Department of Cardiology, Zhongda Hospital, Southeast University, Nanjing, China.
School of Medicine, Southeast University, Nanjing, China.
BMC Cardiovasc Disord. 2022 Jul 7;22(1):308. doi: 10.1186/s12872-022-02745-z.
Inflammation plays a critical role in acute myocardial infarction (AMI). Recent studies have shown the value of hematologic indicators in MI risk stratification and prognostic assessment. However, the association between lymphocyte-to-monocyte ratio (LMR) and the long-term mortality of critically ill MI patients remains unclear.
Clinical data were extracted from the Medical Information Mart for Intensive Care III database. Patients diagnosed with AMI on admission in the intensive care units were include. The optimal cutoff value of LMR was determined by X-tile software. The Cox proportional hazard model was applied for the identification of independent prognostic factors of 1-year mortality and survival curves were estimated using the Kaplan-Meier method. In order to reduce selection bias, a 1:1 propensity score matching (PSM) method was performed.
A total of 1517 AMI patients were included in this study. The cutoff value for 1-year mortality of LMR determined by X-Tile software was 3.00. A total of 534 pairs of patients were matched after PSM. Multivariate analysis (HR = 1.369, 95%CI 1.110-1.687, P = 0.003) and PSM subgroups (HR = 1.299, 95%CI 1.032-1.634, P = 0.026) showed that 1-year mortality was significantly higher in patients with LMR < 3.00 than patients with LMR ≥ 3.00 in Cox proportional hazard models. The survival curves showed that patients with LMR < 3.00 had a significantly lower 1-year survival rate before (63.83 vs. 81.03%, Log rank P < 0.001) and after PSM (68.13 vs. 74.22%, Log rank P = 0.041).
In this retrospective cohort analysis, we demonstrated that a low admission LMR (< 3.00) was associated with a higher risk of 1-year mortality in critically ill patients with AMI.
炎症在急性心肌梗死(AMI)中起着关键作用。最近的研究表明,血液学指标在 MI 风险分层和预后评估中具有价值。然而,淋巴细胞与单核细胞比值(LMR)与危重症 AMI 患者的长期死亡率之间的关系尚不清楚。
从 Medical Information Mart for Intensive Care III 数据库中提取临床数据。纳入在重症监护病房入院时被诊断为 AMI 的患者。通过 X-tile 软件确定 LMR 的最佳截断值。应用 Cox 比例风险模型确定 1 年死亡率的独立预后因素,并使用 Kaplan-Meier 方法估计生存曲线。为了减少选择偏倚,进行了 1:1 倾向评分匹配(PSM)。
本研究共纳入 1517 例 AMI 患者。X-tile 软件确定的 LMR 预测 1 年死亡率的截断值为 3.00。PSM 后共匹配 534 对患者。多变量分析(HR=1.369,95%CI 1.110-1.687,P=0.003)和 PSM 亚组(HR=1.299,95%CI 1.032-1.634,P=0.026)表明,在 Cox 比例风险模型中,LMR<3.00 的患者 1 年死亡率明显高于 LMR≥3.00 的患者。生存曲线显示,LMR<3.00 的患者在未进行 PSM 前(63.83%比 81.03%,Log rank P<0.001)和 PSM 后(68.13%比 74.22%,Log rank P=0.041)1 年生存率明显较低。
在这项回顾性队列分析中,我们表明,入院时低 LMR(<3.00)与危重症 AMI 患者 1 年死亡率风险升高相关。