Screening For Cognitive Impairment Research Articles

Predictive factors of cognitive impairment in alcohol use disorder inpatients.

Cognitive impairments are common in patients with AUD and worsen the prognosis of addiction management. There are no clear guidelines for screening cognitive impairments in hospitalized patients with AUD. Fifty-seven patients with an AUD history who were admitted to an acute hospital and assessed by the addiction care team were included. Those patients were screened for cognitive impairments using the Montreal Cognitive Assessment (MoCA) test. We collected clinical information regarding addiction history, comorbidities, and current treatments. Chi-square tests, t-tests, and Mann-Whitney tests were performed to determine factors associated with a pathological MoCA score (<26). A pathological MoCA score was positively associated with spatial-temporal disorientation, difficulty in recalling addiction history, patient underreporting of AUD and a date of last alcohol consumption lower than 11days ago, and negatively associated with a reason for hospitalization due to alcohol-related health issues. No medication was associated with cognitive impairments. Clinical elements from assessment by the addiction care team allow for relevant indication for screening cognitive impairments.

The screening of cognitive impairment in the emergency department: A valuable clinical and epidemiological goal

The screening of cognitive impairment in the emergency department: A valuable clinical and epidemiological goal

Adaptation and Validation of the Psychological Consequences of Screening Questionnaire (PCQ) for Cognitive Screening in Primary Care.

Context-specific measures with adequate external validity are needed to appropriately determine psychosocial effects related to screening for cognitive impairment. Two-hundred adults aged ≥65 y recently completing routine, standardized cognitive screening as part of their Medicare annual wellness visit were administered an adapted version of the Psychological Consequences of Screening Questionnaire (PCQ), composed of negative (PCQ-Neg) and positive (PCQ-Pos) scales. Measure distribution, acceptability, internal consistency, factor structure, and external validity (construct, discriminative, criterion) were analyzed. Participants had a mean age of 73.3 y and were primarily female and socioeconomically advantaged. Most had a normal cognitive screening result (99.5%, n = 199). Overall PCQ scores were low (PCQ-Neg: = 1.27, possible range 0-36; PCQ-Pos: = 7.63, possible range 0-30). Both scales demonstrated floor effects. Acceptability was satisfactory, although the PCQ-Pos had slightly more item missingness. Both scales had Cronbach alphas >0.80 and a single-factor structure. Spearman correlations between the PCQ-Neg with general measures of psychological distress (Impacts of Events Scale-Revised, Perceived Stress Scale, Kessler Distress Scale) ranged from 0.26 to 0.37 (P's < 0.001); the correlation with the World Health Organization-Five Well-Being Index was -0.19 (P < 0.01). The PCQ-Neg discriminated between those with and without a self-reported subjective cognitive complaint ( = 2.73 v. 0.89, P < 0.001) and was associated with medical visit satisfaction (r = -0.24, P < 0.001) on the Patient Satisfaction Questionnaire. The PCQ-Pos predicted self-reported willingness to engage in future screening ( = 8.00 v. 3.00, P = 0.03). The adapted PCQ-Neg is an overall valid measure of negative psychological consequences of cognitive screening; findings for the PCQ-Pos were more variable. Future studies should address measure performance among diverse samples and those with abnormal screening results. The PCQ scale is an overall valid measure of psychological dysfunction related to cognitive screening in older adults receiving normal screen results.PCQ scale performance should be further validated in diverse populations and those with abnormal cognitive screening results.The adapted PCQ may be useful to both health research and policy stakeholders seeking improved assessment of psychological impacts of cognitive screening.

