Cardiovascular disease in older people with serious mental illness: Current challenges and future directions

open access articleBy 2050, it is projected that the population of over 60 years old will reach 2.1 billion, from 900 million in 2015 . A total of 20% of this cohort have a neurological or mental health disorder, which is expected to rise in line with these changing population demographics. Anxiety, substance abuse disorders, schizophrenia and bipolar disorder are also seen commonly in older people. Serious mental illness (SMI) is a term used to group several common psychiatric disorders (schizophrenia, bipolar affective disorder and major depressive disorder) which significantly affect functional abilities. While the mortality gap remains significant between people living with SMI and the general population, older people with SMI are routinely cared for by old age psychiatrists and have distinct challenges from the younger SMI population. These challenges include greater frailty, high levels of physical health morbidity, polypharmacy, and greater levels of cognitive and functional impairments. A recent study found that 17.5% of 65–84 year olds have both a physical and mental health condition, rising to 30% of over 85 year olds . There is a substantial interplay between physical and mental health and people with SMI have a 10–20 year reduction in life expectancy compared to those without

Comparing international dementia research priorities—Systematic review

Objectives: Research priority setting aims to collate stakeholder opinion to determine the most pressing research questions. Priority setting exercises influence decisions around research funding, development and policy. We compared published dementia research priority setting exercises from international healthcare systems. Methods: Four multidisciplinary, international, electronic databases were searched for relevant studies (2010 until 2021). Priorities were extracted, coded and assigned to categories using thematic analysis. The Nine Common Themes of Good Practice (9CTGP) and the Reporting guideline for priority setting of health research (REPRISE) checklists were used to assess methodological and reporting quality respectively. Results: From 265 titles, 10 priority setting exercises (1179 participants, 147 priorities) were included. Studies spanned four continents and the majority included people living with dementia and their care-givers in the priority setting process (68%). Only one paper met all the best practice indicators. Issues around inclusiveness, implementation and evaluation of the priorities were apparent in nine papers. We categorised priorities under eight themes: caregivers (25%, n = 37), support (24%, n = 35), awareness and education (16%, n = 24), drugs and interventions (14%, n = 21), diagnosis (8%, n = 12), pathology (6%, n = 9), research design (5%, n = 7), and prevention (1%, n = 2). Priorities varied by geographical region, with awareness and education of higher priority in low-middle income countries, compared to caregivers and support in high income countries. Conclusions: Key priorities were identified with some commonality around themes considered of greatest importance. There is scope to improve the process and reporting of priority setting. Priorities differed according to contextual factors and so, priorities specific to one healthcare setting may not be applicable to others

Relationship between race and outcome in Asian, Black and Caucasian patients with spontaneous intracerebral haemorrhage: data from the Virtual International Stroke Trials Archive (VISTA) and Efficacy of Nitric Oxide in Stroke trial (ENOS)

Background and purpose: Although poor prognosis after intracerebral haemorrhage relates to risk factors and haematoma characteristics, there is limited evidence for the effect of race-ethnicity. Methods: Data from 1011 patients with intracerebral haemorrhage enrolled into hyperacute trials and randomised to control were obtained from the Virtual International Stroke Trials Archive (VISTA) and Efficacy of Nitric Oxide in Stroke (ENOS) Trial. Clinical characteristics and functional outcome were compared among three racial groups – Asians, Blacks and Caucasians. Results: The majority of patients were Caucasian (78.1%) followed by Asians (14.5%) and Blacks (5.5%). At baseline, Caucasians were older and had larger haematoma volumes; Blacks had lower Glasgow Coma Scale and higher systolic blood pressure (all p<0.05). Although the primary outcome of modified Rankin scale (mRS) did not differ at 90 days (p=0.14), there were significant differences in mortality (p<0.0001) and quality of life (EQ-5D p<0.0001; EQ-VAS p 0.015). In test of multiple comparisons, Caucasians were more likely to die (p=0.0003) and had worse quality of life (EQ-5D p=0.003; EQ-VAS p<0.0001) as compared to Asians. Conclusion: Race-ethnicity appears to explain some of the variation in clinical characteristics and outcomes after acute intracerebral haemorrhage. Factors that explain this variation need to be identified

