1.中山大学附属第三医院心内科,广东 广州 510630
2.中山大学附属第三医院肾内科,广东 广州 510630
汤磊乐,第一作者,研究方向:慢性肾脏病、冠状动脉粥样硬化性心脏病,E-mail:158968413@qq.com
收稿:2025-09-02,
修回:2025-10-12,
录用:2025-11-06,
纸质出版:2025-11-20
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汤磊乐,康剑豪,李少敏等.全身免疫炎症指数对非透析慢性肾脏病进展的预测作用[J].中山大学学报(医学科学版),2025,46(06):1041-1049.
TANG Leile,KANG Jianhao,LI Shaomin,et al.Predictive Role of the Systemic Immune Inflammation Index in the Progression of Non-Dialysis Chronic Kidney Disease[J].Journal of Sun Yat-sen University(Medical Sciences),2025,46(06):1041-1049.
汤磊乐,康剑豪,李少敏等.全身免疫炎症指数对非透析慢性肾脏病进展的预测作用[J].中山大学学报(医学科学版),2025,46(06):1041-1049. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2025.0614.
TANG Leile,KANG Jianhao,LI Shaomin,et al.Predictive Role of the Systemic Immune Inflammation Index in the Progression of Non-Dialysis Chronic Kidney Disease[J].Journal of Sun Yat-sen University(Medical Sciences),2025,46(06):1041-1049. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2025.0614.
目的
2
本研究旨在探讨全身免疫炎症指数(SII)与肾功能之间的关系,并评估其对非透析慢性肾脏病(CKD)患者肾功能恶化风险的预测价值。
方法
2
纳入确诊为CKD的成年非透析患者。SII计算算式为外周血中性粒细胞计数(×10⁹/L)× 血小板计数(×10⁹/L)/淋巴细胞计数(×10⁹/L)。采用logistic回归与Cox回归模型,系统评估SII水平与CKD之间的关联。
结果
2
在该研究队列中,共有244例(17.2%)患者出现CKD进展。随着SII水平升高,晚期CKD及其进展的患病率亦随之增加,且差异有统计学意义;与此同时,估算肾小球滤过率(eGFR)和血红蛋白水平下降,而血清肌酐、C-反应蛋白及脂蛋白(a)水平则呈上升趋势。校正混杂因素后,SII 的自然对数(lnSII)与晚期 CKD 独立相关[OR=1.85,95% CI(1.46,2.35),
P
<0.01]。Cox 比例风险模型进一步显示,SII 是 CKD 进展的独立预测因子[校正后 HR=1.35,95% CI(1.09,1.67),
P
<0.01]。亚组分析提示,SII、性别与高血压在 CKD 进展中存在交互作用具有统计学意义。
结论
2
我们的研究结果挖掘了SII与肾功能之间的密切关联,并提示SII可作为CKD进展的潜在预测指标。
Objective
2
Our study seeks to investigate the connection between systemic immune inflammatory index and renal function, as well as to assess its predictive capacity for the deterioration of renal function in chronic kidney disease patients with non-dialysis.
Methods
2
Adult non-dialyzing patients diagnosed with CKD were included. The computation of SII was calculated as the product of the peripheral blood neutrophil count (×10⁹/L) and platelet count (×10⁹/L), divided by the lymphocyte count (×10⁹/L). The logistic and Cox regression models were employed to scrutinize the linkage between SII levels and CKD.
Results
2
Out of the cohort, a significant portion of patients, numbering 244, which constitutes 17.2%, experienced progression of CKD. A notable upsurge in SII corresponded with an increased prevalence of advanced CKD and its progression, with significant difference. This trend was mirrored by a decline in the estimated glomerular filtration rate and hemoglobin levels, while serum creatinine, C-reactive protein, and lipoprotein(a) levels were on the rise. After adjusting for multiple variables, the natural logarithm of SII exhibited an independent association with advanced CKD [OR=1.85 95% CI(1.46,2.35),
P
<0.01]. Furthermore, Cox proportional hazards model
analysis revealed that SII acted as an independent predictor for CKD progression [adjusted HR= 1.35, 95% CI(1.09,1.67),
P
< 0.01]. Subgroup analysis indicated a significant interaction among SII, gender, and hypertension concerning CKD progression.
Conclusion
2
Our findings underscore the robust relationship between SII and renal function, positioning SII as a potential forecaster for the progression of CKD.
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