Depression during gestation in adolescent mothers interferes with neonatal neurobehavior

Objective: To compare the neurobehavior of neonates born to adolescent mothers with and without depression during gestation. Methods: This prospective cross-sectional study included healthy term neonates born to adolescent mothers with untreated depression during gestation, without exposure to legal or illicit drugs, and compared them with infants born to adolescent mothers without psychiatric disorders. Maternal psychiatric diagnoses were assessed by the Composite International Diagnostic Interview (CIDI 2.1) and neonatal neurobehavior by the Neonatal Intensive Care Unit Network Neurobehavioral Scale (NNNS) at 24 to 72 hours of life. Neurobehavioral outcomes were analyzed by ANOVA adjusted for confounders. Results: 37 infants born to mothers with depression during gestation were compared to 332 infants born to mothers without psychiatric disorders. Infants of mothers with depression had smaller head circumferences. Significant interactions of maternal depression and male gender, gestational age > 40 weeks, regional anesthesia during delivery, vaginal delivery, and infant head circumference ≥ 34 cm were found. Worse performance was noted in the following neonatal neurobehavioral parameters: arousal, excitability, lethargy, hypotonicity, and signs of stress and abstinence. Conclusion: Infants born to adolescent mothers with depression exhibit some behavioral changes in the first days of life. These changes are associated with infant sex, gestational age, type of anesthesia, mode of delivery, and head circumference.Universidade Federal de São Paulo (UNIFESP) - Escola Paulista de Medicina (UNIFESP-EPM) Department of Pediatrics Division of Neonatal MedicineUNIFESP and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) National Science and Technology Institute for Policies on Alcohol and Drugs (INPAD)UNIFESP-EPM Research Unit on Alcohol and Other DrugsUNIFESP-EPM Department of PsychiatryUNIFESP, - Escola Paulista de Medicina (UNIFESP-EPM) Department of Pediatrics Division of Neonatal MedicineUNIFESP, and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) National Science and Technology Institute for Policies on Alcohol and Drugs (INPAD)UNIFESP, EPM Research Unit on Alcohol and Other DrugsUNIFESP, EPM Department of PsychiatrySciEL

Neurodevelopmental assessment of very low birth weight preterm infants at corrected age of 18-24 months by Bayley III scales