B - 86 Neurobehavioral Examination Total Memory Score as a Screener for Cognitive Impairment Diagnosis

Abstract Objective The neurobehavioral exam (NBE) quickly assesses patient’s neurological and behavioral status. This study aims to determine whether an individual’s NBE memory subtest is an effective screening tool for predicting cognitive diagnosis following a comprehensive neuropsychological evaluation. Method Data was collected from a clinical population of 173 adults (&amp;lt; 60 years old). Each patient was administered the NBE before comprehensive neuropsychological testing. The Total Memory Free Recall (TMFR) score was compared to the final cognitive diagnosis. Descriptive statistics, linear regression, and receiver operating characteristic (ROC) curve analysis were conducted with IBM SPSS. Results Linear regression indicates that the TMFR accounts for 26.1% of the variance in the cognitive diagnosis (F (1, 171) = 60.29, p = &amp;lt;0.001, adjusted R2 = 0.26). Area under the curve (AUC) indicated good discriminative ability for screening patients with and without cognitive impairment based on their total memory recall score (AUC = 0.83). A TMFR raw score of &amp;lt;6 was determined as the optimal cutoff point for screening cognitive impairment yielding a sensitivity of 0.96 and a specificity of 0.62. Conclusion(s) The analyses completed indicate that TMFR on the NBE is predictive of cognitive diagnosis following comprehensive neuropsychological testing. Total memory recall raw score can be used as a screening measure for identifying cognitive impairment and making appropriate referral for comprehensive neuropsychological assessment.

Educational media utilization for rehabilitation among community-dwelling stroke survivors and their caregivers: a pilot study

Background: Recently, there has been an increasing number of stroke patients. Those who survive still need continuous rehabilitation after being discharged from the hospital. The information and knowledge on stroke rehabilitation at home is crucial for these patients and their caregivers. However, there has never been a study of educational media on rehabilitation for those patients and their caregivers in Thailand. Objective: To explore the educational media used in stroke rehabilitation, list their benefits, and the most satisfying media type for stroke participants and their caregivers after hospital discharge. Materials and methods: Twenty-eight stroke patients and twenty-one primary caregivers from two Subdistrict Municipalities and two Districts in Chaing Mai province were recruited using purposive sampling methods. All participants were aged 18 years and over and could communicate in Thai. All the stroke participants had no cognitive impairment screening by the Mental Status Examination-10 (MSET-10) and had self-rehabilitation therapy at home. A Questionnaire on the use of educational media in stroke rehabilitation with the index of item objective congruence (IOC) range between 0.67-1.00 was used for data collection. The statistics used were descriptive. Results: Stroke patients used information obtained primarily from medical personnel in the community (78.57%), while caregivers used advice from medical personnel the most in the hospitals (57.14%). Regarding the highest satisfaction with educational media, 59% of stroke patients and 42% of caregivers were satisfied with advice from medical personnel in the community. Stroke patients revealed that using a combination of advice from medical professionals, brochure-based media, and only document media was the most beneficial in providing knowledge about rehabilitation. For caregivers, the use of a combination of advice from medical professionals along with paper and video media, and the use of knowledge gained from online channels were the most beneficial. Conclusion: Rehabilitation education materials used by stroke patients and their caregivers at home offer the highest level of satisfaction for the patients and caregivers if the medium of people who can give advice and communicate on issues meets their needs. In addition, patients and caregivers agreed that rehabilitation education should include more than one form of media for maximum benefit. Therefore, health professionals should consider the format of educational media appropriate to the needs of service recipients to be able to use them most effectively.

Gait performance in older adults across the cognitive spectrum: Results from the GAIT cohort.

Gait performance can provide valuable insights into cognitive functioning in older adult and may be used to screen for cognitive impairment. However, the optimal test condition and spatiotemporal parameter for accuracy have not yet been determined. This study aims to determine the gait measure with the highest accuracy identifying cognitive decline. A total of 711 participants were recruited, including 332 cognitively healthy individuals, 264 with mild cognitive impairment (MCI), and 115 with dementia, with a mean age of 72 years (interquartile range 69-76), and 43% (n = 307) of women. The participants underwent gait assessment in three different conditions, including a single task and dual tasks of counting backward by ones and naming animals. Gait performance was deteriorated as cognitive impairment progressed. The gait test performed during naming animals condition was the most accurate in differentiating between cognitive groups. Specifically, the naming animals gait speed was more accurate in discriminating control participants from those with cognitive impairment (area under the curve [AUC] = 76.9% for MCI and 99.7% for people with dementia with control group as reference). The coefficient of stride length variability while naming animals was the most effective parameter in discriminating between MCI and dementia groups (AUC = 96.7%). The naming animals dual-task gait test can be a valuable assessment for screening cognitive impairment in older adults, regardless of their cognitive abilities. The test is useful in clinical settings for subjects with a range of cognitive profiles.

