This work builds on a survey first done in 1999 to understand how old age psychiatry teaching is embedded in undergraduate medical schools in the UK and Ireland and the influence of academic old age psychiatrists on teaching processes. We invited deans of 31 medical schools in the UK and Ireland in 2015 to complete an online survey to reassess the situation 16 years later.

Response rate was 74%. As found in the original survey, there was variation across medical schools in how old age psychiatry is taught. Half of schools stated there was not enough space in the curriculum dedicated to old age psychiatry, and not all medical school curricula offered a clinical attachment. Medical schools that involved academic old age psychiatrists in teaching (59%) showed a greater diversity of teaching methods.

There is a need to recognise the importance of old age psychiatry teaching, with the consensus of opinion continuing to be that more curriculum space needs to be given to old age psychiatry. To achieve this we advocate increasing the number of old age psychiatrists with teaching roles, as relying on academics to teach and lead on curriculum development is challenging given their greater research pressures.

Despite awareness of the negative health and financial outcomes of delirium, systems to routinely assess and manage the condition are absent in clinical practice. We report the development and pilot evaluation of a Delirium Early Monitoring System (DEMS), designed to be completed by non-medical staff to influence clinical processes within inpatient settings. Two versions of the DEMS are described based on a modified Confusion Assessment Method (DEMS-CAM) and Delirium Observation Screening Scale (DEMS-DOSS).

Both versions of DEMS were piloted on a 20-bedded Psychogeriatric ward over 6 weeks. Training was administered to ward staff on the use of each version of the DEMS and data were collected via electronic medical records and completed assessment sheets. The primary outcome was patterns of DEMS use and the secondary outcome was the initiation of delirium management protocols. Data regarding the use of the DEMS DOSS and DEMS CAMS were analyzed using χ2 tests.

Completion rates for the DEMS CAM and DEMS DOSS were 79% and 68%, respectively. Non-medical staff were significantly more likely to use the DEMS-CAM as part of daily practice as opposed to the DEMS-DOSS (p<0.001). However, there was no difference between the use of the DEMS-CAM and DEMS-DOSS in triggering related actions such as documentation of assessment scores in patients’ medical records and implementation of delirium management protocols.

This real world evaluation revealed that non-medical staff were able to incorporate delirium monitoring into their practice, on the majority of occasions, as part of their daily working routine. Further research is necessary to determine if the routine use of the DEMS can lead to improved understandings and practice of non-medical staff regarding delirium detection.

Despite advances in delirium knowledge and the publication of best practice guidelines, uncertainties exist regarding assessment of Delirium Superimposed on Dementia (DSD). An international survey of delirium specialists was undertaken to evaluate current practice.

Invitations to participate in an online survey were distributed by email among members of four international delirium associations with additional publication on their websites. The survey covered the assessment and diagnosis of DSD in clinical practice and research studies. Questions were structured around current practice and attitudes.

The 205 responders were mostly confident that they could detect DSD with 60% rating their confidence at 7 or above on a likert scale of 0 (none) to 10 (excellent). Seventy-six percent felt that Dementia with Lewy Bodies (DLB) was the most challenging dementia subtype in which to diagnose DSD. Several scales were used to assess for the presence of DSD including the Confusion Assessment Method (CAM) (54%), DSM-5 criteria (25%) and CAM-ICU (15%). Responders stated that attention (71%), fluctuation in cognitive status (65%), and arousability (41%) were the most clinically useful features to assess when diagnosing DSD. Motor fluctuations were also deemed important but 61% had no specific test to monitor these.

The largest survey of DSD practice to date demonstrates that despite good levels of confidence in recognizing DSD, there exists a lack of consensus concerning assessment and diagnosis globally. These findings suggest the need for the development of more research leading to precise diagnostic criteria and comprehensive guidelines regarding the assessment and diagnosis of DSD.

Brain white matter changes (WMC) and depressive symptoms are linked, but the directionality of this association remains unclear.

To investigate the relationship between baseline and incident depression and progression of white matter changes.

In a longitudinal multicentre pan-European study (Leukoaraiosis and Disability in the elderly, LADIS), participants aged over 64 underwent baseline magnetic resonance imaging (MRI) and clinical assessments. Repeat scans were obtained at 3 years. Depressive outcomes were assessed in terms of depressive episodes and the Geriatric Depression Scale (GDS). Progression of WMC was measured using the modified Rotterdam Progression scale.

Progression of WMC was significantly associated with incident depression during year 3 of the study (P = 0.002) and remained significant after controlling for transition to disability, baseline WMC and baseline history of depression. There was no significant association between progression of WMC and GDS score, and no significant relationship between progression of WMC and history of depression at baseline.

Our results support the vascular depression hypothesis and implicate WMC as causal in the pathogenesis of late-life depression.

Evidence from cross-sectional studies suggests a link between cerebral age-related white matter changes and depressive symptoms in older people, although the temporal association remains unclear.

To investigate age-related white matter changes on magnetic resonance imaging (MRI) as an independent predictor of depressive symptoms at 1 year after controlling for known confounders.

In a pan-European multicentre study of 639 older adults without significant disability, MRI white matter changes and demographic and clinical variables, including cognitive scores, quality of life, disability and depressive symptoms, were assessed at baseline. Clinical assessments were repeated at 1 year.

Using logistic regression analysis, severity of white matter changes was shown to independently and significantly predict depressive symptoms at 1 year after controlling for baseline depressive symptoms, quality of life and worsening disability (P<0.01).

White matter changes pre-date and are associated with the development of depressive symptoms. This has implications for treatment and prevention of depression in later life.