Schizophrenia spectrum disorders confer an increased and earlier dementia diagnosis risk, but the relative timing and course of cognitive decline compared to individuals with affective disorders is unclear.

This retrospective study used de-identified electronic patient records to compare cognitive trajectories from the first recorded MMSE, representing the earliest cognitive concerns in relation to a possible dementia syndrome, and subsequent dementia risk between patients with a schizophrenia spectrum and primary affective disorder diagnosis. Patients had at least two MMSE scores recorded at least 6 months apart. We examined annual MMSE change from the first recorded MMSE, dementia risk, dementia subtypes, and rates of dementia assessment and treatment.

Compared to affective disorders (n = 2,264; 71.1 years), schizophrenia spectrum disorders (n = 1,217; 65.0 years) showed earlier initial MMSE scores (by 6.1 years, 95% CI = 5.2–7.0), earlier dementia diagnoses (by 2.3 years, 95% CI = 0.9–3.7) but lower dementia risk (adjusted HR = 0.81; 95% CI = 0.69–0.95). Cognitive decline rates and dementia subtype diagnoses did not differ between affective and schizophrenia spectrum disorders, but it took longer for schizophrenia spectrum disorder patients to receive a dementia diagnosis (5.6 vs. 4.4 years). Anti-dementia medication was less likely to be prescribed in patients with schizophrenia versus depression.

Cognitive concerns in older individuals with schizophrenia spectrum disorders arise from around 63 years and are associated with earlier dementia risk versus older individuals with affective disorders. Findings emphasize the importance of targeted dementia prevention and treatment strategies in these individuals and the need to reduce the existing inequity of access to dementia services.

The trajectory of Mild Cognitive Impairment (MCI) to dementia within primary care is not well understood.

We investigated the 5-year trajectory of patients initially diagnosed with MCI, evaluated their risk of developing dementia considering age, sex, and Montreal Cognitive Assessment (MoCA) test scores and determined the annual conversion rate from MCI to dementia for patients assessed in a MINT (Multispecialty Interprofessional Team) memory clinic.

We conducted a longitudinal cohort study using a retrospective chart review of 751 patients assessed within a MINT memory clinic in Ontario, Canada. The conversion rate from MCI to dementia was estimated with the Kaplan-Meier method. Cox regression examined time to dementia diagnosis and the association between baseline MoCA scores and dementia risk.

The observed 5-year conversion rate from MCI to dementia was 28.0%, though with limited follow-up data. Accounting for missing data, the estimated 5-year conversion rate was 48.8% (39.5%, 59.2%) with an average annual rate of 9.8%. Each one-point increase in MoCA score at initial visit was associated with a 10% lower rate of conversion to dementia (aHR: 0.90, 95%CI: 0.85-0.96).

Findings highlight the profile of patients assessed in MINT clinics, cognitive trajectory of those diagnosed with MCI, and the importance of primary care-based memory clinics in early detection and intervention.

Cognitive intra-individual variability (IIV) is a neuropsychological marker reflecting divergent performance across cognitive domains. In this brief communication, we examined whether clinical severity, apolipoprotein E (APOE) ε4 carriers, and higher polygenic risk were associated with higher cognitive IIV, and whether higher polygenic risk and cognitive IIV synergistically influence clinical severity.

This large study involved up to 24,248 participants (mean age = 72) from the National Alzheimer’s Coordinating Center (NACC) and multiple regression controlling for age, sex, and education was used to analyze the data.

We found that disease severity (B = 0.055, SE = 0.001, P < 0.001), APOE ε4 carriers (B = 0.02, SE = 0.003, P < 0.001), and higher polygenic risk (B = 0.02, SE = 0.004, P < 0.001) were associated with higher cognitive IIV. Polygenic risk and cognitive IIV also interacted to influence clinical severity, beyond APOE ε4 (B = 0.11, SE = 0.05, P = 0.02), such that individuals with high polygenic risk and cognitive IIV had the greatest clinical severity.

Heightened polygenic risk and increased cross-domain cognitive variation are implicated in dementia and may impact clinical decline in tandem.

To examine the knowledge, experience and attitudes of nurses working in nursing homes in relation to the administration of antipsychotic medications to individuals diagnosed with behavioural and psychological symptoms of dementia (BPSD).

Questionnaires comprising 17 questions were distributed to 120 nurses working in nursing homes to evaluate their knowledge of and attitudes to the utilisation of antipsychotic medication for BPSD.