Cognitive Function in Patients with Psychotic and Affective Disorders: Effects of Combining Pharmacotherapy with Cognitive Remediation.

Background: Cognitive impairment is a relevant problem in psychiatry and can be well assessed with a cross-diagnostic test such as the Screen for Cognitive Impairment in Psychiatry (SCIP). The aim of our pilot study is to assess cognitive impairment in acute psychiatric inpatients diagnosed with psychotic disorders, bipolar disorder and depression using the German version of the SCIP (SCIP-G). We also investigate whether cognitive dysfunction improves over the course of the inpatient treatment, where patients are offered a combination of pharmacological treatment and cognitive remediation. Methods: A total of 143 adult inpatients were included in the study. Cognitive testing was performed using two different forms of the SCIP-G. All patients received state-of-the-art pharmacotherapy and cognitive remediation using the COGPACK® software package version 6.06. Results: Based on the ICD-10 Criteria for Research, 54 patients were given an F2 diagnosis (schizophrenia and schizotypal and delusional disorders). Thirty-nine patients met the criteria for bipolar disorder (F30 and F31) and fifty for depression (F32 and F33). At baseline, a significant difference was observed between the SCIP total scores of the F2 and F32/33 patients (p < 0.001) and between the F2 and F30/31 groups (p = 0.022). At the second measurement time point, the SCIP total score showed significant improvement in all three groups (p < 0.001), and there was no statistically significant interaction between SCIP total score and diagnostic groups (p = 0.860). Conclusions: Cognitive dysfunction is present in psychiatric disorders and can be easily assessed during an inpatient hospital stay. In our sample, patients with a psychotic disorder were more cognitively impaired at baseline than patients with an affective disorder. Inpatient treatment, consisting of pharmacotherapy and cognitive remediation, improved cognitive deficits. Patients with psychotic disorders, bipolar disorder and depression showed similar improvements in cognitive performance.

AROMHA Brain Health Test: A Remote Olfactory Assessment as a Screen for Cognitive Impairment.

Cost-effective, noninvasive screening methods for preclinical Alzheimer's disease (AD) and other neurocognitive disorders remain an unmet need. The olfactory neural circuits develop AD pathological changes prior to symptom onset. To probe these vulnerable circuits, we developed the digital remote AROMHA Brain Health Test (ABHT), an at-home odor identification, discrimination, memory, and intensity assessment. The ABHT was self-administered among cognitively normal (CN) English and Spanish speakers (n=127), participants with subjective cognitive complaints (SCC; n=34), and mild cognitive impairment (MCI; n=19). Self-administered tests took place remotely at home under unobserved (among interested CN participants) and observed modalities (CN, SCC, and MCI), as well as in-person with a research assistant present (CN, SCC, and MCI). Olfactory performance was similar across observed and unobserved remote self-administration and between English and Spanish speakers. Odor memory, identification, and discrimination scores decreased with age, and olfactory identification and discrimination were lower in the MCI group compared to CN and SCC groups, independent of age, sex, and education. The ABHT revealed age-related olfactory decline, and discriminated CN older adults from those with cognitive impairment. Replication of our results in other populations would support the use of the ABHT to identify and monitor individuals at risk for developing dementia.

S2VQ-VAE: Semi-Supervised Vector Quantised-Variational AutoEncoder for Automatic Evaluation of Trail Making Test.

