Ultrasound Obstet Gynecol 2015; 46: 452–459 Published online 25 August 2015 in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/uog.14920 Risk of ultrasound-detected neonatal brain abnormalities in intrauterine growth-restricted fetuses born between 28 and 34 weeks’ gestation: relationship with gestational age at birth and fetal Doppler parameters R. CRUZ-MARTINEZ*†, V. TENORIO*, N. PADILLA*, F. CRISPI*, F. FIGUERAS* and E. GRATACOS* *BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clinic and Hospital Sant Joan de Deu), IDIBAPS, University of Barcelona and Centre for Biomedical Research on Rare Diseases (CIBER-ER), Barcelona, Spain; †Fetal Medicine and Surgery Research Unit, Children’s and Women’s Specialty Hospital of Queretaro and Unidad de Investigación en Neurodesarrollo ‘Dr. Augusto Fernández Guardiola’, Instituto de Neurobiologı́a, Universidad Nacional Autónoma de México (UNAM) Campus Juriquilla, Queretaro, Mexico K E Y W O R D S: aortic isthmus; Doppler; ductus venosus; intrauterine growth restriction; middle cerebral artery; myocardial performance index ABSTRACT Objective To estimate the value of gestational age at birth and fetal Doppler parameters in predicting the risk of neonatal cranial abnormalities in intrauterine growth-restricted (IUGR) fetuses born between 28 and 34 weeks’ gestation. Methods Fetal Doppler parameters including umbilical artery (UA), middle cerebral artery (MCA), aortic isthmus, ductus venosus and myocardial performance index were evaluated in a cohort of 90 IUGR fetuses with abnormal UA Doppler delivered between 28 and 34 weeks’ gestation and in 90 control fetuses matched for gestational age. The value of gestational age at birth and fetal Doppler parameters in predicting the risk of ultrasound-detected cranial abnormalities (CUA), including intraventricular hemorrhage, periventricular leukomalacia and basal ganglia lesions, was analyzed. Results Overall, IUGR fetuses showed a significantly higher incidence of CUA than did control fetuses (40.0% vs 12.2%, respectively; P < 0.001). Within the IUGR group, all predictive variables were associated individually with the risk of CUA, but fetal Doppler parameters rather than gestational age at birth were identified as the best predictor. MCA Doppler distinguished two groups with different degrees of risk of CUA (48.5% vs 13.6%, respectively; P < 0.01). In the subgroup with MCA vasodilation, presence of aortic isthmus retrograde net blood flow, compared to antegrade flow, allowed identification of a subgroup of cases with the highest risk of CUA (66.7% vs 38.6%, respectively; P < 0.05). Conclusion Evaluation of fetal Doppler parameters, rather than gestational age at birth, allows identification of IUGR preterm fetuses at risk of neonatal brain abnormalities. Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. INTRODUCTION Fetuses with early-onset intrauterine growth restriction (IUGR) resulting from severe placental insufficiency are at increased risk of adverse early and long-term neurological outcome1 . In addition to the known risks of prematurity, chronic hypoxia also contributes to the risk of ultrasound-detected cranial abnormalities (CUA) such as intraventricular hemorrhage (IVH) and periventricular leukomalacia (PVL)2,3 . CUA have a strong association with later neurodevelopmental and visual impairments4 – 9 and its prediction could improve the management of early-onset IUGR. From a clinical point of view, this information could be relevant particularly for fetuses delivered after 28 weeks’ gestation when mortality is normally low10 , and the predicted risk of neonatal morbidity should constitute the main reason for delivery. Previous large studies on IUGR fetuses suggest that neurological outcome is associated largely with gestational age at delivery10,11 , but these studies included many cases delivered before 28 weeks, when mortality Correspondence to: Dr E. Gratacos, Maternal-Fetal Medicine Department, Hospital Clinic, University of Barcelona, Sabino de Arana 1, 08028 Barcelona, Spain (e-mail: [email protected]) Accepted: 31 May 2015 Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. ORIGINAL PAPER Abnormal Doppler in IUGR fetuses and neonatal brain abnormality and morbidity are exceedingly high and the margin for clinical decision-making is small. It is unknown whether, for similar gestational-age ranges, particularly beyond 28 weeks, fetal Doppler parameters predict a higher risk of poor neurological outcome. This information is important in order to understand whether Doppler monitoring could be used to provide adjunct information relevant to the decision of delivering later than 28 weeks. Different fetal Doppler parameters have been proposed as promising predictors of neonatal outcome. The clinical standards for fetal surveillance and timely delivery are the umbilical artery (UA) and ductus venosus (DV)12 , particularly the finding of absent/reversed end-diastolic velocity (A/REDV) which has been associated independently with the presence of acidemia and increased risk of perinatal death13 – 15 . However, there is conflicting evidence of their value in predicting neonatal neurological morbidity11,16 – 18 . Middle cerebral artery (MCA) Doppler is considered a surrogate for fetal hypoxemia19 , but its value in predicting neurological damage in preterm IUGR remains controversial20,21 . Other cardiovascular parameters such as aortic isthmus (AoI) flow and myocardial performance index (MPI) have been suggested as candidates for fetal surveillance of IUGR fetuses. These parameters seem to provide only modest additional