Guided web app intervention for reducing symptoms of depression in postpartum women: Results of a feasibility randomized controlled trial.

Background: Chile faces a significant postpartum depression prevalence and treatment gap, necessitating accessible interventions. While cognitive-behavioral internet-based interventions have proven effective in high-income countries, this field is underdeveloped in Chile. Based on the country's widespread use of digital technology, a guided 8-week cognitive-behavioral web app intervention named "Mamá, te entiendo" was developed. Objective: This study aimed to assess the acceptability and feasibility of "Mamá, te entiendo", for reducing depressive symptomatology in postpartum women. Methods: Sixty-five postpartum women with minor or major depression were randomly assigned to either intervention or waitlist. Primary outcomes centered on study feasibility, intervention feasibility, and acceptability. Semi-structured interviews with a sub-sample enriched the understanding of participants' experiences. Secondary outcomes included mental health variables assessed at baseline, post-intervention, and 1-month follow-up. Results: Chilean women displayed great interest in the intervention. 44.8 % of participants completed the intervention. Participants reported high satisfaction and engagement levels, with interviewees highlighting the value of the intervention's content, exercises, and therapist's feedback. However, preliminary efficacy analysis didn't reveal a significant interaction between group and time for outcome measures. Discussion: This research represents a pioneering effort in Chile to evaluate an internet-based intervention for postpartum depression symptoms. The demonstrated feasibility and acceptability highlight the potential of integrating technology-driven approaches into mental health interventions. However, the intervention did not demonstrate superiority, as both groups exhibited similar positive progress in several outcomes. Therefore, the following research phase should involve a larger and more diverse sample to assess the intervention's effectiveness, identify influencing factors, and determine the individuals who benefit the most.

Online Intervention Targeting Postnatal Depression and Anxiety in Chilean First-Time Mothers: Feasibility Trial.

OBJECTIVE: Internet-based interventions may positively impact maternal symptoms of postnatal depression and anxiety. This study assessed the feasibility, acceptability, perceived usefulness, and preliminary effectiveness of an m-Health version of "What Were We Thinking?" (m-WWWT). METHODS: A mixed-methods with a 2-arm randomized parallel design was used. From a total of 477 women, 157 met the inclusion criteria. 128 first-time mothers of full-term infants, aged 4-10 weeks, who received health care at primary public health centers in Chile, were randomly assigned to the experimental (EG, n = 65) or control (CG, n = 63) groups; data of 104 of them (53 and 51, respectively) was analyzed. We used percentages and rates to measure feasibility outcomes and mixed analysis of variance (ANOVA) and latent class analyses (LCA) to assess preliminary effectiveness. Participants completed questionnaires on mental health, social support, and maternal self-efficacy upon recruitment and 3 months after completing the intervention. For the qualitative component, 12 women from the EG were interviewed. RESULTS: Quantitative results show good feasibility outcomes, such as high recruitment (82%), low attrition (EG = 12% and CG = 17%), and high follow-up (EG = 97% and CG = 91%) rates. Qualitative results indicate high acceptability and perceived usefulness of m-WWWT. Mixed ANOVA did not show significant differences between the groups (all p >.05). However, multinomial regression analysis in LCA showed that women with low baseline symptoms of depression and anxiety benefit from the intervention (B = 0.43, 95% confidence interval 1.09-2.16). CONCLUSION: m-WWWT is feasible to be implemented in Chile; future studies are needed to assess the intervention's effectiveness.

Psychotherapies for Generalized Anxiety Disorder in Adults: A Systematic Review and Network Meta-Analysis of Randomized Clinical Trials.

