Psychostimulants and nonstimulants have partially overlapping pharmacological targets on attention-deficit/hyperactivity disorder (ADHD), but whether their neuroimaging underpinnings differ is elusive. We aimed to identify overlapping and medication-specific brain functional mechanisms of psychostimulants and nonstimulants on ADHD.

After a systematic literature search and database construction, the imputed maps of separate and pooled neuropharmacological mechanisms were meta-analyzed by Seed-based d Mapping toolbox, followed by large-scale network analysis to uncover potential coactivation patterns and meta-regression analysis to examine the modulatory effects of age and sex.

Twenty-eight whole-brain task-based functional MRI studies (396 cases in the medication group and 459 cases in the control group) were included. Possible normalization effects of stimulant and nonstimulant administration converged on increased activation patterns of the left supplementary motor area (Z = 1.21, p < 0.0001, central executive network). Stimulants, relative to nonstimulants, increased brain activations in the left amygdala (Z = 1.30, p = 0.0006), middle cingulate gyrus (Z = 1.22, p = 0.0008), and superior frontal gyrus (Z = 1.27, p = 0.0006), which are within the ventral attention network. Neurodevelopmental trajectories emerged in activation patterns of the right supplementary motor area and left amygdala, with the left amygdala also presenting a sex-related difference.

Convergence in the left supplementary motor area may delineate novel therapeutic targets for effective interventions, and distinct neural substrates could account for different therapeutic responses to stimulants and nonstimulants.

Race/ethnicity and sleep disturbances are associated with dementia risk.

To explore racial–ethnic disparities in sleep disturbances, and whether race/ethnicity moderates the relationship between sleep disturbances and dementia risk among older adults.

We analysed ten annual waves (2011–2020) of prospective cohort data from the National Health and Aging Trends Study, a nationally representative USA sample of 6284 non-Hispanic White (n = 4394), non-Hispanic Black (n = 1311), Hispanic (n = 342) and non-Hispanic Asian (n = 108) community-dwelling older adults. Sleep disturbances were converted into three longitudinal measures: (a) sleep-initiation difficulty (trouble falling asleep within 30 min), (b) sleep-maintenance difficulty (trouble falling asleep after waking up early) and (c) sleep medication usage (taking medication to sleep). Cox proportional hazards models analysed time to dementia, after applying sampling weights and adjusting for sociodemographic characteristics and health.

Black, Hispanic and Asian respondents exhibited higher frequencies of sleep-initiation and sleep-maintenance difficulties, but had less sleep medication usage, compared with White older adults. Among Hispanic respondents, sleep-initiation difficulty was associated with significantly decreased dementia risk (adjusted hazard ratio (aHR) = 0.34, 95% CI 0.15–0.76), but sleep-maintenance difficulty was associated with increased dementia risk (aHR = 2.68, 95% CI 1.17–6.13), compared with White respondents. Asian respondents using sleep medications had a significantly higher dementia risk (aHR = 3.85, 95% CI 1.64–9.04). There were no significant interactions for Black respondents.

Sleep disturbances are more frequent among older Black, Hispanic and Asian adults, and should be considered when addressing dementia disparities. Research is needed to explore how certain sleep disturbances may elevate dementia risk across different racial and ethnic subgroups.

To explore the views of general practitioners (GPs) and nurses on type 2 diabetes (T2D) management, including the use of recently funded T2D medications in New Zealand (NZ) and their perceived barriers to providing optimal care.

T2D is a significant health concern in NZ, particularly among Māori and Pacific adults. Characterised by prolonged hyperglycaemia, T2D is generally a progressive condition requiring long-term care.

Semi-structured interviews were conducted between July and December 2022 with 21 primary care clinicians (10 GPs and 11 nurses/nurse prescribers) from nine different general practice clinics across the Auckland and Waikato regions of NZ. Framework analysis was conducted to identify common themes in clinicians’ perceptions and experiences with T2D management.

Three themes were identified: health-system factors, new medications, and solution-based approaches. Lack of clinician time, healthcare funding, staff shortages, and burn-out were identified as barriers to T2D management under health-system factors. The two newly funded medications, empagliflozin and dulaglutide, were deemed to be a positive change for T2D care in that they improved patient satisfaction and clinical outcomes, but several clinicians were hesitant to prescribe these medications. Participants suggested that additional education and specialist diabetes support would be helpful to inform optimal medication prescribing and that better use of a multi-disciplinary team (clinical and support staff) could support T2D care by reducing workload, addressing cultural gaps in healthcare delivery, and reducing burnout. An improved primary care work environment, including appropriate professional development to support prescribing of new medications and the value of collaboration with a non-regulated workforce, may be required to facilitate optimal T2D management in primary care. Future research should focus on interventions to increase support for both clinical teams and patients while adopting a culturally appropriate approach to increase patient satisfaction and improve health outcomes.

