Robinson Malcolm K, Mogensen Kris M, Casey Jonathan D, McKane Caitlin K, Moromizato Takuhiro, Rawn James D, Christopher Kenneth B
1Department of Surgery, Brigham and Women's Hospital, Boston, MA. 2Department of Nutrition, Brigham and Women's Hospital, Boston, MA. 3Department of Medicine, Brigham and Women's Hospital, Boston, MA. 4Department of Nursing, Brigham and Women's Hospital, Boston, MA. 5Department of Medicine, Hokubu Prefectural Hospital, Kunigami District, Okinawa Prefecture, Japan. 6The Nathan E. Hellman Memorial Laboratory, Renal Division, Brigham and Women's Hospital, Boston, MA.
Crit Care Med. 2015 Jan;43(1):87-100. doi: 10.1097/CCM.0000000000000602.
The association between obesity and mortality in critically ill patients is unclear based on the current literature. To clarify this relationship, we analyzed the association between obesity and mortality in a large population of critically ill patients and hypothesized that mortality would be impacted by nutritional status.
We performed a single-center observational study of 6,518 adult patients treated in medical and surgical ICUs between 2004 and 2011. All patients received a formal, in-person, and standardized evaluation by a registered dietitian. Body mass index was determined at the time of dietitian consultation from the estimated dry weight or hospital admission weight and categorized a priori as less than 18.5 kg/m (underweight), 18.5-24.9 kg/m (normal/referent), 25-29.9 kg/m (overweight), 30-39.9 kg/m (obesity class I and II), and more than or equal to 40.0 kg/m (obesity class III). Malnutrition diagnoses were categorized as nonspecific malnutrition, protein-energy malnutrition, or well nourished. The primary outcome was all-cause 30-day mortality determined by the Social Security Death Master File. Associations between body mass index 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 body mass index and mortality. We utilized propensity score matching on baseline characteristics and nutrition status to reduce residual confounding of the body mass index category assignment.
In the cohort, 5% were underweight, 36% were normal weight, 31% were overweight, 23% had class I/II obesity, and 5% had class III obesity. 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 rate for the cohort was 19.1 and 26.6%, respectively. Obesity is a significant predictor of improved 30-day mortality following adjustment for age, gender, race, medical versus surgical patient type, Deyo-Charlson index, acute organ failure, vasopressor use, and sepsis: underweight odds ratio 30-day mortality is 1.09 (95% CI, 0.80-1.48), overweight 30-day mortality odds ratio is 0.93 (95% CI, 0.80-1.09), class I/II obesity 30-day mortality odds ratio is 0.80 (95% CI, 0.67-0.96), and class III obesity 30-day mortality odds ratio is 0.69 (95% CI, 0.49-0.97), all relative to patients with body mass index 18.5-24.9 kg/m. Importantly, there is confounding of the obesity-mortality association on the basis of malnutrition. Adjustment for only nutrition status attenuates the obesity-30-day mortality association: underweight odds ratio is 0.74 (95% CI, 0.54-1.00), overweight odds ratio is 1.05 (95% CI, 0.90-1.23), class I/II obesity odds ratio is 0.96 (95% CI, 0.81-1.15), and class III obesity odds ratio is 0.81 (95% CI, 0.59-1.12), all relative to patients with body mass index 18.5-24.9 kg/m. In a subset of patients with body mass index more than or equal to 30.0 kg/m (n = 1,799), those with either nonspecific or protein-energy malnutrition have increased mortality relative to well-nourished patients with body mass index more than or equal to 30.0 kg/m: odds ratio of 90-day mortality is 1.67 (95% CI, 1.29-2.15; p < 0.0001), fully adjusted. In a cohort of propensity score matched patients (n = 3,554), the body mass index-mortality association was not statistically significant, likely from matching on nutrition status.
In a large population of critically ill adults, the association between improved mortality and obesity is confounded by malnutrition status. Critically ill obese patients with malnutrition have worse outcomes than obese patients without malnutrition.
基于当前文献,危重症患者中肥胖与死亡率之间的关联尚不清楚。为了阐明这种关系,我们分析了大量危重症患者中肥胖与死亡率之间的关联,并假设死亡率会受到营养状况的影响。
我们对2004年至2011年间在医疗和外科重症监护病房接受治疗的6518例成年患者进行了单中心观察性研究。所有患者均接受了注册营养师的正式、面对面和标准化评估。根据估计的干体重或入院体重在营养师会诊时确定体重指数,并预先分类为小于18.5kg/m(体重过轻)、18.5-24.9kg/m(正常/参照)、25-29.9kg/m(超重)、30-39.9kg/m(I级和II级肥胖)以及大于或等于40.0kg/m(III级肥胖)。营养不良诊断分为非特异性营养不良、蛋白质-能量营养不良或营养良好。主要结局是通过社会保障死亡主文件确定的全因30天死亡率。通过双变量和多变量逻辑回归模型估计体重指数组与死亡率之间的关联。通过纳入被认为可能与体重指数和死亡率均相互作用的协变量项来估计调整后的比值比。我们利用倾向评分匹配基线特征和营养状况,以减少体重指数类别分配的残余混杂。
在该队列中,5%为体重过轻,36%为正常体重,31%为超重,23%患有I/II级肥胖,5%患有III级肥胖。56%存在非特异性营养不良,12%存在蛋白质-能量营养不良,32%营养良好。该队列的30天和90天死亡率分别为19.1%和26.6%。在对年龄、性别、种族、内科与外科患者类型、Deyo-Charlson指数、急性器官衰竭、血管升压药使用和脓毒症进行调整后,肥胖是30天死亡率改善的显著预测因素:体重过轻的30天死亡率比值比为1.09(95%CI,0.80-1.48),超重的30天死亡率比值比为0.93(95%CI,0.80-1.09),I/II级肥胖的30天死亡率比值比为0.80(95%CI,0.67-0.96),III级肥胖的30天死亡率比值比为0.69(95%CI,0.49-0.97),所有均相对于体重指数为18.5-24.9kg/m的患者。重要的是,基于营养不良,肥胖与死亡率之间的关联存在混杂。仅对营养状况进行调整会减弱肥胖与30天死亡率之间的关联:体重过轻的比值比为0.74(95%CI,0.54-1.00),超重的比值比为1.05(95%CI,0.90-1.23),I/II级肥胖的比值比为0.96(95%CI,0.81-1.15),III级肥胖的比值比为0.81(95%CI,0.59-1.12),所有均相对于体重指数为18.5-24.9kg/m的患者。在体重指数大于或等于30.0kg/m的患者亚组(n = 1799)中,患有非特异性或蛋白质-能量营养不良的患者相对于体重指数大于或等于30.0kg/m的营养良好患者死亡率增加:90天死亡率的比值比为1.67(95%CI,1.29-2.15;p < 0.0001),完全调整后。在倾向评分匹配患者队列(n = 3554)中,体重指数与死亡率之间的关联无统计学意义,可能是由于在营养状况上进行了匹配。
在大量危重症成年患者中,死亡率改善与肥胖之间的关联受到营养不良状况的混杂。伴有营养不良的危重症肥胖患者比无营养不良的肥胖患者结局更差。