Persons newly diagnosed with dementia and their family member is imperative often experience uncertainty and inadequate support. This study aims to evaluate a post-diagnostic support programme guided by the 5 Pillars Model proposed by Alzheimer Scotland on the self-efficacy among persons with early dementia and their family members.

A prospective cohort study design was conducted between 2019 and 2022. Subject recruitment was conducted in four non-government organizations. A multi-domain empowerment programme, covering various aspects about dementia knowledge, management skills, peer support, future decision-making and community resources, was developed. The programme was provided to people newly diagnosed of early dementia in small group format over 2 months and to family members individually through an eLearning platform over 9 months. Self efficacy in dementia management of people with dementia and their family members were measured using Chronic Disease Self-efficacy Scale and Caregiver Self-efficacy Scale (CSES), respectively, whereas caregiving burden was measured using Zarit Burden Interview (ZBI). Study outcomes were measured at baseline, immediate and 6-month post-intervention. Paired t-tests were performed to detect within-subject changes over time.

A total of 151 persons with early dementia and 294 family caregivers completed assessment at baseline and follow up. Self-efficacy in dementia management reported by persons with dementia at 6-month post-intervention was significantly higher than that reported at baseline (p = .021) and immediate post-intervention (i.e. 2-month follow up) (p = .006). Family members reported a significantly higher CSES score (p < .001) and subscale scores in thoughts (p = .001) and disruptive behaviour management (p = .001) at 9-month follow up, but significant reduction in caregiving burden (p < .001) was only noted among those who perceived higher burden than the local norms at baseline (ZBI score ≥ 25, n = 110).

This study provides empirical evidence that post-diagnostic support would empower persons with early dementia and their family members on adapting the impacts brought by dementia. Further study on examining the longer term effects on care outcomes and health service utilisation would be valuable.

People with dementia are more prone to premature nursing home placement after hospitalization due to physical and mental deconditioning which makes care-at- home more difficult. This study aimed to evaluate the effect of a post hospital discharge transitional care program on reduction of nursing home placement in people with dementia.

A matched case-control study was conducted between 2018 and 2021. A transitional care program using case management approach was developed. Participants enrolled the program by self-enrolment or referral from hospitals or NGOs. Community-dwelling people with dementia discharged from hospitals received a four- week residential care at a dementia care centre with intensive nursing care, physiotherapy and group activities promoting social engagement, followed by eight- week day care rehabilitation activities to improve their mobility and cognitive functioning. They were matched on a 1:5 ratio by age and sex to people with dementia discharged from a convalescent hospital who did not participate in this program for comparison. The study outcome was nursing home admission, measured three months (i.e. post-intervention), six months, and nine months after hospital discharge. Multinomial logistic regression was conducted to investigate factors associated with nursing home placement at each measurement time-point.

361 hospital admission episodes (n=67 interevntion, n=294 control) were examined. The regression results showed that participants in the intervention group were significantly less likely to be admitted to nursing home three months (OR = 0.023, 95% CI: 0.003-0.201, p = .001) and six months (OR = 0.094, 95% CI: 0.025-0.353, p = .001) than the controls after hospital discharge, but the intervention effect did not sustain nine months after hospital discharge. Longer hospital length of stay, and hospital admission due to dementia, mental disturbances such as delirium, or mental disorders IPA_Abstract_PDP_20230119_clean 2 such as schizophrenia significantly predicted nursing home admission three months and six months after hospital discharge.

The transitional care program could help reduce nursing home placement in people with dementia after hospital discharge. To sustain the intervention effect, more continual support after the intervention as well as family caregiver training would be required.

In vivo and in vitro studies suggest that inflammation and oxidative damage may contribute to the pathogenesis of major depressive disorder (MDD) and bipolar disorder (BD). Imbalance between DNA damage and repair is an emerging research area examining pathophysiological mechanisms of these major mood disorders.

This systematic review sought to examine current evidence on the association between mood disorders and deficits in base excision repair (BER), the primary repair mechanism for repair of oxidation-induced DNA lesions.

