The estimation of gestational age (GA) in fetal human remains is important in forensic settings, particularly to assess fetal viability, in addition to often being the only biological profile parameter that can be assessed with some accuracy for non-adults. The length of long bone diaphysis is one of the most frequently used methods for fetal age estimation. The main objective of this study was to present a simple and objective method for estimating GA based on the measurements of the diaphysis of the femur, tibia, fibula, humerus, ulna, and radius. Conventional least squares regression equations (classical and inverse calibration approaches) and quick reference tables were generated. A supplementary objective was to compare the performance of the new formulae against previously published models. The sample comprised 257 fetuses (136 females and 121 males) with known GA (between 12 and 40 weeks) and was selected based on clinical and pathological information. All measurements were performed on radiographic images acquired in anonymous clinical autopsy records from spontaneous and therapeutic abortions in two Portuguese hospitals. The proposed technique is straightforward and reproducible. The models for the GA estimation are exceedingly accurate and unbiased. Comparisons between inverse and classical calibration show that both perform exceptionally well, with high accuracy and low bias. Also, the newly developed equations generally outperform earlier methods of GA estimation in forensic contexts. Quick reference tables for each long bone are now available. The obtained models for the estimation of gestational age are of great applicability in forensic contexts.
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http://dx.doi.org/10.1007/s00414-016-1393-5 | DOI Listing |
JACC Adv
February 2025
Department of Medicine (Division of Cardiology), University of Alberta, Edmonton, Alberta, Canada.
Background: Cardiac disease is the leading cause of maternal mortality in developed countries, and myocardial infarction (MI) is an important cause of pregnancy-associated morbidity and mortality. These infrequent, but very serious, events are not optimally described in the medical literature.
Objectives: This study describes a 15-year consecutive, retrospective cohort of confirmed pregnancy-associated MIs (PAMIs) identified in Alberta, Canada (2003-2017).
J Glob Health
January 2025
Centro de Investigación en Salud Materna e Infantil and Centro de Investigación para el Desarrollo Integral y Sostenible, Universidad Peruana Cayetano Heredia, Lima, Peru.
Background: We examined COVID-19's impact on the number of small vulnerable newborns (SVN) at national and regional levels in Peru and Brazil.
Methods: Using national birth registries, we examined monthly numbers of preterm (PT), low birthweight (LBW), and small for gestational age (SGA) newborns. We analysed COVID-19's impact on SVN using two interrupted time series models.
J Acquir Immune Defic Syndr
January 2025
University of Washington Department of Global Health, Seattle, Washington, USA.
Background: Self-perceived HIV risk influences PrEP use, though few data on risk perception are available among pregnant women. We evaluated HIV risk perception and PrEP uptake among pregnant women in Kenya.
Methods: We utilized data from a randomized trial evaluating universal versus risk-based PrEP delivery models at 20 antenatal clinics in Kenya (NCT03070600).
BMC Pregnancy Childbirth
January 2025
Department of Child Healthcare, Changsha City Maternal and Child Health Care Hospital, Chengnan East Road No.416, Yuhua District, Changsha, 410007, China.
Background: Birth weight is a critical indicator for assessing fetal development and newborn health status. This study aimed to examine both linear and nonlinear associations between maternal age and birth weight and their related adverse outcomes.
Methods: 15,923 delivery data from 2018 to 2021 for pregnant women from the Changsha Maternal and Child Health Care Hospital were reviewed by a retrospective study.
BMC Pediatr
January 2025
Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, WA, Australia.
Background: Growing evidence shows that dysregulated metabolic intrauterine environments can affect offspring's neurodevelopment and behaviour. However, the results of individual cohort studies have been inconsistent. We aimed to investigate the association between maternal diabetes before pregnancy and gestational diabetes mellitus (GDM) with neurodevelopmental, cognitive and behavioural outcomes in children.
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