稳定型精神分裂症患者肾功能与认知障碍的关系:一项多中心横断面研究。

IF 3.4 2区 医学 Q2 PSYCHIATRY
Cong Cao, Xuehao Xu, Sumei Shen, Xiyan Bao, Fenglan Wang, Weishan Sun, Tao Gu, Lingling Hua, Chengbing Huang, Zhenlin Chen, Xuebin Qu, Aihua Zhou
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引用次数: 0

摘要

目的:临床稳定的精神分裂症住院患者普遍存在认知功能障碍并伴有肾功能异常,但认知功能与肾功能之间的关系尚不清楚。方法:本研究纳入216例临床稳定型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。采用中文简短认知测验(C-BCT)评估认知功能。分析临床稳定型精神分裂症住院患者肾功能与处理速度、注意力、工作记忆和执行功能的相关性。构建协变量调整线性和多变量logistic回归模型来确定肾功能与认知功能之间的关系。采用ROC分析进一步探讨肾功能指标在评估稳定型精神分裂症住院患者中的预测作用。结果:不同认知障碍严重程度的临床稳定型精神分裂症住院患者血清胱抑素C (CysC)、β2-微球蛋白(β2-MG)和尿酸(UA)水平存在显著差异。相关分析显示,稳定型精神分裂症住院患者血清CysC水平与C-BCT评分存在显著相关性(β = 0.174, 95%CI:0.265 ~ 1.720, p = 0.008)。处理速度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)的相关性特别强。二元logistic回归分析进一步证实CysC可能是稳定型精神分裂症患者认知功能障碍加重的危险因素(OR = 12.741, 95%CI: 1.424 ~ 114.005, p = 0.023)。血清CysC、β2-MG、UA联合检测稳定型精神分裂症住院患者认知功能的AUC面积为0.71,敏感性和特异性分别为79.5%和60.5%,预测价值优于独立诊断。结论:稳定型精神分裂症住院患者血清CysC水平与认知功能障碍严重程度呈正相关,尤其与信息处理速度和执行功能显著相关。CysC可能是加重这些患者认知障碍的危险因素。血清CysC、β2-MG和UA的联合诊断价值在鉴定稳定型精神分裂症认知障碍方面具有中等准确性。这些数据支持CysC作为稳定型精神分裂症认知功能生物标志物的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship between renal function and cognitive impairment in patients with stable schizophrenia: a multicenter cross-sectional study.

Objective: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

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来源期刊
BMC Psychiatry
BMC Psychiatry 医学-精神病学
CiteScore
5.90
自引率
4.50%
发文量
716
审稿时长
3-6 weeks
期刊介绍: BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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