1Department of Nutrition, Brigham and Women's Hospital, Boston, Massachusetts. 2Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts. 3Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts. 4Harvard Medical School, Boston, Massachusetts. 5Department of Medicine, Okinawa Hokubu Prefectural Hospital, Okinawa, Japan. 6Department of Medicine, The Nathan E. Hellman Memorial Laboratory, Renal Division, Brigham and Women's Hospital.
Crit Care Med. 2015 Dec;43(12):2605-15. doi: 10.1097/CCM.0000000000001306.
The association between nutritional status and mortality in critically ill patients is unclear based on the current literature. To clarify this relation, we analyzed the association between nutrition and mortality in a large population of critically ill patients and hypothesized that mortality would be impacted by nutritional status.
Retrospective observational study.
Single academic medical center.
Six thousand five hundred eighteen adults treated in medical and surgical ICUs between 2004 and 2011.
None.
All cohort patients received a formal, in-person, standardized evaluation by a registered dietitian. The exposure of interest, malnutrition, was categorized as nonspecific malnutrition, protein-energy malnutrition, or well nourished and determined by data related to anthropometric measurements, biochemical indicators, clinical signs of malnutrition, malnutrition risk factors, and metabolic stress. The primary outcome was all-cause 30-day mortality determined by the Social Security Death Master File. Associations between nutrition groups and mortality were estimated by bivariable and multivariable logistic regression models. Adjusted odds ratios were estimated with inclusion of covariate terms thought to plausibly interact with both nutrition status and mortality. We used propensity score matching on baseline characteristics to reduce residual confounding of the nutrition status category assignment. In the cohort, nonspecific malnutrition was present in 56%, protein-energy malnutrition was present in 12%, and 32% were well nourished. The 30-day and 90-day mortality rates for the cohort were 19.1% and 26.6%, respectively. Nutritional status is a significant predictor of 30-day mortality following adjustment for age, gender, race, medical versus surgical patient type, Deyo-Charlson index, acute organ failure, vasopressor use, and sepsis: nonspecific malnutrition 30-day mortality odds ratio, 1.17 (95% CI, 1.01-1.37); protein-energy malnutrition 30-day mortality odds ratio, 2.10 (95% CI, 1.70-2.59), all relative to patients without malnutrition. In the matched cohort, the adjusted odds of 30-day mortality in the group of propensity score-matched patients with protein-energy malnutrition was two-fold greater than that of patients without malnutrition.
In a large population of critically ill adults, an association exists between nutrition status and mortality.
目前的文献资料尚不能明确危重症患者的营养状况与死亡率之间的关系。为了阐明这种关系,我们对大量危重症患者的营养与死亡率之间的关系进行了分析,并假设营养状况会影响死亡率。
回顾性观察性研究。
单家学术医疗中心。
2004 年至 2011 年间在医疗和外科重症监护病房接受治疗的 6518 名成年人。
无。
所有队列患者均由注册营养师进行了正式的面对面标准化评估。感兴趣的暴露因素,营养不良,分为非特异性营养不良、蛋白质能量营养不良或营养良好,并通过与人体测量学测量、生化指标、营养不良临床征象、营养不良危险因素和代谢应激相关的数据来确定。主要结局是通过社会安全死亡主文件确定的全因 30 天死亡率。通过单变量和多变量逻辑回归模型来评估营养组与死亡率之间的关系。通过纳入可能与营养状况和死亡率都相互作用的协变量项,来估计调整后的优势比。我们使用基线特征的倾向评分匹配来减少营养状况分类赋值的残余混杂。在该队列中,非特异性营养不良占 56%,蛋白质能量营养不良占 12%,营养良好占 32%。该队列的 30 天和 90 天死亡率分别为 19.1%和 26.6%。在调整年龄、性别、种族、医疗与外科患者类型、Deyo-Charlson 指数、急性器官衰竭、血管加压素使用和脓毒症后,营养状况是 30 天死亡率的显著预测因素:非特异性营养不良 30 天死亡率优势比为 1.17(95%可信区间,1.01-1.37);蛋白质能量营养不良 30 天死亡率优势比为 2.10(95%可信区间,1.70-2.59),均与无营养不良的患者相比。在匹配队列中,经倾向评分匹配的蛋白质能量营养不良患者组 30 天死亡率的调整优势比是无营养不良患者的两倍。
在大量危重症成年患者中,营养状况与死亡率之间存在关联。