目的探讨全身免疫炎症反应指数(SIIRI)与冠心病患者冠状动脉狭窄严重程度及其远期主要不良心血管事件(MACE)发生风险的关系。方法回顾性连续纳入2020年12月至2021年12月因胸痛在中国人民解放军联勤保障部队第九〇四医院住院治疗并行冠...目的探讨全身免疫炎症反应指数(SIIRI)与冠心病患者冠状动脉狭窄严重程度及其远期主要不良心血管事件(MACE)发生风险的关系。方法回顾性连续纳入2020年12月至2021年12月因胸痛在中国人民解放军联勤保障部队第九〇四医院住院治疗并行冠状动脉造影检查的545例患者,根据冠状动脉造影检查结果分为冠心病组(435例)和非冠心病组(110例),根据Gensini评分将冠心病患者分为冠状动脉重度狭窄组(Gensini评分≥30分,272例)和冠状动脉轻度狭窄组(Gensini评分为1~<30分,163例)。SIIRI计算公式为SIIRI=中性粒细胞计数×单核细胞计数×血小板计数/淋巴细胞计数。冠心病患者随访1年,成功随访216例患者,根据有无终点事件分为MACE组(77例)、非MACE组(139例)。采用logistic回归模型分析冠心病和冠状动脉重度狭窄的独立预测因素,采用Cox比例风险回归模型分析冠心病患者经皮冠状动脉介入(PCI)治疗后发生MACE的独立危险因素,采用ROC曲线分析SIIRI对冠状动脉重度狭窄和MACE的预测价值。结果冠心病组的SIIRI高于非冠心病组[305.19×10^(18)(170.98×10^(18),550.76×10^(18))/L^(2) vs 121.25×10^(18)(91.17×10^(18),194.41×10^(18))/L^(2),P<0.001];当SIIRI取临界值251.02×10^(18)/L^(2)时预测冠心病的效能最高,灵敏度和特异度分别为58.9%和90.9%。冠状动脉重度狭窄组的SIIRI高于冠状动脉轻度狭窄组[420.75×10^(18)(238.76×10^(18),810.13×10^(18))/L^(2) vs 185.41×10^(18)(127.39×10^(18),294.07×10^(18))/L^(2),P<0.001];当SIIRI取临界值304.86×10^(18)/L^(2)时预测冠状动脉重度狭窄的效能最高,灵敏度和特异度分别为68.0%和79.1%。MACE组的SIIRI高于非MACE组[942.38×10^(18)(528.00×10^(18),1494.43×10^(18))/L^(2) vs 319.93×10^(18)(176.41×10^(18),498.90×10^(18))/L^(2),P<0.001];当SIIRI取临界值650.23×10^(18)/L^(2)时对冠心病患者行PCI治疗后发生MACE的预测能力最强,灵敏度和特异度分别为71.4%和84.9%。SIIRI预测冠心病和冠状动脉重度狭窄及PCI治疗后发生MACE的AUC值分别为0.809(95%CI 0.770~0.848)、0.775(95%CI 0.732~0.819)、0.798(95%CI 0.732~0.864),均高于系统性免疫炎症指数、系统性炎症反应指数、血小板与淋巴细胞比值、中性粒细胞与淋巴细胞比值和单核细胞与淋巴细胞比值。结论SIIRI是冠心病及冠状动脉重度狭窄的独立危险因素,也对冠心病患者行PCI治疗后远期发生MACE具有较好的预测价值。展开更多
Objective:To evaluate the predictive value of the neutrophil⁃to⁃lymphocyte ratio(NLR)and the systemic immune⁃inflammation index(SII)in predicting patients with anti⁃melanoma differentiation⁃associated gene 5⁃positive(...Objective:To evaluate the predictive value of the neutrophil⁃to⁃lymphocyte ratio(NLR)and the systemic immune⁃inflammation index(SII)in predicting patients with anti⁃melanoma differentiation⁃associated gene 5⁃positive(anti⁃MDA5+)dermatomyositis(DM)develop into the rapidly progressive interstitial lung disease(RPILD).Methods:We retrospectively analyzed the clinical and laboratory data of 124 anti⁃MDA5+DM patients from the First Affiliated Hospital of Nanjing Medical University between March 2019 and September 2023.We identified independent risk factors associated with the development and mortality of RPILD with the Cox regression analysis,and determined the optimal cut⁃off values for predicting adverse outcomes with the receiver operating characteristic(ROC)curve analysis.Results:Among the 124 patients,36 patients(29.03%)developed RPILD,and 39 patients(31.45%)died during the follow⁃up period.The results of multivariate Cox regression analysis showed that the elevated NLR was an independent risk factor for RPILD development,while the elevated SII expression was independently associated with the increased mortality of RPILD.Based on the ROC curve analysis,NLR>6.12 was a predictor for RPILD,and SII>875.79 was associated with increased mortality risk of RPILD.Conclusion:Both NLR and SII are accessible,cost⁃effective,and reliable prognostic indicators for the prognosis of patients with anti⁃MDA5^(+)DM,providing a valuable guidance for clinical management and risk stratification of the disease.展开更多