clinical value in predicting mortality in early-onset IUGR when DV Doppler has been used already22,23 . Preliminary evidence suggests that AoI flow shows an association with long-term neurological outcome24,25 while no previous studies have evaluated the association of MPI with neurological outcome. There are no studies evaluating the combined value of the Doppler parameters mentioned above in the prediction of neurological outcome. In this study we aimed to evaluate the value of gestational age at birth and fetal Doppler parameters in predicting the risk of neonatal CUA in early-onset IUGR fetuses born between 28 and 34 weeks’ gestation. METHODS This was a prospective study including a cohort of consecutive singleton fetuses with early-onset IUGR, defined as an estimated fetal weight < 10th centile according to local standards26 , abnormal UA Doppler (pulsatility index (PI) > 95th centile)27 and delivery between 28 and 34 weeks’ gestation. All pregnancies were dated by first-trimester crown–rump length measurement28 . Exclusion criteria were: congenital malformations, chromosomal abnormalities, neonatal death and confirmed birth weight ≥ 10th centile26 . Controls were selected during the same study period and were defined as singleton fetuses delivered preterm with neonatal birth weight between 10th and 90th centile26 and without clinical signs of chorioamnionitis. Controls were matched individually to cases by gestational age at delivery (± 1 week). The protocol was approved by the hospital ethics committee and written consent was obtained from all women involved (IRB 2009/4712). Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. 453 In all IUGR fetuses, Doppler ultrasound examinations were recorded every 48–72 h by one of two experienced operators (R.C.-M. or F.F.) using a Voluson E8 (GE Medical Systems, Zipf, Austria) ultrasound machine equipped with a 6–2-MHz linear curved-array transducer. Doppler recordings were performed in the absence of fetal movement and during maternal voluntary suspended breathing. Spectral Doppler parameters were acquired automatically from three or more consecutive waveforms, with the angle of insonation as close to 0◦ as possible. A high-pass wall filter of 70 Hz was used to record low flow velocities and avoid artifacts. Mechanical and thermal indices were maintained below 1. UA-PI was measured from a free-floating cord loop. DV was obtained in a midsagittal or transverse section of the fetal abdomen, positioning the Doppler gate at the isthmic portion. MCA-PI was obtained in a transverse view of the fetal head, at the level of origin from the circle of Willis. AoI-PI was measured either in a sagittal view of the fetal thorax, with clear visualization of the aortic arch, placing the gate a few millimeters beyond the origin of the left subclavian artery, or in a cross-sectional view of the fetal thorax, at the level of the three vessels and trachea view, placing the gate just before the convergence of the AoI and the arterial duct29 . MPI was measured as described previously by Hernandez-Andrade et al.30 . In brief, in a cross-sectional view of the fetal thorax, in an apical projection and at the level of the four-chamber view of the heart, the Doppler sample volume was placed to include both the lateral wall of the ascending aorta and the mitral valve at which clicks corresponding to the opening and closing of the two valves could be visualized clearly. Images were recorded using a sample volume of 3 mm, gain level of 60, Doppler sweep velocity of 8, with the E/A waveform always displayed as positive flow. Isovolumetric contraction time (ICT), ejection time (ET) and isovolumetric relaxation time (IRT) were calculated using clicks of the mitral and aortic valves as landmarks and MPI was calculated as (ICT + IRT)/ET. All Doppler parameters were normalized by converting the measurements into Z-scores according to published normal reference values and were considered as abnormal with confirmed values > 95th centile (+ 1.65 Z-scores)27,31 – 33 . MCA vasodilation was defined as MCA-PI values < 5th centile (– 1.65 Z-scores) in two consecutive observations (24 h apart)34 . UA, AoI and DV Doppler were qualitatively dichotomized into present or A/REDV according to the presence or absence of diastolic blood flow. A/REDV in the UA was defined as the absence of antegrade flow in both UAs, in more than 50% of the cycles and persistent in at least two examinations 12 h apart. Using the criteria described for UA, AoI was considered to be reversed in the presence of retrograde net blood flow during diastole, and A/REDV in the DV was defined as the absence of antegrade flow during atrial contraction. In all cases, only the last examination within 1 week of delivery was included in the analysis. Betamethasone was given in all cases for lung maturation. Cases with pre-eclampsia (PE) were managed Ultrasound Obstet Gynecol 2015; 46: 452–459. 