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红细胞沉降率和白蛋白作为炎症标志物与肌少症的测量指标相关:一项横断面研究。

Erythrocyte sedimentation rate and albumin as markers of inflammation are associated with measures of sarcopenia: a cross-sectional study.

机构信息

Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.

Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Centre for Medical Research building, Melbourne, 300 Grattan Street, Parkville, Victoria, 3010, Australia.

出版信息

BMC Geriatr. 2019 Aug 27;19(1):233. doi: 10.1186/s12877-019-1253-5.

DOI:10.1186/s12877-019-1253-5
PMID:31455238
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6712841/
Abstract

BACKGROUND

Chronic inflammation is considered to affect physical performance, muscle strength and muscle mass, i.e. measures of sarcopenia. We need to identify a marker of inflammation that is univocally associated with measures of sarcopenia. We aimed to associate three markers of inflammation, erythrocyte sedimentation rate, albumin and white blood cell count, with measures of sarcopenia in geriatric outpatients.

METHODS

Data from the Centre Of Geriatrics Amsterdam cohort was used. Geriatric outpatients at the VU university medical centre in Amsterdam were recruited based on referral between January 1st 2014 and the 31st of December 2015. Erythrocyte sedimentation rate, albumin and white blood cell count were assessed from venous blood samples. Measures of sarcopenia included physical performance by measuring gait speed with the 4 meter walk test, duration of the timed up and go test and of the chair stand test, muscle strength by assessing handgrip strength using handheld dynamometry and skeletal muscle mass by performing bioelectrical impedance analysis. Multivariable linear regression analyses were performed to assess the associations between erythrocyte sedimentation rate, albumin, white blood cell count and measures of sarcopenia.

RESULTS

A total of 442 patients (mean age 80.8 years, SD 6.7, 58.1% female) were included. A higher erythrocyte sedimentation rate was significantly associated with lower gait speed (β = - 0.005; 95% CI = - 0.007, - 0.003), longer duration of timed up and go test (Ln β = 0.006; 95% CI = 0.003, 0.010), longer duration of chair stand test (Ln β = 0.005; 95% CI = 0.002, 0.008), lower handgrip strength (β = - 0.126; 95% CI = - 0.189, - 0.063) and lower relative skeletal muscle mass (β = - 0.179; 95% CI = - 0.274, - 0.084). Lower albumin levels were significantly associated with lower gait speed (β = - 0.020; 95% CI = - 0.011, - 0.028) and handgrip strength (β = - 0.596; 95% CI = - 0.311, - 0.881). Associations remained significant after adjustment for age, sex and number of morbidities. No significant associations were found for white blood cell count and measures of sarcopenia.

CONCLUSIONS

In geriatric outpatients, erythrocyte sedimentation rate was associated with all three measures of sarcopenia, underpinning the potential role of inflammation in sarcopenia.

摘要

背景

慢性炎症被认为会影响身体机能、肌肉力量和肌肉质量,即肌少症的衡量标准。我们需要确定一个与肌少症衡量标准明确相关的炎症标志物。我们旨在将三种炎症标志物,红细胞沉降率、白蛋白和白细胞计数,与老年门诊患者的肌少症衡量标准联系起来。

方法

使用阿姆斯特丹老年医学中心队列的数据。阿姆斯特丹 VU 大学医学中心的老年门诊患者根据 2014 年 1 月 1 日至 2015 年 12 月 31 日的转诊情况进行招募。从静脉血样中评估红细胞沉降率、白蛋白和白细胞计数。肌少症的衡量标准包括通过 4 米步行测试测量步态速度、计时起立行走测试和椅子站立测试的持续时间来衡量身体机能,通过使用手持测力计评估握力来衡量肌肉力量,以及通过进行生物电阻抗分析来衡量骨骼肌质量。进行多变量线性回归分析,以评估红细胞沉降率、白蛋白和白细胞计数与肌少症衡量标准之间的关联。

结果

共纳入 442 名患者(平均年龄 80.8 岁,标准差 6.7,58.1%为女性)。较高的红细胞沉降率与较低的步态速度显著相关(β=-0.005;95%置信区间=-0.007,-0.003),计时起立行走测试的持续时间更长(Lnβ=0.006;95%置信区间=0.003,0.010),椅子站立测试的持续时间更长(Lnβ=0.005;95%置信区间=0.002,0.008),握力更低(β=-0.126;95%置信区间=-0.189,-0.063)和相对骨骼肌质量更低(β=-0.179;95%置信区间=-0.274,-0.084)。较低的白蛋白水平与较低的步态速度(β=-0.020;95%置信区间=-0.011,-0.028)和握力(β=-0.596;95%置信区间=-0.311,-0.881)显著相关。在调整年龄、性别和患病数量后,这些关联仍然显著。白细胞计数与肌少症衡量标准之间没有发现显著关联。

结论

在老年门诊患者中,红细胞沉降率与所有三种肌少症衡量标准均相关,这支持了炎症在肌少症中的潜在作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d9e/6712841/ed6f0cea283b/12877_2019_1253_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d9e/6712841/ed6f0cea283b/12877_2019_1253_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d9e/6712841/ed6f0cea283b/12877_2019_1253_Fig1_HTML.jpg

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