The association between pregnancies complicated with isolated polyhydramnios or oligohydramnios and offspring long-term gastrointestinal morbidity

Obstetric and neonatal outcomes in pregnant women with idiopathic polyhydramnios: a systematic review and meta-analysis

Although the assessment of the amniotic fluid volume in pregnancy is part of the fetal wellbeing surveillance, the impact of idiopathic polyhydramnios (IP) on maternal and perinatal outcomes in unknown. The aim of this meta-analysis was to investigate the association of IP with different maternal and perinatal outcomes. We screened five electronic databases until December 2023 and performed data extraction and quality assessment using ROBINS-E in duplicates. Pooled risk ratios and 95% confidence intervals (95% CI) were calculated with a random effects model. 38 studies were included. Patients with IP were at increased risk of perinatal complications including preterm delivery (RR 1.96, 95% CI 1.35-2.86; I2 = 92%), placental abruption (RR 3.20, 95% CI 2.20-4.65; I2 = 2%), delivery via caesarean section (RR 1.60, 95% CI 1.39-1.84; I2 = 95%) and postpartum haemorrhage (RR 1.98, 95% CI 1.22-3.22; I2 = 84%). Similarly, IP was associated with increased risk of adverse perinatal outcomes including low APGAR score (RR 3.0, 95% CI 1.23-7.35; I2 = 95%), stillbirth (RR 4.75, 95% CI 2.54-8.86; I2 = 9%) and perinatal mortality (RR 4.75, 95% CI 2.67-8.48; I2 = 37%). This meta-analysis suggests that pregnant women with IP may be at increased risk of perinatal complications and adverse neonatal outcomes. However, data remains inconclusive considering the low quality and high heterogeneity of included studies.PROSPERO registration number: CRD42022359944.

AFNet Algorithm for Automatic Amniotic Fluid Segmentation from Fetal MRI

Amniotic Fluid Volume (AFV) is a crucial fetal biomarker when diagnosing specific fetal abnormalities. This study proposes a novel Convolutional Neural Network (CNN) model, AFNet, for segmenting amniotic fluid (AF) to facilitate clinical AFV evaluation. AFNet was trained and tested on a manually segmented and radiologist-validated AF dataset. AFNet outperforms ResUNet++ by using efficient feature mapping in the attention block and transposing convolutions in the decoder. Our experimental results show that AFNet achieved a mean Intersection over Union (mIoU) of 93.38% on our dataset, thereby outperforming other state-of-the-art models. While AFNet achieves performance scores similar to those of the UNet++ model, it does so while utilizing merely less than half the number of parameters. By creating a detailed AF dataset with an improved CNN architecture, we enable the quantification of AFV in clinical practice, which can aid in diagnosing AF disorders during gestation.

Long-term digestive hospitalizations of premature infants (besides necrotizing enterocolitis): is there a critical threshold?

BACKGROUND

In this study we sought to ascertain a critical threshold of the degree of prematurity and long-term digestive morbidity of the offspring.

METHODS

A population-based cohort analysis was conducted, comparing long-term incidence of digestive morbidity in infants born preterm. Cases were divided into four groups according to the extremity of prematurity. Digestive morbidity included hospitalizations involving a predefined set of ICD9 codes. A Kaplan-Meier survival curve was constructed to compare cumulative incidence of digestive morbidity. A Cox proportional hazards model was used to control for confounders.

RESULTS

During the study period 220,563 patients met the inclusion criteria. Offspring born preterm had significantly more hospitalizations due to digestive morbidity compared to term offspring. The Kaplan-Meier survival curve demonstrated significant higher cumulative incidence of long-term digestive morbidity of the offspring with decreasing gestational age (Log rank p < 0.001). The risk was highest at 28 weeks gestation. Using a Cox proportional hazards model, being born at very and moderate to late preterm birth was independently associated with long-term digestive morbidity.

CONCLUSION

Preterm delivery is an independent risk factor for long-term digestive morbidity of the offspring. In our population, 28 weeks gestation is the critical cut-off for pronounced digestive morbidity.

Performance of diagnostic ultrasound to identify causes of hydramnios

INTRODUCTION

We aimed to assess the diagnostic yield of ultrasonography in the identification of the etiology of hydramnios, and the added value of MRI or amniocentesis.

METHODS

We conducted a single-center retrospective study including pregnancies with confirmed hydramnios (defined as deepest pocket ≥8 cm) between January 2013 and May 2017. Twin pregnancies, secondary hydramnios discovered after the diagnosis of a causal pathology, and pregnancies of unknown outcome were excluded. All pregnancies underwent a targeted scan, and selected cases underwent MRI or amniocentesis.

RESULTS

A total of 158 patients with confirmed hydramnios were included. Hydramnios was associated with a fetal pathology in 37 cases (23.4%), with diabetes in 39 (24.6%), isolated macrosomia in 16 (10.1%), and considered idiopathic in 66 (41.7%). Ultrasonography established a diagnosis of the underlying pathology in 73% of cases. Amniocentesis was done in 31 cases (20%) and it allowed diagnosis of chromosome anomalies, esophageal atresia, myotonic dystrophy congenital type, Prader-Willi syndrome, and Bartter syndrome. MRI was done in 15 cases (10%) and it allowed one additional diagnosis of esophageal atresia. The diagnostic yields of MRI and amniocentesis were 91.7% and 95.2%, respectively. There were five false positive diagnoses at ultrasonography, and one false positive diagnosis at MRI.

CONCLUSION

Hydramnios can be associated with a wide variety of underlying pathologies. Diagnostic ultrasound can attain a diagnosis in the majority of cases. Amniocentesis offers a valuable complementary assessment.