Publications by authors named "Scott M Nelson"

Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). IVF generates complex data, which can challenge the utilization of the full richness of data during decision-making, leading to reliance on simple 'rules-of-thumb'. Machine learning techniques are well-suited to analyzing complex data to provide data-driven recommendations to improve decision-making.

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  • The study aimed to evaluate the hospitalization risks for perinatal conditions in children conceived through assisted reproductive technology (ART) versus naturally conceived children, with breakdowns by treatment type.
  • Conducted in the UK from 2002 to 2009, the research involved over 44,000 children born via ART and compared their hospital admissions to nearly 90,000 naturally conceived controls and their siblings.
  • Results showed that ART children had a higher risk of hospitalization for severe perinatal events compared to naturally conceived children, but no significant difference was found when comparing ART children to their naturally conceived siblings.
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To assess the value of deep learning in selecting the optimal embryo for in vitro fertilization, a multicenter, randomized, double-blind, noninferiority parallel-group trial was conducted across 14 in vitro fertilization clinics in Australia and Europe. Women under 42 years of age with at least two early-stage blastocysts on day 5 were randomized to either the control arm, using standard morphological assessment, or the study arm, employing a deep learning algorithm, intelligent Data Analysis Score (iDAScore), for embryo selection. The primary endpoint was a clinical pregnancy rate with a noninferiority margin of 5%.

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Background: Establishing local trimester-specific reference intervals for gestational TSH and free T4 (FT4) is often not feasible, necessitating alternative strategies. We aimed to systematically quantify the diagnostic performance of standardized modifications of center-specific nonpregnancy reference intervals as compared to trimester-specific reference intervals.

Methods: We included prospective cohorts participating in the Consortium on Thyroid and Pregnancy.

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Objective: To study the association between antimüllerian hormone (AMH) levels and time of pregnancy. Although it has been hypothesized that serum AMH levels may indicate the chance of conception, findings have been mixed. Given that any association is expected to be modest, and it is possible that previous studies have been underpowered, we investigated this relationship in the largest prospective cohort to date.

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  • Some studies suggest that having epidural pain relief during labor may link to autism in children, which worries some parents.
  • But research about this connection is mixed, making it hard to understand the results.
  • The overall conclusion is that there's no strong proof that epidurals cause autism in kids.
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Objectives: To determine the effect of labour epidural on severe maternal morbidity (SMM) and to explore whether this effect might be greater in women with a medical indication for epidural analgesia during labour, or with preterm labour.

Design: Population based study.

Setting: All NHS hospitals in Scotland.

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Objective: To undertake a one-stage meta-analysis of individual patient data from randomized trials comparing individualized dosing of follitropin delta vs. other forms of follitropin (alpha and beta) for live birth (LB) rates (LBR) and safety parameters in women undergoing ovarian stimulation for in vitro fertilization treatment.

Design: Systematic review with individual patient data meta-analysis.

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  • * The study analyzed data from 65,559 participants across 25 cohorts, focusing on risk factors like maternal age, BMI, and antibody positivity while excluding those with pre-existing thyroid issues.
  • * Results indicated a screening rate of 58% among high-risk cohorts, with minimal variation in risk for hypothyroidism based on age and BMI, and TPOAb/TgAb positivity significantly correlated with higher risks for overt and subclinical hypothyroidism.
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  • Infertility affects 1 out of every 6 couples, and many need special medical treatments called assisted reproductive technology (ART) to have a baby.
  • Doctors and lab staff need to consider many different factors when deciding how to treat patients, but this can be confusing and depends a lot on experience.
  • Artificial intelligence (AI) can help by analyzing lots of data to make better decisions on drug choices and how to monitor treatment, making the process of ART safer and more effective.
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Infertility affects one in six couples, with in vitro fertilization (IVF) offering many the chance of conception. Compared to the solitary oocyte produced during the natural menstrual cycle, the supraphysiological ovarian stimulation needed to produce multiple oocytes during IVF results in a dysfunctional luteal phase that can be insufficient to support implantation and maintain pregnancy. Consequently, hormonal supplementation with luteal phase support, principally exogenous progesterone, is used to optimize pregnancy rates; however, luteal phase support remains largely 'black-box' with insufficient clarity regarding the optimal timing, dosing, route and duration of treatment.

