Cao Cong, Xu Xuehao, Shen Sumei, Bao Xiyan, Wang Fenglan, Sun Weishan, Gu Tao, Hua Lingling, Huang Chengbing, Chen Zhenlin, Qu Xuebin, Zhou Aihua
Department of Psychiatry, The Fourth People's Hospital of Yancheng, Yancheng, 224003, China.
Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
BMC Psychiatry. 2025 May 15;25(1):494. doi: 10.1186/s12888-025-06952-8.
Clinically stable inpatients with schizophrenia have generalized impairment of cognitive function along with abnormalities in renal function, but the link between cognitive function and renal function has been underexplored.
This study enrolled 216 hospitalized patients with clinically stable schizophrenia. Demographic and renal function parameters were collected from electronic medical records. Cognitive function was assessed using the Chinese Brief Cognitive Test (C-BCT). To analyze the correlations between renal function and processing speed, attention, working memory, and executive function in patients hospitalized with clinically stable schizophrenia. Covariate-adjusted linear and multivariate logistic regression models were constructed to determine the relationship between renal function and cognitive function. ROC analysis was used to further investigate the prediction of renal function indices in assessing stable schizophrenia inpatients.
Significant variations in serum Cystatin C (CysC), β2-microglobulin (β2-MG), and uric acid (UA) levels were observed among hospitalized patients with clinically stable schizophrenia across different cognitive impairment severities. Correlation analysis revealed a significant association between serum CysC levels and C-BCT scores in hospitalized patients with stable schizophrenia (β = 0.174, 95%CI:0.265 ~ 1.720, p = 0.008). Particularly strong correlations were observed with processing speed T-scores (β = -0.200, 95%CI: -33.446 ~ -7.230, p = 0.03) and executive function T-scores (β = -0.171, 95%CI: -17.277 ~ -2.082, p = 0.013). Binary logistic regression analysis further confirmed that CysC may be a risk factor for exacerbation of cognitive impairment in stable schizophrenia (OR = 12.741, 95%CI: 1.424 ~ 114.005, p = 0.023). The combined serum CysC, β2-MG, and UA test for cognitive function in stable schizophrenia inpatients had an AUC area of 0.71, with a sensitivity and specificity of 79.5% and 60.5%, respectively, and a predictive value superior to that of an independent diagnosis.
In hospitalized patients with stable schizophrenia, serum CysC levels are positively correlated with the severity of cognitive impairment, particularly showing significant associations with information processing speed and executive function. CysC may be a risk factor for exacerbating cognitive impairment in these patients. The combined diagnostic value of serum CysC, β2-MG, and UA demonstrated moderate accuracy in identifying stable schizophrenia cognitive impairment. These data support the potential of CysC as a biomarker of cognitive function in stable schizophrenia.
临床病情稳定的精神分裂症住院患者存在认知功能的普遍损害以及肾功能异常,但认知功能与肾功能之间的联系尚未得到充分研究。
本研究纳入216例临床病情稳定的精神分裂症住院患者。从电子病历中收集人口统计学和肾功能参数。使用中文版简易认知测试(C-BCT)评估认知功能。分析临床病情稳定的精神分裂症住院患者肾功能与加工速度、注意力、工作记忆和执行功能之间的相关性。构建协变量调整的线性和多变量逻辑回归模型以确定肾功能与认知功能之间的关系。采用受试者工作特征(ROC)分析进一步研究肾功能指标在评估病情稳定的精神分裂症住院患者中的预测作用。
在不同认知障碍严重程度的临床病情稳定的精神分裂症住院患者中,观察到血清胱抑素C(CysC)、β2-微球蛋白(β2-MG)和尿酸(UA)水平存在显著差异。相关性分析显示,病情稳定的精神分裂症住院患者血清CysC水平与C-BCT评分之间存在显著关联(β = 0.174,95%CI:0.265~1.720,p = 0.008)。尤其与加工速度T评分(β = -0.200,95%CI:-33.446~-7.230,p = 0.03)和执行功能T评分(β = -0.171,95%CI:-17.277~-2.082,p = 0.013)之间存在很强的相关性。二元逻辑回归分析进一步证实,CysC可能是病情稳定的精神分裂症患者认知障碍加重的危险因素(OR = 12.741,95%CI:1.424~114.005,p = 0.023)。联合检测血清CysC、β2-MG和UA对病情稳定的精神分裂症住院患者认知功能的曲线下面积(AUC)为0.71,灵敏度和特异度分别为79.5%和60.5%,预测价值优于单项诊断。
在病情稳定的精神分裂症住院患者中,血清CysC水平与认知障碍严重程度呈正相关,尤其与信息加工速度和执行功能存在显著关联。CysC可能是这些患者认知障碍加重的危险因素。血清CysC、β2-MG和UA联合诊断在识别病情稳定的精神分裂症患者认知障碍方面具有中等准确性。这些数据支持CysC作为病情稳定的精神分裂症患者认知功能生物标志物的潜力。