RESUMO
BACKGROUND: Fetal growth velocity is being recognized as an important parameter by which to monitor fetal wellbeing, in addition to assessment of fetal size. However, there are different models and standards in use by which velocity is being assessed. OBJECTIVE: We wanted to investigate 3 clinically applied methods of assessing growth velocity and their ability to identify stillbirth risk, in addition to that associated with small for gestational age. STUDY DESIGN: Retrospective analysis of prospectively recorded routine-care data of pregnancies with 2 or more third trimester scans in New Zealand. Results of the last 2 scans were used for the analysis. The models investigated to define slow growth were (1) 50+ centile drop between measurements, (2) 30+ centile drop, and (3) estimated fetal weight below a projected optimal weight range, based on predefined, scan interval specific cut-offs to define normal growth. Each method's ability to identify stillbirth risk was assessed against that associated with small-for-gestational age at last scan. RESULTS: The study cohort consisted of 71,576 pregnancies. The last 2 scans in each pregnancy were performed at an average of 32+1 and 35+6 weeks of gestation. The 3 models defined "slow growth" at the following differing rates: (1) 50-centile drop 0.9%, (2) 30-centile drop 5.1%, and (3) below projected optimal weight range 10.8%. Neither of the centile-based models identified at-risk cases that were not also small for gestational age at last scan. The projected weight range method identified an additional 79% of non-small-for-gestational-age cases as slow growth, and these were associated with a significantly increased stillbirth risk (relative risk, 2.0; 95% CI, 1.2-3.4). CONCLUSION: Centile-based methods fail to reflect adequacy of fetal weight gain at the extremes of the distribution. Guidelines endorsing such models might hinder the potential benefits of antenatal assessment of fetal growth velocity. A new, measurement-interval-specific projection model of expected fetal weight gain can identify fetuses that are not small for gestational age, yet at risk of stillbirth because of slow growth. The velocity between scans can be calculated using a freely available growth rate calculator (www.perinatal.org.uk/growthrate).
RESUMO
OBJECTIVES: This study aimed to analyze the height growth pattern and the incidence of significant growth deceleration in girls with CPP and EFP on GnRHa treatment, and thereby identify relevant predictors of growth deceleration. METHODS: The data of 99 girls diagnosed with CPP and 47 girls with EFP were included in this retrospective analysis. The incidence of growth deceleration was calculated in both the first and second years. Multivariate logistic regression analysis was used to identify predictors indicative of growth deceleration. RESULTS: Growth velocity (GV) trajectories showed gradual decreases to the nadir at 18 months of treatment, and then they recovered till the 24th month of treatment, especially in girls with CPP. Nevertheless, the recovery was significantly greater in the CPP group than EFP. In the first year, no significant difference in the incidence of growth deceleration was found between the CPP group and the EFP group [17.35 vs. 25.53â¯%, p=0.249]; in the second year, the CPP group had a lower incidence than the EFP group [42.86 vs. 76.92â¯%, p=0.027]. The multivariate logistic regression analysis suggested that bone age (BA) was an independent predictor of growth deceleration (OR=2.264, 95â¯% CI: 1.268-4.042, p=0.006). The result of ROC curves showed the cut-off value of BA was 11.05 years. CONCLUSIONS: GV varies at different periods during GnRHa treatment. GnRHa should be used with more caution for EFP treatment than for CPP. BA can be used to predict the occurrence of growth deceleration during GnRHa treatment.