Obstetric and pediatric growth charts for the detection of fetal growth restriction and neonatal adverse outcomes in preterm newborns before 34 weeks of gestation

Author(s):  
Beatriz Fernandez-Rodriguez ◽  
Concepcion de Alba ◽  
Cecilia Villalain ◽  
Carmen Rosa Pallás ◽  
Alberto Galindo ◽  
...  
Placenta ◽  
2021 ◽  
Vol 105 ◽  
pp. 70-77
Author(s):  
Nir Melamed ◽  
Liran Hiersch ◽  
Amir Aviram ◽  
Elad Mei-Dan ◽  
Sarah Keating ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022743 ◽  
Author(s):  
Debora Farias Batista Leite ◽  
Aude-Claire Morillon ◽  
Elias F Melo Júnior ◽  
Renato T Souza ◽  
Ali S Khashan ◽  
...  

IntroductionFetal growth restriction (FGR) is a relevant research and clinical concern since it is related to higher risks of adverse outcomes at any period of life. Current predictive tools in pregnancy (clinical factors, ultrasound scan, placenta-related biomarkers) fail to identify the true growth-restricted fetus. However, technologies based on metabolomics have generated interesting findings and seem promising. In this systematic review, we will address diagnostic accuracy of metabolomics analyses in predicting FGR.Methods and analysisOur primary outcome is small for gestational age infant, as a surrogate for FGR, defined as birth weight below the 10th centile by customised or population-based curves for gestational age. A detailed systematic literature search will be carried in electronic databases and conference abstracts, using the keywords ‘fetal growth retardation’, ‘metabolomics’, ‘pregnancy’ and ‘screening’ (and their variations). We will include original peer-reviewed articles published from 1998 to 2018, involving pregnancies of fetuses without congenital malformations; sample collection must have been performed before clinical recognition of growth impairment. If additional information is required, authors will be contacted. Reviews, case reports, cross-sectional studies, non-human research and commentaries papers will be excluded. Sample characteristics and the diagnostic accuracy data will be retrieved and analysed. If data allows, we will perform a meta-analysis.Ethics and disseminationAs this is a systematic review, no ethical approval is necessary. This protocol will be publicised in our institutional websites and results will be submitted for publication in a peer-reviewed journal.PROSPERO registration numberCRD42018089985.


2022 ◽  
Vol 226 (1) ◽  
pp. S504-S505
Author(s):  
Jennifer E. Powel ◽  
Emily W. Zantow ◽  
Matthew F. Bialko ◽  
Lauren G. Farley ◽  
Tracy M. Tomlinson

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Elena Prokopenko ◽  
Andrey Vatazin ◽  
Vera Gurieva ◽  
Irina Nikol`skaya ◽  
Fatima Burumkulova ◽  
...  

Abstract Background and Aims Pregnancy in patients with diabetic nephropathy (DN) is characterized by an increased incidence of complications and adverse outcomes. The aim of the study was to determine the nature and incidence of pregnancy complications and maternal and fetal outcomes in women with DN. Method 61 pregnant women with diabetes mellitus (DM) type 1 and CKD 1-4 stages: 1 st. –29 patients, 2 st. - 19, 3-4 st. – 13 (age 29.7±4.9 years, DM duration 18.6 ± 5,3 years) and 72 pregnant patients with pre-existing (type 1) DM without CKD (age 28.2±4.8 years, DM duration 11.4 ±3.7 years) observed in 2010-2017 were included. The incidence of chronic arterial hypertension (AH), preeclampsia (PE), fetal macrosomia, fetal growth restriction, preterm delivery, cesarean section, stillbirth and the effect of pregnancy on kidney function were evaluated. Results Chronic AH was detected in 19.4% of women w/o CKD, in 10.3% – CKD 1 st, 17.6% – CKD2, 61.3% – CKD 3-4 (p &lt 0.05 CKD3-4 vs CKD1). The incidence of PE in patients w/o CKD was 12.5% (2-3% for general population), with CKD 1 – 24.1%, CKD 2 – 41.2%, CKD 3-4 – 38.5% (p &lt 0.001 when comparing all groups). Macrosomia was common in pregnant diabetic women w/o CKD (30.6%), patients with CKD 1 (41.4%) and CKD 2 (52.9%), but was not observed in CKD 3-4 (0%). In contrast, the incidence of fetal growth restriction was highest with CKD 3-4 (61.5%) compared women w/o CKD (5.6%) and with CKD1(13.8%) and CKD2 (11.8%), p &lt 0.05.Preterm delivery was more common in women with CKD, and its frequency increased with increasing severity of CKD: w/o CKD – 18.1%, CKD 1 – 48.3%, CKD2 – 61.3%, CKD 3-4 –84.6% (p &lt 0.05). Incidence of cesarean section was high and did not differ significantly between groups: w/o CKD – 62.5.1%, CKD 1 – 55.2%, CKD2 – 82.4%, CKD 3-4 –92.3% (p &gt 0.05). Stillbirth was observed only with CKD stage 3-4 in 15.4% of cases.Four out of 13 (30.8%) patients with pre-existing CKD 3-4 and none of the patients with CKD1-2 reached stage 5 CKD and started regular hemodialysis with a median follow-up period of 43.3 months (min 29.7 - max. 81.5). Conclusion DN has a negative effect on pregnancy outcomes, increasing the frequency of preeclampsia, fetal growth restriction, preterm birth and stillbirth, however, fetal macrosomia practically does not occur with CKD 3-4. The rapid achievement of CKD 5D after delivery is typical for diabetic women with advanced stages of CKD.


