Mao Feng-le, He Xia, Huang Xia-Lian, Cheng Yue-Ming, Qin Fu-Li, Wang Yan-Qiu
School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Affiliated Sichuan Provincial Rehabilitation Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Front Neurol. 2025 Jan 15;15:1469152. doi: 10.3389/fneur.2024.1469152. eCollection 2024.
The predictive role of the lymphocyte-associated inflammation index in post-stroke cognitive impairment (PSCI) remains controversial. Therefore, we performed an updated meta-analysis to update the evidence.
This meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Six databases were systematically searched from their inception to May 5, 2024. Two investigators independently conducted literature screening and data extraction for the included studies. Two investigators independently assessed the quality of the included studies using the Newcastle-Ottawa Scale (NOS). Combined effect sizes were calculated using weighted mean difference (WMD) or standardized mean difference (SMD) with 95% confidence intervals (CIs). Heterogeneity was tested using the chi-square (χ2) test (Cochran's Q) and index of inconsistency ( ), Publication bias was assessed using funnel plots and Egger's regression test.
This systematic review included a total of 16 studies, encompassing 3,406 patients. Meta-analysis revealed that neutrophil-to-lymphocyte ratio (NLR) levels were significantly higher in the PSCI group compared to the non-PSCI group (WMD: 1.12; 95% CI: 0.85, 1.40; < 0.00001). Similarly, the platelet-to-lymphocyte ratio (PLR) levels were significantly higher in the PSCI group compared to the non-PSCI group (WMD: 16.80; 95% CI: 4.30, 29.29; = 0.008). However, there was no statistically significant difference between the two groups concerning hemoglobin, albumin, lymphocyte, and platelet (HALP) scores (WMD: -12.78; 95% CI: -25.95, 0.38; = 0.06) and lymphocyte count (WMD: -0.13; 95% CI: -0.34, 0.07; = 0.20).
Increased levels of PLR and NLR are strongly associated with the PSCI, which may serve as an effective tool for predicting PSCI. However, there is insufficient evidence to support a direct relationship between HALP scores, lymphocyte count, and PSCI.
https://www.crd.york.ac.uk/prospero/, identifier CRD42023462232.
淋巴细胞相关炎症指数在卒中后认知障碍(PSCI)中的预测作用仍存在争议。因此,我们进行了一项更新的荟萃分析以更新证据。
本荟萃分析按照系统评价和荟萃分析的首选报告项目(PRISMA)指南进行。对六个数据库从其创建至2024年5月5日进行了系统检索。两名研究者独立对纳入研究进行文献筛选和数据提取。两名研究者使用纽卡斯尔-渥太华量表(NOS)独立评估纳入研究的质量。使用加权均数差(WMD)或标准化均数差(SMD)及95%置信区间(CI)计算合并效应量。使用卡方(χ2)检验( Cochr an's Q)和不一致指数( )检验异质性,使用漏斗图和Egger回归检验评估发表偏倚。
本系统评价共纳入16项研究,涉及3406例患者。荟萃分析显示,与非PSCI组相比,PSCI组的中性粒细胞与淋巴细胞比值(NLR)水平显著更高(WMD:1.12;95%CI:0.85,1.40; <0.00001)。同样,与非PSCI组相比,PSCI组的血小板与淋巴细胞比值(PLR)水平显著更高(WMD:16.80;95%CI:4.30,29.29; =0.008)。然而,两组在血红蛋白、白蛋白、淋巴细胞和血小板(HALP)评分(WMD:-12.78;95%CI:-25.95,0.38; =0.06)和淋巴细胞计数(WMD:-0.13;95%CI:-0.34,0.07; =0.20)方面无统计学显著差异。
PLR和NLR水平升高与PSCI密切相关,这可能作为预测PSCI的有效工具。然而,没有足够证据支持HALP评分、淋巴细胞计数与PSCI之间存在直接关系。