We conducted a comprehensive literature search of Ovid MEDLINE® Epub Ahead of Print, Ovid MEDLINE® In-Process & Other Non-Indexed Citations, Ovid MEDLINE® Daily, EMBASE (1947), and PsycINFO for studies investigating the alterations in base excision repair in patients with MDD or BD.

A total of 1,364 records were identified. 1,352 records remained after duplicates were removed. 24 records were selected for full-text screening and a remaining 12 articles were included in the qualitative synthesis. SNPs (Single Nucleotide Polymorphisms) of several BER genes have been shown to be associated with MDD and BD. However, it was difficult to draw conclusions from BER gene expression studies due to conflicting findings and the small number of studies.

Future studies comparing DNA repair during the manic or depressive episode to remission will give us a better insight regarding the role of DNA repair in mood disorders. These alterations might be utilized as diagnostic and prognostic biomarkers as well as measuring treatment response.

No significant relationships.

Researchers at the Centers for Disease Control and Prevention monitor unplanned school closure (USC) reports through online systematic searches (OSS) to assist public health emergency responses. We counted the additional reports identified through social media along with OSS to improve USC monitoring.

Facebook and Twitter data of public-school districts and private schools in counties affected by California wildfires in October and December of 2017 and January of 2018 were retrieved. We computed descriptive statistics and performed multivariable logistic regression for both OSS and social media data.

Among the 362 public-school districts in wildfire-affected counties, USCs were identified for 115 (32%) districts, of which OSS identified 104 (90%), Facebook, 59 (52%), and Twitter, 37 (32%). These data correspond to 4622 public schools, among which USCs were identified for 888 (19.2%) schools, of which OSS identified 722 (81.3%), Facebook, 496 (55.9%), and Twitter, 312 (35.1%). Among 1289 private schools, USCs were identified for 104 schools, of which OSS identified 47 (45.2%), Facebook, 67 (64.4%), and Twitter, 29 (27.9%). USC announcements identified via social media, in addition to those via OSS, were 11 public school districts, 166 public schools, and 57 private schools.

Social media complements OSS as additional resources for USC monitoring during disasters.

Predictors of new-onset bipolar disorder (BD) or psychotic disorder (PD) have been proposed on the basis of retrospective or prospective studies of ‘at-risk’ cohorts. Few studies have compared concurrently or longitudinally factors associated with the onset of BD or PDs in youth presenting to early intervention services. We aimed to identify clinical predictors of the onset of full-threshold (FT) BD or PD in this population.

Multi-state Markov modelling was used to assess the relationships between baseline characteristics and the likelihood of the onset of FT BD or PD in youth (aged 12–30) presenting to mental health services.

Of 2330 individuals assessed longitudinally, 4.3% (n = 100) met criteria for new-onset FT BD and 2.2% (n = 51) met criteria for a new-onset FT PD. The emergence of FT BD was associated with older age, lower social and occupational functioning, mania-like experiences (MLE), suicide attempts, reduced incidence of physical illness, childhood-onset depression, and childhood-onset anxiety. The emergence of a PD was associated with older age, male sex, psychosis-like experiences (PLE), suicide attempts, stimulant use, and childhood-onset depression.

Identifying risk factors for the onset of either BD or PDs in young people presenting to early intervention services is assisted not only by the increased focus on MLE and PLE, but also by recognising the predictive significance of poorer social function, childhood-onset anxiety and mood disorders, and suicide attempts prior to the time of entry to services. Secondary prevention may be enhanced by greater attention to those risk factors that are modifiable or shared by both illness trajectories.

To aid emergency response, Centers for Disease Control and Prevention (CDC) researchers monitor unplanned school closures (USCs) by conducting online systematic searches (OSS) to identify relevant publicly available reports. We examined the added utility of analyzing Twitter data to improve USC monitoring.

Georgia public school data were obtained from the National Center for Education Statistics. We identified school and district Twitter accounts with 1 or more tweets ever posted (“active”), and their USC-related tweets in the 2015-16 and 2016-17 school years. CDC researchers provided OSS-identified USC reports. Descriptive statistics, univariate, and multivariable logistic regression were computed.

