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
目的:应用表面加强激光解吸电离飞行时间质谱筛选出类风湿关节炎并发间质性肺疾病(RA-ILD)患者血清中的差异蛋白,并对其临床价值进行初步分析。方法:用WCX2(弱阳离子交换芯片)蛋白芯片结合表面增强激光解吸电离飞行时间质谱(Surface enh...目的:应用表面加强激光解吸电离飞行时间质谱筛选出类风湿关节炎并发间质性肺疾病(RA-ILD)患者血清中的差异蛋白,并对其临床价值进行初步分析。方法:用WCX2(弱阳离子交换芯片)蛋白芯片结合表面增强激光解吸电离飞行时间质谱(Surface enhanced laser desorption/ionization time of flight mass spectrum,SELDI-TOF-MS)检测19例RA-ILD患者,15例单纯RA、未合并间质性肺疾病患者,13例相对健康的对照组患者的血清样本,应用Biomarker Wizard软件、Biomarker Pattern软件以及SPSS13.0对测得的数据进行处理,初步构建分类树模型并随机选取部分病例进行验证。结果:患者血清中共检测出142个蛋白峰,经方差分析,发现了4个蛋白质峰差异有统计学意义,质荷比分别为3382.59、3453.39、11886.0、5825.48,Biomarker Pattern软件对所检测的所有数据分析后,发现以质荷比11689.4、2266.49、1020.22、4392.28、5074.38、2764.69为最适合建立分类树模型,灵敏度为92.31%(12/13),特异度为91.18%(31/34)。随机选取RA-ILD、RA、相对健康的对照组患者的血清样本各10例进行模型验证,灵敏度为90%(9/10),特异度为90%(18/20)。结论:SELDI-TOF-MS技术可筛选出RA-ILD患者血清中差异性表达蛋白,作为生物标志物,其诊断敏感度高,特异度好,对其测定具有较好的临床应用前景。展开更多
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.
文摘目的:应用表面加强激光解吸电离飞行时间质谱筛选出类风湿关节炎并发间质性肺疾病(RA-ILD)患者血清中的差异蛋白,并对其临床价值进行初步分析。方法:用WCX2(弱阳离子交换芯片)蛋白芯片结合表面增强激光解吸电离飞行时间质谱(Surface enhanced laser desorption/ionization time of flight mass spectrum,SELDI-TOF-MS)检测19例RA-ILD患者,15例单纯RA、未合并间质性肺疾病患者,13例相对健康的对照组患者的血清样本,应用Biomarker Wizard软件、Biomarker Pattern软件以及SPSS13.0对测得的数据进行处理,初步构建分类树模型并随机选取部分病例进行验证。结果:患者血清中共检测出142个蛋白峰,经方差分析,发现了4个蛋白质峰差异有统计学意义,质荷比分别为3382.59、3453.39、11886.0、5825.48,Biomarker Pattern软件对所检测的所有数据分析后,发现以质荷比11689.4、2266.49、1020.22、4392.28、5074.38、2764.69为最适合建立分类树模型,灵敏度为92.31%(12/13),特异度为91.18%(31/34)。随机选取RA-ILD、RA、相对健康的对照组患者的血清样本各10例进行模型验证,灵敏度为90%(9/10),特异度为90%(18/20)。结论:SELDI-TOF-MS技术可筛选出RA-ILD患者血清中差异性表达蛋白,作为生物标志物,其诊断敏感度高,特异度好,对其测定具有较好的临床应用前景。