Three-dimensional simulations of embolic stroke and an equation for sizing emboli from imaging

Stroke simulations are needed to run in-silico trials, develop hypotheses for clinical studies and to interpret ultrasound monitoring and radiological imaging. We describe proof-of-concept three-dimensional stroke simulations, carrying out in silico trials to relate lesion volume to embolus diameter and calculate probabilistic lesion overlap maps, building on our previous Monte Carlo method. Simulated emboli were released into an in silico vasculature to simulate 1000 s of strokes. Infarct volume distributions and probabilistic lesion overlap maps were determined. Computer-generated lesions were assessed by clinicians and compared with radiological images. The key result of this study is development of a three-dimensional simulation for embolic stroke and its application to an in silico clinical trial. Probabilistic lesion overlap maps showed that the lesions from small emboli are homogeneously distributed throughout the cerebral vasculature. Mid-sized emboli were preferentially found in posterior cerebral artery (PCA) and posterior region of the middle cerebral artery (MCA) territories. For large emboli, MCA, PCA and anterior cerebral artery (ACA) lesions were comparable to clinical observations, with MCA, PCA then ACA territories identified as the most to least probable regions for lesions to occur. A power law relationship between lesion volume and embolus diameter was found. In conclusion, this article showed proof-of-concept for large in silico trials of embolic stroke including 3D information, identifying that embolus diameter could be determined from infarct volume and that embolus size is critically important to the resting place of emboli. We anticipate this work will form the basis of clinical applications including intraoperative monitoring, determining stroke origins, and in silico trials for complex situations such as multiple embolisation

Determinants of the dynamic cerebral critical closing pressure response to changes in mean arterial pressure

Objective. Cerebral critical closing pressure (CrCP) represents the value of arterial blood pressure (BP) where cerebral blood flow (CBF) becomes zero. Its dynamic response to a step change in mean BP (MAP) has been shown to reflect CBF autoregulation, but robust methods for its estimation are lacking. We aim to improve the quality of estimates of the CrCP dynamic response. Approach. Retrospective analysis of 437 healthy subjects (aged 18–87 years, 218 males) baseline recordings with measurements of cerebral blood velocity in the middle cerebral artery (MCAv, transcranial Doppler), non-invasive arterial BP (Finometer) and end-tidal CO2 (EtCO2, capnography). For each cardiac cycle CrCP was estimated from the instantaneous MCAv-BP relationship. Transfer function analysis of the MAP and MCAv (MAP-MCAv) and CrCP (MAP-CrCP) allowed estimation of the corresponding step responses (SR) to changes in MAP, with the output in MCAv (SRVMCAv) representing the autoregulation index (ARI), ranging from 0 to 9. Four main parameters were considered as potential determinants of the SRVCrCP temporal pattern, including the coherence function, MAP spectral power and the reconstruction error for SRVMAP, from the other three separate SRs. Main results. The reconstruction error for SRVMAP was the main determinant of SRVCrCP signal quality, by removing the largest number of outliers (Grubbs test) compared to the other three parameters. SRVCrCP showed highly significant (p < 0.001) changes with time, but its amplitude or temporal pattern was not influenced by sex or age. The main physiological determinants of SRVCrCP were the ARI and the mean CrCP for the entire 5 min baseline period. The early phase (2–3 s) of SRVCrCP response was influenced by heart rate whereas the late phase (10–14 s) was influenced by diastolic BP. Significance. These results should allow better planning and quality of future research and clinical trials of novel metrics of CBF regulation

Relationship between nitrate headache and outcome in patients with acute stroke: results from the efficacy of nitric oxide in stroke (ENOS) trial

IntroductionNitrate-induced headache is common and may signify responsive cerebral vasculature. We assessed the relationship between nitrate-headache and outcome in patients with acute stroke.Materials and MethodsPatients were those randomised to glyceryl trinitrate (GTN) versus no GTN in the Efficacy of Nitric Oxide in Stroke trial. Development of headache by end of treatment (day 7), and functional outcome (modified Rankin Scale, mRS, primary outcome) at day 90, were assessed. Analyses are adjusted for baseline prognostic factors and give odds ratio (OR) and mean difference (MD) with 95% confidence intervals (95% CI).ResultsIn 4011 patients, headache was more common in GTN than control (360, 18.0% vs. 170, 8.5%; 2

