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Objective: The aim of this study was to assess whether the micronutrients zinc and copper, provided by human milk additives, are sufficient for very low birth weight preterm infants., Method: A phase 1 randomized double-blind controlled trial was conducted with very low birth weight preterm infants. This is a secondary analysis of copper and zinc. Sixty-six newborns were part of the initial sample, with forty participating and reaching the final stage of the study. Inclusion criteria were: gestational age less than 37 weeks, birth weight greater than or equal to 750 g and less than or equal to 1500 g, small or appropriate for gestational age, exclusively receiving human milk at a volume greater than or equal to 100 mL per kilogram per day, and hemodynamically stable. Participants were randomly assigned to two groups: intervention, Lioneo (received human milk with additive based on lyophilized human milk), n = 20, and control, HMCA (received human milk with commercial additive based on cow's milk protein), n = 20, and their serum levels of zinc and copper were measured on the first and twenty-first days., Results: There was a reduction in intragroup zinc serum levels from the first to the twenty-first day of the study (p < 0.01). There was no intergroup difference. No difference was found in serum copper levels., Conclusion: Human milk additives were not sufficient to maintain adequate zinc serum levels in very low birth weight newborns. It was not possible to affirm whether human milk additives were sufficient to maintain adequate serum copper levels in the studied sample. UTN: U1111-1220-0550., Competing Interests: Conflicts of interest The authors declare no conflicts of interest., (Copyright © 2024 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.)

During the COVID-19 pandemic, the Province of Ontario, Canada, launched a wastewater surveillance program to monitor SARS-CoV-2, inspired by the early work and successful forecasts of COVID-19 waves in the city of Ottawa, Ontario. This manuscript presents a dataset from January 1, 2021, to March 31, 2023, with RT-qPCR results for SARS-CoV-2 genes and PMMoV from 107 sites across all 34 public health units in Ontario, covering 72% of the province's and 26.2% of Canada's population. Sampling occurred 2-7 times weekly, including geographical coordinates, serviced populations, physico-chemical water characteristics, and flowrates. In doing so, this manuscript ensures data availability and metadata preservation to support future research and epidemic preparedness through detailed analyses and modeling. The dataset has been crucial for public health in tracking disease locally, especially with the rise of the Omicron variant and the decline in clinical testing, highlighting wastewater-based surveillance's role in estimating disease incidence in Ontario., (© 2024. The Author(s).)

The Concerns of Grieving Caregivers Scale (COGCS) is the first of its kind to explore caregivers' concerns about their own parenting, as well as their relationships with, and specific behaviours of their bereaved child(ren). Using exploratory factor analysis, we evaluate grieving parents' and caregivers' concerns using data collected across clinical populations from two community organizations supporting grieving families (i.e., a children's grief centre and a community hospice). Two identified factors were established: Concerns about Caregiving and Concerns about the Child. The COGCS demonstrates good internal consistency and criterion validity in its application with two distinct clinical samples. The use of this scale could be of value to clinicians supporting bereaved caregivers and their families as they can integrate concern-specific resources into their practice to better support their clients' presenting concerns., 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: The near miss concept, denoting near collisions between aircraft, originated in aeronautics, but has recently been transferred to the neonatal context as a way of evaluating the quality of health services for newborns, especially in settings with reduced child mortality. However, there is yet no consensus regarding the underlying criteria. The most common indicators used to assess health care quality include mortality (maternal and neonatal) and life-threatening conditions. Using the World Health Organization (WHO) Better Outcomes in Labour Difficulty (BOLD) prospective cohort study data set, we conducted a secondary analysis to validate the near miss concept and explore the association between maternal and neonatal outcomes., Methods: We studied 10 203 singleton mothers treated between December 2014 and November 2015 in nine Nigerian and four Ugandan hospitals. We validated the near miss concept by testing the diagnostic accuracy (sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and odds ratio (OR)) using death as the reference variable and calculating the maternal and neonatal case fatality rates. We performed ordinal and binomial logistic regression, with the independent variables being those that had P < 0.1 in the univariate analyses. We considered the significance level of 5%., Results: We validated the neonatal near miss concept using the BOLD study data. We observed maternal and neonatal case fatality rates of 70.2% and 6.5%, with an increasing severity relationship between maternal and neonatal outcomes (P < 0.05). Ordinal logistic regression showed that gestational age <37 or >41 weeks and <8 antenatal consultations were related to a higher risk of neonatal severe outcomes, while maternal age between 30 and 34 years functioned as a protective factor against severe neonatal outcomes (SNO). Binomial logistic regression showed gestational age <37(OR = 1.46; 95% confidence interval (CI) = 1.07-1.94) or >41 weeks (OR = 2.26; 95% CI = 1.55-3.20), low educational level (OR = 1.76; 95% CI = 1.12-2.69), overweight/obesity (OR = 1.23; 95% CI = 1.02-1.47), one previous cesarean section (OR = 1.90; 95% CI = 1.36-2.61), one previous abortion (OR = 1.25; 95% CI = 1.00-1.56), and previous chronic condition (OR = 1.83; 95% CI = 1.37-2.41) were risk factors for SNO., Conclusions: The neonatal near miss concept could be used as a parameter for analysis in different health systems, to ensure that measuring of neonatal severity is comparable across health care units. In this analysis, we observed a progressive association between maternal severity and the severity of the newborns' outcomes., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests, (Copyright © 2024 by the Journal of Global Health. All rights reserved.)