Of the 70 nurses who completed the study questionnaire, 68 (97.1%) were confident with their knowledge of managing BPSD symptoms in dementia patients; 49 (70.0%) stated that antipsychotic medications were associated with a noticeable improvement in BPSD symptoms (n = 49, 70.0%) and were mostly commenced at an appropriate stage of the patients illness (n = 47, 67.1%). Music therapy was the most commonly noted (58.6% of nurses) utilised alternative therapy, although only 46% nursing staff reported that there were sufficient alternative therapies available. Qualitative themes of note included the importance of communication between nursing staff, health professionals and family members and an ongoing requirement for training nursing staff regarding antipsychotic prescribing and dispensing in BPSD.

Nurses working in nursing homes demonstrated confidence in their knowledge of treatment strategies in managing BPSD in dementia patients. However, concerns were expressed regarding the limited availability of non-pharmacological interventions.

The use of artificial intelligence (AI) in psychiatry holds promise for diagnosis, therapy, and the categorization of mental disorders. At the same time, it raises significant theoretical and ethical concerns. The debate appears polarized, with proponents and critics seemingly irreconcilably opposed. On the one hand, AI is heralded as a transformative force poised to revolutionize psychiatric research and practice. On the other hand, it is depicted as a harbinger of dehumanization. To better understand this dichotomy, it is essential to identify and critically examine the underlying arguments. To what extent does the use of AI challenge the theoretical assumptions of psychiatric diagnostics? What implications does it have for patient care, and how does it influence the professional self-concept of psychiatrists?

To explore these questions, we conducted 15 semi-structured interviews with experts from psychiatry, computer science, and philosophy. The findings were analyzed using a structuring qualitative content analysis.

The analysis focuses on the significance of AI for psychiatric diagnosis and care, as well as on its implications for the identity of psychiatry. We identified different lines of argument suggesting that expert views on AI in psychiatry hinge on the types of data considered relevant and on whether core human capacities in diagnosis and treatment are viewed as replicable by AI.

The results provide a mapping of diverse perspectives, offering a basis for more detailed analysis of theoretical and ethical issues of AI in psychiatry, as well as for the adaptation of psychiatric education.

Group cognitive stimulation therapy (CST) has been shown to improve cognition and quality of life of people with dementia in multiple trials, but there has been scant research involving people with intellectual disability and dementia. This study aimed to assess the feasibility of conducting a randomised controlled trial of group CST for this population.

To assess the feasibility of participant recruitment and retention, the appropriateness of outcome measures, and the feasibility of group CST (adherence, fidelity, acceptability), as well as the feasibility of collecting data for an economic evaluation.

Participants were recruited from six National Health Service trusts in England and randomised to group CST plus treatment as usual (TAU) or TAU only. Cognition, quality of life, depression, and use of health and social care services were measured at baseline and at 8–9 weeks. Qualitative interviews with participants, carers and facilitators were used to explore facilitators of and barriers to delivery of CST. Trial registration number: ISRCTN88614460.

We obtained consent from 46 participants, and 34 (73.9%) were randomised: 18 to CST and 16 to TAU. All randomised participants completed follow-up. Completion rates of outcome measures (including health economic measures) were adequate; 75.7% of sessions were delivered, and 56% of participants attended ten or more. Fidelity of delivery was of moderate quality. CST was acceptable to all stakeholders; barriers included travel distance, carer availability and sessions needing further adaptations. The estimated cost per participant of delivering CST was £602.

There were multiple challenges including recruitment issues, a large dropout rate before randomisation and practical issues affecting attendance. These issues would need to be addressed before conducting a larger trial.

Idiopathic normal pressure hydrocephalus (iNPH) is characterized by gait disturbances, cognitive impairment and urinary dysfunction. Early diagnosis is essential to ensure timely shunt treatment. However, patient identification remains challenging due to limited studies, mostly from Asia and Europe, which restrict generalizability to other geographic areas. Moreover, demographic factors (age, sex, education) influence cognitive and gait performance in other neurological conditions, but their impact on iNPH remains unclear. This study aimed to characterize the demographic, vascular, cognitive and gait profiles of iNPH patients in Eastern Quebec (Canada) and determine how demographic factors influence performance outcomes.

A retrospective chart review was conducted on 175 patients diagnosed with probable iNPH at a specialized neurology center in Eastern Quebec. Demographic data, vascular risk factors and cognitive and gait outcomes were extracted from medical records. Descriptive statistics were used to characterize the sample, and multiple linear regressions assessed the effect of demographic factors on performance outcomes.

The cohort had a mean age of 73.9 years and a mean education level of 11.9 years. Age and education significantly predicted over half of the cognitive test results, while age was the only significant predictor of gait. Hypertension (58%) and hyperlipidemia (47%) were more prevalent than diabetes (26%), differing from previous studies where diabetes was the second most reported vascular risk factor after hypertension.

Clinical heterogeneity characterizes iNPH patients in Eastern Quebec. Differences in the prevalence of vascular risk factors compared to previous studies may reflect geographic variability in the clinical presentation of this condition.