Goh Siang Poon, Azman Mawaddah, Md Isa Zaleha
Department of Otorhinolaryngology Head and Neck Surgery, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia.
Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia.
Malays J Med Sci. 2025 Feb;32(1):99-109. doi: 10.21315/mjms-10-2024-789. Epub 2025 Feb 28.
Undernutrition significantly affects surgical patient outcomes, prompting the Global Leadership Initiative on Malnutrition (GLIM) to establish a set of diagnostic criteria. This study assessed the prevalence of undernutrition using the GLIM criteria and determined a mid-upper arm circumference (MUAC) cutoff for malnutrition.
This cross-sectional study was conducted from December 2021 to May 2023. Biodata, information necessary for GLIM criteria, and anthropometric measurements including height, body weight, MUAC, fat mass (FM), and fat-free mass (FFM), were collected. Correlations among indicators analysed using Pearson's correlation. The MUAC cutoff points for underweight, obesity, and undernourishment were derived using receiver operating characteristics (ROC) and area under the curve (AUC), and the sensitivity, specificity, and positive and negative predictive values were calculated.
Despite a mean body mass index (BMI) of 25.8 (6.0) kg/m, 30.0% of the patients met the GLIM undernutrition criteria. Overall, 13.4% of the patients were overweight, and 54.2% were obese. ROC analysis showed MUAC measures with an AUC ranging from 0.66-0.97. A MUAC cutoff of 28.9 cm identified undernourished patients with 66.7% sensitivity, 67.1% specificity, and 46.6% positive predictive value (PPV). Notably, the PPV increased to 75.4% in patients with cancer. The optimal MUAC cutoffs derived from the fat-free mass index (FFMI) for undernourished males and females were 26.8 cm and 26.1 cm, respectively.
Malnutrition is prevalent among surgical patients. The MUAC is a promising surrogate for assessing BMI and FFMI and serves as a valuable screening tool for nutritional status. These findings emphasise the importance of nutritional assessment in surgical care.
营养不良会显著影响手术患者的预后,促使全球营养不良领导倡议组织(GLIM)制定了一套诊断标准。本研究使用GLIM标准评估了营养不良的患病率,并确定了营养不良的上臂中部周长(MUAC)临界值。
本横断面研究于2021年12月至2023年5月进行。收集了生物数据、GLIM标准所需信息以及包括身高、体重、MUAC、脂肪量(FM)和去脂体重(FFM)在内的人体测量数据。使用Pearson相关性分析指标之间的相关性。使用受试者工作特征(ROC)和曲线下面积(AUC)得出体重过轻、肥胖和营养不良的MUAC临界值,并计算敏感性、特异性以及阳性和阴性预测值。
尽管平均体重指数(BMI)为25.8(6.0)kg/m²,但30.0%的患者符合GLIM营养不良标准。总体而言,13.4%的患者超重,54.2%的患者肥胖。ROC分析显示MUAC测量的AUC范围为0.66 - 0.97。MUAC临界值为28.9 cm时,识别营养不良患者的敏感性为66.7%,特异性为67.1%,阳性预测值(PPV)为46.6%。值得注意的是,癌症患者的PPV增至75.4%。根据去脂体重指数(FFMI)得出的营养不良男性和女性的最佳MUAC临界值分别为26.8 cm和26.1 cm。
营养不良在手术患者中普遍存在。MUAC是评估BMI和FFMI的有前景的替代指标,也是营养状况的有价值筛查工具。这些发现强调了手术护理中营养评估的重要性。