454 Cruz-Martinez et al. Characteristic Maternal age (years) Primiparous Non-Caucasian Smoker 1–19 cigarettes/day ≥ 20 cigarettes/day Pre-eclampsia Cesarean delivery GA at birth (weeks) Birth weight (g) Birth-weight centile 5-min Apgar score < 7 Neonatal acidosis Neonatal unit stay (days) Controls (n = 90) IUGR (n = 90) 32.3 ± 5.2 51 (56.7) 22 (24.4) 7 (7.8) 6 (6.7) 1 (1.1) 10 (11.1) 37 (41.1) 31.1 ± 12.4 1616 ± 477 43.3 ± 20.3 3 (3.3) 5 (5.6) 30.1 ± 21.8 32.2 ± 4.9 45 (50.0) 17 (18.9) 7 (7.8) 5 (5.6) 2 (2.2) 46 (51.1) 85 (94.4) 31.2 ± 2.4 1078 ± 365 4.2 ± 5.4 5 (5.6) 8 (8.9) 42.9 ± 22.8 P* 0.89 0.61 0.37 1.0 0.76 0.56 < 0.001 < 0.001 0.73 < 0.001 < 0.001 0.47 0.39 < 0.001 Data are given as mean ± SD or n (%). *Student’s t-test and paired t-test or McNemar test for independent and paired samples, respectively. GA, gestational age. according to standard guidelines35,36 . Delivery was indicated if any of the following criteria were present: decelerative cardiotocography (at least six decreases of > 30 beats in 60 min)37 ; REDV in the UA, A/REDV in the DV or persistent abnormal biophysical profile (less than six on two occasions 8 h apart)38 ; maternal complications secondary to PE. Metabolic neonatal acidosis was defined as the presence of UA pH < 7.15 and base excess > 12 mEq/L at birth39 . Neonatal intracranial ultrasound examinations were performed sequentially on days 3 and 14 after birth, and at 40 weeks of corrected postnatal age. All scans were performed by one of two experienced operators (V.T. or N.P.) who were blinded to results concerning the fetal Doppler parameters evaluated in this study. Images were acquired using Siemens Sonoline Antares ultrasound equipment (Siemens Medical Systems, Malvern, PA, USA) with the P10-4 neonatal probe set at a frequency of 7.5 MHz. The intracranial ultrasound examination included five sagittal and six coronal plane images taken from the anterior fontanel. Abnormal increased echogenicity of the white matter was reported if the affected region was almost as bright as the choroid plexus, according to Van Wezel-Meijler et al.40 . These echodensities were classified as transient periventricular echodensities if they were present at 72 h but had disappeared by 14 days41 . Diagnosis of PVL was based on ultrasound examination at day 14 after delivery and was scored according to the classification described by de Vries et al.42 . IVH was classified according to the criteria described by Volpe43 . Basal ganglia lesions (BGL) were diagnosed when an echodensity or an echolucency was seen at any time within the basal ganglia area. The presence of IVH, PVL or BGL at any ultrasound examination was defined as any CUA and those that were present at 40 weeks of corrected postnatal age were defined as late CUA. Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. Table 2 Frequency of ultrasound-detected cranial abnormalities (CUA) in singleton pregnancies complicated by intrauterine growth restriction (IUGR) and normal controls matched for gestational age Cranial abnormality IVH Grade I Grade II Grade III Grade IV Transient periventricular echodensities PVL Grade I Grade II Grade III Grade IV Basal ganglia lesions Any CUA Late CUA Controls (n = 90) IUGR (n = 90) P* 9 (10.0) 7 (7.8) 0 2 (2.2) 0 12 (13.3) 20 (22.2) 12 (13.3) 3 (3.3) 4 (4.4) 1 (1.1) 33 (36.7) < 0.05 0.22 0.08 0.41 0.32 < 0.001 7 (7.8) 7 (7.8) 0 0 0 0 11 (12.2) 2 (2.2) 18 (20.0) 13 (14.4) 5 (5.6) 0 0 13 (14.4) 36 (40.0) 23 (25.6) < 0.05 0.15 < 0.05 — — < 0.01 < 0.001 < 0.001 Data are given as n (%). Some fetuses had more than one type of CUA. *Adjusted for gestational age at birth by logistic regression. IVH, intraventricular hemorrhage; PVL, periventricular leukomalacia. Frequency of abnormality (%) Table 1 Maternal and neonatal clinical characteristics of singleton pregnancies complicated by intrauterine growth restriction (IUGR) and normal controls matched for gestational age 60 *† 50 * *† 40 * 30 * 20 * 10 0 BGL PVL IVH Late CUA Any CUA Figure 1 Frequency of basal ganglia lesions (BGL), periventricular leukomalacia (PVL), intraventricular hemorrhage (IVH), late ultrasound-detected cranial abnormalities (CUA) and any CUA in 90 control fetuses and 90 fetuses with intrauterine growth restriction (IUGR) classified according to gestational age (GA) at birth. *P < 0.05 compared to controls. †P < 0.05 among IUGR fetuses. , control (GA at birth, ≥ 30 weeks); , control (GA at birth, < 30 weeks); , IUGR (GA at birth, ≥ 30 weeks); , IUGR (GA at birth, < 30 weeks). Statistical analysis Student’s t- or paired Student’s t- and McNemar tests were used to compare independent and paired data, respectively. The association between gestational age at birth and abnormalities in the studied fetal Doppler parameters and the risk of CUA was analyzed by multiple simple logistic regression (for independent data) or conditional logistic regression (for paired data) using the Statistical Package for Social Sciences 19.0 statistical software (SPSS, IBM Corp., Armonk, NY, USA). A predictive model for the occurrence of any and late CUA was constructed using the Decision Tree Analysis algorithm (SPSS 19.0) which provides clinically comprehensive classification algorithms that allow their use in profiling individual risk for a given patient. The Ultrasound Obstet Gynecol 2015; 46: 452–459. 455 Abnormal Doppler in IUGR fetuses and neonatal brain abnormality (a) 60 *† *† (b) 60 50 Frequency of abnormality (%) Frequency of abnormality (%) 50 40 30 * * 20 * * BGL PVL 40 *† 30 * *† 20 10 0 *† * BGL PVL IVH (d) 50 BGL PVL IVH Frequency of abnormality (%) Frequency of abnormality (%) (c) 50 *† 20 0 IVH *† 30 10 10 0 40 40 *† 30 * 20 * * 10 0 BGL PVL IVH Figure 2 Frequency of basal ganglia lesions (BGL), periventricular leukomalacia (PVL) and intraventricular hemorrhage (IVH) in 90 control fetuses and 90 fetuses with intrauterine growth restriction (IUGR), with or without: (a) abnormal ductus venosus (DV) ( , controls; , IUGR, normal DV; , IUGR, absent/reversed DV); (b) aortic isthmus (AoI) retrograde net blood flow ( , controls; , IUGR, antegrade AoI; , IUGR, retrograde AoI); (c) middle cerebral artery (MCA) vasodilation ( , controls; , IUGR, normal MCA; , IUGR, MCA vasodilation); (d) absent/reversed end-diastolic flow in