Computer-aided detection of cognitive impairment garnered increasing attention, offering older adults in the community access to more objective, ecologically valid, and convenient cognitive assessments using multimodal sensing technology on digital devices. In this study, we aimed to develop an automated method for screening cognitive impairment, building on paper- and electronic TMTs. We proposed a novel deep representation learning approach named Semi-Supervised Vector Quantised-Variational AutoEncoder (S2VQ-VAE). Within S2VQ-VAE, we incorporated intra- and inter-class correlation losses to disentangle class-related factors. These factors were then combined with various real-time obtainable features (including demographic, time-related, pressure-related, and jerk-related features) to create a robust feature engineering block. Finally, we identified the light gradient boosting machine as the optimal classifier. The experiments were conducted on a dataset collected from older adults in the community. The experimental results showed that the proposed multi-type feature fusion method outperformed the conventional method used in paper-based TMTs and the existing VAE-based feature extraction in terms of screening performance. In conclusion, the proposed deep representation learning method significantly enhances the cognitive diagnosis capabilities of behavior-based TMTs and streamlines large-scale community-based cognitive impairment screening while reducing the workload of professional healthcare staff.

Diagnostic accuracy, reliability, and construct validity of the German quick mild cognitive impairment screen

BackgroundEarly detection of cognitive impairment is among the top research priorities aimed at reducing the global burden of dementia. Currently used screening tools have high sensitivity but lack specificity at their original cut-off, while decreasing the cut-off was repeatedly shown to improve specificity, but at the cost of lower sensitivity. In 2012, a new screening tool was introduced that aims to overcome these limitations – the Quick mild cognitive impairment screen (Qmci). The original English Qmci has been rigorously validated and demonstrated high diagnostic accuracy with both good sensitivity and specificity. We aimed to determine the optimal cut-off value for the German Qmci, and evaluate its diagnostic accuracy, reliability (internal consistency) and construct validity.MethodsWe retrospectively analyzed data from healthy older adults (HOA; n = 43) and individuals who have a clinical diagnosis of ‘mild neurocognitive disorder’ (mNCD; n = 37) with a biomarker supported characterization of the etiology of mNCD of three studies of the ‘Brain-IT’ project. Using Youden’s Index, we calculated the optimal cut-off score to distinguish between HOA and mNCD. Receiver operating characteristic (ROC) curve analysis was performed to evaluate diagnostic accuracy based on the area under the curve (AUC). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Reliability (internal consistency) was analyzed by calculating Cronbach’s α. Construct validity was assessed by analyzing convergent validity between Qmci-G subdomain scores and reference assessments measuring the same neurocognitive domain.ResultsThe optimal cut-off score for the Qmci-G was ≤ 67 (AUC = 0.96). This provided a sensitivity of 91.9% and a specificity of 90.7%. The PPV and NPV were 89.5% and 92.9%, respectively. Cronbach’s α of the Qmci-G was 0.71 (CI95% [0.65 to 0.78]). The Qmci-G demonstrated good construct validity for subtests measuring learning and memory. Subtests that measure executive functioning and/or visuo-spatial skills showed mixed findings and/or did not correlate as strongly as expected with reference assessments.ConclusionOur findings corroborate the existing evidence of the Qmci’s good diagnostic accuracy, reliability, and construct validity. Additionally, the Qmci shows potential in resolving the limitations of commonly used screening tools, such as the Montreal Cognitive Assessment. To verify these findings for the Qmci-G, testing in clinical environments and/or primary health care and direct comparisons with standard screening tools utilized in these settings are warranted.

