|
|
Prevalence of sarcopenia in acute ischemic stroke using different diagnostic criteria#br# |
CHEN Rui1 LIAO Ruotong1 LUO Wanghui2 LIANG Hao3 XIAO Hui4 GUO Jianwen3 WEI Lin4 |
1.The Second Clinical School of Medicine Guangzhou University of Chinese Medicine, Guangdong Province, Guangzhou 510000, China;
2.College of Nursing, Hunan University of Chinese Medicine, Hunan Province, Changsha 410208, China;
3.Department of Neurology, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Province, Guangzhou 510120, China; 4.Department of Nursing, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Province, Guangzhou 510120, China |
|
|
Abstract Objective To compare the prevalence of acute ischemic stroke sarcopenia under different diagnostic criteria, and to explore the consistency and diagnostic efficacy of each diagnostic criteria. Methods A total of 117 patients of acute ischemic stroke in the encephalopathy department of Guangdong Provincial Hospital of Traditional Chinese Medicine from July 2020 to May 2021 were selected. Sarcopenia was diagnosed using the Asian Working Group for Sarcopenia (AWGS), the European Working Group on Sarcopenia in the elderly (EWGSOP), the International Working Group on Sarcopenia (IWGS), and the Foundation for the National Institutes of Health (FNIH), respectively. The general data of the patients were collected, grip strength, skeletal muscle mass of limbs were measured, and body mass index (BMI) was calculated. Concordance, sensitivity and specificity between diagnostic criteria were calculated. Results The prevalence of acute ischemic stroke sarcopenia under AWGS, EWGSOP, IWGS, and FNIH criteria were 40.2%, 33.3%, 44.4%, and 8.5%, respectively. With AWGS as the standard, the consistency rate with EWGSOP was 93.16% (Kappa = 0.97, P < 0.01), the sensitivity was 100.0%, and the specificity was 89.7%; the concordance rate with IWGS was 95.72% (Kappa = 0.99, P < 0.01), the sensitivity was 90.4%, and the specificity was 100.0%; the concordance rate with FNIH was 64.96% (Kappa = 0.06, P < 0.01), the sensitivity was 80.0%, and the specificity was 63.6%. Conclusion IWGS has the highest detection rate of sarcopenia in acute ischemic stroke, and the detection rate of FNIH is significantly lower than the other three diagnostic criteria; AWGS, EWGSOP, and IWGS have good consistency in the diagnosis of acute ischemic stroke sarcopenia, AWGS criteria have better sensitivity and specificity, and FNIH criteria have poor consistency with the other three diagnostic criteria.
|
|
|
|
|
[1] 王陇德,刘建民,杨弋,等.我国脑卒中防治仍面临巨大挑战——《中国脑卒中防治报告2018》概要[J].中国循环杂志,2019,34(2):105-119.
[2] Carin-Levy G,Greig C,Young A,et al. Longitudinal Changes in Muscle Strength and Mass after Acute Stroke [J]. Cerebrovas Dis,2006,21(3):201-207.
[3] Scherbakov N,Sandek A,Doehner W. Stroke-related sarcopenia:specific characteristics [J]. J Am Med Dir Assoc,2015,16(4):272-276.
[4] Cruz-Jentoft AJ,Sayer AA. Sarcopenia [J]. Lancet,2019, 393(10191):2636-2646.
[5] Shiraishi A,Yoshimura Y,Wakabayashi H,et al. Prevalence of stroke-related sarcopenia and its association with poor oral status in post-acute stroke patients:Implications for oral sarcopenia [J]. Clin Nutr,2018,37(1):204-207.
[6] Ryan AS,Ivey FM,Serra MC,et al. Sarcopenia and Physical Function in Middle-Aged and Older Stroke Survivors [J]. Arch Phys Med Rehabil,2017,98(3):495-499.
[7] Jang Y,Im S,Han Y,et al. Can initial sarcopenia affect poststroke rehabilitation outcome? [J]. J Clin Neurosci,2020, 71:113-118.
