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Cognitive–behavioural therapy (CBT) is a first-line treatment for depressive disorders, but research on its neurobiological mechanisms is limited. Given the heterogeneity in CBT response, investigating the neurobiological effects of CBT may improve response prediction and outcomes.
Aims
To examine brain functional changes during negative emotion processing following naturalistic CBT.
Method
In this case-control study, 59 patients with depressive disorders were investigated before and after 20 CBT sessions using a negative-emotion-processing paradigm during functional magnetic resonance imaging, clinical interviews and depressive symptom questionnaires. Healthy controls (n = 60) were also assessed twice within an equivalent time interval. Patients were classified into subgroups based on changes in diagnosis according to DSM-IV criteria (n = 40 responders, n = 19 non-responders). Brain activity changes were examined using group × time analysis of variance for limbic areas, and at the whole-brain level.
Results
Analyses yielded a significant group × time interaction in the hippocampus (P family-wise error [PFWE] = 0.022, ηP2 = 0.101), and a significant main effect of time in the dorsal anterior cingulate cortex (PFWE = 0.043, ηP² = 0.098), resulting from activity decreases following CBT (PFWE ≤ 0.024, ηP² ≤ 0.233), with no changes in healthy controls. Hippocampal activity decreases were driven by responders (PFWE ≤ 0.020, ηP² ≤ 0.260) and correlated with symptom improvement (r = 0.293, P = 0.024). Responders exhibited higher pre-treatment hippocampal activity (PFWE = 0.017, ηP² = 0.189).
Conclusions
Following CBT, reduced activity in emotion-processing regions was observed in patients with depressive disorders, with hippocampal activity decreases linked to treatment response. This suggests successful CBT could correct biased emotion processing, potentially by altering activity in key areas of emotion processing.Hippocampal activity may function as a predictive marker of CBT response.
Critical CHD is associated with morbidity and mortality, worsened by delayed diagnosis. Paediatric residents are front-line clinicians, yet identification of congenital CHD remains challenging. Current exposure to cardiology is limited in paediatric resident education. We evaluated the impact of rapid cycle deliberate practice simulation on paediatric residents’ skills, knowledge, and perceived competence to recognise and manage infants with congenital CHD.
Methods:
We conducted a 6-month pilot study. Interns rotating in paediatric cardiology completed a case scenario assessment during weeks 1 and 4 and participated in paired simulations (traditional debrief and rapid cycle deliberate practice) in weeks 2–4. We assessed interns’ skills during the simulation using a checklist of “cannot miss” tasks. In week 4, they completed a retrospective pre-post knowledge-based survey. We analysed the data using summary statistics and mixed effect linear regression.
Results:
A total of 26 interns participated. There was a significant increase in case scenario assessment scores between weeks 1 and 4 (4, interquartile range 3–6 versus 8, interquartile range 6–10; p-value < 0.0001). The percentage of “cannot miss” tasks on the simulation checklist increased from weeks 2 to 3 (73% versus 83%, p-value 0.0263) and from weeks 2–4 (73% versus 92%, p-value 0.0025). The retrospective pre-post survey scores also increased (1.67, interquartile range 1.33–2.17 versus 3.83, interquartile range 3.17–4; p-value < 0.0001).
Conclusion:
Rapid cycle deliberate practice simulations resulted in improved recognition and initiation of treatment of simulated infants with congenital CHD among paediatric interns. Future studies will include full implementation of the curriculum and knowledge retention work.
Medical-legal partnerships connect legal advocates to healthcare providers and settings. Maintaining effectiveness of medical-legal partnerships and consistently identifying opportunities for innovation and adaptation takes intentionality and effort. In this paper, we discuss ways in which our use of data and quality improvement methods have facilitated advocacy at both patient (client) and population levels as we collectively pursue better, more equitable outcomes.
Identification of treatment-specific predictors of drug therapies for bipolar disorder (BD) is important because only about half of individuals respond to any specific medication. However, medication response in pediatric BD is variable and not well predicted by clinical characteristics.