文摘目的探讨全身免疫炎症反应指数(SIIRI)与冠心病患者冠状动脉狭窄严重程度及其远期主要不良心血管事件(MACE)发生风险的关系。方法回顾性连续纳入2020年12月至2021年12月因胸痛在中国人民解放军联勤保障部队第九〇四医院住院治疗并行冠状动脉造影检查的545例患者,根据冠状动脉造影检查结果分为冠心病组(435例)和非冠心病组(110例),根据Gensini评分将冠心病患者分为冠状动脉重度狭窄组(Gensini评分≥30分,272例)和冠状动脉轻度狭窄组(Gensini评分为1~<30分,163例)。SIIRI计算公式为SIIRI=中性粒细胞计数×单核细胞计数×血小板计数/淋巴细胞计数。冠心病患者随访1年,成功随访216例患者,根据有无终点事件分为MACE组(77例)、非MACE组(139例)。采用logistic回归模型分析冠心病和冠状动脉重度狭窄的独立预测因素,采用Cox比例风险回归模型分析冠心病患者经皮冠状动脉介入(PCI)治疗后发生MACE的独立危险因素,采用ROC曲线分析SIIRI对冠状动脉重度狭窄和MACE的预测价值。结果冠心病组的SIIRI高于非冠心病组[305.19×10^(18)(170.98×10^(18),550.76×10^(18))/L^(2) vs 121.25×10^(18)(91.17×10^(18),194.41×10^(18))/L^(2),P<0.001];当SIIRI取临界值251.02×10^(18)/L^(2)时预测冠心病的效能最高,灵敏度和特异度分别为58.9%和90.9%。冠状动脉重度狭窄组的SIIRI高于冠状动脉轻度狭窄组[420.75×10^(18)(238.76×10^(18),810.13×10^(18))/L^(2) vs 185.41×10^(18)(127.39×10^(18),294.07×10^(18))/L^(2),P<0.001];当SIIRI取临界值304.86×10^(18)/L^(2)时预测冠状动脉重度狭窄的效能最高,灵敏度和特异度分别为68.0%和79.1%。MACE组的SIIRI高于非MACE组[942.38×10^(18)(528.00×10^(18),1494.43×10^(18))/L^(2) vs 319.93×10^(18)(176.41×10^(18),498.90×10^(18))/L^(2),P<0.001];当SIIRI取临界值650.23×10^(18)/L^(2)时对冠心病患者行PCI治疗后发生MACE的预测能力最强,灵敏度和特异度分别为71.4%和84.9%。SIIRI预测冠心病和冠状动脉重度狭窄及PCI治疗后发生MACE的AUC值分别为0.809(95%CI 0.770~0.848)、0.775(95%CI 0.732~0.819)、0.798(95%CI 0.732~0.864),均高于系统性免疫炎症指数、系统性炎症反应指数、血小板与淋巴细胞比值、中性粒细胞与淋巴细胞比值和单核细胞与淋巴细胞比值。结论SIIRI是冠心病及冠状动脉重度狭窄的独立危险因素,也对冠心病患者行PCI治疗后远期发生MACE具有较好的预测价值。
文摘Objective:To evaluate the predictive value of the neutrophil⁃to⁃lymphocyte ratio(NLR)and the systemic immune⁃inflammation index(SII)in predicting patients with anti⁃melanoma differentiation⁃associated gene 5⁃positive(anti⁃MDA5+)dermatomyositis(DM)develop into the rapidly progressive interstitial lung disease(RPILD).Methods:We retrospectively analyzed the clinical and laboratory data of 124 anti⁃MDA5+DM patients from the First Affiliated Hospital of Nanjing Medical University between March 2019 and September 2023.We identified independent risk factors associated with the development and mortality of RPILD with the Cox regression analysis,and determined the optimal cut⁃off values for predicting adverse outcomes with the receiver operating characteristic(ROC)curve analysis.Results:Among the 124 patients,36 patients(29.03%)developed RPILD,and 39 patients(31.45%)died during the follow⁃up period.The results of multivariate Cox regression analysis showed that the elevated NLR was an independent risk factor for RPILD development,while the elevated SII expression was independently associated with the increased mortality of RPILD.Based on the ROC curve analysis,NLR>6.12 was a predictor for RPILD,and SII>875.79 was associated with increased mortality risk of RPILD.Conclusion:Both NLR and SII are accessible,cost⁃effective,and reliable prognostic indicators for the prognosis of patients with anti⁃MDA5^(+)DM,providing a valuable guidance for clinical management and risk stratification of the disease.
