Unidade de Nutrição e Metabolismo, Instituto de Medicina Molecular, Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal.
Br J Nutr. 2012 Jul;108(2):343-8. doi: 10.1017/S000711451100571X. Epub 2011 Dec 6.
In the present study, we aimed to validate the Malnutrition Universal Screening Tool (MUST) for routine nutritional screening in the radiation oncology setting, thus enabling timely and adequate referrals of patients at risk for individualised or advanced intervention. Towards this objective, we conducted a prospective cross-sectional study in 450 non-selected cancer patients (18-95 years) referred for radiotherapy. The following were the nutritional parameters: BMI (categorised by WHO's age/sex criteria), weight loss >5 % in the previous 3-6 months, Patient-Generated Subjective Global Assessment (PG-SGA - validated/specific for oncology) and nutritional risk by MUST. Sensitivity, specificity, predictive values and concordance were calculated to validate MUST v. PG-SGA and compare single parameters v. PG-SGA/MUST. BMI v. PG-SGA showed a negligible capacity to detect undernutrition: 0.27 sensitivity, 0.23 specificity, 0.35 positive predictive value and 0.31 negative predictive value. Conversely, percentage weight loss v. PG-SGA was highly effective: 0.76 sensitivity, 0.85 specificity, 0.79 positive predictive value and 0.85 negative predictive value. MUST v. PG-SGA successfully detected patients at risk: 0.80 sensitivity, 0.89 specificity, 0.87 positive predictive value and 1.0 negative predictive value; percentage weight loss v. MUST proved able to identify patients likely to be at risk: 0.85 sensitivity, 0.91 specificity, 0.90 positive predictive value and 1.0 negative predictive value. This is the first study in the radiation oncology setting to validate MUST: a simple and quick method applicable by any health professional, with a high validity for early screening, ideally to antedate a comprehensive nutritional assessment and guide for intervention. In this study, percentage weight loss in the previous 3-6 months does seem valid to predict nutritional risk, and may be the minimum in a busy routine.
在本研究中,我们旨在验证营养不良通用筛查工具(MUST)在放射肿瘤学环境中的常规营养筛查的有效性,从而能够及时对有个体化或高级干预风险的患者进行充分转诊。为实现这一目标,我们对 450 名非选择性癌症患者(18-95 岁)进行了前瞻性横断面研究,这些患者被转介进行放射治疗。以下是营养参数:BMI(根据世卫组织的年龄/性别标准分类)、过去 3-6 个月体重减轻>5%、患者生成的主观整体评估(PG-SGA-经验证/专门用于肿瘤学)和 MUST 的营养风险。计算了敏感性、特异性、预测值和一致性,以验证 MUST 与 PG-SGA 的相关性,并比较了单一参数与 PG-SGA/MUST 的相关性。BMI 与 PG-SGA 检测营养不良的能力可忽略不计:敏感性 0.27,特异性 0.23,阳性预测值 0.35,阴性预测值 0.31。相反,体重减轻百分比与 PG-SGA 非常有效:敏感性 0.76,特异性 0.85,阳性预测值 0.79,阴性预测值 0.85。MUST 与 PG-SGA 成功检测到有风险的患者:敏感性 0.80,特异性 0.89,阳性预测值 0.87,阴性预测值 1.0;体重减轻百分比与 MUST 可识别出可能有风险的患者:敏感性 0.85,特异性 0.91,阳性预测值 0.90,阴性预测值 1.0。这是在放射肿瘤学环境中首次验证 MUST 的研究:一种简单快捷的方法,任何卫生专业人员均可应用,具有较高的早期筛查有效性,理想情况下可先于全面的营养评估和干预指导。在本研究中,过去 3-6 个月的体重减轻百分比似乎可以有效预测营养风险,并且在繁忙的常规中可能是最小的。