PDF(Pubmed)
Abstract：
UNASSIGNED: The Systemic Immune Inflammation Index (SII), as a novel inflammation biomarker that comprehensively reflects the inflammatory and immune status of the body, has not been reported in studies on Mycoplasma pneumoniae pneumonia (MPP) in children. This study aims to investigate whether SII can serve as an effective indicator for evaluating the condition of MPP.
UNASSIGNED: This study recruited a total of 304 hospitalized patients with mycoplasma pneumoniae pneumonia (MPP), including 78 patients with severe MPP (SMPP) and 226 patients with non-SMPP. Univariate analysis using chi-square test, t-test, and Mann-Whitney U-test was conducted to analyze the clinical data of the patients. Logistic regression analysis was employed to identify the main risk factors for SMPP. Receiver operating characteristic curves were plotted to evaluate the potential of using neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic immune response index (SIRI) to predict the severity of MPP.
UNASSIGNED: The ROC curve results show that patients with SII values ≥ 699.00 are more likely to develop severe MPP (sensitivity=0.876, specificity=0.987, AUC=0.940), and the predictive value of SII is significantly better than that of NLR, PLR, and SIRI. The results of multivariate logistic regression analysis indicate that SII can serve as a major risk factor for distinguishing non-SMPP from SMPP.
UNASSIGNED: This study suggests that SII may be an effective indicator for predicting the severity of MPP in children. SII is more sensitive and specific than NLR, PLR, and SIRI in evaluating the condition of MPP.
UNASSIGNED: This study recruited a total of 304 hospitalized patients with mycoplasma pneumoniae pneumonia (MPP), including 78 patients with severe MPP (SMPP) and 226 patients with non-SMPP. Univariate analysis using chi-square test, t-test, and Mann-Whitney U-test was conducted to analyze the clinical data of the patients. Logistic regression analysis was employed to identify the main risk factors for SMPP. Receiver operating characteristic curves were plotted to evaluate the potential of using neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic immune response index (SIRI) to predict the severity of MPP.
UNASSIGNED: The ROC curve results show that patients with SII values ≥ 699.00 are more likely to develop severe MPP (sensitivity=0.876, specificity=0.987, AUC=0.940), and the predictive value of SII is significantly better than that of NLR, PLR, and SIRI. The results of multivariate logistic regression analysis indicate that SII can serve as a major risk factor for distinguishing non-SMPP from SMPP.
UNASSIGNED: This study suggests that SII may be an effective indicator for predicting the severity of MPP in children. SII is more sensitive and specific than NLR, PLR, and SIRI in evaluating the condition of MPP.
摘要：
■系统免疫炎症指数（SII），作为一种新型的炎症生物标志物，能够全面反映机体的炎症和免疫状态，在儿童肺炎支原体肺炎（MPP）的研究中尚未报道。本研究旨在探讨SII是否可以作为评估MPP病情的有效指标。
■这项研究共招募了304名肺炎支原体肺炎（MPP）住院患者，其中重度MPP(SMPP)患者78例,非SMPP患者226例。使用卡方检验进行单变量分析，t检验,并进行Mann-WhitneyU检验分析患者的临床资料。采用Logistic回归分析确定SMPP的主要危险因素。绘制受试者工作特征曲线，以评估使用中性粒细胞与淋巴细胞比率（NLR）的潜力，血小板与淋巴细胞比率（PLR），全身免疫炎症指数（SII），和全身免疫反应指数(SIRI)来预测MPP的严重程度。
■ROC曲线结果表明，SII值≥699.00的患者更容易发生严重的MPP（敏感性=0.876，特异性=0.987，AUC=0.940），SII的预测价值明显优于NLR，PLR,和SIRI。多因素logistic回归分析结果表明，SII可以作为区分非SMPP和SMPP的主要危险因素。
■这项研究表明，SII可能是预测儿童MPP严重程度的有效指标。SII比NLR更敏感和特异，PLR,和SIRI在评估MPP条件时。
■这项研究共招募了304名肺炎支原体肺炎（MPP）住院患者，其中重度MPP(SMPP)患者78例,非SMPP患者226例。使用卡方检验进行单变量分析，t检验,并进行Mann-WhitneyU检验分析患者的临床资料。采用Logistic回归分析确定SMPP的主要危险因素。绘制受试者工作特征曲线，以评估使用中性粒细胞与淋巴细胞比率（NLR）的潜力，血小板与淋巴细胞比率（PLR），全身免疫炎症指数（SII），和全身免疫反应指数(SIRI)来预测MPP的严重程度。
■ROC曲线结果表明，SII值≥699.00的患者更容易发生严重的MPP（敏感性=0.876，特异性=0.987，AUC=0.940），SII的预测价值明显优于NLR，PLR,和SIRI。多因素logistic回归分析结果表明，SII可以作为区分非SMPP和SMPP的主要危险因素。
■这项研究表明，SII可能是预测儿童MPP严重程度的有效指标。SII比NLR更敏感和特异，PLR,和SIRI在评估MPP条件时。
