炎症因子和代谢综合征患者肌少症的相关性分析

Correlation analysis between inflammatory factors and sarcopenia in patients with metabolic syndrome

摘要:

目的 分析炎症因子和代谢综合征患者肌少症的相关性。方法 纳入驻马店市中心医院2019年1月至2022年1月收治的代谢综合征患者共187例进行研究，依据是否合并肌少症分两组，其中57例患者合并肌少症设为肌少症组，其余130例患者未合并肌少症设为非肌少症组。对两组患者的各项资料进行单因素分析，对有统计学意义的因素行Logistic多因素分析，分析代谢综合征患者合并肌少症的危险因素，并分析炎症因子对代谢综合征患者合并肌少症的预测效果。结果 肌少症组患者的男性占比、年龄、营养风险/不良占比、病程、糖化血红蛋白、C反应蛋白、白细胞介素-6、肿瘤坏死因子-α水平均高于非肌少症组，体重指数（BMI）、左小腿围、右小腿围、左上臂中点围、右上臂中点围、骨骼肌指数四肢骨骼肌质量指数（ASMI）、握力、步速均低于非肌少症组（P<0.05）。以代谢综合征患者合并肌少症为应变量，赋值1=合并肌少症，0=未合并肌少症。各因素均来源于P<0.05的指标，取所有样本的中位值为自变量，建立非条件Logistic回归模型，结果显示，C反应蛋白≥2.2 mg/L、白细胞介素-6≥6 ng/L、肿瘤坏死因子-α≥2.5 pg/mL均为代谢综合征患者合并肌少症的危险因素（P<0.05）。C反应蛋白、白细胞介素-6、肿瘤坏死因子-α水平对代谢综合征患者合并肌少症均有一定预测价值。结论 C反应蛋白、白细胞介素-6、肿瘤坏死因子-α水平为代谢综合征患者合并肌少症的危险因素，且对肌少症的发生有一定预测价值。

Abstract:

Objective To analyze the correlation between inflammatory factors and sarcopenia in patients with metabolic syndrome.Methods A total of 187 patients with metabolic syndrome admitted to our hospital from January 2019 to January 2022 were studied. They were divided into two groups based on whether they had sarcopenia. Among them, 57 patients with sarcopenia were assigned to the sarcopenia group, while the remaining 130 patients without sarcopenia were assigned to the non-sarcopenia group. Univariate analysis was conducted on the various data of two groups of patients, logistic multivariate analysis was performed on statistically significant factors, the risk factors of metabolic syndrome patients with sarcopenia was analyzed, and the predictive effect of inflammatory factors on metabolic syndrome patients with sarcopenia was analyzed.Results Male proportion, age, nutritional risk/malnutrition proportion, course of disease, glycated hemoglobin, C-reactive protein, interleukin 6, tumor necrosis factor-α were higher, body mass index (BMI), left calf circumference, right calf circumference, left upper arm midpoint circumference, right upper arm midpoint circumference, skeletal muscle index (ASMI), grip strength, and gait speed were lower in the sarcopenia group than those in the non-sarcopenia group, with statistically significant differences (P<0.05). Taking metabolic syndrome patients with sarcopenia as the dependent variable, assign values of 1=sarcopenia, 0=no sarcopenia. All factors are derived from the index P<0.05, take the median value of all samples as an independent variable to establish an unconditional logistic regression model. The results show that C-reactive protein ≥2.2 mg/L, interleukin 6 ≥6 ng/L, tumor necrosis factor-α ≥2.5 pg/mL are risk factors for sarcopenia in patients with metabolic syndrome (P<0.05). C-reactive protein, interleukin 6, tumor necrosis factor-α levels have certain predictive value for patients with metabolic syndrome complicated with sarcopenia.Conclusion C-reactive protein, interleukin 6, tumor necrosis factor-α levels are risk factors for patients with metabolic syndrome complicated with sarcopenia and have certain predictive value for the occurrence of sarcopenia.