Department of Surgery and Critical Care, Long Island Jewish Medical Center, New Hyde Park, New York 11004, USA.
JPEN J Parenter Enteral Nutr. 2013 May-Jun;37(3):368-74. doi: 10.1177/0148607112461281. Epub 2012 Sep 26.
The incidence of obesity is rising, and an increasing number of obese patients are admitted to surgical intensive care units (SICUs). However, it is not clear whether obesity is an independent risk factor for increased morbidity and mortality in SICU patients. We examined the effect of obesity on morbidity and mortality in patients admitted to the SICU in this study.
We reviewed prospectively acquired SICU data in normal and obese patients with an SICU length of stay >24 hours. Comparability of the groups was assessed using a χ(2) test or Fisher exact test, as appropriate, for categorical variables and analysis of variance (ANOVA) or the Kruskal-Wallis test, as appropriate, for continuous variables.
Of the 1792 consecutive patients evaluated, 711 had a normal body mass index (BMI), and 993 were either preobese or obese. There was no statistically significant difference across the 5 BMI groups with respect to any of the 3 comorbidity indices (Acute Physiology and Chronic Health Evaluation III [APACHE III], Simplified Acute Physiology Score, or Multiple Organ Dysfunction Score). There was no statistically significant difference in the intensive care unit (ICU) length of stay and hospital length of stay or time-to-ICU mortality (log-rank test P = .054) among the 5 BMI groups. A Cox regression analysis and backward elimination algorithm selected APACHE III to be the most important explanatory variable for survival time.
Obesity does not affect the mortality of patients admitted to the SICU. We conclude that obesity cannot be used as an independent predictive mortality outcome variable in patients admitted to the SICU.
肥胖的发病率正在上升,越来越多的肥胖患者被收入外科重症监护病房(SICU)。然而,肥胖是否是 SICU 患者发病率和死亡率增加的独立危险因素尚不清楚。我们在这项研究中检查了肥胖对 SICU 患者发病率和死亡率的影响。
我们回顾了在 SICU 住院时间> 24 小时的正常体重和肥胖患者的前瞻性获得的 SICU 数据。使用卡方检验或 Fisher 确切检验评估组间的可比性,对于分类变量使用方差分析(ANOVA)或 Kruskal-Wallis 检验,对于连续变量使用恰当的检验。
在评估的 1792 例连续患者中,711 例有正常体重指数(BMI),993 例为超重或肥胖。在这 5 个 BMI 组中,没有任何一个合并症指数(急性生理学和慢性健康评估 III [APACHE III]、简化急性生理学评分或多器官功能障碍评分)存在统计学显著差异。5 个 BMI 组之间在 ICU 住院时间、住院时间或 ICU 死亡率时间(对数秩检验 P =.054)方面无统计学显著差异。Cox 回归分析和向后消除算法选择 APACHE III 作为生存时间的最重要解释变量。
肥胖不会影响收入 SICU 的患者的死亡率。我们得出结论,肥胖不能作为收入 SICU 的患者独立预测死亡率的结局变量。