Food, Nutrition and Health Post-Graduation Program, Federal University of Bahia, Salvador, Bahia, Brazil.
Science Nutrition Department, Federal University of Bahia, Salvador, Bahia, Brazil.
Nutr Clin Pract. 2022 Dec;37(6):1376-1384. doi: 10.1002/ncp.10862. Epub 2022 May 2.
Malnutrition is frequently identified in patients with advanced chronic liver disease (ACLD), and its early identification is necessary for effective nutrition treatment. The aim of this study was to develop and validate a tool for specific nutrition evaluation of patients with ACLD (SNE-ACLD).
SNE-ACLD was developed by consensus among experts using Delphi technique. The initial proposal for the SNE-ACLD had six domains (history of weight loss, changes in food intake, gastrointestinal symptoms, changes in functional capacity, presence of complications of liver disease, and a nutrition-focused physical examination) and 11 items. Fifteen experts participated in content validation. In a cross-sectional study design, the new tool was applied to 129 inpatients and outpatients from a gastrohepatology unit. Nutrition status was evaluated with SNE-ACLD and subjective global assessment by one researcher. Content validation and semantic analysis were obtained by content validity index. To verify accuracy of SNE-ACLD, the sensitivity, specificity, Youden index, and area under the receiver operating characteristic curve (AUC) were calculated.
After five evaluative sequences conducted by experts, experts excluded the domain for history of weight loss and its respective item. The final version of SNE-ACLD consists of five domains and 10 items. The new instrument showed good accuracy in identifying any level of malnutrition (AUC = 0.83; 95% CI, 0.76-0.91) and severe malnutrition (AUC = 0.90; 95% CI, 0.79-1.00).
SNE-ACLD can be used in nutrition assessment of patients with liver disease. Future works should investigate its agreement with other methods and its predictive value.
在晚期慢性肝病(ACLD)患者中经常发现营养不良,早期识别对于有效的营养治疗是必要的。本研究旨在开发和验证一种用于 ACLD 患者特定营养评估的工具(SNE-ACLD)。
通过德尔菲技术,专家共识制定了 SNE-ACLD。SNE-ACLD 的初始提案有六个领域(体重减轻史、食物摄入量变化、胃肠道症状、功能能力变化、肝病并发症存在和以营养为重点的体检)和 11 个项目。15 名专家参与了内容验证。在一项横断面研究设计中,将新工具应用于胃肠病学单位的 129 名住院患者和门诊患者。由一位研究人员使用 SNE-ACLD 和主观整体评估来评估营养状况。内容有效性指数获得内容验证和语义分析。为了验证 SNE-ACLD 的准确性,计算了灵敏度、特异性、Youden 指数和接收器工作特征曲线下的面积(AUC)。
经过专家进行的五轮评估,专家删除了体重减轻史及其各自项目的领域。SNE-ACLD 的最终版本包括五个领域和 10 个项目。新仪器在识别任何程度的营养不良(AUC=0.83;95%CI,0.76-0.91)和严重营养不良(AUC=0.90;95%CI,0.79-1.00)方面具有良好的准确性。
SNE-ACLD 可用于肝病患者的营养评估。未来的工作应该研究其与其他方法的一致性及其预测价值。