk prediction model was developed to identify which women admitted with confirmed diagnosis of preeclampsia are at highest risk of developing serious maternal complications. The model discriminates well between women who develop (vs. those who do not) adverse maternal outcomes. It has been externally validated in several populations. We assessed whether placental growth factor (PlGF), a biomarker associated with preeclampsia risk, adds incremental value to the fullPIERS model. Methods Using a cohort of women admitted into tertiary hospitals in well-resourced settings (the USA and Canada), between May 2010 to February 2012, we evaluated the incremental value of PlGF added to fullPIERS for prediction of adverse maternal outcomes within 48 h after admission with confirmed preeclampsia. The discriminatory performance of PlGF and the fullPIERS model were assessed in this cohort using the area under the receiver’s operating characteristic curve (AUROC) while the extended model (fullPIERS +PlGF) was assessed based on net reclassification index (NRI) and integrated discrimination improvement (IDI) performances. Results In a cohort of 541 women delivered shortly (< 1 week) after presentation, 8.1% experienced an adverse maternal outcome within 48 h of admission. Prediction of adverse maternal outcomes was not improved by addition of PlGF to fullPIERS (NRI: -8.7, IDI − 0.06). Discriminatory performance (AUROC) was 0.67 [95%CI: 0.59–0.75] for fullPIERS only and 0.67 [95%CI: 0.58–0.76]) for fullPIERS extended with PlGF, a performance worse than previously documented in fullPIERS external validation studies (AUROC > 0.75). Conclusions While fullPIERS model performance may have been affected by differences in healthcare context between this study cohort and the model development and validation cohorts, future studies are required to confirm whether PlGF adds incremental benefit to the fullPIERS model for prediction of adverse maternal outcomes in preeclampsia in settings where expectant management is practiced.


2020 ◽  
Author(s):  
U. Vivian Ukah ◽  
Beth A Payne ◽  
Jennifer Hutcheon ◽  
Lucy Chappell ◽  
Paul Seed ◽  
...  

Abstract Background: The fullPIERS risk prediction model was developed to identify which women admitted with confirmed diagnosis of preeclampsia are at highest risk of developing serious maternal complications. The model discriminates well between women who develop (vs. those who do not) adverse maternal outcomes. It has been externally validated in several populations. We assessed whether placental growth factor (PlGF), a biomarker associated with preeclampsia risk, adds incremental value to the fullPIERS model. Methods: Using a cohort of women admitted into tertiary hospitals in well-resourced settings (the USA and Canada), between May 2010 to February 2012, we evaluated the incremental value of PlGF added to fullPIERS for prediction of adverse maternal outcomes within 48 hours after admission with confirmed preeclampsia. The discriminatory performance of PlGF and the fullPIERS model were assessed in this cohort using the area under the receiver`s operating characteristic curve (AUROC) while the extended model (fullPIERS +PlGF) was assessed based on net reclassification index (NRI) and integrated discrimination improvement (IDI) performances. Results: In a cohort of 541 women delivered shortly (<1 week) after presentation, 8.1% experienced an adverse maternal outcome within 48hrs of admission. Prediction of adverse maternal outcomes was not improved by addition of PlGF to fullPIERS (NRI: -8.7, IDI -0.06). Discriminatory performance (AUROC) was 0.67 [95%CI: 0.59-0.75] for fullPIERS only and 0.67 [95%CI: 0.58-0.76]) for fullPIERS extended with PlGF, a performance worse than previously documented in fullPIERS external validation studies (AUROC > 0.75). Conclusions: While fullPIERS model performance may have been affected by differences in healthcare context between this study cohort and the model development and validation cohorts, future studies are required to confirm whether PlGF adds incremental benefit to the fullPIERS model for prediction of adverse maternal outcomes in preeclampsia in settings where expectant management is practiced.


2020 ◽  
Author(s):  
U. Vivian Ukah ◽  
Beth A Payne ◽  
Jennifer Hutcheon ◽  
Lucy Chappell ◽  
Paul Seed ◽  
...  

Abstract Background The fullPIERS risk prediction model was developed to identify which women admitted with confirmed diagnosis of preeclampsia are at highest risk of developing serious maternal complications. The model discriminates well between women who develop (vs. those who do not) adverse maternal outcomes. It has been externally validated in several populations. We assessed whether placental growth factor (PlGF), a biomarker associated with preeclampsia risk, adds incremental value to the fullPIERS model. Methods Using a cohort of women admitted into tertiary hospitals in well-resourced settings (the USA and Canada), between May 2010 to February 2012, we evaluated the incremental value of PlGF added to fullPIERS for prediction of adverse maternal outcomes within 48 hours after admission with confirmed preeclampsia. The discriminatory performance of PlGF and the fullPIERS model were assessed in this cohort using the area under the receiver`s operating characteristic curve (AUROC) while the extended model (fullPIERS + PlGF) was assessed based on net reclassification index (NRI) and integrated discrimination improvement (IDI) performances. Results In a cohort of 541 women delivered shortly (< 1 week) after presentation, 8.1% experienced an adverse maternal outcome within 48hrs of admission. Prediction of adverse maternal outcomes was not improved by addition of PlGF to fullPIERS (NRI: -8.7, IDI − 0.06). Discriminatory performance (AUROC) was 0.67 [95%CI: 0.59–0.75] for fullPIERS only and 0.67 [95%CI: 0.58–0.76]) for fullPIERS extended with PlGF, a performance worse than previously documented in fullPIERS external validation studies (AUROC > 0.75). Conclusions While fullPIERS model performance may have been affected by differences in healthcare context between this study cohort and the model development and validation cohorts, future studies are required to confirm whether PlGF adds incremental benefit to the fullPIERS model for prediction of adverse maternal outcomes in preeclampsia in settings where expectant management is practiced.