Methods
A total of 121 youth with early course BD (acute manic/mixed episode) were prospectively recruited and randomized to 6 weeks of double-blind treatment with quetiapine (n = 71) or lithium (n = 50). Participants completed structural magnetic resonance imaging (MRI) at baseline before treatment and 1 week after treatment initiation, and brain morphometric features were extracted for each individual based on MRI scans. Positive antimanic treatment response at week 6 was defined as an over 50% reduction of Young Mania Rating Scale scores from baseline. Two-stage deep learning prediction model was established to distinguish responders and non-responders based on different feature sets.
Results
Pre-treatment morphometry and morphometric changes occurring during the first week can both independently predict treatment outcome of quetiapine and lithium with balanced accuracy over 75% (all p < 0.05). Combining brain morphometry at baseline and week 1 allows prediction with the highest balanced accuracy (quetiapine: 83.2% and lithium: 83.5%). Predictions in the quetiapine and lithium group were found to be driven by different morphometric patterns.
Conclusions
These findings demonstrate that pre-treatment morphometric measures and acute brain morphometric changes can serve as medication response predictors in pediatric BD. Brain morphometric features may provide promising biomarkers for developing biologically-informed treatment outcome prediction and patient stratification tools for BD treatment development.
Survivors of mass casualty incidents are vulnerable to both physical and psychological injuries. Hospitals need to triage the walking wounded victims, their loved ones, and witnesses for symptoms of emotional distress to ensure that those who are traumatized benefit from proactive psychological treatment. Hospitals must also manage the influx of searching family and friends, and be able to reunite them with their loved ones, to reduce chaos and prevent hospital skipping.
Aim:
To analyze previous research on institutional psychosocial disaster response, what has or has not worked, and lessons learned in order to develop evidence-based future planning suggestions.
Methods:
A literature search was conducted on the following electronic databases: (Medline 2007 to July 2018), (Embase 2007 to July 2018), (PsycInfo 2007 to July 2018). A combination of subject headings and free text keywords were used to perform the searches. After removing duplicates, abstracts were screened independently by two reviewers for the following inclusion criteria: 1) crisis intervention (in a disaster situation), 2) mention of psychosocial response or lack thereof and lessons learned, 3)relevant outcomes, 4) OECD countries, and 5) journal articles published 2007–Present. Review articles were excluded. Primary and secondary reviewers are in the process of discussing discrepancies. Data extraction will be conducted from all articles that meet the inclusion criteria. Key themes to be analyzed include psychological casualties, searching family and friends, and family reunification plans.
Results:
The initial search yielded 6,267 results. 5,294 articles remained after duplicates were removed. Of the 4,890 reviewed thus far, 269 articles met inclusion criteria.
Discussion:
Although a wealth of existing literature notes the need for an effective psychosocial response in mass trauma and disaster situations, no prior study has analyzed the efficacy of such interventions or laid out an evidence-based plan. This study will fill this much-needed gap in the literature.
Expert knowledge of cardiac malformations is essential for paediatric cardiologists. Current cardiac morphology fellowship teaching format, content, and nomenclature are left up to the discretion of the individual fellowship programmes. We aimed to assess practices and barriers in morphology education, perceived effectiveness of current curricula, and preferences for a standardised fellow morphology curriculum.
Methods
A web-based survey was developed de novo and administered anonymously via e-mail to all paediatric cardiology fellowship programme directors and associate directors in the United States of America; leaders were asked to forward the survey to fellows.
Results
A total of 35 directors from 32 programmes (51%) and 66 fellows responded. Curriculum formats varied: 28 (88%) programmes utilised pathological specimens, 25 (78%) invited outside faculty, and 16 (50%) utilised external conferences. Director nomenclature preferences were split – 6 (19%) Andersonian, 8 (25%) Van Praaghian, and 18 (56%) mixed. Barriers to morphology education included time and inconsistent nomenclature. One-third of directors reported that <90% of recent fellow graduates had adequate abilities to apply segmental anatomy, identify associated cardiac lesions, or communicate complex CHD. More structured teaching, protected time, and specimens were suggestions to improve curricula. Almost 75% would likely adopt/utilise an online morphology curriculum.
Conclusions
Cardiac morphology training varies in content and format among fellowships. Inconsistent nomenclature exists, and inadequate morphology knowledge is perceived to contribute to communication failures, both have potential patient safety implications. There is an educational need for a common, online cardiac morphology curriculum that could allow for fellow assessment of competency and contribute to more standardised communication in the field of paediatric cardiology.
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