Suppr超能文献

医院营养不良的早期检测与控制

[Early detection and control of hospital malnutrition].

作者信息

de Ulibarri Pérez J I, Picón César M J, García Benavent E, Mancha Alvarez-Estrada A

机构信息

Sección de Nutrición Clínica y Dietética, Hospital Universitario de La Princesa, Diego de León, 62, 28006 Madrid.

出版信息

Nutr Hosp. 2002 May-Jun;17(3):139-46.

Abstract

Over the last 25 years, hospital malnutrition has received attention by only a part of the medical staff who have been reporting that 25-50% of the hospitalized patients had some degree of malnutrition worsening during hospital stay. The causes of such high malnutrition rates, the reliability of the detection and nutritional assessment methodology and the clinical and financial consequences are established in all these reported studies. An early nutritional intervention on individuals at high risk would provide a better prognosis, improving the mortality and morbidity rates and reducing the hospital costs. Many programs for the nutritional assessment have been developed, some of which are being used in the clinical practice; the data collection requires a direct intervention upon the patients though, not being suitable to identify the nutrition risk of all the patients on admission. We are proving a tool to screen the nutritional status of all the hospitalized patients, in order to achieve a proper and early treatment of the malnutrition in relationship with the underlying disease, the course of hospitalization and the procedures of therapy.

摘要

在过去25年里,医院营养不良问题仅受到部分医务人员的关注,他们报告称,25%至50%的住院患者在住院期间存在某种程度的营养不良,且情况不断恶化。在所有这些已发表的研究中,均明确了如此高的营养不良率的成因、检测及营养评估方法的可靠性以及临床和经济后果。对高危个体进行早期营养干预将带来更好的预后,降低死亡率和发病率,并减少医院成本。已经开发了许多营养评估方案,其中一些正在临床实践中使用;然而,数据收集需要对患者进行直接干预,并不适合识别所有入院患者的营养风险。我们正在验证一种工具,用于筛查所有住院患者的营养状况,以便针对潜在疾病、住院过程和治疗程序,对营养不良进行恰当且早期的治疗。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验