the umbilical artery (UA) ( , controls; , IUGR, antegrade UA; , IUGR, absent/reversed UA). *P < 0.05 compared to controls. †P < 0.05 among IUGR fetuses. decision tree was developed using the Classification and Regression Trees CHAID method (Quick, Unbiased and Efficient Statistical Tree) which generates binary decision trees with the P inset at 0.05 (Bonferroni-adjusted for multiple comparisons) and a cut-off selected automatically for all parameters included44 . The classification and regression tree was constructed by splitting subsets of the dataset using all predictor variables to create two child nodes repeatedly. The best predictor was chosen using a variety of impurity and diversity measures. For a parsimonious model, the number of cases to be present for a split must be > 5% of the sample. Thus, the stopping rules for the iterative process were: the tree should have a maximum of three levels; a minimum of 10 cases were to be present for a split to be calculated; and any given split should not generate a group with fewer than two cases. This allowed sequential analysis of variables to predict the risk of CUA. Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. RESULTS A total of 96 IUGR fetuses delivered between 28 and 34 weeks’ gestation fulfilled the inclusion criteria and were recruited consecutively. Among them, six cases (two stillbirths and four neonatal deaths) were excluded, leaving a total of 90 cases that were matched by gestational age at birth with 90 controls, resulting in a final population of 180 fetuses for analysis. The proportion of IUGR fetuses with MCA vasodilation, increased MPI, A/REDV in the UA, AoI retrograde net blood flow and A/REDV in the DV were 75.6%, 67.8%, 42.2%, 26.7% and 7.8%, respectively. The primary indications for delivery were abnormalities in DV (n = 7), decelerative cardiotocography (n = 11), abnormal biophysical profile (n = 11), A/REDV in the UA (n = 35) and maternal complications secondary to PE (n = 26). Ultrasound Obstet Gynecol 2015; 46: 452–459. 456 Cruz-Martinez et al. (a) 100 (b) 100 *† 80 *† 70 60 50 40 * 30 20 90 Frequency of abnormality (%) Frequency of abnormality (%) 90 * Late CUA *† 60 50 40 * 30 20 0 Any CUA * Late CUA Any CUA (d) 60 *† 50 40 *† 30 20 10 0 Late CUA Any CUA Frequency of abnormality (%) (c) Frequency of abnormality (%) *† 70 10 10 0 80 60 * 50 40 * * 30 20 * 10 0 Late CUA Any CUA Figure 3 Frequency of late ultrasound-detected cranial abnormalities (CUA) and any CUA in 90 control fetuses and 90 fetuses with intrauterine growth restriction (IUGR), with or without: (a) abnormal ductus venosus (DV) ( , controls; , IUGR, normal DV; , IUGR, absent/reversed DV); (b) aortic isthmus (AoI) retrograde net blood flow ( , controls; , IUGR, antegrade AoI; , IUGR, retrograde AoI); (c) middle cerebral artery (MCA) vasodilation ( , controls; , IUGR, normal MCA; , IUGR, MCA vasodilation); (d) absent/reversed end-diastolic flow in the umbilical artery (UA) ( , controls; , IUGR, antegrade UA; , IUGR, absent/reversed UA). *P < 0.05 compared to controls. †P < 0.05 among IUGR fetuses. Table 1 shows maternal and neonatal clinical characteristics of the population. According to our matched design, gestational age at delivery was similar between cases and controls. When compared with controls, in all IUGR fetuses there was a higher frequency of CUA (40.0% vs 12.2%, respectively; P < 0.001; Table 2). Among IUGR fetuses, transient periventricular echodensities were the most frequent CUA (36.7%), followed by IVH (22.2%), PVL (20.0%) and BGL (14.4%). In 25.6% of the IUGR group, neonatal CUA persisted until 40 weeks of corrected postnatal age. Gestational age at birth was correlated negatively with the risk of each CUA for both cases and controls, but decision tree analysis identified the highest risk in neonates who were delivered < 30 weeks. Within the IUGR group, in fetuses delivered < 30 weeks there was a significantly higher frequency of IVH and late CUA than in those delivered ≥ 30 weeks (Figure 1). Figures 2 and 3 show the frequency of each neonatal CUA among controls and IUGR fetuses, classified according to presence or absence of each fetal Doppler abnormality. Within the IUGR group, presence of MCA vasodilation was associated significantly with a risk of Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. IVH and BGL, A/REDV in the DV with a risk of PVL and IVH, and AoI retrograde net blood flow with a higher risk of each CUA. A/REDV in the UA was associated significantly only with a risk of IVH. IUGR fetuses with increased or normal MPI had similar respective risks of BGL (14.8% vs 13.8%; P = 0.86), PVL (19.7% vs 20.7%; P = 0.96), IVH (23.0% vs 20.7%; P = 0.61), any CUA (41.0% vs 37.9%; P = 0.61) or late CUA (26.2% vs 24.1%; P = 0.46). Table 3 shows the odds ratios of each CUA according to gestational age at birth and each fetal Doppler parameter, using controls as the reference group. Decision tree analysis (Figure 4) identified fetal Doppler parameters rather than gestational age at birth as the best predictor of either any or late CUA, profiling three groups with increasing risks. MCA Doppler was selected as the initial predictor, discriminating a group with the lowest risk of any CUA (13.6% in IUGR fetuses with normal MCA Doppler vs 48.5% in those with MCA vasodilation; P < 0.01) and late CUA (9.1% with normal MCA vs 30.9% with MCA vasodilation; P < 0.05). In the subgroup with abnormal MCA Doppler, presence of AoI retrograde net blood flow identified a subgroup Ultrasound Obstet Gynecol 2015; 46: 452–459. 