Importance: Generalized anxiety disorder (GAD) is one of the most common mental disorders in adults. Psychotherapies are among the most recommended treatments for GAD, but which should be considered as first-line treatment needs to be clarified. Objective: To use a network meta-analysis to examine the short- and long-term associations of different psychotherapies with outcomes of effectiveness and acceptability in adults with GAD. Data Sources: MEDLINE, Embase, PsycINFO, and the Cochrane Register of Controlled Trials were searched from database inception to January 1, 2023, to identify randomized clinical trials (RCTs) of psychotherapies for adults with GAD. Study Selection: RCTs comparing any type of psychotherapy against another or with a control condition for the treatment of adults (≥18 years, both sexes) with a primary diagnosis of GAD were eligible for inclusion. Data Extraction and Synthesis: This study followed Cochrane standards for extracting data and assessing data quality and used the PRISMA guideline for reporting. Risk of bias of individual studies was assessed using the second version of the Cochrane risk of bias tool, and the Confidence in Network Meta-Analysis was used to rate the certainty of evidence for meta-analytical results. Main Outcomes and Measures: Eight psychotherapies were compared against one another and with 2 control conditions. Primary outcomes were severity of GAD symptoms and acceptability of the psychotherapies. Random-effects model pairwise and network meta-analyses were conducted. For effectiveness, standardized mean differences (SMDs) were pooled, and for acceptability, relative risks with 95% CIs were calculated. Results: Data from 65 RCTs were included. Effect size estimates on data from 5048 participants (mean [SD], 70.9% [11.9%] women; mean [SD] age, 42.2 [12.5] years) suggested that third-wave cognitive behavior therapies (CBTs) (SMD, -0.76 [95% CI, -1.15 to -0.36]; certainty, moderate), CBT (SMD, -0.74 [95% CI, -1.09 to -0.38]; certainty, moderate), and relaxation therapy (SMD, -0.59 [95% CI, -1.07 to -0.11]; certainty, low) were associated with reduced GAD symptoms vs treatment as usual. Relative risks for all-cause discontinuation (indication of acceptability) signaled no differences compared with treatment as usual for all psychotherapies (eg, relative risk, 1.04 [95% CI, 0.64-1.67] for CBT vs treatment as usual). When excluding studies at high risk of bias, relaxation therapy lost its superiority over treatment as usual (SMD, -0.47; 95% CI, -1.18 to 0.23). When considering anxiety severity at 3 to 12 months after completion of the intervention, only CBT remained significantly associated with greater effectiveness than treatment as usual (SMD, -0.60; 95% CI, -0.99 to -0.21). Conclusions and Relevance: Given the evidence in this systematic review and network meta-analysis for its associations with both acute and long-term effectiveness, CBT may represent the first-line therapy of GAD. Third-wave CBTs and relaxation therapy were associated with short-term effectiveness and may also be offered.

Psychological treatment of perinatal depression: a meta-analysis.

BACKGROUND: Depression during pregnancy and after the birth of a child is highly prevalent and an important public health problem. Psychological interventions are the first-line treatment and, although a considerable number of randomized trials have been conducted, no recent comprehensive meta-analysis has evaluated treatment effects. METHODS: We used an existing database of randomized controlled trials of psychotherapies for adult depression and included studies aimed at perinatal depression. Random effects models were used in all analyses. We examined the effects of the interventions in the short and long term, and also examined secondary outcomes. RESULTS: Forty-three studies with 49 comparisons and 6270 participants between an intervention and control group were included. The overall effect size was g = 0.67 [95% confidence interval (CI) 0.45~0.89; numbers needed-to-be-treated = 4.39] with high heterogeneity (I2 = 80%; 95% CI 75~85). This effect size remained largely unchanged and significant in a series of sensitivity analyses, although some publication bias was found. The effects remained significant at 6-12 months follow-up. Significant effects were also found for social support, anxiety, functional limitations, parental stress and marital stress, although the number of studies for each outcome was low. All results should be considered with caution because of the high levels of heterogeneity in most analyses. CONCLUSIONS: Psychological interventions are probably effective in the treatment of perinatal depression, with effects that last at least up to 6-12 months and probably also have effects on social support, anxiety, functional impairment, parental stress, and marital stress.

App-based intervention for reducing depressive symptoms in postpartum women: Protocol for a feasibility randomized controlled trial.