To quantify the proportion of referrals sent to Crumlin Cardiology Department for cardiac screening prior to commencement or modifying attention deficit hyperactivity disorder medication and assess the number detected with a clinically significant abnormality.

A prospective audit was performed over a 6-month period, from November 2021 to April 2022 inclusive. Referrals sent via outpatient department triage letters, electrocardiogram dept. email, and walk-in electrocardiogram service were screened for those pertaining to commencing or modifying medication for children with attention deficit hyperactivity disorder. Each referral was coded against National Institute for Health and Care Excellence guidelines to determine the degree of clinical details given. Reported abnormalities, recommended management, and correspondence were recorded.

Ninety-one referrals were received during the 6-month audit period. More than half lacked a clinical indication for referral (53/91, 58.2%), with fewer than one third (26/91, 28.5%) meeting National Institute for Health and Care Excellence criteria for referral for cardiology. Eighty (80/91) referrals had clinical outcomes available for review (missing outpatient department information and age outside of service range accounted for eleven referrals with unavailable clinical outcomes). Of the eighty clinically reviewed referrals, seventy-two (72/80, 90%) were reported as normal with no cardiology follow up required. Eight referrals (8/80, 10%) were reviewed in the Cardiology Outpatient Department prior to commencement or modifying attention deficit hyperactivity disorder medication. Of these, only one (1/80 1%) had a clinically significant abnormality which was a potential contraindication to attention deficit hyperactivity disorder medication use, and this referral was appropriate as per National Institute for Health and Care Excellence guidelines.

Routine screening prior to attention deficit hyperactivity disorder medication prescription in the absence of clinical indications (as per National Institute for Health and Care Excellence) contributed to delays in medication initiation among young people with attention deficit hyperactivity disorder. Unnecessary referrals have resource implications for cardiology clinical team. Improved adherence to National Institute for Health and Care Excellence guidelines would provide benefits for patients and clinicians.

Adverse effects are a common concern when prescribing and reviewing medication, particularly in vulnerable adults such as older people and those with intellectual disability. This paper describes the development of an app giving information on side-effects, called Medichec, and provides a description of the processes involved in its development and how drugs were rated for each side-effect. Medications with central anticholinergic action, dizziness, drowsiness, hyponatraemia, QTc prolongation, bleeding and constipation were identified using the British National Formulary (BNF) and frequency of occurrence of these effects was determined using the BNF, product information and electronic searches, including PubMed.

Medications were rated using a traffic light system according to how commonly the adverse effect was known to occur or the severity of the effect.

Medichec can facilitate access to side-effects information for multiple medications, aid clinical decision-making, optimise treatment and improve patient safety in vulnerable adults.

Autonomic nervous system (ANS) dysregulation might be relevant to the pathophysiology of fatigue and cognitive impairment in depression and perhaps should be considered when making prescribing decisions.

To determine the relationship of self-reported ANS symptoms with fatigue, cognition and prescribed medication in people with a diagnosis of depression, in comparators without depression but with other mental health, neurodevelopmental or neurodegenerative disorders (active controls) and in healthy controls.

Cross-sectional analysis of an opportunistic sample from England. Self-reported data were collected on demographics, diagnosis, medication, ANS symptoms (Composite Autonomic Symptom Scale-31, COMPASS-31) and fatigue (Visual Analogue Scale for Fatigue, VAS-F). A subsample completed cognitive tests (THINC-it), including the subjective Perceived Deficits Questionnaire five-item version (PDQ-5). Spearman's correlation and mediation models were used to explore the relationship between COMPASS-31, VAS-F and PDQ-5 scores.

Data were obtained for 3345 participants, 22% with depression. The depression group had significantly (P < 0.01) more severe autonomic dysregulation as measured by COMPASS-31 scores (median 30) than active (median 23) and healthy controls (median 10). The depression group had significantly higher symptom severity (P < 0.01) than both control groups on the VAS-F and PDQ-5. Overall, there was a significantly positive correlation (P < 0.01) between COMPASS-31, VAS-F scores (Spearman's rho rs = 0.44) and PDQ-5 scores (rs = 0.56). COMPASS-31 scores mediated greater symptom severity on the VAS-F and PDQ-5 for those with depression. COMPASS-31 scores remained significantly different between the depression group and both control groups independently of medication.

People with a diagnosis of depression report worse fatigue and cognition than active and healthy comparators; this appears to be mediated by ANS dysregulation.