Li Yihao, Huang Huansen, Zhou Hongbin
Department of Anesthesiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Front Cardiovasc Med. 2024 Oct 24;11:1430776. doi: 10.3389/fcvm.2024.1430776. eCollection 2024.
To investigate whether postoperative systemic immune-inflammation index (SII) is associated with acute kidney injury (AKI) after cardiac surgery.
We included patients undergoing cardiac surgery from the Medical Information Mart for Intensive Care-Ⅳ database to conduct a retrospective cohort study. The outcomes are AKI, severe AKI, and 30-day mortality after cardiac surgery. Analytical techniques including receiver operating characteristic (ROC) analysis, restricted cubic splines (RCS), and multivariable logistic regression were used to assess the association between SII and outcomes. Sensitivity analyses using inverse probability of treatment weighting (IPTW) and the E-value were conducted to validate the stability of the results.
3,799 subjects were included in this study. We used ROC to calculate an optimal cutoff value for predicting AKI after cardiac surgery, and subsequently patients were divided into two groups based on the cutoff value (Low SII: ≤ 949 × 10/L; High SII: > 949 × 10/L). ROC showed moderately good performance of SII for predicting AKI, while RCS also indicated a positive association between SII and AKI. The multivariate logistic analysis further affirmed the heightened risk of AKI in patients in the high SII group (OR, 5.33; 95%CI, 4.34-6.53; < 0.001). Similar associations were observed between SII and severe AKI. Sensitivity and subgroup analyses indicated the robustness of the findings.
Elevated SII was independently associated with a higher risk of AKI in adults undergoing cardiac surgery. The potential causal relationship between postoperative SII and cardiac surgery associated AKI warrants prospective research.
探讨术后全身免疫炎症指数(SII)是否与心脏手术后急性肾损伤(AKI)相关。
我们纳入了重症监护医学信息集市-Ⅳ数据库中接受心脏手术的患者,进行回顾性队列研究。结局指标为心脏手术后的AKI、严重AKI和30天死亡率。采用受试者工作特征(ROC)分析、限制性立方样条(RCS)和多变量逻辑回归等分析技术来评估SII与结局之间的关联。使用治疗权重逆概率(IPTW)和E值进行敏感性分析,以验证结果的稳定性。
本研究共纳入3799名受试者。我们使用ROC计算预测心脏手术后AKI的最佳截断值,随后根据该截断值将患者分为两组(低SII组:≤949×10⁹/L;高SII组:>949×10⁹/L)。ROC显示SII预测AKI的性能中等良好,而RCS也表明SII与AKI之间存在正相关。多变量逻辑分析进一步证实了高SII组患者发生AKI的风险增加(比值比,5.33;95%置信区间,4.34-6.53;P<0.001)。在SII与严重AKI之间也观察到类似的关联。敏感性和亚组分析表明研究结果具有稳健性。
SII升高与接受心脏手术的成年人发生AKI的较高风险独立相关。术后SII与心脏手术相关AKI之间的潜在因果关系值得进行前瞻性研究。