Background: Chile has a high prevalence of postpartum depression and a significant treatment gap. Some barriers to postpartum depression care uncover the need for more easily accessible and lower-cost interventions. Chile's high utilization of digital technologies across all social strata and the increased use of pregnancy and parenting apps open the possibility of delivering interventions through mobile devices. Cognitive-behavioral internet-based interventions have proven to be effective in reducing symptoms of depression in high-income countries. However, in Chile, this is an underdeveloped field. This manuscript describes a randomized controlled trial protocol that will examine the feasibility and acceptability of a guided 8-week cognitive-behavioral app-based intervention for Chilean postpartum women with depressive symptoms. Method: A small-scale parallel 2-arms trial will be conducted. Postpartum women with minor or major depression will be randomized to the app-based intervention or waitlist. The primary outcomes are feasibility and acceptability variables, mainly; recruitment and eligibility rates, intervention and study adherence, and participants' intervention satisfaction, use, and engagement. Semi-structured interviews with a sub-sample will provide more information about the participants' experience with the intervention. Women's depression status will be assessed at pre-treatment, post-treatment, and 1-month follow-up. Other secondary outcomes will include participants' perceived social support, mother-infant bonding, and maternal satisfaction and self-efficacy. Discussion: This will be the first internet-based intervention aimed at reducing postpartum depression symptoms developed and studied in Chile. If the intervention and procedures prove feasible and acceptable, we plan to study its efficacy in a definitive controlled trial. If the intervention demonstrates to be effective, the aim is to implement it within the Chilean healthcare setting.

A comparison of phase unwrapping methods in velocity-encoded MRI for aortic flows.

PURPOSE: The phase of a MRI signal is used to encode the velocity of blood flow. Phase unwrapping artifacts may appear when aiming to improve the velocity-to-noise ratio (VNR) of the measured velocity field. This study aims to compare various unwrapping algorithms on ground-truth synthetic data generated using computational fluid dynamics (CFD) simulations. METHODS: We compare four different phase unwrapping algorithms on two different synthetic datasets of four-dimensional flow MRI and 26 datasets of 2D PC-MRI acquisitions including the ascending and descending aorta. The synthetic datasets are constructed using CFD simulations of an aorta with a coarctation, with different levels of spatiotemporal resolutions and noise. The error of the unwrapped images was assessed by comparison against the ground truth velocity field in the synthetic data and dual-VENC reconstructions in the in vivo data. RESULTS: Using the unwrapping algorithms, we were able to remove aliased voxels in the data almost entirely, reducing the L2-error compared to the ground truth by 50%-80%. Results indicated that the best choice of algorithm depend on the spatiotemporal resolution and noise level of the dataset. Temporal unwrapping is most successful with a high temporal and low spatial resolution ( δ t = 30 $$ \delta t=30 $$ ms, h = 2 . 5 $$ h=2.5 $$ mm), reducing the L2-error by 70%-85%, while Laplacian unwrapping performs better with a lower temporal or better spatial resolution ( δ t = 60 $$ \delta t=60 $$ ms, h = 1 . 5 $$ h=1.5 $$ mm), especially for signal-to-noise ratio (SNR) 12 as opposed to SNR 15, with an error reduction of 55%-85% compared to the 50%-75% achieved by the Temporal method. The differences in performance between the methods are statistically significant. CONCLUSIONS: The temporal method and spatiotemporal Laplacian method provide the best results, with the spatiotemporal Laplacian being more robust. However, single- V enc $$ {V}_{\mathrm{enc}} $$ methods only situationally and not generally reach the performance of dual- V enc $$ {V}_{\mathrm{enc}} $$ unwrapping methods.

Parental personality traits and emotion regulation: Its relationship with infants' socioemotional development during the perinatal period.

Socioemotional development is central throughout life, and it unfolds in an interpersonal context in which each significant caregiver has an impact, particularly during infancy. However, only a relatively small number of studies have investigated associations between mothers and fathers' personality and emotional characteristics with their infant's socioemotional development during the perinatal period. Therefore, the present article examines the relationship between maternal and paternal personality traits and emotion regulation difficulties during the prenatal period with offspring's socioemotional development. This was a non-experimental and longitudinal study that included a community sample of 55 mother-father-baby triads. Parental assessments were carried out between the second and third trimester of pregnancy, and baby's socio-emotional development was assessed during their 2nd month after birth. Results evidenced differences between maternal and paternal personality traits and emotion regulation difficulties during the perinatal period as well as distinct contributions on infant's socioemotional development.

