To investigate the correlation between the neutrophil-to-lymphocyte ratio (NLR), high-sensitivity C-reactive protein (hs-CRP), and transfusion-related adverse reactions. Patients who received transfusion therapy (including plasma, red blood cells, platelets, and cryoprecipitate) at our hospital from May 2020 to December 2024 were enrolled. Among them, 55 patients who experienced transfusion-related adverse reactions were included in the observation group. According to a 1∶2 matching ratio, 110 patients from the same (or nearby) departments during the same period who received the same blood products but did not experience transfusion-related adverse reactions were selected as the control group. General clinical data, complete blood count parameters, and hs-CRP levels were compared between the two groups. Univariate and multivariate logistic regression analyses were used to identify risk factors for transfusion-related adverse reactions and construct a logistic regression prediction model. Receiver operating characteristic (ROC) curves were constructed, and the area under the curve (AUC) was calculated to evaluate the predictive efficacy of individual and combined risk factors. The differences in white blood cell (WBC), neutrophil (Neu), monocyte (Mon), neutrophil-to-lymphocyte ratio (NLR), neutrophil-monocyte ratio (NMR), high-sensitivty C-reactive protein (hs-CRP), lymphocyte-monocyte ratio (LMR) between the observation group and the control group were statistically significant (P<0.05), while no statistically significant differences were observed among the other indicators (P>0.05). Logistic regression analysis showed that NLR(OR=1.220, 95%CI:1.064-1.398) and hs-CRP(OR=1.056, 95%CI:1.035-1.076） were independent risk factors for transfusion-related adverse reactions. ROC curve analysis demonstrated that the AUC for predicting transfusion-related adverse reactions using NLR, hs-CRP, and their combination were 0.827, 0.891, and 0.924, respectively. The corresponding sensitivities were 78.0%, 80.0%, and 81.8%, and the specificities were 75.5%, 85.5%, and 89.1%, respectively. Elevated NLR and hs-CRP levels are associated with a higher risk of transfusion-related adverse reactions, and their combination shows superior predictive value. 外周血中性粒细胞-淋巴细胞比值、超敏C反应蛋白与输血不良反应的相关性. 分析外周血中性粒细胞-淋巴细胞比值（NLR）、超敏C反应蛋白（hs-CRP）与输血不良反应的相关性. 以2020年5月至2024年12月在本院接受输血（血浆、红细胞、血小板及冷沉淀）治疗的患者为研究对象，将其中发生输血不良反应的55例纳入观察组。按照1∶2的比例匹配同期、相同（临近）科室接受同类血制品输注且未发生输血不良反应的患者共110例作为对照组。比较两组的一般资料、全血细胞计数参数、hs-CRP检测结果。通过单因素、多因素二元Logistic回归分析筛选出引起输血不良反应的危险因素，构建Logistic回归预测模型。绘制受试者工作特征（ROC）曲线，计算ROC曲线下面积（AUC），评估危险因素单独及二者联合对输血不良反应的预测效能. 观察组和对照组的白细胞计数（ＷＢＣ）、中性粒细胞计数（Ｎｅｕ）、单核细胞计数（Ｍｏｎ）、中性粒细胞-淋巴细胞比值（NLR）、中性粒细胞-单核细胞比值（ＮＭＲ）、超敏Ｃ反应蛋白（ｈｓ-ＣＲＰ）、淋巴细胞－单核细胞比值（ＬＭＲ）差异有统计学意义（P<0.05），其余指标组间比较无统计学差异（P>0.05）。Logistic回归分析发现，NLR（OR=1.220,95%CI:1.064-1.398）和hs-CRP（OR=1.056,95%CI:1.035-1.076）是输血不良反应的独立危险因素。ROC曲线分析显示，NLR、hs-CRP及二者联合预测输血不良反应的AUC分别为0.827、0.891、0.924，灵敏度分别是78.2%、80.0%、81.8%，特异性分别是75.5%、85.5%、89.1. NLR、hs-CRP与输血不良反应发生风险的增加存在显著关联，联合检测具有更高预测价值.
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