2014 ◽  
Author(s):  
Matthew T Ratsep ◽  
Bruno Zavan ◽  
Nicki Peterson ◽  
Leandra Tolusso ◽  
Vanessa Kay ◽  
...  

2016 ◽  
pp. 25-28
Author(s):  
J.M. Melnik ◽  
◽  
A.A. Shlyahtina ◽  

The article presents the predictors of placental dysfunction on the early stage of pregnancy. The objective: the search for prognostic markers and criteria for the occurrence of placental insufficiency in the early stages of the gestational process to optimize the pregnancy and labor with improved perinatal outcomes. Patients and methods. To solve this goal in the period from 2013 to 2015 were conducted a comprehensive survey of 334 pregnant women, which depending on the peculiarities of pregnancy and childbirth were divided into groups. The control group consisted of 236 pregnant women with uncomplicated gestational period, no morphological signs of placental dysfunction. The study group included 98 patients with a complicated pregnancy who had revealed violations of the fetal-placental relations, which was confirmed by morphological examination of the placenta in the postpartum period. Results. It was found that pregnant women with placental insufficiency in the first trimester of pregnancy have higher levels of interleukin-1B (IL-1v) and interleukin-3 (IL-3) in comparison with physiological pregnancy, as well as there is a direct significant correlation between IL-1v and pulsative index (PI) in the spiral (r=0.84) and uterine artery (r=0.77), and the inverse correlation between the level of IL-3 and PI in the terminal branches of the umbilical artery (r=-0.69). Verified an inverse relationship between the concentration of endothelin-1, the level of vascular endothelial growth factor (r=-0.87) and placental growth factor (r=-0.73), and also a direct link between the content of endothelin-1 and PI in spiral arteries (r=0.89), uterine artery (r=0.83) and the terminal branches of the umbilical artery (r=0.79). Conclusion. Thus, it is proven that early predictors of placental dysfunction can be considered the concentration of endothelin-1, vascular endothelial growth factor, placental growth factor, interleukin-1, interleukin-3, and the indices of pulsative index. Key words: placental dysfunction, predictors, endothelin-1, vascular endothelial growth factor, placental growth factor, interleukin, pulsative index.


2020 ◽  
Vol 154 (Supplement_1) ◽  
pp. S12-S13
Author(s):  
Nga Yeung Tang ◽  
Sarosh Rana ◽  
Kiang-Teck J Yeo

Abstract Background Preeclampsia is a leading hypertensive disorder in pregnant women. The angiogenic biomarkers, soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) ratio, have been shown to be associated with diagnosis and prediction of preeclampsia. The objective of this study is to validate the analytical performance of sFlt-1 and PlGF on the Cobas e602 system (Roche Diagnostics Corporation). Method Intra-day and inter-day precisions for both sFlt-1 and PlGF assays were assessed using quality control materials provided from Roche Diagnostics. The accuracies for both assays were assessed by running 60 patient samples, which have been previously analyzed on the Elecsys 411 analyzer (Roche Diagnostics Corporation) at the Beth Israel Deaconess Medical Center. Linearity studies for both assays were performed using patient plasma spiked with recombinant sFlt-1 and PlGF proteins (R&D systems). Hemolysis, icterus, lipemia and biotin interference studies were performed by spiking hemolysate, bilirubin, intralipid or biotin into either pooled patient plasma with detectable levels of sFlt-1 and PlGF or otherwise, patient plasma spiked with recombinant sFlt-1 and PlGF proteins. Results Total precisions for both assays demonstrated CVs of &lt;5.0%. The sFlt-1 and PlGF assays demonstrated analytical measuring ranges of 3060,000 pg/mL and 79,000 pg/mL, respectively (r2 &gt; 0.98). Lower limit of quantitation (10% CV) was 30 pg/mL for sFlt-1 and 7 pg/mL for PlGF, respectively. Interference studies showed sFlt-1 and PlGF were not significantly affected by hemolysis up to H-indices of 500 and 1000 respectively; both assays were not affected by bilirubin up to an I-index of 60, and lipemia up to an L-index of 2800. Biotin at concentrations &gt;30 ng/mL caused significant negative bias for both sFlt-1 and PlGF assays. Comparison studies showed the following: Cobas e602 sFLT-1 = 1.09 [Elecsys 411 sFLT-1] +203 (r2=0.97, Sy/x=1234, n=58); Cobas e602 PlGF = 1.10 [Elecsys 411 PlGF] +47 (r2=0.99, Sy/x=22.1, n=58); Cobas e602 sFLT-1/PlGF ratio = 0.94 [Elecsys 411 sFLT-1/PlGF ratio] +3.5 (r2=0.91, Sy/x=50, n=58). Conclusion sFlt-1 and PlGF measured on Roche Diagnostics Cobas e602 system demonstrated excellent analytical performance and are acceptable for clinical use once approved in the US.


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