[8] Chen L,Woo J,Assantachai P,et al. Asian Working Group for Sarcopenia:2019 Consensus Update on Sarcopenia Diagnosis and Treatment [J]. J Am Med Dir Assoc,2020,21(3):300-307.
[9] Cruz-Jentoft AJ,Bahat G,Bauer J,et al. Sarcopenia:revised European consensus on definition and diagnosis [J]. Age Ageing,2019,48(4):601.
[10] Cesari M,Fielding RA,Pahor M,et al. Biomarkers of sarcopenia in clinical trials-recommendations from the International Working Group on Sarcopenia [J]. J Cachexia Sarcopenia Muscle,2012,3(3):181-190.
[11] Studenski SA,Peters KW,Alley DE,et al. The FNIH Sarcopenia Project:Rationale,Study Description,Conference Recommendations,and Final Estimates [J]. J Gerontol A Biol Sci Med Sci,2014,69(5):547-558.
[12] 李航.肌少症的研究现状及进展[J].西南军医,2020,22(3):229-231.
[13] 余卫,程晓光,袁凌青.肌少症的评估方法[J].中华骨质疏松和骨矿盐疾病杂志,2016,9(3):240-246.
[14] 彭斌,吴波.中国急性缺血性脑卒中诊治指南2018[J].中华神经科杂志,2018,51(9):666-682.
[15] 吴晓慧,刘芸宏,李倩,等.NIHSS评分对脑卒中手术患者医院感染的预测作用[J].中华医院感染学杂志,2021,(22):3432-3435.
[16] 张磊,刘建民.改良Rankin量表[J].中华神经外科杂志,2012,28(5):512.
[17] 张世洪,吴波,谈颂.卒中登记研究中Barthel指数和改良的Rankin量表的适用性与相关性研究[J].中国循证医学杂志,2004,4(12):871-874.
[18] Nishioka S,Yamanouchi A,Matsushita T. Validity of calf circumference for estimating skeletal muscle mass for the patients after stroke [J]. Nutrtion,2021,82:111028.
[19] 刘陪沛,王惠,周明,等.3种诊断标准下北京社区老年男性的肌少症患病率比较[J].老年医学与保健,2020, 26(4):524-527.
[20] Su Y,Yuki M,Otsuki M. Prevalence of stroke-related sarcopenia:A systematic review and meta-analysis [J]. J Stroke Cerebrovasc Dis,2020,29(9):105092.
[21] Yang L,Yao X,Shen J,et al. Comparison of revised EWGSOP criteria and four other diagnostic criteria of sarcopenia in Chinese community-dwelling elderly residents [J]. Exp Gerontol,2020,130:110798.
[22] 刘锡强,阎爱国,李伟.卒中相关性肌少症骨骼肌特性的研究进展[J].山东医药,2019,59(19):112-114.
[23] 廖麟荣,廖曼霞.脑卒中后肌肉特性变化研究进展[J].中国康复医学杂志,2015,30(3):306-309.
[24] Purcell SA,Mackenzie M,Barbosa-Silva TG,et al. Sarcopenia Prevalence Using Different Definitions in Older Community-Dwelling Canadians [J]. J Nutr Health Aging,2020,24(7):783-790.
[25] Chiles Shaffer N,Huang Y,Abraham DS,et al. Comparing Longitudinal Sarcopenia Trends by Definitions Across Men and Women After Hip Fracture [J]. J Am Geriatr Soc,2020,68(7):1537-1544.
[26] Dam T,Peters KW,Fragala M,et al. An evidence-based comparison of operational criteria for the presence of sarcopenia [J]. J Gerontol A Biol Sci Med Sci,2014,69(5):584-590.
[27] 陆玉凤,刘富甜,朱小红,等.住院2型糖尿病患者肌少症相关因素影响分析[J].中国糖尿病杂志,2021,29(4):284-287.
[28] 陈玲燕,高鑫.肌少症的现况调查及发病机制研究进展[J].复旦学报(医学版),2016,43(6):751-756.
|
|
|
|