Plasma and cerebrospinal fluid ABeta42 for the differential diagnosis of Alzheimer's disease dementia in participants diagnosed with any dementia subtype in a specialist care setting

BackgroundDementia is a syndrome that comprises many differing pathologies, including Alzheimer's disease dementia (ADD), vascular dementia (VaD) and frontotemporal dementia (FTD). People may benefit from knowing the type of dementia they live with, as this could inform prognosis and may allow for tailored treatment. Beta-amyloid (1-42) (ABeta42) is a protein which decreases in both the plasma and cerebrospinal fluid (CSF) of people living with ADD, when compared to people with no dementia. However, it is not clear if changes in ABeta42 are specific to ADD or if they are also seen in other types of dementia. It is possible that ABeta42 could help differentiate ADD from other dementia subtypes.ObjectivesTo determine the accuracy of plasma and CSF ABeta42 for distinguishing ADD from other dementia subtypes in people who meet the criteria for a dementia syndrome.Search methodsWe searched MEDLINE, and nine other databases up to 18 February 2020. We checked reference lists of any relevant systematic reviews to identify additional studies.Selection criteriaWe considered cross-sectional studies that differentiated people with ADD from other dementia subtypes. Eligible studies required measurement of participant plasma or CSF ABeta42 levels and clinical assessment for dementia subtype.Data collection and analysisSeven review authors working independently screened the titles and abstracts generated by the searches. We collected data on study characteristics and test accuracy. We used the second version of the 'Quality Assessment of Diagnostic Accuracy Studies' (QUADAS-2) tool to assess internal and external validity of results. We extracted data into 2 x 2 tables, cross-tabulating index test results (ABeta42) with the reference standard (diagnostic criteria for each dementia subtype). We performed meta-analyses using bivariate, random-effects models. We calculated pooled estimates of sensitivity, specificity, positive predictive values, positive and negative likelihood ratios, and corresponding 95% confidence intervals (CIs). In the primary analysis, we assessed accuracy of plasma or CSF ABeta42 for distinguishing ADD from other mixed dementia types (non-ADD). We then assessed accuracy of ABeta42 for differentiating ADD from specific dementia types: VaD, FTD, dementia with Lewy bodies (DLB), alcohol-related cognitive disorder (ARCD), Creutzfeldt-Jakob disease (CJD) and normal pressure hydrocephalus (NPH). To determine test-positive cases, we used the ABeta42 thresholds employed in the respective primary studies. We then performed sensitivity analyses restricted to those studies that used common thresholds for ABeta42.Main resultsWe identified 39 studies (5000 participants) that used CSF ABeta42 levels to differentiate ADD from other subtypes of dementia. No studies of plasma ABeta42 met the inclusion criteria. No studies were rated as low risk of bias across all QUADAS-2 domains. High risk of bias was found predominantly in the domains of patient selection (28 studies) and index test (25 studies). The pooled estimates for differentiating ADD from other dementia subtypes were as follows: ADD from non-ADD: sensitivity 79% (95% CI 0.73 to 0.85), specificity 60% (95% CI 0.52 to 0.67), 13 studies, 1704 participants, 880 participants with ADD; ADD from VaD: sensitivity 79% (95% CI 0.75 to 0.83), specificity 69% (95% CI 0.55 to 0.81), 11 studies, 1151 participants, 941 participants with ADD; ADD from FTD: sensitivity 85% (95% CI 0.79 to 0.89), specificity 72% (95% CI 0.55 to 0.84), 17 studies, 1948 participants, 1371 participants with ADD; ADD from DLB: sensitivity 76% (95% CI 0.69 to 0.82), specificity 67% (95% CI 0.52 to 0.79), nine studies, 1929 participants, 1521 participants with ADD. Across all dementia subtypes, sensitivity was greater than specificity, and the balance of sensitivity and specificity was dependent on the threshold used to define test positivity.Authors' conclusionsOur review indicates that measuring ABeta42 levels in CSF may help differentiate ADD from other dementia subtypes, but the test is imperfect and tends to misdiagnose those with non-ADD as having ADD. We would caution against the use of CSF ABeta42 alone for dementia classification. However, ABeta42 may have value as an adjunct to a full clinical assessment, to aid dementia diagnosis

