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目的:探讨常见实验室指标在不同梗死面积缺血性卒中(IS)患者中的水平变化及其临床应用价值。方法:收集2019年6月至2020年12月在兰州大学第二医院住院的237例IS患者及其入院24 h内实验室指标的基线数据。依据患者梗死面积分为腔隙灶组(n n＝80)和梗死灶组(n n＝157)，比较两组患者实验室指标和临床资料。二元logistic回归用于筛选梗死面积的独立影响因子并建立联合诊断模型，受试者工作特征(ROC)曲线和模型校准图验证各指标的临床应用价值。n 结果:梗死灶组患者的胆固醇(CHO)/HDL、LDL/HDL、中性粒细胞计数、胱抑素C(Cys C)、磷(PHOS)、间接胆红素(IBIL)、LDL、载脂蛋白B(ApoB)、同型半胱氨酸(HCY)、D-二聚体(D-dimer)水平及吸烟、饮酒、超重比例和大动脉狭窄程度均高于腔隙灶组(均n P<0.05)，载脂蛋白AⅠ(ApoAⅠ)/ApoB、ApoAⅠ、COn 2水平均低于腔隙灶组(均n P<0.05)。ApoAⅠ/ApoB、COn 2是梗死面积的独立保护因子(均n P<0.05)，Cys C、PHOS、IBIL是梗死面积的独立危险因子(均n P<0.05)。COn 2、PHOS、IBIL、ApoAⅠ/ApoB、Cys C联合预测模型对梗死面积有较好的预测效能，联合诊断的曲线下面积(AUC)为0.739。n 结论:常见实验室指标与IS梗死面积紧密相关，联合诊断模型效能较好，可为IS的评估预警提供新的依据。“,”Objective:To explore the level changes of common laboratory indexes in patients with ischemic stroke (IS) with different infarct sizes and their clinical application value.Methods:The baseline data of 237 patients hospitalized in Lanzhou University Second Hospital from June 2019 to December 2020 and their laboratory indicators within 24 hours of admission were collected. The patients were divided into lacunar group (n n=80) and infarct group (n n=157) according to the infarct area. The experimental indexes and clinical data of the two groups were compared. Binary logistic regression was used to screen the independent influencing factors of infarct size and establish a joint diagnostic model. The receiver operating characteristic (ROC) curve and model calibration chart were used to verify the clinical application value of each index.n Results:The levels of cholesterol (CHO)/high density lipoprotein (HDL), low density lipoprotein (LDL)/HDL, neutrophil count, Cystatin C (Cys C), phosphorus (PHOS), indirect bilirubin (IBIL), LDL, apolipoprotein (ApoB), homocysteine (HCY), D-dimer, smoking, drinking, overweight and arterial stenosis in the infarct group were higher than those in the lacunar group (all n P<0.05), and the levels of apolipoprotein A Ⅰ (ApoAⅠ)/ApoB, ApoAⅠ and carbon dioxide (COn 2) in the infarct group were lower than those in the lacunar group (all n P<0.05). ApoA Ⅰ/ApoB and COn 2 were independent protective factors of infarct size (all n P<0.05); Cys C, PHOS and IBIL were independent risk factors of infarct size (alln P<0.05). The combined prediction model of COn 2, PHOS, IBIL, ApoA Ⅰ/ApoB and Cys C has good prediction efficiency for infarct area, and the area under the curve (AUC) of combined diagnosis was 0.739.n Conclusions:Laboratory indicators are closely related to the infarct size of IS. The model developed in this study have good clinical value, which provides a new basis for IS evaluation and early warning.