Guo Feng, Min Liu, Chengyuan Li, Hong Liu, Meng Wang, Chenyi Tang, Jinru Wu, Wei Wu, Hua Liu
Department of Nutrition, The Third Xiangya Hospital, Central South University, Changsha, China.
Department of Hematology, The Third Xiangya Hospital, Central South University, Changsha, China.
Front Nutr. 2023 Jan 18;9:1077442. doi: 10.3389/fnut.2022.1077442. eCollection 2022.
The muscle-related indicator is removed from Global Leadership Initiative on Malnutrition (GLIM) criteria implemented in China for many reasons. Patients with hematopoietic stem cell transplants are at nutrition risk and can enter into the second step of GLIM; thus, they are suitable for learning the diagnosing malnutrition significance between primary GLIM and GLIM-China criteria. This article aims to explore the role of muscle mass in the diagnostic criteria of malnutrition and the effects of GLIM-China for diagnosing malnutrition.
A total of 98 inpatients with hematopoietic stem cell transplants (HSCT) were recruited. Nutrition risk was assessed by using the Nutritional Risk Screening 2002 (NRS-2002). Appendicular skeletal muscle mass (ASMI) and fat-free mass index (FFMI) were determined using the bioelectrical impedance analysis (BIA) method. Malnutrition is defined by GLIM-China, GLIM, and PG-SGA. We use erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) to assess inflammation in GLIM and GLIM-China. The correlation or consistency among ASMI, FFMI, ESR, CRP, GLIM-China, GLIM, and PG-SGA was evaluated, respectively.
One hundred percent instead of the patients had nutritional risk. The magnitude of malnutrition using PG-SGA, GLIM, and GLIM-China was 75.5, 80.6, and 64.3%, respectively. GLIM-China and PG-SGA showed the same performance ( = 0.052 vs. 1.00) and agreement (kappa = 0.404 vs. 0.433, < 0.0001) with the FFMI. Consistency was noted between ASMI and PG-SGA in the assessment of malnutrition ( = 0.664) with a good agreement (kappa = 0.562, = 0.084). ASMI and FFMI could determine muscle mass reduction, which could not be determined by BMI, albumin (ALB), and pre-albumin (pre-ALB); 34% of GLIM-China (-) patients were with low ASMI, and 40% with low FFMI; 30.0% of patients with PG-SGA (<4) still have low ASMI, and 38.2% have low FFMI.
If only the PG-SGA scale is used as a diagnostic criterion for evaluating malnutrition, a large proportion of patients with reduced muscle mass will be missed, but more patients with muscle loss will be missed GLIM-China. Muscle-related indicators will help diagnose malnutrition.
由于多种原因,在中国实施的全球营养不良领导倡议(GLIM)标准中删除了与肌肉相关的指标。造血干细胞移植患者存在营养风险,可进入GLIM的第二步;因此,他们适合了解原发性GLIM标准与GLIM-中国标准在诊断营养不良方面的意义。本文旨在探讨肌肉量在营养不良诊断标准中的作用以及GLIM-中国标准对诊断营养不良的影响。
共招募了98例造血干细胞移植(HSCT)住院患者。采用营养风险筛查2002(NRS-2002)评估营养风险。使用生物电阻抗分析(BIA)方法测定四肢骨骼肌量(ASMI)和去脂体重指数(FFMI)。采用GLIM-中国标准、GLIM标准和患者主观全面评定法(PG-SGA)定义营养不良。我们使用红细胞沉降率(ESR)和C反应蛋白(CRP)评估GLIM标准和GLIM-中国标准中的炎症情况。分别评估ASMI、FFMI、ESR、CRP、GLIM-中国标准、GLIM标准和PG-SGA之间的相关性或一致性。
所有患者均存在营养风险。使用PG-SGA、GLIM标准和GLIM-中国标准评估的营养不良发生率分别为75.5%、80.6%和64.3%。GLIM-中国标准与PG-SGA在FFMI方面表现相同(P = 0.052对1.00)且一致性良好(kappa = 0.404对0.433,P < 0.0001)。在评估营养不良方面,ASMI与PG-SGA之间存在一致性(P = 0.664)且一致性良好(kappa = 0.562,P = 0.084)。ASMI和FFMI可确定肌肉量减少,而体重指数(BMI)、白蛋白(ALB)和前白蛋白(pre-ALB)则无法确定;GLIM-中国标准评定为阴性的患者中,34%的患者ASMI较低,40%的患者FFMI较低;PG-SGA评分<4分的患者中,30.0%的患者ASMI仍然较低,38.2%的患者FFMI较低。
如果仅将PG-SGA量表作为评估营养不良的诊断标准,将遗漏很大一部分肌肉量减少的患者,但使用GLIM-中国标准会遗漏更多肌肉量减少的患者。与肌肉相关的指标有助于诊断营养不良。