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    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
    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 Applied Life Science and Health] Periodical Articles

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