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基于老年综合评估的高龄肌少-骨质疏松症危险因素筛查与综合干预研究:一项≥80岁患者的应用分析

Comprehensive geriatric assessment-based screening and integrated intervention for osteosarcopenia risk factors in older adults: an application analysis in patients aged ≥80 years

  • 摘要:
    目的 探讨老年综合评估(comprehensive geriatric assessment, CGA)在高龄(≥80岁)人群肌少-骨质疏松症(osteosarcopenia, OS)危险因素筛查中的应用价值,并通过CGA指导的综合干预措施评估其对OS的治疗效果。
    方法 选取2022年1月至2024年10月在南通大学附属江阴医院老年医学科、全科医学科以及各社区卫生服务中心接受诊疗的420例高龄患者作为研究对象。根据OS诊断标准分为OS组(139例)和非OS组(281例),采用CGA进行全面评估,分析两组患者在一般情况、实验室指标、合并症等方面的差异,并进行二元logistic回归分析。进一步地,从OS患者中随机选取40例分为研究组和对照组,每组各20例。研究组接受包括营养支持、运动训练及心理健康管理在内的综合干预措施,而对照组则接受常规护理。3个月后比较两组患者的四肢骨骼肌质量指数(appendicular skeletal muscle mass index,ASMI)、握力、步速及骨密度T值。
    结果 高龄人群OS患病率为33.1%。与非OS组相比,OS组患者在年龄、体质量指数(body mass index,BMI)、吸烟史、合并症指数、多重用药、认知功能缺陷、视觉和听觉损伤、睡眠障碍、抑郁、婚姻状况、社会参与、日常生活能力、营养风险、总胆固醇、尿酸和便秘方面差异有统计学意义。Logistic回归分析显示,年龄与合并症指数是OS发病的重要风险因素,而BMI、已婚状态、总胆固醇水平及日常生活能力的协作与自理为保护因素。干预后,研究组的握力、步速、骨密度T值和男性的ASMI均显著优于对照组(P<0.05)。
    结论 CGA可全面筛查高龄OS患者的危险因素,结合综合干预模式能有效改善患者肌肉骨骼功能。

     

    Abstract:
    Objective  To explore the utility of comprehensive geriatric assessment (CGA) in screening risk factors for osteosarcopenia (OS) among older adults (≥80 years old) and to evaluate the therapeutic efficacy of CGA-guided integrated interventions for OS.
    Methods A total of 420 patients aged ≥80 years, recruited from the Department of Geriatrics, General Practice of The Affiliated Jiangyin Hospital of Nantong University, and community health centers from January 2022 to October 2024, were enrolled. Participants were classified into OS (n=139) and non-OS (n=281) groups based on diagnostic criteria. CGA was utilized to compare differences in general characteristics, laboratory indicators, comorbidities between groups. Binary logistic regression analysis identified independent risk and protective factors. Subsequently, 40 OS patients were randomly assigned to an intervention group (n=20) receiving integrated interventions including nutritional support, exercise training, and psychological management or a control group (n=20, receiving routine care). Appendicular skeletal muscle mass index (ASMI), grip strength, gait speed, and bone mineral density (BMD) T-score were compared between groups after 3 months.
    Results The prevalence of OS in this cohort was 33.1%. Compared to the non-OS group, the OS group exhibited significant differences in age, body mass index (BMI), smoking history, comorbidity index, concomitant medication, cognitive impairment, visual and hearing impairment, sleep disorders, depression, marital status, social participation, activities of daily living, nutritional risk, total cholesterol, uric acid, and constipation (P<0.05). Logistic regression analysis identified age and comorbidity index as significant risk factors for OS, while BMI, married status, total cholesterol, and activities of daily living (assisted and independent) served as protective factors. The intervention group demonstrated significant improvements in grip strength, gait speed, BMD T-score, and male ASMI compared to controls (P<0.05).
    Conclusions CGA demonstrates clinical utility in systematically identifying risk factors for OS in the old population. Multimodal interventions guided by CGA effectively improve musculoskeletal function in elderly OS patients.

     

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