OBJECTIVE: To evaluate the prevalence of delay and factors associated with neurodevelopmental scores in premature infants. METHODS: Cross-sectional study to assess the development by Bayley Scales III, including very low birth weight preterm infants aged 18 to 24 months who were under follow-up at the outpatient clinic for preterm infants. Congenital malformation, genetic syndrome, symptomatic congenital infection at birth, deafness, and blindness were excluded. Numerical variables were compared by Mann-Whitney or Student t test and categorical variables by chi-square or Fisher's exact test. Factors associated with developmental scores were analyzed by linear regression, and statistical significance level was established at p < 0.05. RESULTS: Out of the 58 children included, four (6.9%) presented cognitive delay, four (6.9%) motor, 17 (29.3%) language, 16 (27.6%) social-emotional and 22 (37.0%) adaptive-behavior delay. By multiple linear regression, the variables: social classes CDE (-13.27; 95%CI: -21.23 to -5.31), oxygen dependency at 36 weeks of corrected age (-8.75; 95%CI: -17.10 to -0.39) decreased the cognitive developmental score. Periventricular leukomalacia decreased the cognitive (-15.21; 95%CI: -27.61 to -2.81), motor (-10.67; 95%CI:-19.74 to -1.59) and adaptive-behavior scores (-21.52; 95%CI: -35.60 to -7.44). The female sex was associated with higher motor (10.67; 95%CI: 2.77 to 12.97), language (15.74; 95%CI: 7.39 to 24.09) and social-emotional developmental scores (10.27; 95%CI: 1.08 to 19.46). CONCLUSIONS: Very low birth weight preterm infants aged from 18 to 24 months of corrected age presented more frequently language, social-emotional and adaptive-behavior delays. The variables: social classes CDE, periventricular leukomalacia, bronchopulmonary dysplasia and male sex reduced the neurodevelopmental scores.OBJETIVO: Avaliar a prevalência de atraso e fatores associados aos escores de desenvolvimento em crianças nascidas prematuras. MÉTODOS: Estudo transversal para avaliar o desenvolvimento por escalas Bayley III, incluindo-se prematuros de muito baixo peso de 18 a 24 meses de idade corrigida, acompanhados no Ambulatório de Prematuros da instituição. Excluíram-se: malformação congênita, síndrome genética, infecção congênita sintomática ao nascimento, surdez e cegueira. As variáveis numéricas foram comparadas por teste t de Student ou Mann-Whitney, e as categóricas, por qui-quadrado ou teste exato de Fisher. Para análise dos fatores associados aos escores de desenvolvimento, utilizou-se a regressão linear, considerando-se significante p < 0,05. RESULTADOS: Das 58 crianças avaliadas, quatro (6,9%) apresentaram alteração cognitiva; quatro (6,9%), motora; 17 (29,3%), de linguagem; 16 (27,6%), socioemocional; e 22 (37,9%), de comportamento adaptativo. À regressão linear múltipla, os fatores classe socioeconômica CDE (-13,27; IC95% -21,23 a -5,31) e dependência de oxigênio com 36 semanas de idade corrigida (-8,75; IC95% -17,10 a -0,39) diminuíram o escore cognitivo. A leucomalácia periventricular diminuiu o escore cognitivo (-15,21; IC95% -27,61 a -2,81), motor (-10,67; IC95% -19,74 a -1,59) e de comportamento adaptativo (-21,52; IC95% -35,60 a -7,44). O sexo feminino se associou ao maior escore motor (10,67; IC95% 2,77-12,97), de linguagem (15,74; IC95% 7,39-24,09) e socioemocional (10,27; IC95% 1,08-19,46). CONCLUSÕES: Prematuros de muito baixo peso apresentaram com maior frequência alterações na linguagem, comportamento adaptativo e socioemocional. As variáveis classe socioeconômica CDE, leucomalácia periventricular, displasia broncopulmonar e sexo masculino contribuíram para reduzir os escores de desenvolvimento.Universidade Federal de São Paulo (UNIFESP), Escola Paulista de Medicina (EPM) Departamento de PediatriaUNIFESP, EPM, Depto. de PediatriaSciEL

Revisiting N-CNN for Clinical Practice

This paper revisits the Neonatal Convolutional Neural Network (N-CNN) by optimizing its hyperparameters and evaluating how they affect its classification metrics, explainability and reliability, discussing their potential impact in clinical practice. We have chosen hyperparameters that do not modify the original N-CNN architecture, but mainly modify its learning rate and training regularization. The optimization was done by evaluating the improvement in F1 Score for each hyperparameter individually, and the best hyperparameters were chosen to create a Tuned N-CNN. We also applied soft labels derived from the Neonatal Facial Coding System, proposing a novel approach for training facial expression classification models for neonatal pain assessment. Interestingly, while the Tuned N-CNN results point towards improvements in classification metrics and explainability, these improvements did not directly translate to calibration performance. We believe that such insights might have the potential to contribute to the development of more reliable pain evaluation tools for newborns, aiding healthcare professionals in delivering appropriate interventions and improving patient outcomes.Comment: AICAI 2023 in conjuction with MICCA

Dependência psicológica de Benzodiazepínicos: Psychological dependence on Benzodiazepines

O crescente&nbsp;aumento do seu uso&nbsp;no&nbsp;começo&nbsp;do século XXI, os ansiolíticos&nbsp;vêm&nbsp;se tornando a&nbsp;“porta de fuga” para nova e&nbsp;também&nbsp;velha geração. Geração&nbsp;essa,&nbsp;que cada vez mais vem&nbsp;sendo consumida&nbsp;por distúrbios de ansiedade, insônia e quadros depressivos&nbsp;de forma exponencial. (Faculdade de Ciências Farmacêuticas de Ribeirão Preto – 2019).&nbsp;Este trabalho, avalia o uso e possível dependência psicológica dos benzodiazepínicos, a partir de um levantamento&nbsp;bibliográfico de forma&nbsp;sistemática de&nbsp;pesquisas&nbsp;dentro da literatura científica acerca do assunto.&nbsp

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure &lt;= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

Correlacao entre bilirrubina total, razao molar bilirrubina total/albumina e bilirrubina livre em recem-nascidos a termo e pre-termo

BV UNIFESP: Teses e dissertaçõe