457 Abnormal Doppler in IUGR fetuses and neonatal brain abnormality Table 3 Odds ratios (OR) of ultrasound-detected cranial abnormalities (CUA) in 90 fetuses with intrauterine growth restriction, according to gestational age (GA) at birth and fetal Doppler parameters, referenced against control group of normal fetuses Dependent variables Intraventricular hemorrhage GA at birth < 30 weeks 6.00 (1.94–18.50) AoI retrograde flow 4.82 (1.62–14.40) MCA vasodilation 3.58 (1.48–8.63) A/REDV in the UA 4.94 (1.89–12.94) A/REDV in the DV 10.10 (1.89–53.95) Increased MPI 2.97 (1.17–7.52) Periventricular leukomalacia Basal ganglia lesions 3.95 (1.11–14.10) 6.83 (2.18–21.40) 3.37 (1.29–8.84) 4.07 (1.41–11.77) 14.60 (2.66–79.90) 3.04 (1.11–8.29) Any CUA 4.89 (0.65–37.02) 7.18 (2.44–21.10) 37.50 (4.27–328.70) 13.40 (4.61–39.00) 10.40 (2.26–47.86) 7.12 (3.18–15.90) 9.91 (1.94–50.56) 6.84 (2.77–16.92) 17.40 (1.93–154.40) 37.70 (4.08–348.90) 7.73 (1.60–37.29) 5.63 (2.44–12.99) Late CUA 44.00 (8.42–229.80) 57.40 (11.20–293.60) 21.40 (4.72–96.90) 21.50 (4.49–103.10) 94.60 (10.60–846.60) 18.90 (4.06–88.50) Data are given as OR (95% CI). A/REDV, absent/reversed end-diastolic velocity; AoI, aortic isthmus; DV, ductus venosus; MCA, middle cerebral artery; MPI, myocardial performance index; UA, umbilical artery. IUGR (n = 90) Any CUA (40% (36/90)) Late CUA (25.6% (23/90)) MCA Normal MCA-PI (n = 22) Abnormal MCA-PI (n = 68) Any CUA (13.6% (n = 3)) P = 0.003 Any CUA (48.5% (n = 33)) Late CUA (9.1% (n = 2)) P = 0.04 Late CUA (30.9% (n = 21)) AoI AoI antegrade net blood flow (n = 44) AoI retrograde net blood flow (n = 24) Any CUA (38.6% (n = 17)) P = 0.03 Any CUA (66.7% (n = 16)) Late CUA (15.9% (n = 7)) P < 0.001 Late CUA (58.3% (n = 14)) Figure 4 Clinical algorithm for prediction of any ultrasound-detected cranial abnormalities (CUA) and late CUA in fetuses with intrauterine growth restriction (IUGR). AoI, aortic isthmus; MCA, middle cerebral artery; PI, pulsatility index. of cases with a significantly higher risk of any CUA (66.7% vs 38.6% in IUGR fetuses with antegrade AoI; P < 0.05) and late CUA (58.3% vs 15.9%, respectively; P < 0.001). Detection and false-positive rates for any CUA using MCA were 91.7% and 64.8% as compared to 44.4% and 14.8% using aortic isthmus. For late CUA, the detection rate was 91.3% at a false-positive rate of 70.1% with MCA, and 60.9% at a false-positive rate of 14.9% with AoI. DISCUSSION Studies in recent decades have shown that gestational age at birth is the major determinant of mortality and adverse neurological outcome among fetuses with early-onset IUGR. Thus, regardless of abnormal fetal Doppler parameters, delivery before 28 weeks’ gestation Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. seems to be associated with exceedingly high rates of mortality23,45 and neurological morbidity10 , irrespective of management protocols. Beyond 28 weeks, mortality declines abruptly but there is no specific information on the prevalence of neurological morbidity and its associated factors. In order to address this question, this study was designed to include only fetuses born between 28 and 34 weeks’ gestation. We examined the value of gestational age at birth and fetal Doppler parameters in predicting neonatal CUA, which is considered a sentinel sign for later neurological disability4 – 9 . Our study provides evidence that fetal Doppler parameters are a stronger predictor of CUA than is gestational age at birth in early-onset IUGR neonates delivered between 28 and 34 weeks’ gestation. The results of the study with respect to Doppler indices in the UA and DV are in line with previous literature. A/REDV in the UA is a surrogate sign for severe Ultrasound Obstet Gynecol 2015; 46: 452–459. 458 placental dysfunction12 . In this study, UA Doppler as an independent factor was associated with a significantly higher risk of IVH, but not with PVL or BGL, in IUGR fetuses. When integrated in the decision tree analysis, UA Doppler did not provide additional value. These findings are in line with previous research indicating that UA Doppler has a modest predictive capacity for neurological morbidity11,46,47 . Longitudinal studies suggest that fetal Doppler parameters change progressively during fetal deterioration, which might provide opportunities for their combined use in clinical algorithms48 – 50 . Thus, DV becomes abnormal at later stages of fetal compromise. This index is now accepted widely as the best parameter for prediction of perinatal death10,14,15,45 , but there are conflicting views on its role in the prediction of neurological morbidity. Baschat et al., in a recent large multicenter study including 604 early-onset IUGR fetuses, reported a relative risk (RR) of 1.3 for neonatal morbidity in fetuses with A/REDV in the DV11 . In this study, DV showed an individual association with a significantly higher risk of IVH and PVL but did not provide any additional value when MCA and AoI were included in the model. Concerning brain Doppler, the multicenter study of Baschat et al. reported an RR of 3.3 for neonatal morbidity in fetuses with abnormal MCA Doppler11 . Along the same line, Meyberg-Solomayer et al.51 demonstrated that the combined presence of abnormal UA with MCA Doppler identified neonates with a 38% risk of neonatal ventriculomegaly. In keeping with this contention, we and others demonstrated previously that early-onset IUGR fetuses with MCA vasodilation52 and those with AoI retrograde net blood flow24,25 have poorer neurodevelopmental capabilities. This study confirms previous results, signifying the value of fetal Doppler parameters in predicting the risk of