Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-22T12:57:15.508Z Has data issue: false hasContentIssue false

Diagnostic challenges and disparities in young-onset dementia: insights from a Southeast London memory clinic study

Published online by Cambridge University Press:  01 February 2024

Latha Velayudhan*
Affiliation:
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK South London and Maudsley NHS Foundation Trust, London, UK
Christoph Mueller
Affiliation:
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK South London and Maudsley NHS Foundation Trust, London, UK
*
Correspondence should be addressed to: Latha Velayudhan, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, De Crespigny Park, SE5 8AF, London, UK. Email: [email protected]

Abstract

Type
Letter to the Editor
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Psychogeriatric Association

Presentation with dementia is not uncommon in people under the age of 65 years (young-onset dementia, YOD) with significant impact on patients and their families (Hendriks et al., Reference Hendriks, Peetoom, Bakker, Koopmans, van der Flier, Papma, Verhey, de Vugt and Köhler2022). Subjective cognitive complaints are associated with a higher risk for dementia (Perna et al., Reference Perna, Stocker, Burow, Beyer, Trares, Kurz, Gürsel, Holleczek, Tatò, Beyreuther, Mons, Gerwert, Perneczky, Schöttker and Brenner2023), but are similar in their prevalence in working-age and older populations (Begum et al., Reference Begum, Dewey, Hassiotis, Prince, Wessely and Stewart2014). Aim of this study was to determine the proportion of younger people attending memory clinics eventually diagnosed with dementia and to characterize dementia subtypes, time to diagnosis, and risk factors in a diverse population.

We carried out a retrospective analysis of people aged under 65 years referred to diagnostic memory service in Southeast London, UK, between March 2011 and March 2022 using data from the Clinical Record Interactive Search (CRIS) system. CRIS provides researchers access to more than 500,000 anonymized mental health and dementia care records (Perera et al., Reference Perera, Broadbent, Callard, Chang, Downs, Dutta, Fernandes, Hayes, Henderson, Jackson, Jewell, Kadra, Little, Pritchard, Shetty, Tulloch and Stewart2016) and has full approval for secondary analysis by the Oxford Research Ethics Committee (reference: 18/SC/0372).

Between 2011 and 2022, 2,738 patients aged under 65 years were referred to memory services in Southeast London. Mean age (SD) at referral was 57.1(±6.8) years and 41.2% were male. Of those, 408 (14.8%) were eventually diagnosed with dementia, and mean age (SD) at dementia diagnosis was 61.6 (±4.7) years. Those diagnosed with dementia were older at the time of first referral and more frequently male (see Table 1). In the White British group 12.8% and in the Black group (combining Black Caribbean and Black African) 21.5% were eventually diagnosed with dementia (p < 0.001; corrected for multiple comparisons p < 0.002 (Benjamini and Hochberg, Reference Benjamini and Hochberg1995)).

Table 1. Patient characteristics in those with and without dementia diagnosis and dementia subtypes

1 P-values are calculated using t-test for age and chi2 test for gender and ethnicity.

2 P-values corrected for multiple testing using the Benjamini–Hochberg procedure (Benjamini and Hochberg, Reference Benjamini and Hochberg1995).

Dementia subtypes are presented in Table 1 with Alzheimer’s disease (AD) being commonest followed by vascular dementia (VD). Average time from first referral to diagnosis was 1.4 years, whereby this was longest in those diagnosed with a Lewy body dementia (LBD; 2.9 years), followed by AD (1.6 years), unspecified dementia (1.4 years), vascular and frontotemporal dementia (0.8 years), and dementia in other diseases (0.6 years).

Compared to their White counterparts, patients of Black background had higher odds of being diagnosed with any dementia (Odds ratio (OR): 1.86; 95% confidence interval (CI): 1.42–2.43; p < 0.001), AD (OR: 1.53; 95%CI: 1.08–2.15; p = 0.016; comparison with no dementia), and VD (OR: 3.75; 95%CI: 2.18–6.46; p < 0.001; comparison with no dementia) in logistic regression models adjusted for age at first referral and gender. There was no significant difference in time to diagnosis between White (1.6 years) and Black (1.2 years) patients (p = 0.123).

Diagnosing YOD can be challenging due to atypical presentations. Our findings of Alzheimer’s being the most common followed by VD are in keeping with previous reports of YOD subtypes (Kvello-Alme et al., Reference Kvello-Alme, Bråthen, White and Sando2019). For LBD, it took almost 3 years, and twice as long as in all-cause dementia, from first referral to reach a dementia diagnosis. Whereby delays in LBD diagnosis are known from older populations, with 1.2 years in one UK study (Surendranathan et al., Reference Surendranathan, Kane, Bentley, Barker, Taylor, Thomas, Allan, McNally, James, McKeith, Burn and O’Brien2020), this seems to be more pronounced in our working-age sample. A recent retrospective Australian study also mentions other dementias including LBD as predictors for delayed diagnosis in people with YOD (Loi et al., Reference Loi, Goh, Mocellin, Malpas, Parker, Eratne, Farrand, Kelso, Evans, Walterfang and Velakoulis2022). LBD frequently has a psychiatric onset with low mood or hallucinations being common early complaints (Moylett et al., Reference Moylett, Price, Cardinal, Aarsland, Mueller, Stewart and O’Brien2019). In younger patients, it is likely that affective or psychotic symptoms are attributed to functional mental illness.

