CONUT量表在危重患者营养风险早期检测中的预测价值及其与死亡率的关系

J. Auza-Santiváñez, Jorge Soneira Perez, Yanin Diaz Lara, David Orlando León, Nayra Condori-Villca, Juan Pablo Alvarez Loaces
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引用次数: 1

摘要

医院营养不良是一个全球性的健康问题,其患病率估计在30-60%之间。早期识别是危重病人管理和治疗的支柱。它的有用性已被证明可以提高这些患者的生存率,以及减少与之相关的并发症,并降低费用。目的:应用CONUT量表来评估营养风险并作为死亡率的预测因子。将其与入院原因、ICU住院时间、机械通气时间和出院状态联系起来,确定CONUT量表作为死亡率预测指标的敏感性和特异性,并将其与APACHE II量表进行比较。方法:在“米格尔Enríquez”医院重症监护室进行为期2年的治疗。应用的变量为:年龄、性别、ICU住院时间、原住院服务、机械通气需求、出院状况、根据CONUT和APACHE II进行营养状况分类。结果:男性居多,平均住院时间1 ~ 6 d,病死率低。超过90%的患者营养不良,入院时的诊断和机械通气的使用,与死亡率没有关联。结论:营养状况与ICU住院时间之间存在关联。ROC曲线显示,CONUT对预测营养风险及其与死亡率的关系具有较高的敏感性,而APACHE量表的敏感性较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive value of the CONUT scale in the early detection of nutritional risk and its relationship with mortality in critically ill patients
Introduction: Hospital malnutrition is a global health problem, and its prevalence has been estimated between 30–60%. Its early identification constitutes a pillar of the management and treatment of critically ill patients. Its usefulness has been shown both to improve the survival of these patients, as well as to reduce complications related to it, and reduce costs. Objectives: apply the CONUT scale to assess nutritional risk and as a predictor of mortality. Relate it with causes of admission, stay in the ICU, time on mechanical ventilation, and the state at discharge from the ICU and determine the sensitivity and specificity of the CONUT scale as a predictor of mortality and its comparison with the APACHE II scale. Methods: it was carried out in the ICU of the "Miguel Enríquez" Hospital for a period of 2 years. The variables applied were: age, sex, ICU stay, origin services, need for mechanical ventilation, discharge status, nutritional status classification according to CONUT and APACHE II. Results: There was a predominance of males, the average stay was between 1-6 days, and mortality was low. More than 90% of the patients were malnourished, the diagnosis at admission and the use of mechanical ventilation, and no association with mortality was demonstrated. Conclusions: An association between nutritional status and ICU stay was demonstrated. According to the ROC curve, it was shown that the CONUT has a high sensitivity to predict nutritional risk and its relationship with mortality, compared to the APACHE scale it was low.
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