A Chilean survey of perinatal women and health care professionals' views towards perinatal apps.

Background: Women around the globe are increasingly engaging with pregnancy and parenting apps, almost becoming a routine part of the maternity experience. However, little is known about what perinatal women and health care professionals feel about those apps in Latin American countries, where the digital transformation has been slower but where digital technologies could also bridge gaps in access to quality health care. Methods: This study aimed to assess views towards pregnancy and parenting apps in perinatal women and perinatal health care professionals in Chile through an online survey. In perinatal women, we explored app use, what they value in the apps they use, and what an "ideal app" would be for them. In health professionals, we explored opinions about women using perinatal apps and what they think a perfect app for their clients would be. Results: The survey was completed by 451 perinatal women and 54 perinatal health care professionals. Results show that perinatal women in Chile frequently use perinatal apps, and they and health care professionals show a positive attitude towards them. The most valued attributes are information and monitoring of body changes during pregnancy, information and monitoring of the baby's development (in the uterus and after birth), information and tips on how to stay healthy, and having the possibility to interact with other women. Conclusions: Perinatal apps are accepted by perinatal women and health care professionals in Chile. Some needs for an "ideal app" emerged. Participants mentioned the need to address mental health, including the mental health of their partner, and the need for support during the transition to parenthood.

Comparison of Improved Unidirectional Dual Velocity-Encoding MRI Methods.

BACKGROUND: In phase-contrast (PC) MRI, several dual velocity encoding methods have been proposed to robustly increase velocity-to-noise ratio (VNR), including a standard dual-VENC (SDV), an optimal dual-VENC (ODV), and bi- and triconditional methods. PURPOSE: To develop a correction method for the ODV approach and to perform a comparison between methods. STUDY TYPE: Case-control study. POPULATION: Twenty-six volunteers. FIELD STRENGTH/SEQUENCE: 1.5 T phase-contrast MRI with VENCs of 50, 75, and 150 cm/second. ASSESSMENT: Since we acquired single-VENC protocols, we used the background phase from high-VENC (VENCH ) to reconstruct the low-VENC (VENCL ) phase. We implemented and compared the unwrapping methods for different noise levels and also developed a correction of the ODV method. STATISTICAL TESTS: Shapiro-Wilk's normality test, two-way analysis of variance with homogeneity of variances was performed using Levene's test, and the significance level was adjusted by Tukey's multiple post hoc analysis with Bonferroni (P < 0.05). RESULTS: Statistical analysis revealed no extreme outliers, normally distributed residuals, and homogeneous variances. We found statistically significant interaction between noise levels and the unwrapping methods. This implies that the number of non-unwrapped pixels increased with the noise level. We found that for ß = VENCL /VENCH  = 1/2, unwrapping methods were more robust to noise. The post hoc test showed a significant difference between the ODV corrected and the other methods, offering the best results regarding the number of unwrapped pixels. DATA CONCLUSIONS: All methods performed similarly without noise, but the ODV corrected method was more robust to noise at the price of a higher computational time. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 1.

[Tactile communication within the father-mother-baby triad]. / La communication tactile au sein de la triade père-mère-bébé.

This literature review focuses on tactile interactions between parents and their infants. Research on the dyad has explored both cultural differences in touch and the relationship between touch style and hormonal secretion in both parents. The few studies that have examined this communicative modality within the triad have investigated the frequency and type of parent-infant touch, as well as the effect of skin-to-skin contact on tactile interactions at three months postpartum.

Online intervention to prevent postnatal depression and anxiety in Chilean new mothers: Protocol for a feasibility trial.

