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1.
Acta Neuropsychiatr ; 36(1): 17-28, 2024 Feb.
Article in English | MEDLINE | ID: mdl-37114460

ABSTRACT

OBJECTIVE: People with neuropsychiatric symptoms often experience delay in accurate diagnosis. Although cerebrospinal fluid neurofilament light (CSF NfL) shows promise in distinguishing neurodegenerative disorders (ND) from psychiatric disorders (PSY), its accuracy in a diagnostically challenging cohort longitudinally is unknown. METHODS: We collected longitudinal diagnostic information (mean = 36 months) from patients assessed at a neuropsychiatry service, categorising diagnoses as ND/mild cognitive impairment/other neurological disorders (ND/MCI/other) and PSY. We pre-specified NfL > 582 pg/mL as indicative of ND/MCI/other. RESULTS: Diagnostic category changed from initial to final diagnosis for 23% (49/212) of patients. NfL predicted the final diagnostic category for 92% (22/24) of these and predicted final diagnostic category overall (ND/MCI/other vs. PSY) in 88% (187/212), compared to 77% (163/212) with clinical assessment alone. CONCLUSIONS: CSF NfL improved diagnostic accuracy, with potential to have led to earlier, accurate diagnosis in a real-world setting using a pre-specified cut-off, adding weight to translation of NfL into clinical practice.


Subject(s)
Alzheimer Disease , Cognitive Dysfunction , Neurodegenerative Diseases , Humans , Alzheimer Disease/diagnosis , Neurofilament Proteins/cerebrospinal fluid , Intermediate Filaments , Neurodegenerative Diseases/diagnosis , Neurodegenerative Diseases/cerebrospinal fluid , Cognitive Dysfunction/diagnosis , Biomarkers/cerebrospinal fluid
2.
J Neurol Sci ; 442: 120437, 2022 11 15.
Article in English | MEDLINE | ID: mdl-36179426

ABSTRACT

INTRODUCTION: There has not been any examination of the risk factors associated with mortality in Huntington's Disease (HD) in an Australian cohort. METHOD: This retrospective study included inpatients admitted to a specialist neuropsychiatry service in Melbourne, Australia. HD status was based on genetic testing. Risk factors included age of onset, CAG repeat length and neuroimaging. Mortality data was acquired through the Australian Institute of Health and Welfare National Death Index. RESULTS: The cohort included 83 participants, with 44 (53%) deceased. The median age of death was 59 years and median survival was 18.8 years from onset age (median 41.0 years). CAG repeat length (median 44.0, IQR 42.5, 47.0) was inversely correlated with age of onset (r = -0.73) and age at death (r = -0.80) but was not correlated with mortality status. There was no difference in functional and cognitive assessments, nor brain volumes, in the alive group compared to the deceased group. There were more people who were alive who had a positive family history of a psychiatric condition (p = 0.006) or dementia (p = 0.009). Standardised mortality ratios demonstrated a 5.9× increased risk of death for those with HD compared to the general population. CONCLUSIONS: This is the first study to examine risk factors of mortality in HD in an Australian cohort. Median survival in our cohort is consistent with previous studies in HD, and markedly reduced compared to the general Australian population. CAG repeat length was not associated with mortality suggesting that non-genetic factors contribute to mortality status and warrant further investigation.


Subject(s)
Huntington Disease , Humans , Middle Aged , Adult , Huntington Disease/epidemiology , Huntington Disease/genetics , Retrospective Studies , Australia/epidemiology , Cohort Studies , Risk Factors
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