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Lay Abstract: Sleep problems are common in autism spectrum disorder (ASD) and different factors can contribute to its occurrence in this population. Misalignment of the biological clock (our circadian system) has been described as one possible explanation. While there is a body of research on sleep problems, relatively less is known about circadian functioning and the specific population of autistic children with co-occurring attention deficit hyperactivity disorder (ADHD). Using an ambulatory circadian monitoring (ACM) system, which resembles a common watch, we gathered sleep parameters and the different rhythms obtained from measuring motor activity, light exposure and distal temperature in 87 autistic children and adolescents, 27 of whom were diagnosed with co-occurring ADHD, and 30 neurotypical children and adolescents as a comparison group. Autistic children and, especially, those with co-occurring ADHD showed greater motor activity during sleep which would be worth studying in future projects which could better define this restless sleep. Of note, we observed an atypical pattern of wrist temperature, with higher values in neurotypical children, followed by autistic children and, ultimately, those with co-occurring ADHD. Temperature is one of the most valuable factors evaluated here as it is closely connected to sleep-wakefulness and the hormone melatonin. Its special pattern during day and nighttime would support the hypothesis of an atypical secretion of melatonin in autistic individuals which would also link with the higher presence of sleep problems in this neurodevelopmental condition., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background and Objectives: Hypertensive disorders of pregnancy (HDPs) remain one of the leading causes of maternal mortality globally, especially in Low- and middle-income countries (LMICs). To reduce the burden of associated morbidity and mortality, standardized prompt recognition, evaluation, and treatment have been proposed. Health disparities, barriers to access to healthcare, and shortage of resources influence these conditions. We aimed to synthesize the literature evidence for the management of HDPs in LMICs., Methods: A scoping review was conducted in five databases (PubMed, Web of Science, Epistemonikos, Clinical Key and, Scielo) using MeSh terms, keywords, and Boolean connectors. We summarized the included studies according to the following categories: study design, objectives, settings, participant characteristics, eligibility criteria, interventions, assessed outcomes, and general findings., Results: Six hundred fifty-one articles were retrieved from the literature search in five databases. Following the selection process, 65 articles met the predefined eligibility criteria. After performing a full-text analysis, 27 articles were included. Three themes were identified from the articles reviewed: prevention of HDPs, management of HDPs (antihypertensive and non-hypertensive management) and pregnancy monitoring and follow-up. The topics were approached from the perspective of LMICs., Conclusions: LMICs face substantial limitations and obstacles in the comprehensive management of HDPs. While management recommendations in most LMICs align with international guidelines, several factors, including limited access to crucial medications, unavailability of diagnostic tests, deficiencies in high-quality healthcare infrastructure, restrictions on continuing professional development, a shortage of trained personnel, community perceptions of preeclampsia, and outdated local clinical practice guidelines, impede the comprehensive management of patients. The development and implementation of protocols, standardized guides and intervention packages are a priority., (© 2024. The Author(s).)