Symptoms of postpartum depression and anxiety in new mothers are prevalent and negatively impact maternal emotional wellbeing and infant development. Barriers to accessing treatment prevent women from receiving mental health care, a situation that has worsened due to the COVID-19 pandemic. mHealth interventions hold the potential to support women during the transition to parenthood despite these barriers and to promote the use of preventive interventions. This study uses a mixed methods design to assess the feasibility and preliminary effectiveness of a psychoeducational, guided mHealth intervention to prevent postpartum mental health difficulties in women who receive care in primary health centers in Chile. The study will contribute to evidence-based research on the effectiveness of mHealth interventions for new mothers from an understudied cultural background. The findings will also enable the development of a larger randomized controlled trial to assess the effectiveness of the intervention, which, if effective, could significantly contribute to the emotional wellbeing of women and their families.

Fully Three-Dimensional Hemodynamic Characterization of Altered Blood Flow in Bicuspid Aortic Valve Patients With Respect to Aortic Dilatation: A Finite Element Approach.

Background and Purpose: Prognostic models based on cardiovascular hemodynamic parameters may bring new information for an early assessment of patients with bicuspid aortic valve (BAV), playing a key role in reducing the long-term risk of cardiovascular events. This work quantifies several three-dimensional hemodynamic parameters in different patients with BAV and ranks their relationships with aortic diameter. Materials and Methods: Using 4D-flow CMR data of 74 patients with BAV (49 right-left and 25 right-non-coronary) and 48 healthy volunteers, aortic 3D maps of seventeen 17 different hemodynamic parameters were quantified along the thoracic aorta. Patients with BAV were divided into two morphotype categories, BAV-Non-AAoD (where we include 18 non-dilated patients and 7 root-dilated patients) and BAV-AAoD (where we include the 49 patients with dilatation of the ascending aorta). Differences between volunteers and patients were evaluated using MANOVA with Pillai's trace statistic, Mann-Whitney U test, ROC curves, and minimum redundancy maximum relevance algorithm. Spearman's correlation was used to correlate the dilation with each hemodynamic parameter. Results: The flow eccentricity, backward velocity, velocity angle, regurgitation fraction, circumferential wall shear stress, axial vorticity, and axial circulation allowed to discriminate between volunteers and patients with BAV, even in the absence of dilation. In patients with BAV, the diameter presented a strong correlation (> |+/-0.7|) with the forward velocity and velocity angle, and a good correlation (> |+/-0.5|) with regurgitation fraction, wall shear stress, wall shear stress axial, and vorticity, also for morphotypes and phenotypes, some of them are correlated with the diameter. The velocity angle proved to be an excellent biomarker in the differentiation between volunteers and patients with BAV, BAV morphotypes, and BAV phenotypes, with an area under the curve bigger than 0.90, and higher predictor important scores. Conclusions: Through the application of a novel 3D quantification method, hemodynamic parameters related to flow direction, such as flow eccentricity, velocity angle, and regurgitation fraction, presented the best relationships with a local diameter and effectively differentiated patients with BAV from healthy volunteers.

Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma.

Glioblastomas are malignant tumors of the central nervous system hallmarked by subclonal diversity and dynamic adaptation amid developmental hierarchies. The source of dynamic reorganization within the spatial context of these tumors remains elusive. Here, we characterized glioblastomas by spatially resolved transcriptomics, metabolomics, and proteomics. By deciphering regionally shared transcriptional programs across patients, we infer that glioblastoma is organized by spatial segregation of lineage states and adapts to inflammatory and/or metabolic stimuli, reminiscent of the reactive transformation in mature astrocytes. Integration of metabolic imaging and imaging mass cytometry uncovered locoregional tumor-host interdependence, resulting in spatially exclusive adaptive transcriptional programs. Inferring copy-number alterations emphasizes a spatially cohesive organization of subclones associated with reactive transcriptional programs, confirming that environmental stress gives rise to selection pressure. A model of glioblastoma stem cells implanted into human and rodent neocortical tissue mimicking various environments confirmed that transcriptional states originate from dynamic adaptation to various environments.

