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中国临床研究英文版:2026,39(5):753-757
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慢性阻塞性肺疾病急性加重期患者全身免疫炎症指数和呼吸衰竭的相关性
(1. 安徽省第二人民医院医学检验中心, 安徽 合肥 230041;2. 安徽省第二人民医院手术室, 安徽 合肥 230041)
Relationship between systemic immune-inflammation index and respiratory failure in patients with acute exacerbation of chronic obstructive pulmonary disease
摘要
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Received:April 14, 2025   Published Online:May 22, 2026
中文摘要: 目的 探讨慢性阻塞性肺疾病急性加重期(AECOPD)患者全身免疫炎症指数(SII)与呼吸衰竭的相关性,及SII对AECOPD患者呼吸衰竭的预测效能。方法 回顾性收集2023年11月至2025年2月安徽省第二人民医院收治的102例AECOPD患者的临床资料,根据是否合并呼吸衰竭分为观察组(48例)和对照组(54例)。比较两组C反应蛋白(CRP)、D-二聚体(D-D)、白蛋白(ALB)、纤维蛋白原(FIB)、中性粒细胞计数(NEU)、血小板计数(PLT)、淋巴细胞计数(LYM)、红细胞体积分布宽度(RDW)、平均血小板体积(MPV)、血小板压积(PCT)、血小板分布宽度(PDW)、SII、中性粒细胞-淋巴细胞比值(NLR)、血小板-淋巴细胞比值(PLR)。采用 logistic回归分析 AECOPD 并发呼吸衰竭的影响因素,通过受试者工作特征(ROC)曲线评估 SII 对呼吸衰竭的预测价值。结果 观察组CRP、NEU、NLR、PLR、SII、FIB显著高于对照组(P<0.05),ALB、LYM 显著低于对照组(P<0.05)。多因素 logistic 回归显示,高 SII(OR =1.003,95%CI:1.000~1.005)、高 CRP(OR =1.016,95%CI:1.000~1.030)、低ALB(OR =0.861,95%CI:0.753~0.983)是AECOPD并发呼吸衰竭的独立危险因素(P<0.05)。ROC曲线分析显示,SII预测AECOPD并发呼吸衰竭的曲线下面积(AUC)为0.809。结论 SII可作为预测AECOPD患者并发呼吸衰竭的有效指标。
Abstract:Objective To investigate the correlation between systemic immune-inflammation index(SII)and respiratory failure in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),and the predictive efficiency of SII for respiratory failure in AECOPD patients. Methods Clinical data of 102 AECOPD patients admitted to Anhui No.2 Provincial People's Hospital from November 2023 to February 2025 were retrospectively collected. The patients were divided into the observation group(n=48)and the control group(n=54)according to the presence or absence of respiratory failure. Levels of C-reactive protein(CRP),D-dimer(D-D),albumin(ALB),fibrinogen(FIB),neutrophil count(NEU),platelet count(PLT),lymphocyte count(LYM),red blood cell distribution width(RDW),mean platelet volume(MPV),plateletcrit(PCT),platelet distribution width(PDW),SII,neutrophil-to-lymphocyte ratio(NLR),and platelet-to-lymphocyte ratio(PLR)were compared between the two groups. Logistic regression was used to analyze influencing factors of respiratory failure secondary to AECOPD,and receiver operating characteristic(ROC)curve was applied to evaluate the predictive value of SII for respiratory failure. Results Compared with the control group,CRP,NEU,NLR,PLR,SII,and FIB were significantly higher(P<0.05),while ALB and LYM were significantly lower in the observation group(P<0.05). Multivariate logistic regression showed that high SII(OR =1.003,95%CI:1.001-1.005),high CRP(OR =1.016,95%CI:1.000-1.030),and low ALB(OR =0.861,95%CI:0.753-0.983)were independent risk factors for respiratory failure in AECOPD patients(P<0.05). ROC curve analysis showed that the area under the curve(AUC)of SII in predicting respiratory failure in AECOPD patients was 0.809. Conclusion SII can be used as an effective indicator for predicting respiratory failure in AECOPD patients.
文章编号:     中图分类号:R563.8    文献标志码:A
基金项目:安徽省教育厅自然科学重点项目(2025AHGXZK30617,2025AHGXZK31426)
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