Relationship between burden of cerebral small vessel disease on imaging and cognitive impairment of COPD patients

ObjectiveThis study aims to explore the relationship between the burden of cerebral small vessel disease (CSVD) on imaging and cognitive impairment (CI) in patients with chronic obstructive pulmonary disease (COPD). MethodsThe study included 118 COPD patients admitted to Changxing People’s Hospital between July 2020 and July 2023. All patients received a 1.5 T MRI of the brain and pulmonary function tests. A cognitive function assessment was conducted via the Montreal Cognitive Assessment (MoCA) scale, and patients were divided into two groups. The relationship between the MoCA and CSVD burden score was analyzed by Pearson correlation, and to identify risk factors, multiple logistic regression analysis was performed. ResultsThe study showed a negative correlation between the MoCA and CSVD burden score in COPD patients (r=-0.479, P<0.001). Multiple logistic regression analysis found that age (OR=2.264, 95 % CI: 1.426–3.596, P<0.001), COPD grade (OR=3.139, 95 % CI: 2.012–4.898, P<0.001), as well as CSVD burden score (OR=5.336, 95 % CI: 1.191–23.900, P<0.001) were the independent risk factors for CI in COPD patients (P<0.05). ConclusionWhen screening for cognitive impairment in COPD patients, the CSVD burden score can be used in conjunction with cognitive assessment scales to make judgments.

The association between self-rated health, number of family members, and cognitive function in community-dwelling older adults: Mediating role of depression.

With the increasing number of older adults, research on cognitive function has expanded. However, studies examining the mediating effect of depression on the association between complex factors and cognitive function in older adults are still insufficient. Additionally, there is a lack of studies that have investigated these relationships by integrating multiple factors related to the cognitive function of older adults. Therefore, our study investigated the association between the number of family members, self-rated health, depression, and cognitive function in community-dwelling older adults and highlighted the mediating role of depression in these relationships. We used data from 218 older adults aged over 65 collected in a previous study. The independent variables were the number of family members and self-rated health, and the dependent variable was cognitive function measured by the cognitive impairment screening test (CIST). The mediation variable was depression measured by the Patient Health Questionnaire-9 (PHQ-9). Structural equation modeling was used to examine the association between the independent, dependent, and mediation variable. The mean ages of the participants were 81.71 (standard deviation [SD] = 6.00) years, with 198 females (90.83%) and 20 males (9.17%). The structural equation model demonstrated a good model fit (chi-square value = 33.375; degrees of freedom = 24; p-value = 0.0964; RMSEA = 0.042; CFI = 0.970; TLI = 0.956; SRMR = 0.042). Self-rated health and the number of family members were not directly associated with cognitive function; however, depression had significant indirect effects (self-rated health to cognitive function: coefficient = -0.023, p-value = 0.017; number of family members and cognitive function: coefficient = 0.012, p-value = 0.030). Our findings indicated that depression plays a crucial mediating role between self-rated health, number of family members, and cognitive function. The results highlight the need for comprehensive strategies for mental health care to support cognitive health in older adults.

Screening for frailty and its association with activities of daily living, cognitive impairment, and falls among community-dwelling older adults in China

ObjectivesFrailty is a prevalent geriatric condition that significantly impacts the health of older adults. This study aimed to examine the prevalence of frailty among older Chinese adults aged ≥ 65 years and to assess its association with adverse geriatric outcomes.MethodThis study included 20,724 older adults aged ≥ 65 years in Jiangsu Province, China, utilizing a random, stratified, multistage cluster sampling approach. Frailty was assessed using the 5-item FRAIL scale. Geriatric outcomes, such as independence in activities of daily living (ADL), cognitive impairment, and frequent fall events (occurring four or more times in the preceding year), were evaluated. Logistic regression models were employed to evaluate the association between frailty and geriatric outcomes, with results presented as odds ratios (ORs) and 95% confidence intervals (CIs).ResultsThe mean age of the participants was 73.4 ± 6.4 years. The standardized prevalence of prefrailty and frailty was 35.2% and 10.3%, respectively. Individuals identified as prefrail or frail tended to live in rural areas, have lower educational levels, be widowed, have lower incomes, and engage in less physical activity. Prefrailty and frailty were associated with an increased risk of limitations in BADL (OR: 9.62, 95% CI: 7.43–12.46; and OR: 29.25, 95% CI: 22.42–38.17, respectively) and IADL (OR: 2.54, 95% CI 2.35–2.74; and OR: 5.19, 95% CI 4.66–5.78, respectively), positive cognitive impairment screening (OR: 1.23, 95% CI: 1.16–1.31; and OR: 1.72, 95% CI: 1.56–1.91, respectively), and frequent falls (occurring four or more times in the preceding year) (OR: 3.38, 95% CI: 2.50–4.56; and OR: 8.37, 95% CI: 6.01–11.65). The association between frailty and both limitations in BADL and falls was notably more pronounced among the younger age groups (p for interaction < 0.001).ConclusionsAccording to the 5-item FRAIL scale, frailty was associated with limitations in BADLs and IADLs, positive cognitive impairment screening, and recent falls among older adults living in the community. Screening for frailty in younger age groups has the potential to prevent declines in physical function and falls.

