The Bristol Brain Health Clinic

Abstract Background Currently, most clinical services focus on dementia diagnosis rather than prevention, despite evidence showing benefits of preventative interventions. People often present with memory problems before having dementia, or when in the early stages and are motivated to adopt preventive lifestyle strategies to slow decline. To address gaps in clinical services we set up the Bristol Brain Health Clinic (BHC) in 2017. Here we present a clinic evaluation of diagnostic work up, interventions, and patient experience. Method Relevant data was extracted from the medical records of patients attending The North Bristol NHS Trust BHC. Descriptive statistics were performed. Evaluation was carried out in line with European Task Force recommendations. Result 110 patients were seen in clinic between 2017‐ 2023. Mean follow‐up was 2yrs (SD 1.32). All patients had access to diagnostic assessments: neurological examination, neuropsychometry, serological and cerebrospinal fluid testing (CSF). Patients were offered bespoke lifestyle information and research opportunities. Patient cohort : Mean age was 63 years (SD 11.74). 67% were male. Mean MOCA at baseline was 24 (SD 3.62). Dementia Risk Factors (prevalence) : High blood pressure (49.09%), high cholesterol (47.27%), diabetic (15.45%), prediabetic (13.63%, current smoker (9.90%), ex‐smoker (39.10%), > 14 units of alcohol per week (21.81%), history of heavy drinking (14%), Mean BMI 28.01 (SD 5.85), hearing loss (40%), history of head injury (23.63%), low mood (55.45%), poor sleep quality (64%). CSF Studies : 38 subjects were tested for biomarkers of neurodegenerative disease. Twenty (52.63%) were positive, 18 (47.37%) were negative. Diagnoses at Final Review : Mild cognitive Impairment 27.27%, Dementia 20%, Subjective Cognitive Decline 18.91%, Uncertain 33.64%. Aetiologies : Alzheimer’s Disease 22.73%, Functional Cognitive Disorder 14.55%, Vascular 7.27%, Multi‐Factorial 5.45%, Parkinson’s Disease 2.73%, Lewy Body Disease 2.73, Affective Disorders 2.73%, Mixed 1.82%, Other 1.82%, Uncertain Cause 38.18%. Discharge : 37.14% of the cohort were discharged with stable/resolved symptoms. Patient Feedback : 84.21% ‘Extremely Likely’ to recommend our service. 92.31% felt possibly better able to cope with symptoms. Conclusion Our population had a high prevalence of dementia risk factors and range of diagnoses. Many patients’ symptoms were stable/resolved at follow up. This population merits further investigation and continued early targeting with preventative measures.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091210
Primary Topic
Diet and metabolism studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Bristol Brain Health Clinic

Elizabeth Coulthard, Anneka F Butters, Hilary Archer, Hannah Farouk
Alzheimer s & Dementia
Diet and metabolism studies
article

The Bristol Brain Health Clinic

Elizabeth Coulthard, Anneka F Butters, Hilary Archer, Hannah Farouk
article en

Abstract

Abstract Background Currently, most clinical services focus on dementia diagnosis rather than prevention, despite evidence showing benefits of preventative interventions. People often present with memory problems before having dementia, or when in the early stages and are motivated to adopt preventive lifestyle strategies to slow decline. To address gaps in clinical services we set up the Bristol Brain Health Clinic (BHC) in 2017. Here we present a clinic evaluation of diagnostic work up, interventions, and patient experience. Method Relevant data was extracted from the medical records of patients attending The North Bristol NHS Trust BHC. Descriptive statistics were performed. Evaluation was carried out in line with European Task Force recommendations. Result 110 patients were seen in clinic between 2017‐ 2023. Mean follow‐up was 2yrs (SD 1.32). All patients had access to diagnostic assessments: neurological examination, neuropsychometry, serological and cerebrospinal fluid testing (CSF). Patients were offered bespoke lifestyle information and research opportunities. Patient cohort : Mean age was 63 years (SD 11.74). 67% were male. Mean MOCA at baseline was 24 (SD 3.62). Dementia Risk Factors (prevalence) : High blood pressure (49.09%), high cholesterol (47.27%), diabetic (15.45%), prediabetic (13.63%, current smoker (9.90%), ex‐smoker (39.10%), > 14 units of alcohol per week (21.81%), history of heavy drinking (14%), Mean BMI 28.01 (SD 5.85), hearing loss (40%), history of head injury (23.63%), low mood (55.45%), poor sleep quality (64%). CSF Studies : 38 subjects were tested for biomarkers of neurodegenerative disease. Twenty (52.63%) were positive, 18 (47.37%) were negative. Diagnoses at Final Review : Mild cognitive Impairment 27.27%, Dementia 20%, Subjective Cognitive Decline 18.91%, Uncertain 33.64%. Aetiologies : Alzheimer’s Disease 22.73%, Functional Cognitive Disorder 14.55%, Vascular 7.27%, Multi‐Factorial 5.45%, Parkinson’s Disease 2.73%, Lewy Body Disease 2.73, Affective Disorders 2.73%, Mixed 1.82%, Other 1.82%, Uncertain Cause 38.18%. Discharge : 37.14% of the cohort were discharged with stable/resolved symptoms. Patient Feedback : 84.21% ‘Extremely Likely’ to recommend our service. 92.31% felt possibly better able to cope with symptoms. Conclusion Our population had a high prevalence of dementia risk factors and range of diagnoses. Many patients’ symptoms were stable/resolved at follow up. This population merits further investigation and continued early targeting with preventative measures.

Alzheimer s & DementiaVol. 20(S7)
North Bristol NHS Trust (GB), Southmead Hospital (GB), University of Bristol (GB)
Openalex Percentile: Top 65%
Diet and metabolism studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.