Clinical Patterns of Dyslipidemia in Patients With Initial-Treatment and Drug-Naïve Schizophrenia

初治和未接受药物治疗的精神分裂症患者的血脂异常临床模式

阅读:1

Abstract

BACKGROUND: Schizophrenia (SCZ) is a common, chronic, severe mental disorder that is often accompanied by dyslipidemia and linked to decreased life expectancy. The prevalence of dyslipidemia among initial-treatment and drug-naïve (ITDN) patients with SCZ and the correlates influencing its occurrence and severity were determined in this study. METHODS: Demographic and clinical data including blood pressure, blood cell count, renal function, lipid profile, fasting glucose level, and thyroid function were collected from the 668 patients with ITDN SCZ included in this study. Psychopathology and illness severity were evaluated using the Positive and Negative Symptom Scale and the Clinical Global Impression Scale - Severity of Illness, respectively. RESULTS: The prevalence of dyslipidemia was 33.53% (224/668) and the influencing factors included higher education attainment (B = 0.43, p = 0.018, odds ratio [OR] = 1.54) and elevated systolic blood pressure (SBP) (B = 0.04, p < 0.001, OR = 1.04), which were predictive factors. Conversely, having a spouse (B = -0.40, p = 0.026, OR = 0.67), higher red blood cell counts (B = -0.77, p < 0.001, OR = 0.47), and higher free tetraiodothyronine (FT(4)) levels (B = -0.06, p = 0.022, OR = 0.94) were protective factors. Specifically, elevated SBP (B = 0.01, t = 2.71, p = 0.007, 95% confidence interval [CI] = 0.00-0.01) predicted dyslipidemia severity, whereas higher FT(4) levels (B = -0.02, t = -2.45, p = 0.015, 95% CI = -0.04-0.00) had a protective effect. CONCLUSIONS: Our study provides valuable insights into the clinical characteristics of dyslipidemia in ITDN SCZ patients. The identified factors influencing dyslipidemia occurrence and severity could serve as potential bioindicators for its prevention and intervention in clinical settings.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。