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肿瘤患者的营养风险:一项 1453 例癌症门诊患者的研究。

The nutritional risk in oncology: a study of 1,453 cancer outpatients.

机构信息

Faculty of Medicine, University of Milan, Milan, Italy.

出版信息

Support Care Cancer. 2012 Aug;20(8):1919-28. doi: 10.1007/s00520-012-1387-x.

Abstract

PURPOSE

There is little information about the nutritional status of cancer outpatients because the practice of nutritional screening is rarely performed. This study aims to define the pattern of scores of nutritional risk in 1,453 outpatients and factors associated with a high nutrition risk score, to facilitate the identification of such patients by the oncologists.

METHODS

We prospectively screened the nutritional status of cancer outpatients according to the NRS-2002 score which combines indicators of malnutrition and of severity of the disease (1-3 points, respectively). A score ≥ 3 indicates "nutritional risk". The association of the nutritional scores with some patient/tumour/therapy-related variables was investigated through univariable and multivariable linear regression models.

RESULTS

Thirty-two percent of outpatients were at nutritional risk. Primary tumour site, Eastern Cooperative Oncology Group score and presence of anorexia or fatigue were significantly associated with the nutrition risk score. Depending on the combination of these variables, it was possible to estimate different probabilities of nutritional risk.

CONCLUSIONS

The frequency of a relevant nutritional risk was higher than expected considering the favourably selected population. The nutritional risk was associated with common clinical variables which are usually recorded in the charts and could easily alert the oncologist on the need of a further nutritional assessment or a nutritional support.

摘要

目的

由于很少进行营养筛查,因此有关癌症门诊患者营养状况的信息有限。本研究旨在确定 1453 名门诊患者的营养风险评分模式以及与高营养风险评分相关的因素,以便肿瘤学家更容易识别此类患者。

方法

我们根据 NRS-2002 评分(将营养不良和疾病严重程度的指标相结合[分别为 1-3 分])前瞻性地筛查癌症门诊患者的营养状况。评分≥3 表示“存在营养风险”。通过单变量和多变量线性回归模型,研究营养评分与某些患者/肿瘤/治疗相关变量之间的关联。

结果

32%的门诊患者存在营养风险。原发肿瘤部位、东部肿瘤协作组评分以及厌食或乏力的存在与营养风险评分显著相关。根据这些变量的组合,可以估计不同的营养风险概率。

结论

考虑到选择的人群有利,存在相关营养风险的频率高于预期。营养风险与常见的临床变量相关,这些变量通常记录在图表中,可以提醒肿瘤学家需要进一步进行营养评估或营养支持。

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