T-cell dysfunction in the glioblastoma microenvironment is mediated by myeloid cells releasing interleukin-10.

Despite recent advances in cancer immunotherapy, certain tumor types, such as Glioblastomas, are highly resistant due to their tumor microenvironment disabling the anti-tumor immune response. Here we show, by applying an in-silico multidimensional model integrating spatially resolved and single-cell gene expression data of 45,615 immune cells from 12 tumor samples, that a subset of Interleukin-10-releasing HMOX1+ myeloid cells, spatially localizing to mesenchymal-like tumor regions, drive T-cell exhaustion and thus contribute to the immunosuppressive tumor microenvironment. These findings are validated using a human ex-vivo neocortical glioblastoma model inoculated with patient derived peripheral T-cells to simulate the immune compartment. This model recapitulates the dysfunctional transformation of tumor infiltrating T-cells. Inhibition of the JAK/STAT pathway rescues T-cell functionality both in our model and in-vivo, providing further evidence of IL-10 release being an important driving force of tumor immune escape. Our results thus show that integrative modelling of single cell and spatial transcriptomics data is a valuable tool to interrogate the tumor immune microenvironment and might contribute to the development of successful immunotherapies.

Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning.

Recent advances in medical imaging have confirmed the presence of altered hemodynamics in bicuspid aortic valve (BAV) patients. Therefore, there is a need for new hemodynamic biomarkers to refine disease monitoring and improve patient risk stratification. This research aims to analyze and extract multiple correlation patterns of hemodynamic parameters from 4D Flow MRI data and find which parameters allow an accurate classification between healthy volunteers (HV) and BAV patients with dilated and non-dilated ascending aorta using machine learning. Sixteen hemodynamic parameters were calculated in the ascending aorta (AAo) and aortic arch (AArch) at peak systole from 4D Flow MRI. We used sequential forward selection (SFS) and principal component analysis (PCA) as feature selection algorithms. Then, eleven machine-learning classifiers were implemented to separate HV and BAV patients (non- and dilated ascending aorta). Multiple correlation patterns from hemodynamic parameters were extracted using hierarchical clustering. The linear discriminant analysis and random forest are the best performing classifiers, using five hemodynamic parameters selected with SFS (velocity angle, forward velocity, vorticity, and backward velocity in AAo; and helicity density in AArch) a 96.31 ± 1.76% and 96.00 ± 0.83% accuracy, respectively. Hierarchical clustering revealed three groups of correlated features. According to this analysis, we observed that features selected by SFS have a better performance than those selected by PCA because the five selected parameters were distributed according to 3 different clusters. Based on the proposed method, we concluded that the feature selection method found five potentially hemodynamic biomarkers related to this disease.

The impact of COVID-19 on experiences of pregnancy and/or early parenting in Chile.

The unprecedented COVID-19 pandemic has impacted families' mental health around the globe. In June 2020, 1163 parents of high (43%), middle (47%), and low socioeconomic status (SES) (10%) participated in an online survey developed to explore how daily life changes and restrictions that came with COVID-19 affected the experiences of pregnancy and/or parenting children under the age of 5 in Chile. The survey's design had an exploratory and descriptive scope, with a mix of qualitative and quantitative questions. With the aim of exploring differences before and after COVID-19, two time periods were established, and the 47-item questionnaire covered participants' sociodemographic information, support networks, health concerns, mood changes, self-regulation, adult and children's perceived well-being, parental competencies and parents' perceptions of the unborn baby and/or their children's needs. The results relative to retrospective reporting of pre-pandemic levels, showed an increase in children's crying and tantrums as well as in parental irritability and sadness. Additionally, decreases in the ability to calm down and sleep quality in both parents and children were identified. Finally, at a qualitative level, COVID-19 stands out both as an opportunity to get to know their children better and as a stressor related to parental burn-out and discomfort.