Black patients presenting with cognitive concerns had almost two times higher odds of being diagnosed with any dementia and four times higher odds of being diagnosed with VD. Previous studies in this catchment showed that people from ethnic minority groups are diagnosed younger, with more advanced cognitive impairment and non-cognitive symptoms (Mukadam et al., Reference Mukadam, Lewis, Mueller, Werbeloff, Stewart and Livingston2019; Tsamakis et al., Reference Tsamakis, Gadelrab, Wilson, Bonnici-Mallia, Hussain, Perera, Rizos, Das-Munshi, Stewart and Mueller2021). Our study extends those findings to a young-onset population. VD was more common in our sample, which was drawn from a catchment where Black and Ethnic minorities represent up to 40% of the population, than in other populations (Kvello-Alme et al., Reference Kvello-Alme, Bråthen, White and Sando2019). This suggests that a higher prevalence of vascular risk factors could contribute to more people with Black backgrounds receiving a diagnosis of dementia.

In conclusion, we found that about one in seven people under 65 years referred to memory services were eventually diagnosed with dementia, with AD and VD being the most common subtypes. Challenges known from older adult services, as delayed diagnosis of DLB and higher rates of VD in Black populations, appear to be more pronounced in this younger population. Clinicians ought to be aware of the possibility of DLB in psychiatric presentations in middle-aged patients and public health measures should target vascular risk factors and encourage earlier memory clinic assessments in Black minority groups.

Conflict of interest

CM and LV declare no conflict of interest.

Data availability

No additional data are available.

Funding

The data resource and CM are part-funded by the National Institute for Health Research (NIHR) Biomedical Research Centre in South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care.

Author contributions

The study was conceived by LV. Analyses were carried out by CM. The manuscript was written by LV and CM.

References

Begum, A., Dewey, M., Hassiotis, A., Prince, M., Wessely, S., Stewart, R. (2014). Subjective cognitive complaints across the adult life span: a 14-year analysis of trends and associations using the 1993, 2000 and 2007 English Psychiatric Morbidity Surveys. Psychological Medicine, 44(9), 19771987.CrossRefGoogle ScholarPubMed
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B, 57(1), 289300.CrossRefGoogle Scholar
Hendriks, S., Peetoom, K., Bakker, C., Koopmans, R., van der Flier, W., Papma, J., Verhey, F., de Vugt, M., Köhler, S. (2022). Global incidence of young-onset dementia: A systematic review and meta-analysis. Alzheimer’s & Dementia. Online ahead of print.Google ScholarPubMed
Kvello-Alme, M., Bråthen, G., White, L. R., & Sando, S. B. (2019). The prevalence and subtypes of young onset dementia in Central Norway: a population-based study. Journal of Alzheimer’s Disease, 69(2), 479487.CrossRefGoogle ScholarPubMed
Loi, S. M., Goh, A. M. Y., Mocellin, R., Malpas, C. B., Parker, S., Eratne, D., Farrand, S., Kelso, W., Evans, A., Walterfang, M., Velakoulis, D., (2022). Time to diagnosis in younger-onset dementia and the impact of a specialist diagnostic service. International Psychogeriatrics, 34(4), 367375.CrossRefGoogle ScholarPubMed
Moylett, Séad, Price, A., Cardinal, R. N., Aarsland, D., Mueller, C., Stewart, R., O’Brien, J. T., (2019). Clinical presentation, diagnostic features, and mortality in dementia with Lewy bodies. Journal of Alzheimers Disease, 67(3), 9951005.CrossRefGoogle ScholarPubMed
Mukadam, N., Lewis, G., Mueller, C., Werbeloff, N., Stewart, R., & Livingston, G. (2019). Ethnic differences in cognition and age in people diagnosed with dementia: a study of electronic health records in two large mental healthcare providers. International Journal of Geriatric Psychiatry, 34(3), 504510.CrossRefGoogle ScholarPubMed
Perera, G., Broadbent, M., Callard, F., Chang, C.-K., Downs, J., Dutta, R., Fernandes, A., Hayes, R. D., Henderson, M., Jackson, R., Jewell, A., Kadra, G., Little, R., Pritchard, M., Shetty, H., Tulloch, A., Stewart, R., (2016). Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource. BMJ Open, 6(3), e008721.CrossRefGoogle ScholarPubMed
Perna, L., Stocker, H., Burow, L., Beyer, Léon, Trares, K., Kurz, C., Gürsel, S., Holleczek, B., Tatò, M., Beyreuther, K., Mons, U., Gerwert, K., Perneczky, R., Schöttker, B., Brenner, H., (2023). Subjective cognitive complaints and blood biomarkers of neurodegenerative diseases: a longitudinal cohort study. Alzheimer’s Research & Therapy, 15(1), 198.CrossRefGoogle ScholarPubMed
Surendranathan, A., Kane, J. P. M., Bentley, A., Barker, S. A. H., Taylor, J.-P., Thomas, A. J., Allan, L. M., McNally, R. J., James, P. W., McKeith, I. G., Burn, D. J., O’Brien, J. T., (2020). Clinical diagnosis of Lewy body dementia. BJPsych Open, 6(4), e61.CrossRefGoogle ScholarPubMed
Tsamakis, K., Gadelrab, R., Wilson, M., Bonnici-Mallia, A. M., Hussain, L., Perera, G., Rizos, E., Das-Munshi, J., Stewart, R., Mueller, C., (2021). Dementia in people from ethnic minority backgrounds: disability, functioning, and pharmacotherapy at the time of diagnosis. Journal of The American Medical Directors Association, 22(2), 446452.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Patient characteristics in those with and without dementia diagnosis and dementia subtypes