SII 在预测心力衰竭患者死亡率中的价值。
The Value of SII in Predicting the Mortality of Patients with Heart Failure.
机构信息
Department of Cardiovascular Disease, Second Affiliated Hospital of Xi'an Jiaotong University, 710000, China.
Department of Cardiology, Meishan Brach of the Third Affiliated Hospital, Yanan University School of Medical, 620000, China.
出版信息
Dis Markers. 2022 May 19;2022:3455372. doi: 10.1155/2022/3455372. eCollection 2022.
BACKGROUND
The main purpose of this study was to explore the predictive value of the systemic immune inflammation index (SII), a novel clinical marker, in heart failure (HF) patients.
METHODS
Critically ill patients with HF were identified from the Medical Information Mart for Intensive Care III (MIMIC III) database. Patients were divided into three groups according to tertiles of SII (group 1, group 2, group 3). We used Kaplan-Meier curves and Cox proportional hazards regression models to evaluate the association between the SII and all-cause mortality in HF. Subgroup analysis was used to verify the predictive effect of the SII on mortality.
RESULTS
This study included 9107 patients with a diagnosis of HF from the MIMIC III database. After 30, 60, 180, and 365 days of follow-up, 25.60%, 32.10%, 41.30%, and 47.50% of the patients in group 3 had died. Using the Kaplan-Meier curve, we observed that patients with higher SII values had a shorter survival time (log rank < 0.001). The Cox proportional hazards regression model adjusted for all possible confounders and indicated that the higher SII group had a higher mortality (30-day: HR = 1.304, 95%CI = 1.161 - 1.465, 60-day: HR = 1.266, 95% CI = 1.120 - 1.418, 180-day: HR = 1.274, 95%CI = 1.163 - 1.395, and 365-day: HR = 1.255, 95%CI = 1.155 - 1.364).
CONCLUSIONS
SII values could be used as a predictor of prognosis in critically ill patients with HF.
背景
本研究的主要目的是探讨一种新的临床标志物——全身免疫炎症指数（SII）在心力衰竭（HF）患者中的预测价值。
方法
从医疗信息监护 III （MIMIC III）数据库中确定患有 HF 的危重症患者。根据 SII 的三分位数（第 1 组、第 2 组、第 3 组）将患者分为三组。我们使用 Kaplan-Meier 曲线和 Cox 比例风险回归模型评估 SII 与 HF 患者全因死亡率之间的关系。采用亚组分析验证 SII 对死亡率的预测作用。
结果
本研究纳入了 MIMIC III 数据库中诊断为 HF 的 9107 例患者。在 30、60、180 和 365 天的随访后，第 3 组中 25.60%、32.10%、41.30%和 47.50%的患者死亡。Kaplan-Meier 曲线显示，SII 值较高的患者生存时间较短（对数秩检验<0.001）。Cox 比例风险回归模型调整了所有可能的混杂因素，表明 SII 较高组的死亡率更高（30 天：HR=1.304，95%CI=1.161-1.465；60 天：HR=1.266，95%CI=1.120-1.418；180 天：HR=1.274，95%CI=1.163-1.395；365 天：HR=1.255，95%CI=1.155-1.364）。
结论
SII 值可作为危重症 HF 患者预后的预测指标。
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