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Risk Model Assessment in Early-Onset and Adult-Onset Schizophrenia Using Neurological Soft Signs.
J Clin Med 2019; 8(9)JC

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.

Authors+Show Affiliations

Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, 35, Xiaodong Rd., North Dist., Tainan City 70457, Taiwan.Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, 35, Xiaodong Rd., North Dist., Tainan City 70457, Taiwan.Department of Psychiatry, Chi Mei Medical Center, 901, Zhonghua Rd. Yongkang Dist., Tainan City 71004, Taiwan.Department of Health, Jianan Mental Hospital, 539, Yuzhong Rd., Rende Dist., Tainan City 71742, Taiwan. Department of Applied Life Science and Health, Chia Nan University of Pharmacy and Science, 60, Sec. 1, Erren Rd., Rende Dist., Tainan City 71710, Taiwan.Department of Health, Jianan Mental Hospital, 539, Yuzhong Rd., Rende Dist., Tainan City 71742, Taiwan. Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 35, Xiaodong Rd., North Dist., Tainan City 70457, Taiwan.Department of Psychiatry, Chi Mei Medical Center, 901, Zhonghua Rd. Yongkang Dist., Tainan City 71004, Taiwan.Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, 35, Xiaodong Rd., North Dist., Tainan City 70457, Taiwan.Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, 35, Xiaodong Rd., North Dist., Tainan City 70457, Taiwan. shlin922@mail.ncku.edu.tw. Department of Public Health, College of Medicine, National Cheng-Kung University, 35, Xiaodong Rd., North Dist., Tainan City 70457, Taiwan. shlin922@mail.ncku.edu.tw. Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 35, Xiaodong Rd., North Dist., Tainan City 70457, Taiwan. shlin922@mail.ncku.edu.tw.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31514416

Citation

Chen, Bao-Yu, et al. "Risk Model Assessment in Early-Onset and Adult-Onset Schizophrenia Using Neurological Soft Signs." Journal of Clinical Medicine, vol. 8, no. 9, 2019.
Chen BY, Tsai IN, Lin JJ, et al. Risk Model Assessment in Early-Onset and Adult-Onset Schizophrenia Using Neurological Soft Signs. J Clin Med. 2019;8(9).
Chen, B. Y., Tsai, I. N., Lin, J. J., Lu, M. K., Tan, H. P., Jang, F. L., ... Lin, S. H. (2019). Risk Model Assessment in Early-Onset and Adult-Onset Schizophrenia Using Neurological Soft Signs. Journal of Clinical Medicine, 8(9), doi:10.3390/jcm8091443.
Chen BY, et al. Risk Model Assessment in Early-Onset and Adult-Onset Schizophrenia Using Neurological Soft Signs. J Clin Med. 2019 Sep 11;8(9) PubMed PMID: 31514416.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Risk Model Assessment in Early-Onset and Adult-Onset Schizophrenia Using Neurological Soft Signs. AU - Chen,Bao-Yu, AU - Tsai,I-Ning, AU - Lin,Jin-Jia, AU - Lu,Ming-Kun, AU - Tan,Hung-Pin, AU - Jang,Fong-Lin, AU - Gan,Shu-Ting, AU - Lin,Sheng-Hsiang, Y1 - 2019/09/11/ PY - 2019/07/22/received PY - 2019/08/25/revised PY - 2019/09/09/accepted PY - 2019/9/14/entrez KW - endophenotype KW - familial aggregation KW - neurodevelopmental markers KW - neurological soft signs KW - recurrence risk ratio KW - schizophrenia JF - Journal of clinical medicine JO - J Clin Med VL - 8 IS - 9 N2 - 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. SN - 2077-0383 UR - https://www.unboundmedicine.com/medline/citation/31514416/Risk_Model_Assessment_in_Early-Onset_and_Adult-Onset_Schizophrenia_Using_Neurological_Soft_Signs DB - PRIME DP - Unbound Medicine ER -