Institute of Clinical Medicine, University of Tartu, Puusepa 8, 50406, Tartu, Estonia.
Institute of Clinical Medicine, University of Tartu, Puusepa 8, 50406, Tartu, Estonia.
Clin Nutr ESPEN. 2024 Aug;62:120-127. doi: 10.1016/j.clnesp.2024.05.010. Epub 2024 May 18.
Malnutrition is present in 20-50% of hospital patients but its recognition is often neither timely nor complete. The Global Leadership Initiative on Malnutrition (GLIM) aims to improve this, but its successful implementation may be compromised by its dependence on (a choice of) prior screening tools and difficulties in consistent assessment of muscle mass.
To explore different approaches to screening and muscle assessment in GLIM and to offer simpler choices for its more widespread application.
(1) Data from 300 consenting in-patients provided Nutritional Risk Screening (NRS-2002), Malnutrition Universal Screening Tool (MUST), and Subjective Global Assessment (SGA) scores. GLIM scoring was preceded by NRS-2002 or MUST (using threshold scores of 1 or 2 for MUST), or no prior screening. The results of GLIM scoring preceded by different screening approaches were compared with those of SGA. (2) The literature on mid-upper arm circumference (MUAC) and calf circumference (CC) as simple, non-invasive, objective methods of muscle assessment methods was reviewed (3) The cumulative times taken to obtain GLIM scores were measured and corrected for the different screening strategies.
(1) Participants' mean age was 60 years, 157 (52%) were female and mean BMI was 27.8 kg/m. In comparison with SGA, GLIM with no prior screening had the highest sensitivity (65%) and negative predictive value (NPV) (76%), but the lowest specificity (90%) and positive predictive value (PPV) (84%). The equivalent figures for GLIM with prior MUST "1" were 62%, 75%, 93% and 88%; with prior NRS-2002, 55%∗, 73%, 98%∗ and 95%∗; and with prior MUST "2", 44%∗, 69%∗, 98%∗, 95%∗. The area under an ROC curve was the highest (0.78) when GLIM was performed without screening or with prior MUST "1". (2) Being less affected by oedema and gender differences than calf circumference, MUAC could serve as a standard globally accessible muscle mass assessment method which can be supplemented by technical approaches if available and deemed necessary. (3) The overall per-capita time requirement of GLIM was 240-245 s without prior screening, and was increased by 2-3% with prior MUST "1", by 27-29% with prior NRS-2002 and decreased by 8-9% with prior MUST "2".
Preceding GLIM by screening can decrease its sensitivity and increase overall time utilisation; "gold standard" muscle assessment is not globally accessible. Our results therefore support considering using GLIM as a combined screening and assessment tool, with MUAC as the method of muscle assessment which can be supplemented by technical approaches if available and deemed necessary. This could potentially both simplify the use of GLIM and improve the early detection of malnutrition. ∗Indicates statistically significant difference from use of GLIM without prior screening.
营养不良存在于 20-50%的住院患者中,但往往既不能及时又不能完全识别。全球营养不良领导倡议(GLIM)旨在改善这一点,但由于其依赖于(选择)先前的筛选工具和肌肉质量评估的一致性困难,其成功实施可能受到影响。
探索 GLIM 中的不同筛选和肌肉评估方法,并为其更广泛的应用提供更简单的选择。
(1)对 300 名同意的住院患者进行营养风险筛查(NRS-2002)、营养不良通用筛查工具(MUST)和主观全面评估(SGA)评分。在进行 GLIM 评分之前,进行 NRS-2002 或 MUST(MUST 的阈值为 1 或 2),或不进行先前的筛选。不同筛选方法之前的 GLIM 评分结果与 SGA 进行了比较。(2)回顾了中上臂围(MUAC)和小腿围(CC)作为简单、非侵入性、客观的肌肉评估方法的文献。(3)测量并校正了获得 GLIM 评分的累积时间,以适应不同的筛选策略。
(1)参与者的平均年龄为 60 岁,157 名(52%)为女性,平均 BMI 为 27.8kg/m。与 SGA 相比,无先前筛选的 GLIM 具有最高的敏感性(65%)和阴性预测值(76%),但特异性(90%)和阳性预测值(84%)最低。先前 MUST“1”的 GLIM 对应的数字为 62%、75%、93%和 88%;先前 NRS-2002 为 55%∗、73%、98%∗和 95%∗;先前 MUST“2”为 44%∗、69%∗、98%∗、95%∗。当不进行筛选或仅进行先前 MUST“1”时,ROC 曲线下面积最高(0.78)。(2)MUAC 受水肿和性别差异的影响小于小腿围,可作为全球通用的肌肉质量评估方法,如果有技术方法可用且认为有必要,可补充使用。(3)无先前筛选时,GLIM 的人均总时间需求为 240-245s,使用先前 MUST“1”时增加 2-3%,使用先前 NRS-2002 时增加 27-29%,使用先前 MUST“2”时减少 8-9%。
在进行 GLIM 之前进行筛选会降低其敏感性并增加整体时间利用率;全球范围内无法获得“金标准”的肌肉评估方法。因此,我们的结果支持考虑将 GLIM 作为一种联合筛选和评估工具使用,MUAC 作为肌肉评估方法,如果有技术方法可用且认为有必要,可补充使用。这可能会简化 GLIM 的使用并提高营养不良的早期检测。∗表示与不进行先前筛选的 GLIM 使用相比具有统计学意义的差异。