Feasible Use of Estimated Height for Predicting Outcome by the Geriatric Nutritional Risk Index in Long-Term Care Resident Elderly

Feasible Use of Estimated Height for Predicting Outcome by the Geriatric Nutritional Risk Index in Long-Term Care Resident Elderly
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可行地使用估计身高来预测长期护理老人的老年营养风险指数的结果

DOI:
10.1159/000099468
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发表时间:
2007
期刊:
影响因子:
3.5
通讯作者:
Alfredo Vanotti
Alfredo Vanotti
中科院分区:
医学2区
文献类型:
--
作者:
E. Cereda;D. Limonta;C. Pusani;Alfredo Vanotti

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背景资料:老年营养风险指数(GNRI)是最近推出的一项新指数,用于预测老年患者营养相关并发症的风险。它将白蛋白与体重信息相结合:GNRI =(1.489 ×白蛋白,g/l)+(41.7 ×当前/理想体重),根据洛伦兹公式计算理想体重。由于站立高度(SH)在老年人中通常难以获得,因此在洛伦兹方程中,该参数已被膝盖高度的估计高度(EH)所取代。尽管如此,如果EH被广泛接受为SH的有效替代物,则其在理想体重计算中的使用可能不会被预期,可能会导致正确的营养风险分级。目的:本研究的目的是调查是否使用SH而不是EH计算理想体重预测GNRI相似的结果。研究方法:对231例长期护理住院老年人(男88例,女143例,年龄65-97岁,平均80.0 ± 8.4岁)的体重、SH和EH进行了测定。评估血液样本的白蛋白浓度。使用SH和EH从洛伦兹公式推导出理想体重。根据这两种理想体重估计,营养风险由GNRI评分定义。结果如下:EH(伴SH; r = 0.90)和理想体重估计值(r = 0.90)的Pearson相关系数均较高,且均具有高度显著性(p < 0.0001)。SH和EH之间存在统计学显著差异(p = 0.0265)。在理想体重之间也观察到了相似且可预期的显著性差异(p = 0.0271)。然而,在GNRI对营养风险进行分级时,检测到95.2%的一致性(Kendall's τ检验:τ = 0.85,p < 0.0001)。结论:用GNRI计算EH值计算理想体重和进行营养风险评估是可行的。因此,GNRI似乎是以最佳方式设计的,其使用确实具有吸引力,特别是考虑到患者在评估中的低级别参与要求。应更多地考虑这一简单有效的评估工具。
Background: The Geriatric Nutritional Risk Index (GNRI) is a new index recently introduced for predicting risk of nutritional-related complications in elderly patients. It combines albumin with information about body weight: GNRI = (1.489 × albumin, g/l) + (41.7 × present/ideal body weight), with ideal weight calculated according to the Lorentz formula. Because standing height (SH) is frequently difficult to obtain in older people, in Lorentz equations this parameter has been replaced by estimated height (EH) from knee height. Though, if EH is well accepted as a valid surrogate for SH, the same might not be expected for its use in ideal body weight calculation, with possible consequences in grading nutritional risk correctly. Objective: The aim of this study was to investigate whether the use of SH rather than EH for the calculation of ideal body weight predicts similar outcomes by GNRI. Methods: Body weight, SH and EH were obtained in 231 long-term care resident elderly (88 males and 143 females, mean age ± SD 80.0 ± 8.4, range 65–97 years). Blood samples were assessed for albumin concentration. Ideal body weight was derived from the Lorentz formula using both SH and EH. According to both ideal weight estimates, nutritional risk was defined by the GNRI score. Results: The Pearson correlation coefficients were high for both EH (with SH; r = 0.90) and estimates of ideal body weight (r = 0.90) and all were highly significant (p < 0.0001). A statistically significant difference was found between SH and EH (p = 0.0265). Similar and expectable differences in significance have also been observed between ideal body weights (p = 0.0271). However, an accordance of 95.2% has been detected (Kendall’s τ test: τ = 0.85, p < 0.0001) in grading nutritional risk by GNRI. Conclusion: The use of EH for ideal body weight calculation and nutritional risk assessment by GNRI is feasible. Thus, GNRI seems to have been designed in the best way and its use is really attractive, particularly when considering the low-grade participation demanded of the patient in the assessment. This simple and valid assessment tool should be taken into greater consideration.
DOI: 10.1111/j.1532-5415.1985.tb02276.x
发表时间: 1985-01-01
影响因子: 6.3
作者:
CHUMLEA, WC;ROCHE, AF;STEINBAUGH, ML
通讯作者: STEINBAUGH, ML