摘要
目的 了解炎症标志物与老年肌肉减少症之间的相关性.方法 2023 年 1～6 月在社区卫生服务中心连续招募符合纳入排除标准的老年人,根据亚洲肌少症工作组(AWGS)2019 将其分为非肌肉减少症组、肌肉减少症组.分析两组临床资料,采用多因素Logistic回归筛选老年肌肉减少症的危险因素.采用受试者工作特征(ROC)曲线分析炎性指标对老年肌肉减少症的诊断价值.采用Spearman相关性分析探讨炎性指标与肌肉减少症相关指标的相关性.结果 共纳入研究对象 377 名,肌肉减少症的检出率为 17.51%.Logistic多因素回归分析显示,年龄(OR=1.147,95%CI:1.091～1.206)、全身免疫炎症指数(SII)(OR=1.043,95%CI:1.025～1.061)和中性粒细胞/淋巴细胞比率(NLR)(OR=3.236,95%CI:1.984～5.278)、体质量指数(BMI)(OR=1.147,95%CI:1.091～1.206)是老年人发生肌肉减少症的危险因素.ROC曲线显示,SII、NLR、血小板/淋巴细胞比值(PLR)三者联合诊断能力高于 3 个单项指标,曲线下面积(AUC)为 0.818(95%CI:0.764～0.872).Spearman相关性分析结果显示,SII、PLR与肌肉健康指标呈负相关(P＜0.05).结论 老年肌肉减少症与SII、NLR、PLR等新型炎症标志物具有一定相关性,对肌肉减少症的早期筛查和干预有重要意义.
Abstract
Objective To investigate the correlation between inflammatory biomarkers and sarcopenia in elder adults.Methods From January to June 2023,the elder adults meeting the inclusion and exclusion criteria were recruited consecutively from the community health service centers.Based on the Asian Working Group for Sarcopenia(AWGS)2019 criteria,participants were divided into non-sarcopenia and sarcopenia groups,respectively.Clinical data from both groups were analyzed.Logistic regression with multiple factors was employed to identify risk factors for sarcopenia in the elder adults.Receiver operating characteristic(ROC)curve analysis was performed to evaluate the diagnostic value of inflammatory markers for sarcopenia.Spearman correlation analysis was conducted to explore the relationship between inflammatory markers and sarcopenia-related indicators.Results A total of 377 participants were included in this study,with a sarcopenia detection rate of 17.51%.Logistic regression analysis revealed that age(OR=1.147,95%CI:1.091-1.206),systemic immune inflammation index(SII)(OR=1.043,95%CI:1.025-1.061),neutrophil-to-lymphocyte ratio(NLR,OR=3.236,95%CI:1.984-5.278),and body mass index(BMI,OR=1.147,95%CI:1.091-1.206)were risk factors for sarcopenia in elder adults.The ROC curve showed that the combined diagnostic ability of SII,NLR,and platelet-to-lymphocyte ratio(PLR)was higher than that of the three individual indicators alone,with an area under the curve(AUC)of 0.818(95%CI:0.764-0.872).Spearman correlation analysis indicated a negative correlation between SII,PLR,and muscle health indicators(P＜0.05).Conclusion Sarcopenia in elder adults is correlated with novel inflammatory biomarkers such as SII,NLR,and PLR,which is an important implication for early screening and intervention of sarcopenia.
基金项目
重庆市科技局大健康领域重点研发项目(2021)(CSTC2021jscxgksb-N0021)
重庆医科大学研究生智慧医学专项研发计划(YJSZHYX202206)
重庆市璧山区社会民生领域科技计划(BSKJ20210020)
重庆医科大学附属第一医院院级项目(HLJJ2017-07)
NETL
NSTL
维普
万方数据