La sin precedentes pandemia del COVID-19 ha tenido un impacto en la salud mental de las familias alrededor del mundo. En junio de 2020, 1,163 progenitores de condiciones socioeconómicas (SES) altas (43%), medias (47%) y bajas (10%) participaron en una encuesta por computadora desarrollada para explorar cómo los cambios en la vida diaria y las restricciones que surgieron con el COVID-19 afectaron las experiencias de embarazo y/o crianza de niños bajo la edad de 5 años en Chile. El diseño de la encuesta tenía un alcance exploratorio y descriptivo, con una mezcla de preguntas cualitativas y cuantitativas. Con el propósito de explorar las diferencias antes y después del COVID-19, se establecieron dos períodos de tiempo, y el cuestionario de 47 puntos cubría la información sociodemográfica de los participantes, las redes de apoyo, las preocupaciones relacionadas con la salud, los cambios en el estado de ánimo, la autorregulación, la percepción del bienestar de adultos y niños, las competencias de los padres y las percepciones de los padres acerca del bebé no nacido y/o las necesidades de sus niños. Los resultados relativos al reporte retrospectivo de niveles previos a la pandemia mostraron un incremento en el llanto y las rabietas de los niños como también en la irritabilidad y estado de tristeza de los padres. Adicionalmente, se identificó una disminución en la habilidad de calmar y la calidad del sueño tanto en padres como en niños. Finalmente, al nivel cualitativo, el COVID-19 se presenta tanto como una oportunidad de llegar a conocer mejor a sus niños y como un factor de estrés relacionado con la fatiga y la incomodidad de los padres.

La pandémie sans précédent du COVID-19 a impacté la santé mentale des familles dans le monde entier. En juin 2020 1163 parents issus d'un milieu socioéconomique élevé (43%), moyen (47%) et peu élevé (10%) ont participé à un questionnaire en ligne afin d'explorer comment les changements de la vie de tous les jours et les restrictions qui ont accompagné le COVID-19 ont affecté les expériences de grossesse et/ou le parentage d'enfants sous l'âge de 5 ans au Chili. La conception de l'enquête avait une portée exploratoire et descriptive, avec un mélange de questions qualitatives et quantitatives. Avec le but d'explorer les différences entre l'avant et l'après COVID-19, deux périodes de temps ont été établies, et le questionnaire de 47 éléments a couvert les renseignements sociodémographiques des participants, leurs réseaux de soutien, leurs inquiétudes relatives à la santé, les changements d'humeurs, l'auto-régulation, le bien-être perçu des adultes et des enfants, les compétences parentales et les perceptions des parents du bébé à naître et/ou des besoins de leurs enfants. Les résultats relatifs aux états de fait rétrospectifs de niveaux pré pandémiques ont montré une augmentation des pleurs des enfants et des crises des enfants ainsi qu'une augmentation de l'irritabilité et de la tristesse parentale. De plus des baisses dans la capacité à se calmer t dans la qualité de sommeil des deux parents et des enfants ont été identifiées. Finalement, au niveau qualitatif, le COVID-19 se distingue à la fois en tant qu'une chance de mieux connaître leurs enfants et en tant que facteur de stress lié au burn-out et au malaise parental.

Depression and Antidepressants During Pregnancy: Craniofacial Defects Due to Stem/Progenitor Cell Deregulation Mediated by Serotonin.