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Ovarian hyperstimulation syndrome (OHSS) is the main severe complication of ovarian stimulation for in vitro fertilization (IVF) cycles. The aim of the current study was to identify the interventions for the prevention of and reduction in the incidence and severity of OHSS in patients who undergo IVF not included in systematic reviews with meta-analyses of randomized controlled trials (RCTs) and assess and grade their efficacy and evidence base. The best available evidence for each specific intervention was identified, analyzed in terms of safety/efficacy ratio and risk of bias, and graded using the Oxford Centre for Evidence-Based Medicine (CEBM) hierarchy of evidence.

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  • Guidelines recommend using specific thyroid hormone reference intervals during pregnancy, but these are often not available, leading to alternative diagnostic methods.
  • A study analyzed data from over 52,000 women and found that these alternative methods had low sensitivity (0.63-0.82) and high false discovery rates (0.11-0.35) compared to trimester-specific reference intervals.
  • The results indicate that using alternative approaches for thyroid hormone testing in pregnancy can result in significant misdiagnosis, highlighting the need for better strategies for detecting thyroid dysfunction in pregnant women.
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Objectives: To compare the risk of adverse perinatal outcomes according to infants who are born small for gestational age (SGA; <10th centile) or large for gestational age (LGA; >90th centile), as defined by birthweight centiles that are non-customised (ie, standardised by sex and gestational age only) and customised (by sex, gestational age, maternal weight, height, parity, and ethnic group).

Design: Comparative, population based, record linkage study with meta-analysis of results.

Setting: Denmark, Finland, Norway, Wales, and England (city of Bradford), 1986-2019.

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Ovarian hyperstimulation syndrome (OHSS) is a potentially life-threating iatrogenic complication of the early luteal phase and/or early pregnancy after in vitro fertilization (IVF) treatment. The aim of the current study was to identify the most effective methods for preventing of and reducing the incidence and severity of OHSS in IVF patients. A systematic review of systematic reviews of randomized controlled trials (RCTs) with meta-analysis was used to assess each potential intervention (PROSPERO website, CRD 268626) and only studies with the highest quality were included in the qualitative analysis.

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In-vitro fertilisation (IVF) and intra-cytoplasmatic sperm injection (ICSI) are available in Scotland through the National Health Service (NHS) according to specific criteria. There is no standardised NHS tariff for these treatments in Scotland, and variation exists amongst different centres providing NHS services. The aim of this study was to calculate the mean cost of IVF and ICSI cycles for NHS-funded treatment in Scotland.

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Objective: To determine how the contraceptive-specific serum antimüllerian hormone (AMH) levels compare across ages and percentiles in a reproductive-age cohort.

Design: Cross-sectional analysis of a prospectively recruited cohort.

Setting: Community.

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Article Synopsis
  • The protocol aims to study the impacts of the COVID-19 pandemic on pregnancy and birth outcomes in Scotland, focusing on inequalities among different groups.
  • Researchers will analyze linked administrative data from about 500,000 mother-child pairs, comparing outcomes before and during the pandemic using statistical models.
  • The study will also evaluate the effects of government mitigation measures and assess health inequalities based on factors like ethnicity, social status, and area deprivation.
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Aims: To examine associations of assisted reproductive technology (ART) conception (vs. natural conception: NC) with offspring cardiometabolic health outcomes and whether these differ with age.

Methods And Results: Differences in systolic (SBP) and diastolic blood pressure (DBP), heart rate (HR), lipids, and hyperglycaemic/insulin resistance markers were examined using multiple linear regression models in 14 population-based birth cohorts in Europe, Australia, and Singapore, and results were combined using meta-analysis.

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Background: The early onset of menopause is associated with increased risks of cardiovascular disease and osteoporosis. As a woman's circulating anti-Müllerian hormone (AMH) concentration reflects the number of follicles remaining in the ovary and declines towards the menopause, serum AMH may be of value in the early diagnosis and prediction of age at menopause.

Objective And Rationale: This systematic review was undertaken to determine whether there is evidence to support the use of AMH alone, or in conjunction with other markers, to diagnose menopause, to predict menopause, or to predict and/or diagnose premature ovarian insufficiency (POI).

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Aim: We assessed clinical risk factors, anthropometric measures of adiposity and weight gain to determine associations with development of GDM in a cohort of pregnant women with obesity.

Methods: This was a secondary analysis of the UPBEAT trial of a complex lifestyle intervention in pregnant women with obesity (ISRCTN89971375). Clinical risk factors, and measures of adiposity and weight were assessed in the early 2nd trimester (mean 17 +0 weeks), and adiposity and weight repeated in the early 3rd trimester (mean 27 +5 weeks').

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