A majority (1,864/2,299) of Georgia public schools had, or were in a district with, active Twitter accounts in 2017. Among these schools, 638 were identified with USCs in 2015-16 (Twitter only, 222; OSS only, 2015; both, 201) and 981 in 2016-17 (Twitter only, 178; OSS only, 107; both, 696). The marginal benefit of adding Twitter as a data source was an increase in the number of schools identified with USCs by 53% (222/416) in 2015-16 and 22% (178/803) in 2016-17.

Policy-makers may wish to consider the potential value of incorporating Twitter into existing USC monitoring systems.

Childhood maltreatment (CM) plays an important role in the development of major depressive disorder (MDD). The aim of this study was to examine whether CM severity and type are associated with MDD-related brain alterations, and how they interact with sex and age.

Within the ENIGMA-MDD network, severity and subtypes of CM using the Childhood Trauma Questionnaire were assessed and structural magnetic resonance imaging data from patients with MDD and healthy controls were analyzed in a mega-analysis comprising a total of 3872 participants aged between 13 and 89 years. Cortical thickness and surface area were extracted at each site using FreeSurfer.

CM severity was associated with reduced cortical thickness in the banks of the superior temporal sulcus and supramarginal gyrus as well as with reduced surface area of the middle temporal lobe. Participants reporting both childhood neglect and abuse had a lower cortical thickness in the inferior parietal lobe, middle temporal lobe, and precuneus compared to participants not exposed to CM. In males only, regardless of diagnosis, CM severity was associated with higher cortical thickness of the rostral anterior cingulate cortex. Finally, a significant interaction between CM and age in predicting thickness was seen across several prefrontal, temporal, and temporo-parietal regions.

Severity and type of CM may impact cortical thickness and surface area. Importantly, CM may influence age-dependent brain maturation, particularly in regions related to the default mode network, perception, and theory of mind.

The pathophysiological entity of a persisting left-sided superior caval vein draining into the roof of the left atrium represents an extreme form of coronary sinus de-roofing. This is an uncommon, but well-documented condition associated with systemic desaturation due to a right-to-left shunt. Depending on the size of the coronary ostium, the defect may also present with right-sided volume loading. We describe two patients, both of whom presented with desaturation, and highlight the important anatomical features underscoring management.

Both patients were managed interventionally with previous assessment of the size of the coronary sinus ostium through cross-sectional imaging. This revealed a restrictive interatrial communication at the right atrial mouth of the coronary sinus in both patients, which permitted an interventional approach, as the residual left-to-right shunt subsequent to closure of the aberrant vessel would be negligible. At intervention, test occlusion of the left superior caval vein allowed assessment of decompressing vessels before successful occlusion using an Amplatzer Vascular Plug.

Persistence of a left superior caval vein draining to the left atrium may be associated with an interatrial communication at the mouth of the unroofed coronary sinus. The ostium of the de-roofed coronary sinus can be atretic, restrictive, normally sized, or enlarged. Careful assessment of the size of this defect is required before treatment. In view of its importance, which has received little attention in the literature to date, we suggest an additional consideration to the classification of unroofed coronary sinus.

There is a growing body of literature describing the characteristics of patients who plan for the end of life, but little research has examined how caregivers influence patients' advance care planning (ACP). The purpose of this study was to examine how patient and caregiver characteristics are associated with advance directive (AD) completion among patients diagnosed with a terminal illness. We defined AD completion as having completed a living will and/or identified a healthcare power of attorney.

A convenience sample of 206 caregiver–patient dyads was included in the study. All patients were diagnosed with an advanced life-limiting illness. Trained research nurses administered surveys to collect information on patient and caregiver demographics (i.e., age, sex, race, education, marital status, and individual annual income) and patients' diagnoses and completion of AD. Multivariate logistic regression was employed to model predictors for patients' AD completion.

Over half of our patient sample (59%) completed an AD. Patients who were older, diagnosed with amyotrophic lateral sclerosis, and with a caregiver who was Caucasian or declined to report an income level were more likely to have an AD in place.

Our results suggest that both patient and caregiver characteristics may influence patients' decisions to complete an AD at the end of life. When possible, caregivers should be included in advance care planning for patients who are terminally ill.