Background: Surgical management of congenital heart disease (CHD) has increased worldwide, but healthcare-associated infections (HAIs) can threaten these efforts., Aim: To analyse the incidence of HAI, the impact of preventive interventions, and microbiological profiles in a paediatric cardiovascular surgery programme., Methods: Cohort study including children aged <12 years with CHD who underwent cardiovascular surgery between 2010 and 2021 in Medellín, Colombia (a middle-income setting). Data were collected from medical and laboratory records and infection control programme databases. Impact of various preventive interventions was assessed using a Poisson model. P < 0.05 was considered statistically significant., Findings: A total of 2512 surgeries were analysed. Incidence of surgical site infection (SSI) was 5.9%, followed by central line-associated bloodstream infection (CLABSI; 4.7%), catheter-associated urinary tract infection (CAUTI; 2.2%), and ventilator-associated pneumonia (VAP; 1.4%). Most of the strategies focused on preventing SSI, resulting in a reduction from 9.5% in 2010 to 3.0% in 2021 (P = 0.030). Antibiotic prophylaxis based on patient weight and continuous infusion had an impact on reducing SSI (RR: 0.56; 95% CI: 0.32-0.99). Vacuum-assisted closure (VAC) in clean wounds reduced 100% of infections. No significant risk reduction was observed for other HAI with the implemented interventions., Conclusion: Preventive strategies effectively reduced SSI but no other infections, emphasizing the need for targeted approaches to address a broader spectrum of HAI successfully., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background and Objectives: The variability in the number of donations together with a growing demand for platelet concentrates and plasma-derived medicines make us seek solutions aimed at optimizing the processing of blood. Some mathematical models to improve efficiencies in blood banking have been published. The goal of this work is to validate and evaluate an algorithm's impact in the production of blood components in the Blood and Tissues Bank of Aragon (BTBA)., Materials and Methods: A mathematical algorithm was designed, implemented and validated through simulations with real data. It was incorporated into the fractionation area, which uses the Reveos® fractionation system (Terumo BCT) to split blood into its components. After 9 months of daily routine validation, retrospective activity data from the Blood Bank and Transfusion Services before and during the use of the algorithm were compared., Results: Using the algorithm, the outdating rate of platelet concentrates (PC) decreased by 87.8% in the blood bank. The average shelf life remaining of PC supplied to Transfusion Services increased by almost 1 day. As a consequence, the outdating rate in the Aragon Transfusion Network decreased by 33%. In addition, extra 100 litres of plasma were obtained in 9 months., Conclusions: The algorithm improves the blood establishment's workflow and facilitates the decision-making process in whole blood processing. It resulted in a decrease in PC outdating rate, increase in PC shelf life and finally an increase in the volume of recovered plasma, leading to significant cost savings., (© 2024 The Authors. Vox Sanguinis published by John Wiley & Sons Ltd on behalf of International Society of Blood Transfusion.)

Working memory (WM) and inhibitory control (IC) play a crucial role in learning during early childhood. The literature suggests a non-linear developmental trajectory of executive functions (EFs) with varied results according to gender, usually attributed to environmental factors. However, there is insufficient and inconclusive data on whether this pattern is reproduced in the Latin American preschool population since most studies have been conducted in English-speaking, European, and Asian environments. Thus, objectively comparing children's executive performance across diverse international geographical contexts becomes challenging. This study aimed to conduct a cross-sectional analysis of the performance in WM and IC of 982 Ecuadorian preschoolers aged between 42 and 65 months (M = 53.71; SD = 5.714) and belonging to medium-high, medium, and low-medium socioeconomic strata. The participants consisted of 496 boys (M = 53.77; SD = 5.598) and 486 girls (M = 53.65; SD = 5.834), representing nine cities in Ecuador. To assess the effect of age and gender on performance in these two domains, the sample was divided into four 6-month age intervals. Two tests were administered to the participants, and a survey was conducted with 799 of their usual caregivers. Viewing the cross-sectional mean scores of the WM and IC tests as a temporal continuum reveals an upward trend in each age interval studied. Girls outperformed boys on the IC test, showing statistically significant differences in the earliest age interval. The gender differences in executive performance reported in the literature emphasize the need to explore the modulating effect of environmental variables on early childhood development. This information could offer valuable insights for adapting and optimizing cognitive and didactic strategies in early childhood tailored to the characteristics and needs of the preschool population., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 López-Vallejo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

A wide range of approaches can be used to detect micro RNA (miRNA)-target gene pairs (mTPs) from expression data, differing in the ways the gene and miRNA expression profiles are calculated, combined and correlated. However, there is no clear consensus on which is the best approach across all datasets. Here, we have implemented multiple strategies and applied them to three distinct rare disease datasets that comprise smallRNA-Seq and RNA-Seq data obtained from the same samples, obtaining mTPs related to the disease pathology. All datasets were preprocessed using a standardized, freely available computational workflow, DEG&#95;workflow. This workflow includes coRmiT, a method to compare multiple strategies for mTP detection. We used it to investigate the overlap of the detected mTPs with predicted and validated mTPs from 11 different databases. Results show that there is no clear best strategy for mTP detection applicable to all situations. We therefore propose the integration of the results of the different strategies by selecting the one with the highest odds ratio for each miRNA, as the optimal way to integrate the results. We applied this selection-integration method to the datasets and showed it to be robust to changes in the predicted and validated mTP databases. Our findings have important implications for miRNA analysis. coRmiT is implemented as part of the ExpHunterSuite Bioconductor package available from https://bioconductor.org/packages/ExpHunterSuite., (© The Author(s) 2024. Published by Oxford University Press.)