Tsehay Binalfew, Shitie Desalegn
Department of Biomedical Sciences, Debre Markos University, Debre Markos, Ethiopia.
Neuropsychiatr Dis Treat. 2020 Oct 28;16:2491-2497. doi: 10.2147/NDT.S275582. eCollection 2020.
Although there are highly precise and advanced diagnostic methods, the etiology and pathophysiology of schizophrenia remain poorly understood. There are several theories about schizophrenia origin, among which the neurodevelopmental theory is widely accepted. Our study aimed to assess minor physical anomalies among schizophrenic patients as putative indices of its developmental origin in North West Ethiopia 2018-2019.
Institutional-based comparative cross-sectional study design was conducted in Debre Markos comprehensive, specialized hospitals in 190 schizophrenic patients, 190 healthy controls, and 190 1st-degree relatives. Data were collected using standard methods, entered into EpiData version 3.1, and exported to SPSS version 24 for analysis. Descriptive data were analyzed using descriptive statistics, and discriminant function analysis was conducted and a value of 0.03 was taken as the cutoff point for prediction of group status of the study samples.
Five hundred seventy study samples, male 375 (65.8%), and female 195 (34.2%), were included in this study. The discriminate function 1 and 2 revealed a significant association between groups and all predictors, accounting for 83.5% and 16.5% of between-group variability, respectively. However, closer analysis of the structure matrix revealed longitudinally furrowed tongue, ≥Five palate ridges, high steeples palate, transversely and randomly furrowed tongue, protruding supraorbital ridge as significant predictors.
Depending on predictor variables in this study, minor physical anomalies can serve as a biomarker for early screening of schizophrenic patients and clue for its developmental origin.
尽管存在高度精确和先进的诊断方法,但精神分裂症的病因和病理生理学仍未得到很好的理解。关于精神分裂症的起源有几种理论,其中神经发育理论被广泛接受。我们的研究旨在评估2018 - 2019年埃塞俄比亚西北部精神分裂症患者的轻微身体异常情况,将其作为精神分裂症发育起源的推定指标。
在德布雷马尔科斯综合专科医院进行了基于机构的比较横断面研究设计,研究对象包括190例精神分裂症患者、190例健康对照者和190例一级亲属。使用标准方法收集数据,录入EpiData 3.1版本,并导出到SPSS 24版本进行分析。描述性数据采用描述性统计进行分析,并进行判别函数分析,将0.03的值作为预测研究样本组状态的截断点。
本研究纳入了570个研究样本,其中男性375例(65.8%),女性195例(34.2%)。判别函数1和2显示组间与所有预测变量之间存在显著关联,分别占组间变异性的83.5%和16.5%。然而,对结构矩阵的进一步分析显示,纵向沟纹舌、≥五条腭嵴、高尖腭、横向和随机沟纹舌、突出的眶上嵴是显著的预测变量。
根据本研究中的预测变量,轻微身体异常可作为精神分裂症患者早期筛查的生物标志物及其发育起源的线索。