2019 ◽  
Vol 17 ◽  
pp. S28-S29
Author(s):  
C. Villalaín ◽  
L. Valle ◽  
M. Mendoza ◽  
M. Vázquez-Fernández ◽  
A. Fernández Oliva ◽  
...  

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Beatriz Fernandez-Rodriguez ◽  
Concepción de Alba ◽  
Alberto Galindo ◽  
David Recio ◽  
Cecilia Villalain ◽  
...  

AbstractObjectivesLate-onset fetal growth restriction (FGR) has heterogeneous prenatal and postnatal diagnostic criteria. We compared the prenatal and postnatal diagnosis of late-onset FGR and their ability to predict adverse perinatal outcomes.MethodsRetrospective cohort study of 5442 consecutive singleton pregnancies that delivered beyond 34 + 0 weeks. Prenatal diagnosis of FGR was based on customized fetal growth standards and fetal Doppler while postnatal diagnosis was based on a birthweight <3rd percentile according to newborn charts (Olsen’s charts and Intergrowth 21st century programme). Perinatal outcomes were analyzed depending on whether the diagnosis was prenatal, postnatal or both.ResultsA total of 94 out of 5442 (1.7%) were diagnosed as late-onset FGR prenatally. Olsen’s chart and Intergrowth 21st chart detected that 125/5442 (2.3%) and 106/5442 (2.0%) of infants had a birthweight <3rd percentile, respectively. These charts identified 35/94 (37.2%) and 40/94 (42.6%) of the newborns with a prenatal diagnosis of late-onset FGR. Prenatally diagnosed late-onset FGR infants were at a higher risk for hypoglycemia, jaundice and polycythemia. Both prenatally and postnatally diagnosed as late-onset FGR had a higher risk for respiratory distress syndrome when compared to non-FGR. The higher risks for intensive care admission and composite adverse outcomes were observed in those with a prenatal diagnosis of late-onset FGR that was confirmed after birth.ConclusionsCurrent definitions of pre- and postnatal late-onset FGR do not match in more than half of cases. Infants with a prenatal or postnatal diagnosis of this condition have an increased risk of neonatal morbidity even if these diagnoses are not coincident.


2017 ◽  
Vol 216 (1) ◽  
pp. S105-S106
Author(s):  
Lorene A. Temming ◽  
Fayola F. Fears ◽  
Omar M. Young ◽  
Molly J. Stout ◽  
Methodius G. Tuuli ◽  
...  

Author(s):  
Pavan Bhargava Chandramohan ◽  
Sarita Agrawal ◽  
Chandrashekhar Shrivastava ◽  
Sarita Rajbhar ◽  
Prasanta Nayak ◽  
...  

Background: The aim of our study was to determine the association of low levels of pregnancy associated plasma protein-A (PAPP-A) levels estimated at 11-13+6weeks of gestation with fetal growth restriction (FGR).Methods: A prospective observational study of a total of 203 pregnant women with PAPP-A levels were followed up and the outcome data were collected at childbirth.Results: The incidence of FGR was 7.3%. A significant association was found between low levels of PAPP-A MoM (≤0.49) with FGR (p=0.000) with unadjusted odds ratio of 11.6. At PAPP-A multiples of median (MoM) ≤0.49, FGR had a median (Q1, Q3) of 0.46 (0.42, 1.54) versus 1.87 (0.59, 3.11) which was statistically significant (p=0.05) with moderate strength of prediction [minus 0.58 (95% CI, minus 1.113, minus 0.055), p=0.03]. At the cut-off considered in our study i.e., ≤0.49 MoM, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 73%, 81%, 23%, and 97% respectively with a positive LR of 3.82 and negative LR of 0.32. Karl Pearson’s correlation showed positive correlation (r=0.308, p<0.001) between PAPP-A MoM and birthweight and showed that for every unit increase in PAPP-A MoM, birthweight increased by 0.082 times (approximately 90 gm). We also found an association of low PAPP-A with pre-eclampsia, preterm delivery and increased caesarean delivery births.Conclusions: We conclude that low PAPP-A MoM levels are good reflectors of placental function and adverse outcomes. PAPP-A, a part of the dual marker, may be extrapolated for suspecting FGR. This could guide in instituting appropriate feto-maternal surveillance.


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