Recent Advances in Fetal Medicine 2022

A special issue of Reproductive Medicine (ISSN 2673-3897).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 3238

Special Issue Editors


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Guest Editor
IRCCS San Raffaele Hospital and University, Via Olgettina 62, 20132 Milan, Italy
Interests: obstetrics; pregnancy complications; ultrasound; Doppler; fetal medicine and surgery; MRI; screening in pregnancy; congenital malformations; congenital heart defects; open spina bifida; fetal growth; preterm delivery; preeclampsia; pregnancy after medically assisted reproduction
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Obstetrics and Gynecology, “Carol Davila” University of Medicine and Pharmacy, 010164 Bucharest, Romania
Interests: fetal cardiac disease; coronavirus; cytomegalovirus; coxsackievirus; Toxoplasma gondii; flu viruses; HIV; rubella virus; Streptococcus; parvovirus B19; herpes virus
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

The field of fetal medicine is evolving rapidly and contributes majorly to modern obstetrics. From fetal anomalies with planned intrauterine or postnatal surgery to screening for complications of pregnancy such as pre-eclampsia, fetal growth restriction, and preterm birth, most fetal diagnoses present relevant implications and benefits of timely preventive interventions. As a result, advances in fetal medicine have contributed greatly to improving maternal and infant outcomes.

The aim of this Special Issue of Reproductive Medicine is to explore current advances in the field of fetal medicine, including early diagnosis of fetal abnormalities, screening and diagnosis of chromosomal defects and genetic syndromes, intrauterine treatment and surgery, placental anomalies, screening and interventions to prevent preeclampsia, fetal growth restriction, stillbirth, preterm delivery and management of obstetric problems of multiple pregnancies, assisted reproductive techniques, and maternal disease. Submission of unpublished original studies is welcome, including fundamental and clinical research studies, observational and interventional studies, and randomized controlled trials and reviews, with an emphasis on relevant clinical questions and quantitative syntheses (meta-analyses) of pooled data. Authors are invited to contact the Editorial Team in advance if they require assistance for the preparation of their manuscript.

Dr. Paolo Ivo Cavoretto
Dr. Anca Maria Panaitescu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Reproductive Medicine is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • early fetal diagnosis
  • intrauterine fetal treatment
  • medical complications of pregnancy
  • multiple pregnancy
  • genetic diagnosis
  • early pregnancy ultrasound scan
  • obstetric ultrasound
  • fetal MRI

Published Papers (1 paper)

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Research

14 pages, 846 KiB  
Article
Identifying Risk Factors for Premature Birth in the UK Millennium Cohort Using a Random Forest Decision-Tree Approach
by David Waynforth
Reprod. Med. 2022, 3(4), 320-333; https://doi.org/10.3390/reprodmed3040025 - 09 Dec 2022
Cited by 2 | Viewed by 1738
Abstract
Prior research on causes of preterm birth has tended to focus on pathophysiological processes while acknowledging the role of socioeconomic indicators. The present research explored a wide range of factors plausibly associated with preterm birth informed by pathophysiological and evolutionary life history perspectives [...] Read more.
Prior research on causes of preterm birth has tended to focus on pathophysiological processes while acknowledging the role of socioeconomic indicators. The present research explored a wide range of factors plausibly associated with preterm birth informed by pathophysiological and evolutionary life history perspectives on gestation length. To achieve this, a machine learning ensemble classification data analysis approach, random forest (RF), was applied to the UK Millennium Cohort (18,201 births). The results highlighted the importance of socioeconomic variables and parental age in predicting preterm (before 37 completed weeks) and very preterm (before 32 weeks) birth. Infants born in households with low income and with young fathers had an increased risk of both very preterm and preterm birth. Maternal health and health problems during pregnancy were not found to be useful predictors. The best-performing algorithm was for very preterm birth and had 93% sensitivity and 100% specificity using six variables. Algorithms predicting preterm birth before 37 weeks showed increased error, with out-of-bag error rates of about 7% versus only 1% for those predicting very preterm birth. The poorer performance of algorithms predicting preterm births to 37 weeks of gestation suggests that some preterm birth may not result from pathology related to poor maternal health or social or economic disadvantage, but instead represents normal life-history variation. Full article
(This article belongs to the Special Issue Recent Advances in Fetal Medicine 2022)
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