Depression is a common and debilitating mood disorder that increases in prevalence during pregnancy. Worldwide, 7 to 12% of pregnant women experience depression, in which the associated risk factors include socio-demographic, psychological, and socioeconomic variables. Maternal depression could have psychological, anatomical, and physiological consequences in the newborn. Depression has been related to a downregulation in serotonin levels in the brain. Accordingly, the most commonly prescribed pharmacotherapy is based on selective serotonin reuptake inhibitors (SSRIs), which increase local serotonin concentration. Even though the use of SSRIs has few adverse effects compared with other antidepressants, altering serotonin levels has been associated with the advent of anatomical and physiological changes in utero, leading to defects in craniofacial development, including craniosynostosis, cleft palate, and dental defects. Migration and proliferation of neural crest cells, which contribute to the formation of bone, cartilage, palate, teeth, and salivary glands in the craniofacial region, are regulated by serotonin. Specifically, craniofacial progenitor cells are affected by serotonin levels, producing a misbalance between their proliferation and differentiation. Thus, it is possible to hypothesize that craniofacial development will be affected by the changes in serotonin levels, happening during maternal depression or after the use of SSRIs, which cross the placental barrier, increasing the risk of craniofacial defects. In this review, we provide a synthesis of the current research on depression and the use of SSRI during pregnancy, and how this could be related to craniofacial defects using an interdisciplinary perspective integrating psychological, clinical, and developmental biology perspectives. We discuss the mechanisms by which serotonin could influence craniofacial development and stem/progenitor cells, proposing some transcription factors as mediators of serotonin signaling, and craniofacial stem/progenitor cell biology. We finally highlight the importance of non-pharmacological therapies for depression on fertile and pregnant women, and provide an individual analysis of the risk-benefit balance for the use of antidepressants during pregnancy.

Mapping of Metabolic Heterogeneity of Glioma Using MR-Spectroscopy.

Proton magnetic resonance spectroscopy (1H-MRS) delivers information about the non-invasive metabolic landscape of brain pathologies. 1H-MRS is used in clinical setting in addition to MRI for diagnostic, prognostic and treatment response assessments, but the use of this radiological tool is not entirely widespread. The importance of developing automated analysis tools for 1H-MRS lies in the possibility of a straightforward application and simplified interpretation of metabolic and genetic data that allow for incorporation into the daily practice of a broad audience. Here, we report a prospective clinical imaging trial (DRKS00019855) which aimed to develop a novel MR-spectroscopy-based algorithm for in-depth characterization of brain lesions and prediction of molecular traits. Dimensional reduction of metabolic profiles demonstrated distinct patterns throughout pathologies. We combined a deep autoencoder and multi-layer linear discriminant models for voxel-wise prediction of the molecular profile based on MRS imaging. Molecular subtypes were predicted by an overall accuracy of 91.2% using a classifier score. Our study indicates a first step into combining the metabolic and molecular traits of lesions for advancing the pre-operative diagnostic workup of brain tumors and improve personalized tumor treatment.

Surgery for IDH1/2 wild-type glioma invading the corpus callosum.

BACKGROUND: Glioblastoma of the corpus callosum (ccGBM) are rare tumors, with a dismal prognosis marked by a rapid clinical deterioration. For a long time, surgical treatment was not considered beneficial for most patients with such tumors. Recent studies claimed an improved survival for patients undergoing extensive resection, albeit without integration of the molecular profile of the lesions. The purpose of this study was to investigate the effect of biopsy and surgical resection on oncological and functional outcomes in patients with IDH wild-type ccGBM. METHODS: We performed a retrospective analysis of our institution's database of patients having been treated for high-grade glioma between 2005 and 2017. Inclusion criteria were defined as follows: patients older than 18 years, histopathological, and molecularly defined IDH wild-type glioma, major tumor mass (at least 2/3) invading the corpus callosum in the sagittal plane with a uni- or bilateral infiltration of the adjacent lobules. Surgical therapy (resection vs. biopsy), extent of resection according to the remaining tumor volume and adjuvant treatment as well as overall survival and functional outcome using the Karnofsky Performance Score (KPS) were analyzed. RESULTS: Fifty-five patients were included in the study, from which the mean age was 64 years and men (n = 34, 61.8%) were more often affected than women (n = 21, 38.2%). Thirty (54.5%) patients were treated with stereotactic biopsy alone, while 25 patients received tumor resection resulting in 14.5% (n = 8) gross-total resections and 30.9% (n = 17) partial resections. The 2-year survival rate after resection was 30% compared to 7% after biopsy (p = 0.047). The major benefit was achieved in the group with gross-total resection, while partial resection failed to improve survival. Neurological outcome measured by KPS did not differ between both groups either pre- or postoperatively. CONCLUSIONS: Our study suggests that in patients with corpus callosum glioblastoma, gross-total resection prolongs survival without negatively impacting neurological outcome as compared to biopsy.