neurological morbidity. The findings demonstrate that a combination of MCA and AoI had an additive effect in predicting CUA, which is considered clinically as an important contributor to the risk of neurodevelopmental delay in cognitive function and attention capacity and in visual impairment4 – 9 . Thus, the risk of CUA increased from 14% when both parameters were normal to 67% when both were abnormal. These data add to the body of evidence that increased brain perfusion is not an entirely protective mechanism. Of note, IUGR fetuses with normal MCA Doppler were similarly at risk of CUA when compared to normal preterm newborns, reflecting its high negative predictive value. From a clinical perspective, the prediction of neurological morbidity is a major challenge in modern obstetrics and lays the basis for timely delivery and future preventive interventions. The results of this study suggest that AoI Doppler might be useful to improve timely delivery beyond 28 weeks’ gestation. The data support that, for the same gestational age, AoI Doppler constitutes a strong predictor of neonatal brain abnormality. While these results should be confirmed by long-term follow-up studies, the findings support the future use of AoI Doppler Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. Cruz-Martinez et al. in clinical decision-making for early-onset IUGR fetuses beyond 28 weeks’ gestation. Aside from the contribution to clinical management, profiling a subgroup with the highest neurological risk could provide clues for targeted interventions. This may include selecting cases for which further neuroimaging would be useful53 or those that would benefit from closer follow-up and early individualized intervention, in view of the effectiveness shown by these strategies on white matter development54 and short-term neurobehavioral dysfunction55 – 57 . The strengths of this study are inclusion of cases at a well-defined gestational-age range and inclusion of most available Doppler indices in an integrated manner. In addition, MCA and AoI Doppler were not used as criteria for elective delivery. Concerning potential limitations of the study, it must be acknowledged that the sample size might have prevented detection of true associations in very small subgroups, particularly for predictors such as absent/reversed atrial flow in the DV which were present in a small subset of cases. We acknowledge that the clinical feasibility of complex Doppler evaluation requires experience and formal training to ensure reliability. However, there is enough evidence supporting the reproducibility of all Doppler indices evaluated here, if acquired by experienced operators. Although the high false-positive rate of individual Doppler parameters may limit the utility of their predictive value, the incorporation of Doppler parameters into our clinical algorithm decreased the false-positive rate for late CUA from 70% to 15%. In conclusion, our study offers new evidence demonstrating that beyond 28 weeks’ gestation early-onset IUGR is associated with a considerable proportion of CUA and that fetal Doppler is the main predictor of neonatal brain abnormality. These results should be further confirmed by other groups and complemented by long-term follow-up studies. ACKNOWLEDGMENTS The study was supported by grants from the Fondo de Investigación Sanitaria (PI/060347) (Spain), Cerebra Foundation for the Brain Injured Child (Carmarthen, Wales, UK) and Thrasher Research Fund (Salt Lake City, USA). R.C.M. was supported by the Mexican National Council for Science and Technology (CONACyT). REFERENCES 1. Bernstein IM, Horbar JD, Badger GJ, Ohlsson A, Golan A. Morbidity and mortality among very-low-birth-weight neonates with intrauterine growth restriction. The Vermont Oxford Network. Am J Obstet Gynecol 2000; 182: 198–206. 2. Padilla-Gomes NF, Enriquez G, Acosta-Rojas R, Perapoch J, Hernandez-Andrade E, Gratacos E. Prevalence of neonatal ultrasound brain lesions in premature infants with and without intrauterine growth restriction. Acta Paediatr 2007; 96: 1582–1587. 3. Tolsa CB, Zimine S, Warfield SK, Freschi M, Sancho Rossignol A, Lazeyras F, Hanquinet S, Pfizenmaier M, Huppi PS. Early alteration of structural and functional brain development in premature infants born with intrauterine growth restriction. Pediatr Res 2004; 56: 132–138. 4. Bennett FC, Silver G, Leung EJ, Mack LA. Periventricular echodensities detected by cranial ultrasonography: usefulness in predicting neurodevelopmental outcome in low-birth-weight, preterm infants. Pediatrics 1990; 85: 400–404. 5. Dyet LE, Kennea N, Counsell SJ, Maalouf EF, Ajayi-Obe M, Duggan PJ, Harrison M, Allsop JM, Hajnal J, Herlihy AH, Edwards B, Laroche S, Cowan FM, Rutherford Ultrasound Obstet Gynecol 2015; 46: 452–459. Abnormal Doppler in IUGR fetuses and neonatal brain abnormality 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. MA, Edwards AD. Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment. Pediatrics 2006; 118: 536–548. Eken P, van Nieuwenhuizen O, van der Graaf Y, Schalij-Delfos NE, de Vries LS. Relation between neonatal cranial ultrasound abnormalities and cerebral visual impairment in infancy. Dev Med Child Neurol 1994; 36: 3–15. Van den Hout BM, Eken P, Van der Linden D, Wittebol-Post D, Aleman S, Jennekens-Schinkel A, Van der Schouw YT, De Vries LS, Van Nieuwenhuizen O. Visual, cognitive, and neurodevelopmental outcome at 51/2 years in children with perinatal haemorrhagic-ischaemic brain lesions. Dev Med Child Neurol 1998; 40: 820–828. van den Hout BM, Stiers P, Haers M, van der Schouw YT, Eken P, Vandenbussche E, van Nieuwenhuizen O, de Vries LS. Relation between visual perceptual impairment and neonatal ultrasound diagnosis of haemorrhagic-ischaemic brain lesions in 5-year-old children. Dev Med Child Neurol 2000; 42: 376–386. Vohr B, Garcia Coll C, Flanagan P, Oh W. Effects of intraventricular hemorrhage and socioeconomic status on perceptual, cognitive, and neurologic status of low birth weight infants at 5 years of age. J Pediatr 1992; 121: 280–285. Baschat AA, Cosmi E, Bilardo CM, Wolf H, Berg C, Rigano S, Germer U, Moyano D, Turan S, Hartung J, Bhide A, Muller T, Bower S, Nicolaides KH, Thilaganathan B, Gembruch U, Ferrazzi E, Hecher K, Galan HL, Harman CR. Predictors of neonatal outcome in early-onset placental dysfunction. Obstet Gynecol 2007; 109: 253–261. Baschat AA, Viscardi RM, Hussey-Gardner B, Hashmi N, Harman C. Infant neurodevelopment following fetal growth restriction: relationship with antepartum surveillance parameters. Ultrasound Obstet Gynecol 2009; 33: 44–50. Figueras F, Gardosi J. Intrauterine growth restriction: new concepts in antenatal surveillance, diagnosis, and management. Am J Obstet Gynecol 2011; 204: 288–300. Kiserud T, Kessler J, Ebbing C, Rasmussen S. Ductus venosus shunting in growth-restricted fetuses and the effect of umbilical circulatory compromise. Ultrasound Obstet Gynecol 2006; 28: 143–149. Ferrazzi E, Bozzo M, Rigano S, Bellotti M, Morabito A, Pardi G, Battaglia FC, Galan HL. Temporal sequence of abnormal Doppler changes in the peripheral and central circulatory systems of the severely growth-restricted fetus. Ultrasound Obstet Gynecol 2002; 19: 140–146. Hecher K, Bilardo CM, Stigter RH, Ville Y, Hackeloer BJ, Kok HJ, Senat MV, Visser GH. Monitoring of fetuses with intrauterine growth restriction: a longitudinal study. Ultrasound Obstet Gynecol 2001; 18: 564–570. Leppanen M, Ekholm E, Palo P, Maunu J, Munck P, Parkkola R, Matomaki J, Lapinleimu H, Haataja L, Lehtonen L, Rautava P. Abnormal antenatal Doppler velocimetry and cognitive outcome in very-low-birth-weight infants at 2 years of age. Ultrasound Obstet Gynecol 2010; 36: 178–185. Morsing E, Asard M, Ley D, Stjernqvist K, Marsal K. Cognitive function after intrauterine growth restriction and very preterm birth. Pediatrics 2011; 127: e874–882. Brodszki J, Morsing E, Malcus P, Thuring A, Ley D, Marsal K. Early intervention in management of very preterm growth-restricted fetuses: 2-year outcome of infants delivered on fetal indication before 30 gestational weeks. Ultrasound Obstet Gynecol 2009; 34: 288–296. Arbeille P, Maulik D, Fignon A, Stale H, Berson M, Bodard S, Locatelli A. Assessment of the fetal PO2 changes by cerebral and umbilical Doppler on lamb fetuses during acute hypoxia. Ultrasound Med Biol 1995; 21: 861–870. Baschat AA, Gembruch U, Viscardi RM, Gortner L, Harman CR. Antenatal prediction of intraventricular hemorrhage in fetal growth restriction: what is the role of Doppler? Ultrasound Obstet Gynecol 2002; 19: 334–339. Habek D, Jugovic D, Hodek B, Herman R, Maticevic A, Habek JC, Pisl Z, Salihagic A. Fetal biophysical profile and cerebro-umbilical ratio in assessment of brain damage in growth restricted fetuses. Eur J Obstet Gynecol Reprod Biol 2004; 114: 29–34. Crispi F, Hernandez-Andrade E, Pelsers MM, Plasencia W, Benavides-Serralde JA, Eixarch E, Le Noble F, Ahmed A, Glatz JF, Nicolaides KH, Gratacos E. Cardiac dysfunction and cell damage across clinical stages of severity in growth-restricted fetuses. Am J Obstet Gynecol 2008; 199: 254 e251–258. Hernandez-Andrade E, Crispi F, Benavides-Serralde JA, Plasencia W, Diesel HF, Eixarch E, Acosta-Rojas R, Figueras F, Nicolaides K, Gratacós E. Contribution of the myocardial performance index and aortic isthmus blood flow index to predicting mortality in preterm growth-restricted fetuses. Ultrasound Obstet Gynecol 2009; 34: 430–436. Del Rio M, Martinez JM, Figueras F, Bennasar M, Olivella A, Palacio M, Coll O, Puerto B, Gratacos E. Doppler assessment of the aortic isthmus and perinatal outcome in preterm fetuses with severe intrauterine growth restriction. Ultrasound Obstet Gynecol 2008; 31: 41–47. Fouron JC, Gosselin J, Raboisson MJ, Lamoureux J, Tison CA, Fouron C, Hudon L. The relationship between an aortic isthmus blood flow velocity index and the postnatal neurodevelopmental status of fetuses with placental circulatory insufficiency. Am J Obstet Gynecol 2005; 192: 497–503. Figueras F, Meler E, Iraola A, Eixarch E, Coll O, Figueras J, Francis A, Gratacos E, Gardosi J. Customized birthweight standards for a Spanish population. Eur J Obstet Gynecol Reprod Biol 2008; 136: 20–24. Arduini D, Rizzo G. Normal values of Pulsatility Index from fetal vessels: a cross-sectional study on 1556 healthy fetuses. J Perinat Med 1990; 18: 165-172. Robinson HP, Fleming JE. A critical evaluation of sonar ‘‘crown-rump length’’ measurements. Br J Obstet Gynaecol 1975; 82: 702–710. Del Rio M, Martinez JM, Figueras F, Bennasar M, Palacio M, Gomez O, Coll O, Puerto B, Cararach V. Doppler assessment of fetal aortic isthmus blood flow in two different sonographic planes during the second half of gestation. Ultrasound Obstet Gynecol 2005; 26: 170–174. Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd. 459 30. Hernandez-Andrade E, Lopez-Tenorio J, Figueroa-Diesel H, Sanin-Blair J, Carreras E, Cabero L, Gratacos E. A modified myocardial performance (Tei) index based on the use of valve clicks improves reproducibility of fetal left cardiac function assessment. Ultrasound Obstet Gynecol 2005; 26: 227–232. 