基于多因素Logistic回归模型对老年肌少症合并下肢动脉硬化闭塞症的预测价值及多种组合运动训练的应用效果OA北大核心CSTPCD

Objective To explore the influencing factors of elderly patients with sarcopenia combined with lower limb arteriosclerosis obliterans(ASO)and observe the therapeutic effects of various combinations of exercise training.Methods A total of 326 elderly patients with sarcopenia treated in the Third Hospital of Shijiazhuang from May 2020 to May 2023 were divided into ASO group(136 cases)and non-ASO group(190 cases)according to whether the patients were combined with ASO.The influencing factors of ASO in elderly patients with sarcopenia were screened.The combined ASO risk prediction model was established and verified.Patients receiving routine training in ASO group were set as con-trol group(74 cases).The observation group(62 cases)included patients who received multiple combination exercise training on the basis of routine training.After matching,6-min walk distance,limp distance,ankle brachial index,and modified Barthel index before and after training were compared between the two groups.Results Hyperlipidemia,diabe-tes,coronary heart disease,renal insufficiency,hemoglobin A1c(HbA1c)and low-density lipoprotein cholesterol(LDL-C)levels were independent risk factors for patients with ASO(P＜0.05).The calibration curve results show that the multivariate Logistic regression model has good accuracy.After training,the observation group of multiple exercise showed significant improvement in 6-min walk distance,limp distance,ankle brachial index,and modified Barthel index.Conclusion Hyperlipidemia,diabetes,coronary heart disease,renal insufficiency,HbA1c and LDL-C levels are inde-pendent risk factors for ASO in elderly patients with sarcoperia.Multiple combinations of exercise training effect is better.