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Preliminary data on the validity and reliability of the Malay version of the NUCOG

Chandrasekaran PK, Walterfang MA, Velakoulis D

Asian J Psychiatr, 2010 Dec;3(4):186-9.
PMID: 23050885 DOI: 10.1016/j.ajp.2010.10.001

The Neuropsychiatry Unit Cognitive Screening Instrument (NUCOG) provides more detailed screening of cognition than most commonly available tools and was selected for translation into and validation in Bahasa Malaysia (Malay language). It was first translated to Malay, then back-translated to English until changes made were comparable to the original English version. The Malay-translated NUCOG and the Malay version of the Mini-Mental State Examination (MMSE) were delivered to Malay-speaking subjects (n=24). The Malay NUCOG version was then validated by correlating scores against the Malay version of the MMSE and the data tested for reliability of the tool. The Malay version of the NUCOG proved to be a valid (r=0.98, p<0.001) and internally consistent (Cronbach's α=0.76) tool to assess cognitive function and this multi-dimensional cognitive screening instrument is likely to be valuable in the cognitive assessment of neuropsychiatric patients in Malay.
Psychometric properties of Malay neuropsychiatry unit cognitive assessment tool among Alzheimer's disease patients in comparison to Malay Montreal Cognitive Assessment

Thong KS, Chee KY, Ng CG, Walterfang M, Velakoulis D

Asia Pac Psychiatry, 2016 Sep;8(3):238-40.
PMID: 26615809 DOI: 10.1111/appy.12227

This study aims to establish psychometric properties of the Malay Neuropsychiatry Unit Cognitive Assessment Tool (Malay NuCOG) in Alzheimer's disease. NuCOG was translated to Malay language and compared with Montreal Cognitive Assessment Tool on 80 individuals. The Malay NuCOG showed good internal consistency and reliability (Cronbach's alpha = 0.895). It demonstrated 100% sensitivity and 87.5% specificity at the cutoff score of 78.50/100. The Malay NuCOG is a valid and reliable cognitive instrument that is sensitive and specific for the detection of dementia and has clinical advantages in its ability to examine individual cognitive domains.
Depression preceding Marchiafava-Bignami disease

Zhen NB, Gaillard F, Walterfang M, Mohd Zain NR, Yoon CK

Aust N Z J Psychiatry, 2021 02;55(2):224-225.
PMID: 32720512 DOI: 10.1177/0004867420945786
Fulltext Plasma and CSF neurofilament light chain distinguish neurodegenerative from primary psychiatric conditions in a clinical setting

Eratne D, Kang MJY, Lewis C, Dang C, Malpas CB, Keem M, et al.

Alzheimers Dement, 2024 Nov;20(11):7989-8001.
PMID: 39369278 DOI: 10.1002/alz.14278

INTRODUCTION: People with neurodegenerative disorders (ND) frequently face diagnostic delay and misdiagnosis. We investigated blood and cerebrospinal fluid (CSF) neurofilament light chain (NfL) to distinguish ND from primary psychiatric disorders (PPD), a common challenge in clinical settings.
METHODS: Plasma and CSF NfL levels were measured and compared between groups, adjusting for age, sex, and weight.
RESULTS: A total of 337 participants were included: 136 ND, 77 PPD, and 124 Controls. Plasma NfL was 2.5-fold elevated in ND compared to PPD and had strong diagnostic performance (area under the curve, [AUC]: 0.86, 81%/85% specificity/sensitivity) that was comparable to CSF NfL (2-fold elevated, AUC: 0.89, 95%/71% specificity/sensitivity). Diagnostic performance was especially strong in younger people (40-
Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Wu Y, Levis B, Sun Y, Krishnan A, He C, Riehm KE, et al.

J Psychosom Res, 2020 02;129:109892.
PMID: 31911325 DOI: 10.1016/j.jpsychores.2019.109892

OBJECTIVE: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D).
METHODS: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores.
RESULTS: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)).
CONCLUSION: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.