Maternal and neonatal outcomes of macrosomic pregnancies

Weissmann-Brenner, Alina; Simchen, Michal J.; Zilberberg, Eran; Kalter, Anat; Weisz, Boaz; Achiron, R.; Dulitzky, Mordechai

doi:10.12659/msm.883340

Cited by 53 publications

(60 citation statements)

References 16 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is well known that fetuses with macrosomia are associated with higher rates of shoulder dystocia, brachial plexus, fetal asphyxia, prolonged labor, surgical delivery and postpartum hemorrhagia [24,25]. Therefore, the precise prediction of fetal weight in macrosomic fetuses is extremely important to prevent these complications.…”

Section: Discussionmentioning

confidence: 99%

Finding the Best Formula to Predict the Fetal Weight: Comparison of 18 Formulas

Esinler

Bircan

Esin

et al. 2015

Gynecol Obstet Invest

View full text Add to dashboard Cite

Background: To compare the accuracy of 18 formulas in predicting fetal weight and also to make a comparison of these formulas in low-birth-weight fetuses (<2,500 g) and in fetuses weighing >4,000 g. Methods: Four-hundred-and-ninety-five pregnant patients were enrolled. The estimated fetal weight was calculated using 18 different formulas. The mean percentage error, the mean absolute percentage error and reliability analysis were used to compare the performance of the formulas. Results: The Cronbach's alpha was the highest in the formulas Hadlock I (0.977 (95% CI = 0.972-0.980)), Hadlock III (0.977 (95% CI = 0.972-0.980)) and Ott (0.975 (95% CI = 0.970-0.979)) in all fetuses. It was the highest in formulas Ott (0.383 (95% CI = 0.091-0.581)), Hadlock IV (0.371 (95% CI = 0.074-0.572)) and Combs (0.369 (95% CI = 0.071-0.571)) in fetuses >4,000 g. It was the highest in formulas Coombs (0.957 (95% CI = 0.940-0.569)), Ott (0.956 (95% CI = 0.939-0.968)) and Hadlock IV (95% CI = 0.956 (0.938-0.968)) in fetuses <2,500 g. Conclusion: We noted that formulas Hadlock I, Hadlock III and Ott may be used to predict the estimated fetal weight accurately in all fetuses in our study. Formulas Ott, Hadlock IV and Coombs may be preferred to predict EFW in fetuses <2,500 g and >4,000 g. Better formulas should be developed to predict the fetal weight in fetuses >4,000 g.

show abstract

Section: Discussionmentioning

confidence: 99%

Finding the Best Formula to Predict the Fetal Weight: Comparison of 18 Formulas

Esinler

Bircan

Esin

et al. 2015

Gynecol Obstet Invest

View full text Add to dashboard Cite

show abstract

“…To calculate individual risks, prognostic models have been developed for various maternal and fetal outcomes [1]. Fetal size is an important predictor in several models, since both small and large for gestational age fetuses are at increased risk of perinatal mortality and morbidity [2, 3]. …”

Section: Introductionmentioning

confidence: 99%

Validation of Reference Charts for Mid-Trimester Fetal Biometry

et al. 2018

View full text Add to dashboard Cite

Objective: The aim of our study was to assess charts proposed for international use in the Intergrowth-21st Project. Methods: Ultrasound data were collected from 43,923 healthy singleton pregnancies examined at 18–23 weeks of gestation in the Netherlands. Fetal measurements were converted into Z-scores using previous and current Dutch reference charts and Intergrowth charts. The distributions of the Z-scores were compared with the expected standard normal distribution. Results: In the Dutch population, Intergrowth curves perform well for head circumference and biparietal diameter, but not for abdominal circumference (AC, Z- score = 0.43) and femur length (FL, Z-score = 0.26). Similar findings have been reported in other European countries. Compared with the population in the Intergrowth study, Dutch women are relatively tall (170 vs. 162 cm) and sturdy (67 vs. 61 kg) with a moderately high BMI. Maternal size, in particular maternal height, is positively correlated with birthweight. Conclusions: Whilst the establishment of the Intergrowth charts is an important step towards worldwide uniformity, for now locally derived charts still perform better, especially for AC and FL. Results from our validation study indicate that distinction between normal and pathologically small babies may be improved by taking maternal size into account.

show abstract

“…We interpreted each PAF estimate to be the reduction in LGA or macrosomia prevalence that would be expected if all women who had excess GWG had an LGA risk equal to that of women who had appropriate GWG, assuming that the risk for LGA among those with appropriate GWG remained unchanged (Levine, 2008). We adjusted for prepregnancy BMI, maternal age, race/ethnicity and parity in the logistic models and PAF because they have been shown to be independently associated with GWG and LGA (Weissmann-Brenner et al, 2012; Deputy et al, 2015). …”

Section: Methodsmentioning

confidence: 99%

“…Infants born too large are at greater risk for birth trauma, longer hospital stays, postpartum hemorrhage for the mother, and neonatal death (Weissmann-Brenner et al, 2012). Large birth size also elevates the risk of adverse metabolic outcomes later in life, including higher risk for metabolic diseases such as obesity, dyslipidemia, hypertension, and type 2 diabetes (Schellong et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Preventing large birth size in women with preexisting diabetes mellitus: The benefit of appropriate gestational weight gain

Kim

Sharma

Sappenfield

et al. 2016

Preventive Medicine

View full text Add to dashboard Cite

Objective To estimate the percentage of infants with large birth size attributable to excess gestational weight gain (GWG), independent of prepregnancy body mass index, among mothers with preexisting diabetes mellitus (PDM). Study design We analyzed 2004–2008 Florida linked birth certificate and maternal hospital discharge data of live, term (37–41 weeks) singleton deliveries (N = 641,857). We calculated prevalence of large-for-gestational age (LGA) (birth weight-for-gestational age ≥ 90th percentile) and macrosomia (birth weight > 4500 g) by GWG categories (inadequate, appropriate, or excess). We used multivariable logistic regression to estimate the relative risk (RR) of large birth size associated with excess compared to appropriate GWG among mothers with PDM. We then estimated the population attributable fraction (PAF) of large birth size due to excess GWG among mothers with PDM (n = 4427). Results Regardless of diabetes status, half of mothers (51.2%) gained weight in excess of recommendations. Large birth size was higher in infants of mothers with PDM than in infants of mothers without diabetes (28.8% versus 9.4% for LGA, 5.8% versus 0.9% for macrosomia). Among women with PDM, the adjusted RR of having an LGA infant was 1.7 (95% CI 1.5, 1.9) for women with excess GWG compared to those with appropriate gain; the PAF was 27.7% (95% CI 22.0, 33.3). For macrosomia, the adjusted RR associated with excess GWG was 2.1 (95% CI 1.5, 2.9) and the PAF was 38.6% (95% CI 24.9, 52.4). Conclusion Preventing excess GWG may avert over one-third of macrosomic term infants of mothers with PDM. Effective strategies to prevent excess GWG are needed.

show abstract

Maternal and neonatal outcomes of macrosomic pregnancies

Cited by 53 publications

References 16 publications

Finding the Best Formula to Predict the Fetal Weight: Comparison of 18 Formulas

Finding the Best Formula to Predict the Fetal Weight: Comparison of 18 Formulas

Validation of Reference Charts for Mid-Trimester Fetal Biometry

Preventing large birth size in women with preexisting diabetes mellitus: The benefit of appropriate gestational weight gain

Contact Info

Product

Resources

About