The Effects of Dietary Intervention and Macrophage-Activating Factor Supplementation on Cognitive Function in Elderly Users of Outpatient Rehabilitation.

Age, genetic, and environmental factors are noted to contribute to dementia risk. Neuroplasticity, protection from degeneration and cell death, and early intervention are desirable for preventing dementia. The linkage between neurons and microglia has been a research focus. In this study, we examined the effects of dietary modification (a reduction in advanced glycation end products [AGEs]) and macrophage-activating factor (MAF; a macrophage regulator) supplementation on cognitive function in elderly participants undergoing rehabilitation. Participants were older than 60 years of age and had been attending a daycare rehabilitation facility for at least three months without cognitive dysfunction, severe anemia, terminal cancer, or neurodegenerative diseases such as Parkinson's disease. The exercise protocol at the rehabilitation facility was not changed during the study period. Forty-three participates were randomly divided into three groups: a control group receiving placebo, a group receiving dietary guidance, and a group receiving dietary guidance and MAF supplementation. The amyloid-β40/42 ratio, dietary AGE intake, plasma AGE levels, dietary caloric intake, and mild cognitive impairment (MCI) screen test were evaluated. Four participants withdrew from the study. MCI screening scores significantly improved in the MAF supplementation group, especially after 6 months. Dietary modulation was also more effective than placebo at improving cognitive function after 12 months. Only the control group exhibited significantly increased plasma AGEs while the dietary modulation and MAF supplementation groups showed no change in plasma AGEs after 12 months. MAF supplementation improved cognitive function, especially after 6 months, in elderly people undergoing rehabilitation. Dietary modulation was also effective for improving cognitive function after 12 months compared to that in the control group. It was difficult to supervise meals during dietary guidance at the daycare service. However, simple guidance could show improvements in cognitive function through diet.

Investigating cognitive impairment, biopsychosocial barriers, and predictors of return to daily life among older stroke survivors.

The aim was to investigate the associations between cognitive impairment and biopsychosocial factors among older stroke survivors and predictors of poststroke return to daily life. This cross-sectional study involved 117 stroke survivors (61% men) with an average age of 77 years (range 65-91). The participants completed two questionnaires (Riksstroke and Short Form 36 questionnaires). The Montreal Cognitive Assessment (MoCA) was used to assess cognitive abilities. The International Classification of Functioning, Disability, and Health (ICF) framework guided the selection of biopsychosocial variables. We used Spearman's correlation coefficient and multiple logistic regression in the analyses. The average MoCA score was 21.7 points (range: 4-30, SD 5.6). The need for assistance from relatives and professionals, need for help with dressing and household chores, reliance on others for mobility, and reading and balance problems were correlated with more severe cognitive impairment (r = 0.20-0.33). Cognitive impairment, fatigue, and balance issues predicted an unfavorable return to daily life (odds ratio: 6.2-6.8). The study indicated that cognitive impairment is associated with difficulties in all ICF domains. Cognitive impairment, fatigue, and balance issues are associated with an unsuccessful return to daily life. Prioritizing these factors and screening for cognitive impairment with objective assessment tools may improve rehabilitation outcomes and enhance overall quality of life poststroke.