31. Hecher K, Campbell S, Snijders R, Nicolaides K. Reference ranges for fetal venous and atrioventricular blood flow parameters. Ultrasound Obstet Gynecol 1994; 4: 381–390. 32. Del Rio M, Martinez JM, Figueras F, Lopez M, Palacio M, Gomez O, Coll O, Puerto B. Reference ranges for Doppler parameters of the fetal aortic isthmus during the second half of pregnancy. Ultrasound Obstet Gynecol 2006; 28: 71–76. 33. Cruz-Martinez R, Figueras F, Bennasar M, Garcia-Posadas R, Crispi F, Hernandez-Andrade E, Gratacos E. Normal reference ranges from 11 to 41 weeks’ gestation of fetal left modified myocardial performance index by conventional Doppler with the use of stringent criteria for delimitation of the time periods. Fetal Diagn Ther 2012; 32: 79–86. 34. Baschat AA, Gembruch U. The cerebroplacental Doppler ratio revisited. Ultrasound Obstet Gynecol 2003; 21: 124–127. 35. ACOG practice bulletin. Diagnosis and management of PE and eclampsia. Number 33, January 2002. Obstet Gynecol 2002; 99: 159–167. 36. Report of the National High Blood Pressure Education Program Working Group on High Blood Pressure in Pregnancy. Am J Obstet Gynecol 2000; 183: S1-S22. 37. Altaf S, Oppenheimer C, Shaw R, Waugh J, Dixon-Woods M. Practices and views on fetal heart monitoring: a structured observation and interview study. BJOG 2006; 113: 409–418. 38. Manning FA, Platt LD, Sipos L. Antepartum fetal evaluation: development of a fetal biophysical profile. Am J Obstet Gynecol 1980; 136: 787–795. 39. Gregg AR, Weiner CP. ‘‘Normal’’ umbilical arterial and venous acid-base and blood gas values. Clin Obstet Gynecol 1993; 36: 24–32. 40. van Wezel-Meijler G, van der Knaap MS, Sie LT, Oosting J, van Amerongen AH, Cranendonk A, Lafeber HN. Magnetic resonance imaging of the brain in premature infants during the neonatal period. Normal phenomena and reflection of mild ultrasound abnormalities. Neuropediatrics 1998; 29: 89–96. 41. Pisani F, Leali L, Moretti S, Turco E, Volante E, Bevilacqua G. Transient periventricular echodensities in preterms and neurodevelopmental outcome. J Child Neurol 2006; 21: 230–235. 42. de Vries LS, Eken P, Dubowitz LM. The spectrum of leukomalacia using cranial ultrasound. Behav Brain Res 1992; 49: 1–6. 43. Volpe JJ. Intracranial hemorrhage: germinal matrix-intraventricular hemorrhage of the premature infant. In: Neurology of the newborn, (3rd edn), Volpe JJ (ed). W. B. Saunders: Philadelphia, PA, 1995; 403–463. 44. Shih Y. Families of splitting criteria for classification tress. Statistics and Computing 1999; 9: 309–315. 45. Cruz-Lemini M, Crispi F, Van Mieghem T, Pedraza D, Cruz-Martinez R, Acosta-Rojas R, Figueras F, Parra-Cordero M, Deprest J, Gratacos E. Risk of perinatal death in early-onset intrauterine growth restriction according to gestational age and cardiovascular Doppler indices: a multicenter study. Fetal Diagn Ther 2012; 32: 116–122. 46. Gonzalez JM, Stamilio DM, Ural S, Macones GA, Odibo AO. Relationship between abnormal fetal testing and adverse perinatal outcomes in intrauterine growth restriction. Am J Obstet Gynecol 2007; 196: e48–51. 47. Shand AW, Hornbuckle J, Nathan E, Dickinson JE, French NP. Small for gestational age preterm infants and relationship of abnormal umbilical artery Doppler blood flow to perinatal mortality and neurodevelopmental outcomes. Aust N Z J Obstet Gynaecol 2009; 49: 52–58. 48. Rizzo G, Capponi A, Vendola M, Pietrolucci ME, Arduini D. Relationship between aortic isthmus and ductus venosus velocity waveforms in severe growth restricted fetuses. Prenat Diagn 2008; 28: 1042–1047. 49. Figueras F, Benavides A, Del Rio M, Crispi F, Eixarch E, Martinez JM, Hernandez-Andrade E, Gratacos E. Monitoring of fetuses with intrauterine growth restriction: longitudinal changes in ductus venosus and aortic isthmus flow. Ultrasound Obstet Gynecol 2009; 33: 39–43. 50. Cruz-Martinez R, Figueras F, Benavides-Serralde A, Crispi F, Hernandez-Andrade E, Gratacos E. Sequence of changes in myocardial performance index in relation to aortic isthmus and ductus venosus Doppler in fetuses with early-onset intrauterine growth restriction. Ultrasound Obstet Gynecol 2011; 38: 179–184. 51. Meyberg-Solomayer GC, Soen M, Speer R, Poets C, Goelz R, Wallwiener D, Solomayer EF. Pathological prenatal Doppler sonography findings and their association with neonatal cranial ultrasound abnormalities in a high risk collective. Ultrasound Med Biol 2008; 34: 1193–1199. 52. Figueras F, Cruz-Martinez R, Sanz-Cortes M, Arranz A, Illa M, Botet F, CostasMoragas C, Gratacos E. Neurobehavioral outcomes in preterm, growth-restricted infants with and without prenatal advanced signs of brain-sparing. Ultrasound Obstet Gynecol 2011; 38: 288–294. 53. Roelants-van Rijn AM, Groenendaal F, Beek FJ, Eken P, van Haastert IC, de Vries LS. Parenchymal brain injury in the preterm infant: comparison of cranial ultrasound, MRI and neurodevelopmental outcome. Neuropediatrics 2001; 32: 80–89. 54. Als H, Duffy FH, McAnulty GB, Rivkin MJ, Vajapeyam S, Mulkern RV, Warfield SK, Huppi PS, Butler SC, Conneman N, Fischer C, Eichenwald EC. Early experience alters brain function and structure. Pediatrics 2004; 113: 846–857. 55. Buehler DM, Als H, Duffy FH, McAnulty GB, Liederman J. Effectiveness of individualized developmental care for low-risk preterm infants: behavioral and electrophysiologic evidence. Pediatrics 1995; 96: 923–932. 56. Barnett W. Long-term effects of early childhood programs on cognitive and school outcomes. Future Child 1995; 5: 25–50. 57. Yoshikawa H. Long-term effects of early childhood programs on social outcomes and delinquency. Future Child 1995; 5: 51–75. Ultrasound Obstet Gynecol 2015; 46: 452–459.
© Copyright 2025 Paperzz