Postgraduate Program in Nutrition, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
J Acad Nutr Diet. 2012 Oct;112(10):1543-9. doi: 10.1016/j.jand.2012.07.005.
Nutritional risk and malnutrition are highly prevalent among hospitalized patients. As a result, several methods have been developed to produce an adequate nutritional diagnosis.
We aimed to assess the relationship between nutritional risk tools and parameters derived from bioelectrical impedance analysis with a Subjective Global Assessment (SGA).
A cross-sectional study was conducted from April to September 2010.
PARTICIPANTS/SETTING: The study included 124 patients admitted to the Surgical Clinic I, University Hospital, Federal University of Santa Catarina, Florianópolis, Brazil, to undergo elective surgery.
We utilized SGA and Nutritional Risk Screening 2002 (NRS 2002), Nutritional Risk Index (NRI), Fat-Free Mass Index (FFMI), Fat Mass Index (FMI), body cell mass as a percentage of the total weight (%BCM), and standardized phase angle (SPA).
The agreement was tested by κ coefficient, while bivariate associations were tested by Mann-Whitney U test.
Prevalence of nutritional risk by NRS 2002 and NRI or malnutrition by SGA, FFMI, FMI, %BCM, and SPA was 19.3%, 69.5%, 35.5%, 12.9%, 8.1%, 46.8%, and 4.8%, respectively. The best agreement was between SGA and NRS 2002 (κ=.490), possibly because they constitute similar instruments. Patients identified as malnourished by SGA (B+C) showed considerably lower values of FFMI, FMI, BCM, and SPA.
The results suggest that the NRS 2002 and parameters derived from bioelectrical impedance analysis identify patients with impaired nutritional status.
营养风险和营养不良在住院患者中非常普遍。因此，已经开发了几种方法来进行充分的营养诊断。
我们旨在评估营养风险工具与生物电阻抗分析得出的参数与主观整体评估（SGA）之间的关系。
这是一项于 2010 年 4 月至 9 月进行的横断面研究。
参与者/设置：该研究纳入了巴西圣卡塔琳娜联邦大学弗洛里亚诺波利斯外科诊所 I 收治的 124 名择期手术患者。
我们使用 SGA 和营养风险筛查 2002（NRS 2002）、营养风险指数（NRI）、无脂肪质量指数（FFMI）、脂肪质量指数（FMI）、细胞内总重量的百分比（%BCM）和标准化相位角（SPA）。
通过κ系数检验一致性，通过 Mann-Whitney U 检验检验双变量相关性。
NRS 2002 和 NRI 预测的营养风险和 SGA、FFMI、FMI、%BCM 和 SPA 预测的营养不良发生率分别为 19.3%、69.5%、35.5%、12.9%、8.1%、46.8%和 4.8%。SGA 和 NRS 2002 之间的一致性最好（κ=0.490），这可能是因为它们是相似的工具。根据 SGA（B+C）确定的营养不良患者的 FFMI、FMI、BCM 和 SPA 值明显较低。
结果表明，NRS 2002 和生物电阻抗分析得出的参数可以识别存在营养状况受损的患者。