Implementation of a Multidisciplinary Team to Improve the Quality of Care for Older Surgical Patients at a Rural Academic Medical Center.

For the first time in history, people age older than 65 years make up >20% of the non-metro population, compared with 16% of the metro population. From 2010 to 2020 the nonmetro population age older than 65 years grew by 22%, while the working-age population declined by 4.9%, and the population aged under 18 years declined by 5.7%.1,2 Multidisciplinary geriatric surgical programs are an increasingly recognized approach to the care of older surgical patients and preliminary data suggest they can reduce length of stay. Although rural areas have the greatest proportion of patients age older than 65 years, implementation of such programs faces special challenges in rural settings with limited resources. Dartmouth-Hitchcock Medical Center is one of the most rural academic centers in the United States. Challenges include a shortage of geriatric-trained providers, long distances to access primary care and subspecialists, and extremely limited postacute care options and skilled nursing facility beds. To address the unique needs of our provider and patient population we began with a development period where we conducted stakeholder interviews. Using these data, we mapped out a workflow and developed pilot projects to address different portions of the workflow, such as preoperative screening for frailty and cognitive impairment, interdisciplinary weekly case conferences, proactive case management, delirium and geriatric surgery postoperative pathway order sets, and a variety of tools for reorientation and delirium management. Herein we describe the process of development and pragmatic clinical implementation of geriatric-focused care for older surgical patients in our rural tertiary center, including some of the main challenges we faced and the strategies we undertook to overcome them, and some of our early patient centered and clinical outcomes. This information may assist other institutions as they design geriatric-focused surgical programs to address the growing population of older adults and the need for compliance with state legislation. The clinical program described is not a research study, and the outcome data we report is for the purpose of description, and should not be interpreted as a rigorous research investigation of the effect of our intervention.

New Horizons in Peripheral Artery Disease.

Peripheral artery disease (PAD) is the lower limb manifestation of systemic atherosclerotic disease. PAD may initially present with symptoms of intermittent claudication, whilst chronic limb-threatening ischaemia (CLTI), the end stage of PAD, presents with rest pain and/or tissue loss. PAD is an age-related condition present in over 10% of those aged ≥65 in high-income countries. Guidelines regarding definition, diagnosis and staging of PAD and CLTI have been updated to reflect the changing patterns and presentations of disease given the increasing prevalence of diabetes. Recent research has changed guidelines on optimal medical therapy, with low-dose anticoagulant plus aspirin recommended in some patients. Recently published randomised trials highlight where bypass-first or endovascular-first approaches may be optimal in infra-inguinal disease. New techniques in endovascular surgery have increased minimally invasive options for ever more complex disease. Increasing recognition has been given to the complexity of patients with CLTI where a high prevalence of both frailty and cognitive impairment are present and a significant burden of multi-morbidity and polypharmacy. Despite advances in minimally invasive revascularisation techniques and reduction in amputation incidence, survival remains poor for many with CLTI. Shared decision-making is essential, and conservative management is often appropriate for older patients. There is emerging evidence of the benefit of specialist geriatric team input in the perioperative management of older patients undergoing surgery for CLTI. Recent UK guidelines now recommend screening for frailty, cognitive impairment and delirium in older vascular surgery patients as well as recommending all vascular surgery services have support and input from specialist geriatrics teams.

Cognitive impairment in young and middle-aged patients with acute heart failure.

