scholarly journals The utility of neuropsychological consultation in identifying medical inpatients with suspected cognitive impairment at risk for greater hospital utilization

2018 ◽  
Vol 33 (1) ◽  
pp. 75-89 ◽  
Author(s):  
Erica Sieg ◽  
Quan Mai ◽  
Caterina Mosti ◽  
Michael Brook
2020 ◽  
pp. 6475-6477
Author(s):  
Bart Sheehan

Delirium is one of the most common psychiatric problems encountered in elderly medical inpatients. It involves a fluctuating cognitive impairment with reduced alertness and often with poorly formed delusions and/or visual hallucinations. The main differential diagnosis is from dementia, although delirium is more likely to develop in patients with existing dementia. Almost any medical condition that affects brain function may cause delirium. Infection is the most common cause, and it is important to consider prescribed drugs as a cause and to remember drug and alcohol withdrawal. Imperatives in management are first to keep the patient safe from harm (they may wander or put themselves in danger), and second to find and correct the cause. Urgent medical investigation and treatment is required as long periods of delirium put the patient at risk of harm, including permanent cognitive impairment.


BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e041695
Author(s):  
Catherine Elliott ◽  
Caroline Alexander ◽  
Alison Salt ◽  
Alicia J Spittle ◽  
Roslyn N Boyd ◽  
...  

IntroductionThe current diagnostic pathways for cognitive impairment rarely identify babies at risk before 2 years of age. Very early detection and timely targeted intervention has potential to improve outcomes for these children and support them to reach their full life potential. Early Moves aims to identify early biomarkers, including general movements (GMs), for babies at risk of cognitive impairment, allowing early intervention within critical developmental windows to enable these children to have the best possible start to life.Method and analysisEarly Moves is a double-masked prospective cohort study that will recruit 3000 term and preterm babies from a secondary care setting. Early Moves will determine the diagnostic value of abnormal GMs (at writhing and fidgety age) for mild, moderate and severe cognitive delay at 2 years measured by the Bayley-4. Parents will use the Baby Moves smartphone application to video their babies’ GMs. Trained GMs assessors will be masked to any risk factors and assessors of the primary outcome will be masked to the GMs result. Automated scoring of GMs will be developed through applying machine-based learning to the data and the predictive value for an abnormal GM will be investigated. Screening algorithms for identification of children at risk of cognitive impairment, using the GM assessment (GMA), and routinely collected social and environmental profile data will be developed to allow more accurate prediction of cognitive outcome at 2 years. A cost evaluation for GMA implementation in preparation for national implementation will be undertaken including exploring the relationship between cognitive status and healthcare utilisation, medical costs, health-related quality of life and caregiver burden.Ethics and disseminationEthics approval has been granted by the Medical Research Ethics Committee of Joondalup Health Services and the Health Service Human Research Ethics Committee (1902) of Curtin University (HRE2019-0739).Trial registration numberACTRN12619001422112.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pei Ern Mary Ng ◽  
Sean Olivia Nicholas ◽  
Shiou Liang Wee ◽  
Teng Yan Yau ◽  
Alvin Chan ◽  
...  

AbstractTo address the paucity of research investigating the implementation of multi-domain dementia prevention interventions, we implemented and evaluated a 24-week, bi-weekly multi-domain program for older adults at risk of cognitive impairment at neighborhood senior centres (SCs). It comprised dual-task exercises, cognitive training, and mobile application-based nutritional guidance. An RCT design informed by the Reach, Effectiveness, Adoption, Implementation, Maintenance framework was adopted. Outcome measures include cognition, quality of life, blood parameters, and physical performance. Implementation was evaluated through questionnaires administered to participants, implementers, SC managers, attendance lists, and observations. The program reached almost 50% of eligible participants, had an attrition rate of 22%, and was adopted by 8.7% of the SCs approached. It was implemented as intended; only the nutritional component was re-designed due to participants’ unfamiliarity with the mobile application. While there were no between-group differences in cognition, quality of life, and blood parameters, quality of life reduced in the control group and physical function improved in the intervention group after 24 weeks. The program was well-received by participants and SCs. Our findings show that a multi-domain program for at-risk older adults has benefits and can be implemented through neighborhood SCs. Areas of improvement are discussed.Trial registration: ClinicalTrials.gov NCT04440969 retrospectively registered on 22 June 2020.


2016 ◽  
Vol 33 (S1) ◽  
pp. S150-S150 ◽  
Author(s):  
G. McCarthy ◽  
O. Fitzpatrick ◽  
D. O’Neill ◽  
D. Meagher ◽  
D. Adamis

IntroductionTraditionally psychomotor subtypes have been investigated in patients with delirium in different settings and it has been found that those with hypoactive type is the largest proportion, often missed and with the worst outcomes.Aims and objectivesWe examined the psychomotor subtypes in an older age inpatients population, the effects that observed clinical variables have on psychomotor subtypes and their association with one year mortality.MethodsProspective study. Participants were assessed using the scales CAM, APACHE II, MoCA, Barthel Index and DRS-R98. Pre-existing dementia was diagnosed according to DSM-IV criteria. Psychomotor subtypes were evaluated using the two relevant items of DRS-R98. Mortality rates were investigated one year after admission day.ResultsThe sample consisted of 200 participants [mean age 81.1 ± 6.5; 50% female; pre-existing cognitive impairment in 126 (63%)]. Thirty-four (17%) were identified with delirium (CAM+). Motor subtypes of the entire sample was: none: 119 (59.5%), hypo: 37 (18.5%), mixed: 15 (7.5%) and hyper: 29 (14.5%). Hypoactive and mixed subtype were significantly more frequent to delirious patients than to those without delirium, and none subtype more often to those without delirium. There was no difference in the hyperactive subtype between those with and without delirium. Hypoactive subtype was significant associated with delirium and lower scores in MoCA (cognition), while mixed was associated mainly with delirium. Predictors for one-year mortality were lower MoCA scores and severity of illness.ConclusionsPsychomotor disturbances are not unique to delirium. Hypoactivity, this “silent epidemic” is also part of a deteriorated cognition.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2009 ◽  
Vol 21 (1-2) ◽  
pp. 3-12 ◽  
Author(s):  
Christine Fennema-Notestine ◽  
Linda K. McEvoy ◽  
Donald J. Hagler ◽  
Mark W. Jacobson ◽  
Anders M. Dale ◽  
...  

Current research supports the strong potential of structural MRI profiles, even within cross-sectional designs, as a promising method for the discrimination of Alzheimer's Disease (AD) from normal controls and for the prediction of Mild Cognitive Impairment (MCI) progression and conversion to AD. Findings suggest that measures of structural change in mesial and lateral temporal, cingulate, parietal and midfrontal areas may facilitate the assessment of a treatment's ability to halt the progressive structural loss that accompanies clinical decline in MCI. The performance of prediction is likely to continue to improve with the incorporation of measures from other neuroimaging modalities, clinical assessments, and neuromedical biomarkers, as the regional profile of individuals at risk for progression is refined.


Author(s):  
Philipp Schuetz ◽  
Prisca Z Blaser Yildirim ◽  
Viktoria L Gloy ◽  
Matthias Briel ◽  
Martina R Bally

2019 ◽  
Vol 15 ◽  
pp. P790-P791
Author(s):  
Loreli Alvarez ◽  
Gilberto Isaac Acosta-Castillo ◽  
Ana Luisa Sosa-Ortiz

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