| 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. |