This study aimed to investigate the prevalence, risk factors and prognostic implications of cognitive impairment in young and middle-aged patients with acute heart failure (HF). In a prospective cohort of patients with acute HF, we assessed cognitive function by the Mini-Cog, predictors of the cognitive impairment and its associations with 30day and 1year cardiovascular death or HF rehospitalization among young and middle-aged patients (<65years old). Among 1958 young and middle-aged patients, the prevalence of cognitive impairment was 19.6%. Predictors of cognitive impairment included older age, females, lower education levels and prior strokes. Compared with patients having normal cognitive function, cognitive impairment was associated with a higher risk of 30day cardiovascular death or HF rehospitalization [hazard ratio (HR), 1.52, 95% confidence interval (CI), 1.07-2.17, P=0.02], but not for 1year cardiovascular death or HF rehospitalization (HR, 1.06, 95% CI, 0.87-1.30, P=0.55). Cognitive impairment is present in a notable proportion of young and middle-aged patients with acute HF and is associated with an increased risk of short-term adverse outcomes. Strategies for screening and intervention for cognitive impairment at a younger age are necessary, particularly for those at high risk.

Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions.

This study surveyed 51 specialist clinicians for their views on existing cognitive screening tests for mild cognitive impairment and their opinions about a hypothetical remote screener driven by artificial intelligence (AI). Responses revealed significant concerns regarding the sensitivity, specificity, and time taken to administer current tests, along with a general willingness to consider adopting telephone-based screening driven by AI. Findings highlight the need to design screeners that address the challenges of recognizing the earliest stages of cognitive decline and that prioritize not only accuracy but also stakeholder input.

Early-Life Circumstances and Racial Disparities in Cognition Among Older Adults in the US

ImportanceGiven the critical role of neurocognitive development in early life, understanding the association between early-life circumstances and racial disparities in cognition has important implications.ObjectiveTo assess whether racial differences in early-life circumstances are collectively and individually associated with racial disparities in late-life cognition among older adults in the US.Design, Setting, and ParticipantsThis cross-sectional study used comprehensive life history data from the Health and Retirement Study, a nationally representative survey of US adults 50 years or older. Data analyses were performed from August 9, 2022, to January 20, 2024.Main Outcomes and MeasuresRacial differences in early-life circumstances and racial disparities in late-life cognition were investigated using a Blinder-Oaxaca decomposition regression model. Cognitive outcomes, including cognitive score and cognitive impairment, were evaluated using the Telephone Interview for Cognitive Status. Early-life educational experiences were primary explanatory variables; early-life cohort, regional, financial, health, trauma, family relationship factors, and educational attainment were additional explanatory variables; demographic and genetic factors were covariates.ResultsThe study sample comprised 9015 participants; 1634 non-Hispanic Black (hereafter, Black) individuals (18.1%) and 7381 non-Hispanic White (hereafter, White) individuals (81.9%). Among Black participants, the mean (SD) age was 69.2 (9.2) years and 1094 (67.0%) were women. Among White participants, the mean (SD) age was 73.2 (10.1) years and 4410 (59.7%) were women. Cognitive scores (scale, 0-27) were significantly lower among Black participants (13.5 [95% CI, 13.3-13.7] points) than among White participants (15.8 [95% CI, 15.7-15.9] points), while the prevalence of cognitive impairment (cognitive score <12) was significantly higher among Black participants (33.6 [95% CI, 31.3-35.9] percentage points [ppt]) than among White participants (16.4 [95% CI, 15.6-17.2] ppt). Substantial racial differences were observed in early-life circumstances. Overall, differences in early-life circumstances were associated with 61.5% of the racial disparities in cognitive score (1.4 [95% CI, 0.88-2.0] points), and 82.3% of the racial disparities in cognitive impairment (14.2 [95% CI, 8.8-19.5] ppt), respectively. In multivariable analyses, early-life educational experiences were associated with 35.2% of the disparities in cognitive score and 48.6% in cognitive impairment. Notably, school racial segregation (all segregated schooling before college) was associated with 28.8% to 39.7% of the racial disparities in cognition. These findings were consistent in a series of sensitivity analyses.Conclusions and RelevanceThe findings of this cross-sectional study suggest that less favorable early-life circumstances are associated with clinically meaningful racial disparities in late-life cognition. Policies that improve educational equity have the potential to reduce racial disparities in cognition in older ages. Clinicians may leverage early-life circumstances to promote the screening, prevention, and interventions of cognitive impairment more efficiently, thereby promoting health equity.