Age and frailty are independently associated with increased COVID-19 mortality and increased care needs in survivors: results of an international multi-centre study

Introduction: Increased mortality has been demonstrated in older adults with COVID-19, but the effect of frailty has been unclear. Methods: This multi-centre cohort study involved patients aged 18 years and older hospitalised with COVID-19, using routinely collected data. We used Cox regression analysis to assess the impact of age, frailty, and delirium on the risk of inpatient mortality, adjusting for sex, illness severity, inflammation, and co-morbidities. We used ordinal logistic regression analysis to assess the impact of age, Clinical Frailty Scale (CFS), and delirium on risk of increased care requirements on discharge, adjusting for the same variables. Results: Data from 5,711 patients from 55 hospitals in 12 countries were included (median age 74, IQR 54–83; 55.2% male). The risk of death increased independently with increasing age (&gt;80 vs 18–49: HR 3.57, CI 2.54–5.02), frailty (CFS 8 vs 1–3: HR 3.03, CI 2.29–4.00) inflammation, renal disease, cardiovascular disease, and cancer, but not delirium. Age, frailty (CFS 7 vs 1–3: OR 7.00, CI 5.27–9.32), delirium, dementia, and mental health diagnoses were all associated with increased risk of higher care needs on discharge. The likelihood of adverse outcomes increased across all grades of CFS from 4 to 9. Conclusions: Age and frailty are independently associated with adverse outcomes in COVID-19. Risk of increased care needs was also increased in survivors of COVID-19 with frailty or older age

Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

SummaryBackground Azithromycin has been proposed as a treatment for COVID-19 on the basis of its immunomodulatoryactions. We aimed to evaluate the safety and efficacy of azithromycin in patients admitted to hospital with COVID-19.Methods In this randomised, controlled, open-label, adaptive platform trial (Randomised Evaluation of COVID-19Therapy [RECOVERY]), several possible treatments were compared with usual care in patients admitted to hospitalwith COVID-19 in the UK. The trial is underway at 176 hospitals in the UK. Eligible and consenting patients wererandomly allocated to either usual standard of care alone or usual standard of care plus azithromycin 500 mg once perday by mouth or intravenously for 10 days or until discharge (or allocation to one of the other RECOVERY treatmentgroups). Patients were assigned via web-based simple (unstratified) randomisation with allocation concealment andwere twice as likely to be randomly assigned to usual care than to any of the active treatment groups. Participants andlocal study staff were not masked to the allocated treatment, but all others involved in the trial were masked to theoutcome data during the trial. The primary outcome was 28-day all-cause mortality, assessed in the intention-to-treatpopulation. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936.Findings Between April 7 and Nov 27, 2020, of 16 442 patients enrolled in the RECOVERY trial, 9433 (57%) wereeligible and 7763 were included in the assessment of azithromycin. The mean age of these study participants was65·3 years (SD 15·7) and approximately a third were women (2944 [38%] of 7763). 2582 patients were randomlyallocated to receive azithromycin and 5181 patients were randomly allocated to usual care alone. Overall,561 (22%) patients allocated to azithromycin and 1162 (22%) patients allocated to usual care died within 28 days(rate ratio 0·97, 95% CI 0·87–1·07; p=0·50). No significant difference was seen in duration of hospital stay (median10 days [IQR 5 to >28] vs 11 days [5 to >28]) or the proportion of patients discharged from hospital alive within 28 days(rate ratio 1·04, 95% CI 0·98–1·10; p=0·19). Among those not on invasive mechanical ventilation at baseline, nosignificant difference was seen in the proportion meeting the composite endpoint of invasive mechanical ventilationor death (risk ratio 0·95, 95% CI 0·87–1·03; p=0·24).Interpretation In patients admitted to hospital with COVID-19, azithromycin did not improve survival or otherprespecified clinical outcomes. Azithromycin use in patients admitted to hospital with COVID-19 should be restrictedto patients in whom there is a clear antimicrobial indication