Risk Model Assessment in Early-Onset and Adult-Onset Schizophrenia Using Neurological Soft Signs

doi:10.3390/jcm8091443

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Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/32640

Title:	Risk Model Assessment in Early-Onset and Adult-Onset Schizophrenia Using Neurological Soft Signs
Authors:	Chen, Bao-Yu Tsai, I-Ning Lin, Jin-Jia Ming-Kun Lu(呂明坤) Tan, Hung-Pin Jang, Fong-Lin Gan, Shu-Ting Lin, Sheng-Hsiang
Contributors:	Natl Cheng Kung Univ, Coll Med, Inst Clin Med, 35 Xiaodong Rd Chi Mei Med Ctr, Dept Psychiat Jianan Mental Hosp, Dept Hlth Chia Nan Univ Pharm & Sci, Dept Appl Life Sci & Hlth Natl Cheng Kung Univ, Coll Med, Dept Environm & Occupat Hlth Natl Cheng Kung Univ, Coll Med, Dept Publ Hlth Natl Cheng Kung Univ, Natl Cheng Kung Univ Hosp, Coll Med, Biostat Consulting Ctr
Keywords:	schizophrenia endophenotype neurodevelopmental markers neurological soft signs familial aggregation recurrence risk ratio
Date:	2019-09
Issue Date:	2020-07-29 13:53:19 (UTC+8)
Publisher:	MDPI
Abstract:	Age at onset is one of the most important clinical features of schizophrenia that could indicate greater genetic loadings. Neurological soft signs (NSS) are considered as a potential endophenotype for schizophrenia. However, the association between NSS and different age-onset schizophrenia still remains unclear. We aimed to compare risk model in patients with early-onset schizophrenia (EOS) and adult-onset schizophrenia (AOS) with NSS. This study included 262 schizophrenia patients, 177 unaffected first-degree relatives and 243 healthy controls. We estimated the discriminant abilities of NSS models for early-onset schizophrenia (onset age < 20) and adult-onset schizophrenia (onset age >= 20) using three data mining methods: artificial neural networks (ANN), decision trees (DT) and logistic regression (LR). We then assessed the magnitude of NSS performance in EOS and AOS families. For the four NSS subscales, the NSS performance were greater in EOS and AOS families compared with healthy individuals. More interestingly, there were significant differences found between patients' families and control group in the four subscales of NSS. These findings support the potential for neurodevelopmental markers to be used as schizophrenia vulnerability indicators. The NSS models had higher discriminant abilities for EOS than for AOS. NSS were more accurate in distinguishing EOS patients from healthy controls compared to AOS patients. Our results support the neurodevelopmental hypothesis that EOS has poorer performance of NSS than AOS. Hence, poorer NSS performance may be imply trait-related NSS feature in EOS.
Relation:	Journal of Clinical Medicine, v.8, n.9, 1443
Appears in Collections:	[Dept. of Life and Health Science] Periodical Articles

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