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| 血清巨噬细胞炎性蛋白-1α、中性粒细胞与淋巴细胞计数比值与肾移植受者术后肺部感染风险的关系分析 |
| Analysis of the Relationship Between Serum Macrophage Inflammatory Protein-1α, Neutrophil to Lymphocyte Count Ratio and the Risk of Pulmonary Infection After Renal Transplantation |
| 投稿时间：2024-06-05 修订日期：2024-06-05 |
| DOI： |
| 中文关键词: 肾移植 肺部感染 巨噬细胞炎性蛋白-1α 中性粒细胞与淋巴细胞计数比值 |
| 英文关键词: Renal transplantation Pulmonary infection Macrophage inflammatory protein-1α Neutrophil to lymphocyte count ratio |
| 基金项目:广西壮族自治区卫生健康委员会自筹经费科研课题项目（Z20200653） |
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| 中文摘要: |
| 目的 分析血清巨噬细胞炎性蛋白-1α（MIP-1α）、外周血中性粒细胞与淋巴细胞计数比值（NLR）与肾移植受者术后肺部感染风险的关系。方法 选择2021年3月至2023年1月于广西医科大学第二附属医院接受肾移植的308例患者，术后随访1年，按照是否发生肺部感染分为未感染组、感染组，对比两组血清MIP-1α、外周血NLR。多因素logistic回归分析影响术后肺部感染发生的危险因素，受试者工作特征（ROC）曲线分析血清MIP-1α、外周血NLR预测肾移植受者术后肺部感染发生风险的价值。结果 308例肾移植受者术后1年肺部感染发生率为17.86%。感染组血清MIP-1α、外周血NLR比未感染组高（P＜0.05）。多因素logistic回归发现，肾移植受者术后肺部感染的独立危险因素为MIP-1α升高、NLR升高、PCT升高、有吸烟史（P＜0.05）。ROC曲线发现，血清MIP-1α、外周血NLR及联合预测肾移植受者术后肺部感染的ROC曲线下面积（AUC）为0.876、0.805、0.940。结论 肾移植受者血清MIP-1α及外周血NLR上升会增加术后肺部感染发生风险，二者联合可有效预测肾移植受者术后1年内肺部感染的发生。 |
| 英文摘要: |
| Objective To analyze the relationship between serum macrophage inflammatory protein-1α (MIP-1α), peripheral blood neutrophil to lymphocyte count ratio (NLR) and the risk of pulmonary infection after renal transplantation. Methods 308 patients who underwent renal transplantation in The Second Affiliated Hospital of Guangxi Medical University from March 2021 to January 2023 were selected, and followed up for 1 year, patients were divided into uninfected group and infected group according to whether pulmonary infection occurred, serum MIP-1α and peripheral blood NLR were compared between two groups. The risk factors affecting the occurrence of postoperative pulmonary infection were analyzed by multivariate logistic regression analysis, the value of serum MIP-1α and peripheral blood NLR in predicting the risk of postoperative pulmonary infection in renal transplant recipients were analyzed by receiver operating characteristic (ROC) curve. Results The incidence of pulmonary infection in 308 renal transplant recipients was 17.86% at 1 year after operation. The serum MIP-1α and peripheral blood NLR in infected group were higher than those in uninfected group (P<0.05). Multivariate logistic regression showed that, the independent risk factors for postoperative pulmonary infection in renal transplant recipients were increased MIP-1α, increased NLR, increased PCT, and smoking history (P<0.05). ROC curve showed that, the area under the ROC curve (AUC) of serum MIP-1α, peripheral blood NLR and combined prediction of postoperative pulmonary infection in renal transplant recipients was 0.876, 0.805 and 0.940, respectively. Conclusion The increase of serum MIP-1α and peripheral blood NLR in renal transplant recipients will increase the risk of postoperative pulmonary infection, the combination of the two can effectively predict the occurrence of pulmonary infection in renal transplant recipients within 1 year after operation. |
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